Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(n/1e12) + 'T';\n if (n >= 1e9) return '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(n/1e9) + 'B';\n if (n >= 1e6) return '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(n/1e6) + 'M';\n if (n >= 1e3) return '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(n/1e3) + 'K';\n return '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(n);\n}\nfunction colorClass(n) { return n > 0 ? 'positive' : n \u003c 0 ? 'negative' : 'neutral'; }\nfunction trendTag(trend) {\n const colors = {increasing:'red', decreasing:'green', stable:'blue', improving:'green', deteriorating:'red', flat:'yellow'};\n return '\u003cspan class=\"tag ' + (colors[trend]||'yellow') + '\">' + trend + '\u003c/span>';\n}\n\nfunction render() {\n const token = Object.keys(DATA.tokens || {})[0] || '\\u2014';\n const td = (DATA.tokens || {})[token] || {};\n const macro = DATA.macro || {};\n const deriv = td.derivatives || {};\n const mstruct = td.market_structure || {};\n\n // Header\n document.getElementById('token-symbol').textContent = token;\n document.getElementById('timestamp').textContent = DATA.generated_at || '\\u2014';\n\n const ticker = mstruct.ticker_24h || {};\n if (ticker.price) {\n document.getElementById('price').textContent = '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(ticker.price);\n const el = document.getElementById('price-change');\n el.textContent = fmtPct(ticker.price_change_pct);\n el.className = 'change ' + (ticker.price_change_pct >= 0 ? 'up' : 'down');\n }\n\n // Realized vol in header tag\n const rvol = mstruct.realized_vol || {};\n if (rvol.realized_vol_annualized_pct != null) {\n document.getElementById('vol-tag').textContent = 'RVol ' + fmt(rvol.realized_vol_annualized_pct, 1) + '%';\n }\n\n // ── Derivatives ──\n const funding = deriv.funding || {};\n if (funding.rate_pct != null) {\n const el = document.getElementById('funding-rate');\n el.textContent = funding.rate_pct.toFixed(4) + '%';\n el.className = 'metric-value ' + colorClass(funding.rate_pct);\n }\n if (funding.rate_annualized_pct != null) {\n const el = document.getElementById('funding-annual');\n el.textContent = fmtPct(funding.rate_annualized_pct);\n el.className = 'metric-value ' + colorClass(funding.rate_annualized_pct);\n }\n\n // Funding history trend\n const fh = deriv.funding_history || {};\n if (fh.trend) {\n document.getElementById('funding-trend').innerHTML = fh.avg_rate_pct != null\n ? 'Avg ' + fh.avg_rate_pct.toFixed(4) + '% ' + trendTag(fh.trend)\n : trendTag(fh.trend);\n }\n\n // Funding sparkline\n if (fh.rates && fh.rates.length > 0) {\n const container = document.getElementById('funding-spark-container');\n container.style.display = 'block';\n const spark = document.getElementById('funding-spark');\n const rates = fh.rates.slice().reverse(); // oldest first\n const maxAbs = Math.max(...rates.map(Math.abs), 0.001);\n spark.innerHTML = rates.map(r => {\n const h = Math.max(4, Math.abs(r) / maxAbs * 36);\n const c = r >= 0 ? 'var(--green)' : 'var(--red)';\n return '\u003cdiv class=\"funding-bar\" style=\"height:' + h + 'px;background:' + c + ';\">\u003c/div>';\n }).join('');\n }\n\n // Open Interest\n const oi = deriv.open_interest || {};\n if (oi.oi) {\n document.getElementById('open-interest').textContent = fmt(oi.oi, 0) + ' contracts';\n }\n if (oi.oi_currency) {\n document.getElementById('open-interest').textContent += ' (' + fmt(oi.oi_currency, 2) + ' coin)';\n }\n\n // OI delta\n const oih = deriv.oi_history || {};\n if (oih.oi_delta_1d_pct != null) {\n const el = document.getElementById('oi-delta');\n el.textContent = fmtPct(oih.oi_delta_1d_pct);\n el.className = 'metric-value ' + colorClass(oih.oi_delta_1d_pct);\n }\n\n // Basis\n const basis = deriv.basis || {};\n if (basis.basis_pct != null) {\n const el = document.getElementById('basis');\n el.textContent = basis.basis_pct.toFixed(4) + '% ' + (basis.interpretation || '');\n el.className = 'metric-value ' + colorClass(basis.basis_pct);\n }\n\n // Funding divergence\n const fdiv = deriv.funding_divergence || {};\n if (fdiv.divergence_pct != null) {\n const el = document.getElementById('funding-div');\n el.innerHTML = fdiv.divergence_pct.toFixed(4) + '% ' + (fdiv.signal ? '\u003cspan class=\"tag blue\">' + fdiv.signal + '\u003c/span>' : '');\n }\n\n // ── Market Structure ──\n const ls = mstruct.long_short || {};\n // OKX path: long_ratio / short_ratio\n if (ls.long_ratio != null) {\n document.getElementById('long-short').textContent = (ls.long_ratio * 100).toFixed(1) + '% L / ' + ((ls.short_ratio || (1 - ls.long_ratio)) * 100).toFixed(1) + '% S';\n document.getElementById('long-short').className = 'metric-value ' + (ls.long_ratio > 0.5 ? 'positive' : 'negative');\n }\n // Binance fallback path\n if (ls.top_long_ratio != null) {\n document.getElementById('top-long').textContent = (ls.top_long_ratio * 100).toFixed(1) + '%';\n if (!ls.long_ratio) {\n document.getElementById('long-short').textContent = 'Top ' + (ls.top_long_ratio * 100).toFixed(1) + '% L';\n }\n }\n if (ls.global_long_ratio != null) {\n document.getElementById('global-long').textContent = (ls.global_long_ratio * 100).toFixed(1) + '%';\n }\n\n // Taker — from taker_volume object (separate from long_short)\n const tv = mstruct.taker_volume || {};\n if (tv.buy_sell_ratio != null) {\n const el = document.getElementById('taker-ratio');\n el.textContent = fmt(tv.buy_sell_ratio, 3);\n el.className = 'metric-value ' + (tv.buy_sell_ratio > 1 ? 'positive' : tv.buy_sell_ratio \u003c 1 ? 'negative' : 'neutral');\n } else if (ls.taker_buy_sell_ratio != null) {\n // Binance fallback bundles taker in long_short\n const el = document.getElementById('taker-ratio');\n el.textContent = fmt(ls.taker_buy_sell_ratio, 3);\n el.className = 'metric-value ' + (ls.taker_buy_sell_ratio > 1 ? 'positive' : 'negative');\n }\n\n if (ticker.volume_24h_quote) document.getElementById('volume-24h').textContent = fmtUSD(ticker.volume_24h_quote);\n if (ticker.high_24h && ticker.low_24h) document.getElementById('high-low').textContent = '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(ticker.high_24h) + ' /

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(ticker.low_24h);\n\n // Options\n const opts = deriv.options || {};\n if (opts.put_call_ratio != null) document.getElementById('put-call').textContent = fmt(opts.put_call_ratio, 3);\n if (opts.max_pain != null) document.getElementById('max-pain').textContent = '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(opts.max_pain, 0);\n\n // ── Macro ──\n const fng = macro.fear_greed || {};\n if (fng.value != null) {\n document.getElementById('fng-value').textContent = fng.value;\n document.getElementById('fng-label').textContent = fng.classification || 'Fear & Greed';\n const gauge = document.getElementById('fng-gauge');\n gauge.style.width = fng.value + '%';\n gauge.style.background = fng.value \u003c 25 ? 'var(--red)' : fng.value \u003c 50 ? 'var(--yellow)' : fng.value \u003c 75 ? 'var(--green)' : 'var(--cyan)';\n }\n if (fng.trend_7d) {\n document.getElementById('fng-trend').innerHTML = trendTag(fng.trend_7d);\n }\n\n const glob = macro.global || {};\n if (glob.btc_dominance) document.getElementById('btc-dom').textContent = glob.btc_dominance + '%';\n if (glob.total_market_cap_usd) document.getElementById('total-mcap').textContent = fmtUSD(glob.total_market_cap_usd);\n if (glob.market_cap_change_24h_pct != null) {\n const el = document.getElementById('mcap-change');\n el.textContent = fmtPct(glob.market_cap_change_24h_pct);\n el.className = 'metric-value ' + colorClass(glob.market_cap_change_24h_pct);\n }\n const stable = macro.stablecoins || {};\n if (stable.total_stablecoin_mcap) document.getElementById('stable-mcap').textContent = fmtUSD(stable.total_stablecoin_mcap);\n\n // ── Volatility & Liquidations ──\n if (rvol.realized_vol_annualized_pct != null) {\n document.getElementById('rvol').textContent = rvol.realized_vol_annualized_pct.toFixed(1) + '%';\n }\n\n const liq = mstruct.liquidations || {};\n if (liq.pressure) {\n const el = document.getElementById('liq-pressure');\n const pColor = liq.pressure.startsWith('high') ? 'red' : liq.pressure.startsWith('moderate') ? 'yellow' : 'green';\n el.innerHTML = '\u003cspan class=\"tag ' + pColor + '\">' + liq.pressure.split('—')[0].trim() + '\u003c/span>';\n }\n if (liq.latest_ls_ratio != null) {\n document.getElementById('liq-ratio').textContent = fmt(liq.latest_ls_ratio, 4) + ' (avg ' + fmt(liq.avg_ls_ratio_12h, 4) + ')';\n }\n if (liq.ratio_swing_12h != null) {\n const el = document.getElementById('liq-swing');\n el.textContent = fmt(liq.ratio_swing_12h, 4);\n el.className = 'metric-value ' + (liq.ratio_swing_12h > 0.1 ? 'negative' : 'neutral');\n }\n if (liq.bias) {\n const el = document.getElementById('liq-bias');\n const biasColor = liq.bias.includes('longs') ? 'red' : liq.bias.includes('shorts') ? 'green' : 'yellow';\n el.innerHTML = '\u003cspan class=\"tag ' + biasColor + '\">' + liq.bias + '\u003c/span>';\n }\n if (liq.long_pct != null) {\n const container = document.getElementById('liq-bar-container');\n container.style.display = 'block';\n document.getElementById('liq-bar-long').style.width = liq.long_pct + '%';\n document.getElementById('liq-bar-short').style.width = (100 - liq.long_pct) + '%';\n }\n\n // ── On-Chain: MVRV ──\n const onchain = td.on_chain || {};\n const mvrv = onchain.mvrv || {};\n if (mvrv.mvrv != null) {\n document.getElementById('mvrv-value').textContent = mvrv.mvrv.toFixed(3);\n const zoneEl = document.getElementById('mvrv-zone');\n const zone = mvrv.zone || '';\n zoneEl.textContent = zone;\n if (zone.includes('overheated') || zone.includes('danger')) {\n zoneEl.style.background = 'rgba(255,82,82,0.15)'; zoneEl.style.color = 'var(--red)';\n } else if (zone.includes('undervalued') || zone.includes('accumulation')) {\n zoneEl.style.background = 'rgba(0,230,118,0.15)'; zoneEl.style.color = 'var(--green)';\n } else if (zone.includes('underwater')) {\n zoneEl.style.background = 'rgba(68,138,255,0.15)'; zoneEl.style.color = 'var(--blue)';\n } else {\n zoneEl.style.background = 'rgba(255,215,64,0.15)'; zoneEl.style.color = 'var(--yellow)';\n }\n }\n if (mvrv.realized_price != null) {\n document.getElementById('mvrv-realized').textContent = '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(mvrv.realized_price, 0);\n }\n if (mvrv.mvrv_30d_low != null && mvrv.mvrv_30d_high != null) {\n document.getElementById('mvrv-range').textContent = mvrv.mvrv_30d_low.toFixed(3) + ' — ' + mvrv.mvrv_30d_high.toFixed(3);\n }\n if (mvrv.mvrv_30d_avg != null) {\n document.getElementById('mvrv-avg').textContent = mvrv.mvrv_30d_avg.toFixed(3);\n }\n\n // ── Gamma Wall ──\n const gw = deriv.gamma_wall || {};\n if (gw.gamma_wall_strike != null) {\n document.getElementById('gamma-strike').textContent = '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(gw.gamma_wall_strike, 0);\n document.getElementById('gamma-type').innerHTML = gw.wall_type ? '\u003cspan class=\"tag ' + (gw.wall_type.includes('support') ? 'green' : 'red') + '\">' + gw.wall_type + '\u003c/span>' : '';\n document.getElementById('gamma-exposure').textContent = fmt(gw.gamma_wall_exposure, 0);\n }\n if (gw.top_strikes && gw.top_strikes.length > 0) {\n const container = document.getElementById('gamma-chart-container');\n container.style.display = 'block';\n const chart = document.getElementById('gamma-chart');\n const maxGamma = Math.max(...gw.top_strikes.map(s => s.gamma));\n chart.innerHTML = gw.top_strikes.map(s => {\n const h = Math.max(6, (s.gamma / maxGamma) * 56);\n const isWall = s.strike === gw.gamma_wall_strike;\n const c = isWall ? 'var(--green)' : 'var(--blue)';\n return '\u003cdiv class=\"gamma-col\" style=\"height:' + h + 'px;background:' + c + ';' + (isWall ? 'box-shadow:0 0 6px var(--green);' : '') + '\">'\n + '\u003cspan class=\"gamma-tip\">

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+ fmt(s.strike, 0) + ': ' + fmt(s.gamma, 0) + '\u003c/span>\u003c/div>';\n }).join('');\n }\n\n // ── Options Skew ──\n const skew = deriv.skew || {};\n if (skew.skew_25d != null) {\n const el = document.getElementById('skew-value');\n el.textContent = (skew.skew_25d >= 0 ? '+' : '') + skew.skew_25d.toFixed(2) + '%';\n el.style.color = skew.skew_25d > 2 ? 'var(--red)' : skew.skew_25d \u003c -2 ? 'var(--green)' : 'var(--yellow)';\n }\n if (skew.signal) {\n const sigEl = document.getElementById('skew-signal');\n const sigColor = skew.signal.includes('bearish') ? 'red' : skew.signal.includes('bullish') ? 'green' : 'yellow';\n sigEl.innerHTML = '\u003cspan class=\"tag ' + sigColor + '\">' + skew.signal + '\u003c/span>';\n }\n if (skew.skew_25d != null) {\n document.getElementById('skew-meter-container').style.display = 'block';\n // Map skew from [-15, +15] to [0%, 100%]\n const pct = Math.min(100, Math.max(0, (skew.skew_25d + 15) / 30 * 100));\n document.getElementById('skew-needle').style.left = pct + '%';\n }\n if (skew.put_25d_iv != null) document.getElementById('skew-put-iv').textContent = skew.put_25d_iv.toFixed(2) + '%';\n if (skew.call_25d_iv != null) document.getElementById('skew-call-iv').textContent = skew.call_25d_iv.toFixed(2) + '%';\n if (skew.atm_iv != null) document.getElementById('skew-atm').textContent = skew.atm_iv.toFixed(2) + '%';\n if (skew.butterfly != null) document.getElementById('skew-butterfly').textContent = skew.butterfly.toFixed(2) + '%';\n\n // ── Data Source Status ──\n const sources = [\n {name: 'OKX Spot', ok: ticker.status === 'available'},\n {name: 'OKX Funding', ok: (deriv.funding || {}).source === 'okx'},\n {name: 'OKX OI', ok: (deriv.open_interest || {}).source === 'okx'},\n {name: 'OKX Options', ok: (deriv.options || {}).status === 'available'},\n {name: 'OKX Taker', ok: tv.status === 'available'},\n {name: 'OKX Gamma Wall', ok: gw.status === 'available'},\n {name: 'OKX Skew', ok: skew.status === 'available'},\n {name: 'CoinMetrics MVRV', ok: mvrv.status === 'available'},\n {name: 'Binance L/S', ok: ls.source === 'binance_fallback'},\n {name: 'Binance Liq', ok: liq.status === 'available'},\n {name: 'Fear & Greed', ok: fng.status === 'available'},\n {name: 'CoinGecko', ok: glob.status === 'available'},\n {name: 'DefiLlama', ok: stable.status === 'available'},\n ];\n const sg = document.getElementById('status-grid');\n sg.innerHTML = sources.map(s => {\n const cls = s.ok === true ? 'ok' : s.ok === false ? 'fail' : 'warn';\n return '\u003cdiv class=\"status-item\">\u003cspan class=\"status-dot ' + cls + '\">\u003c/span>' + s.name + '\u003c/div>';\n }).join('');\n}\n\nrender();\n\u003c/script>\n\u003c/body>\n\u003c/html>\n","content_type":"text/html; charset=utf-8","language":"markup","size":29502,"content_sha256":"51a90dfbf6d95302827719e0857b8edc956859140c3ced87bcd53b3f8af2402f"},{"filename":"config.py","content":"\"\"\"\nMarket Structure Analyzer v3.0 — Configuration\nRead-only analytics skill. No trading, no wallet access.\nPrimary: OKX CeFi CLI + OnchainOS CLI. Secondary: Direct HTTP for options + macro.\n\"\"\"\n\n# ── Output ─────────────────────────────────────────────────────────────\nOUTPUT_FORMAT = \"json\" # \"json\" / \"text\"\nDEFAULT_TOKENS = [\"BTC\"] # Default tokens when none specified\n\n# ── Data Sources (HTTP — used for options chain + external macro) ─────\nOKX_BASE = \"https://www.okx.com/api/v5\" # options chain only (gamma wall, skew)\nCOINMETRICS_BASE = \"https://community-api.coinmetrics.io/v4\"\nCOINGECKO_BASE = \"https://api.coingecko.com/api/v3\"\nALTERNATIVE_BASE = \"https://api.alternative.me\"\nDEFILLAMA_BASE = \"https://stablecoins.llama.fi\"\n\n# ── Rate Limits ────────────────────────────────────────────────────────\nREQUEST_TIMEOUT = 10 # seconds per HTTP request\nMAX_RETRIES = 2 # retry on transient failures\n\n# ── Dashboard ─────────────────────────────────────────────────────────\nDASHBOARD_PORT = 8420\nSTRUCTURE_POLL_SEC = 60 # structure indicator refresh\nCANDLE_POLL_SEC = 30 # candle + TA refresh\nCANDLE_LIMIT = 300 # max candles to fetch\nSUPPORTED_BARS = [\"5m\", \"15m\", \"1H\", \"4H\", \"1D\"]\n\n# ── TA Indicator Parameters ───────────────────────────────────────────\nRSI_PERIOD = 14\nBB_PERIOD = 20\nBB_STD = 2.0\nMACD_FAST = 12\nMACD_SLOW = 26\nMACD_SIGNAL = 9\n\n# ── Risk Disclaimer ───────────────────────────────────────────────────\n# This skill is READ-ONLY analytics. It does NOT execute trades,\n# access wallets, or manage funds. All data is from public APIs.\n","content_type":"text/x-python; charset=utf-8","language":"python","size":2244,"content_sha256":"6b55946ade67c74245138867e89ce8f6294e791c0933bb2cb2eb24fe491302a3"},{"filename":"dashboard.html","content":"\u003c!DOCTYPE html>\n\u003chtml>\n\u003chead>\n\u003cmeta charset=\"utf-8\">\n\u003cmeta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n\u003ctitle>Market Analyzer · Pro\u003c/title>\n\u003cscript src=\"https://unpkg.com/react@18/umd/react.production.min.js\" crossorigin>\u003c/script>\n\u003cscript src=\"https://unpkg.com/react-dom@18/umd/react-dom.production.min.js\" crossorigin>\u003c/script>\n\u003cscript src=\"https://unpkg.com/@babel/[email protected]/babel.min.js\" crossorigin>\u003c/script>\n\u003cscript src=\"https://unpkg.com/lightweight-charts@4/dist/lightweight-charts.standalone.production.js\">\u003c/script>\n\u003cstyle>\n/* ═══ OKX Sans Font ═══ 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animation:fetchBar 1.4s ease-in-out infinite;\n box-shadow:0 0 12px rgba(188,255,47,0.5),0 0 4px rgba(34,211,238,0.4)}\n\n@keyframes fetchPulse{0%,100%{opacity:1;box-shadow:0 0 8px rgba(37,167,80,0.9)}50%{opacity:0.6;box-shadow:0 0 14px rgba(188,255,47,0.9),0 0 4px rgba(34,211,238,0.6)}}\n.live-dot-fetching{animation:fetchPulse 0.6s ease-in-out infinite !important;background:var(--lime) !important}\n\n@keyframes cardShimmer{0%{left:-100%}100%{left:200%}}\n.card-shimmer{position:absolute;top:0;left:-100%;width:50%;height:100%;pointer-events:none;z-index:1;\n background:linear-gradient(90deg,transparent,rgba(255,255,255,0.03),rgba(255,255,255,0.06),rgba(255,255,255,0.03),transparent);\n animation:cardShimmer 1.2s ease-out forwards}\n\n@keyframes dotRipple{0%{transform:scale(1);opacity:1}100%{transform:scale(3.5);opacity:0}}\n.dot-ripple{position:absolute;width:6px;height:6px;border-radius:50%;background:var(--profit-2);animation:dotRipple 0.8s ease-out forwards}\n\u003c/style>\n\u003c/head>\n\u003cbody class=\"grid-bg\">\n\u003cdiv id=\"root\">\u003c/div>\n\n\u003cscript type=\"text/babel\" data-presets=\"env,react\">\n// ═══════════════════════════════════════════════════════════════════\n// CONSTANTS & FORMATTERS\n// ═══════════════════════════════════════════════════════════════════\nconst PROFIT='#1fd65c',LOSS='#f04872',LIME='#bcff2f',AMBER='#ffb117',VIOLET='#8a91ff',BLUE='#3077ff',CYAN='#22d3ee',INK3='#8a8f9c',INK4='#5a5f6b',HAIR='rgba(255,255,255,0.07)',HAIR2='rgba(255,255,255,0.04)';\n\nconst fmt = {\n usd: (n,d=0) => n!=null ? 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Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+n.toLocaleString('en-US',{minimumFractionDigits:d,maximumFractionDigits:d}) : '—',\n n: (n,d=0) => n!=null ? n.toLocaleString('en-US',{minimumFractionDigits:d,maximumFractionDigits:d}) : '—',\n pct: (n,d=2) => n!=null ? (n>=0?'+':'')+(n*100).toFixed(d)+'%' : '—',\n pctR: (n,d=2) => n!=null ? n.toFixed(d)+'%' : '—',\n signed: (n,d=2) => n!=null ? (n>=0?'+':'')+n.toFixed(d) : '—',\n bps: (n) => n!=null ? (n*10000).toFixed(1)+' bps' : '—',\n compact: (n) => {\n if(n==null) return '—';\n if(n>=1e12) return '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+(n/1e12).toFixed(2)+'T';\n if(n>=1e9) return '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+(n/1e9).toFixed(1)+'B';\n if(n>=1e6) return '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+(n/1e6).toFixed(1)+'M';\n if(n>=1e3) return '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+(n/1e3).toFixed(1)+'K';\n return '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+n.toFixed(2);\n },\n};\n\n// ═══════════════════════════════════════════════════════════════════\n// DATA HOOKS\n// ═══════════════════════════════════════════════════════════════════\nconst DataContext = React.createContext(null);\n\nfunction DataProvider({ children }) {\n const [state, setState] = React.useState(null);\n const [candles, setCandles] = React.useState(null);\n const [token, _setToken] = React.useState('BTC');\n const [bar, _setBar] = React.useState('1H');\n const [loading, setLoading] = React.useState(true);\n const [feedCount, setFeedCount] = React.useState(0);\n const [latency, setLatency] = React.useState(0);\n const prevPrice = React.useRef(null);\n const [flash, setFlash] = React.useState('');\n const [ticker, setTicker] = React.useState(null); // fast price ticker\n const [stateAge, setStateAge] = React.useState(0); // seconds since last state refresh\n const [candleAge, setCandleAge] = React.useState(0); // seconds since last candle refresh\n const stateTs = React.useRef(0);\n const candleTs = React.useRef(0);\n const [fetchingTicker, setFetchingTicker] = React.useState(false);\n const [fetchingState, setFetchingState] = React.useState(false);\n const [fetchingCandles, setFetchingCandles] = React.useState(false);\n const [stateShimmer, setStateShimmer] = React.useState(0); // increment to trigger shimmer\n const [candleShimmer, setCandleShimmer] = React.useState(0);\n\n const setToken = React.useCallback((t) => {\n _setToken(t);\n fetch('/api/set?token=' + t);\n }, []);\n\n const setBar = React.useCallback((b) => {\n _setBar(b);\n fetch('/api/set?bar=' + b);\n }, []);\n\n // Fetch state\n React.useEffect(() => {\n let active = true;\n const go = async () => {\n const t0 = Date.now();\n setFetchingState(true);\n try {\n const r = await fetch('/api/state?token=' + token);\n const d = await r.json();\n if (active) {\n setState(d);\n setLatency(Date.now() - t0);\n const s = d.structure || {};\n const m = d.macro || {};\n let count = 0;\n const check = (obj) => { if (obj && obj.status === 'available') count++; };\n const deriv = s.derivatives || {};\n const mstruct = s.market_structure || {};\n check(deriv.funding); check(deriv.open_interest); check(deriv.options);\n check(mstruct.taker_volume); check(mstruct.ticker_24h); check(mstruct.long_short);\n check(mstruct.liquidations); check(deriv.gamma_wall); check(deriv.skew);\n check((s.on_chain||{}).mvrv); check(m.fear_greed); check(m.global); check(m.stablecoins);\n setFeedCount(count);\n setLoading(false);\n stateTs.current = Date.now();\n setStateShimmer(v => v + 1);\n }\n } catch(e) { console.error('fetchState:', e); }\n if (active) setFetchingState(false);\n };\n go();\n const iv = setInterval(go, 60000);\n return () => { active = false; clearInterval(iv); };\n }, [token]);\n\n // Fast ticker (every 3s)\n React.useEffect(() => {\n let active = true;\n const go = async () => {\n setFetchingTicker(true);\n try {\n const r = await fetch('/api/ticker?token=' + token);\n const d = await r.json();\n if (active && d.price != null) {\n const prev = ticker;\n setTicker(d);\n if (prev && prev.price != null) {\n if (d.price > prev.price) setFlash('flash-up');\n else if (d.price \u003c prev.price) setFlash('flash-down');\n setTimeout(() => setFlash(''), 650);\n }\n }\n } catch(e) {}\n if (active) setFetchingTicker(false);\n };\n go();\n const iv = setInterval(go, 3000);\n return () => { active = false; clearInterval(iv); };\n }, [token]);\n\n // Fetch candles\n React.useEffect(() => {\n let active = true;\n const go = async () => {\n setFetchingCandles(true);\n try {\n const r = await fetch(`/api/candles?token=${token}&bar=${bar}`);\n const d = await r.json();\n if (active && !d.error) {\n setCandles(d);\n candleTs.current = Date.now();\n setCandleShimmer(v => v + 1);\n const last = d.candles && d.candles.length ? d.candles[d.candles.length-1].close : null;\n if (last != null && prevPrice.current != null) {\n if (last > prevPrice.current) setFlash('flash-up');\n else if (last \u003c prevPrice.current) setFlash('flash-down');\n }\n prevPrice.current = last;\n setTimeout(() => setFlash(''), 650);\n }\n } catch(e) { console.error('fetchCandles:', e); }\n if (active) setFetchingCandles(false);\n };\n go();\n const iv = setInterval(go, 30000);\n return () => { active = false; clearInterval(iv); };\n }, [token, bar]);\n\n // Age counter — ticks every second\n React.useEffect(() => {\n const iv = setInterval(() => {\n if (stateTs.current) setStateAge(Math.floor((Date.now() - stateTs.current) / 1000));\n if (candleTs.current) setCandleAge(Math.floor((Date.now() - candleTs.current) / 1000));\n }, 1000);\n return () => clearInterval(iv);\n }, []);\n\n const fetching = fetchingTicker || fetchingState || fetchingCandles;\n\n const value = React.useMemo(() => ({\n state, candles, token, setToken, bar, setBar, loading, feedCount, latency, flash,\n ticker, stateAge, candleAge,\n fetching, fetchingTicker, fetchingState, fetchingCandles,\n stateShimmer, candleShimmer,\n }), [state, candles, token, setToken, bar, setBar, loading, feedCount, latency, flash,\n ticker, stateAge, candleAge,\n fetching, fetchingTicker, fetchingState, fetchingCandles,\n stateShimmer, candleShimmer]);\n\n return \u003cDataContext.Provider value={value}>{children}\u003c/DataContext.Provider>;\n}\n\nfunction useData() { return React.useContext(DataContext); }\n\n// ═══════════════════════════════════════════════════════════════════\n// SVG CHART PRIMITIVES\n// ═══════════════════════════════════════════════════════════════════\n\nfunction Sparkline({ points, width=140, height=32, color=LIME, fill=true }) {\n if (!points || !points.length) return null;\n const lo=Math.min(...points), hi=Math.max(...points), rng=hi-lo||1;\n const stepX=width/(points.length-1);\n const y=v=>height-((v-lo)/rng)*height;\n const d=points.map((p,i)=>(i?'L':'M')+(i*stepX)+' '+y(p)).join(' ');\n const area=d+` L ${width} ${height} L 0 ${height} Z`;\n const id='spk'+Math.random().toString(36).slice(2,8);\n return (\n \u003csvg viewBox={`0 0 ${width} ${height}`} width={width} height={height} style={{display:'block'}}>\n {fill && \u003c>\n \u003cdefs>\u003clinearGradient id={id} x1=\"0\" x2=\"0\" y1=\"0\" y2=\"1\">\n \u003cstop offset=\"0%\" stopColor={color} stopOpacity=\"0.35\"/>\u003cstop offset=\"100%\" stopColor={color} stopOpacity=\"0\"/>\n \u003c/linearGradient>\u003c/defs>\n \u003cpath d={area} fill={`url(#${id})`}/>\n \u003c/>}\n \u003cpath d={d} stroke={color} strokeWidth=\"1.4\" fill=\"none\"/>\n \u003c/svg>\n );\n}\n\nfunction FundingHistogram({ data, width=460, height=56 }) {\n if (!data || !data.length) return null;\n const W=width,H=height,max=Math.max(...data.map(d=>Math.abs(d)),0.001);\n const bw=W/data.length, zero=H/2;\n return (\n \u003csvg viewBox={`0 0 ${W} ${H}`} width=\"100%\" height={H} style={{display:'block'}}>\n \u003cline x1=\"0\" x2={W} y1={zero} y2={zero} stroke={HAIR}/>\n {data.map((d,i) => {\n const h=(Math.abs(d)/max)*(H/2-2);\n const up=d>=0;\n return \u003crect key={i} x={i*bw+0.4} y={up?zero-h:zero} width={bw-0.8} height={h} fill={up?PROFIT:LOSS} opacity=\"0.85\"/>;\n })}\n \u003c/svg>\n );\n}\n\nfunction RegimeGauge({ score, width=200, height=120 }) {\n const cx=width/2, cy=height-10, r=82;\n const start=Math.PI, end=0;\n const normalized = Math.max(-1, Math.min(1, score / 100));\n const angle=start-(normalized+1)/2*(start-end);\n const x=cx+Math.cos(angle)*r, y=cy-Math.sin(angle)*r;\n const segs=60;\n return (\n \u003csvg viewBox={`0 0 ${width} ${height}`} width={width} height={height}>\n {Array.from({length:segs},(_,i) => {\n const a0=start-(i/segs)*(start-end);\n const a1=start-((i+1)/segs)*(start-end);\n const t=i/segs;\n const col=t\u003c0.4?LOSS:t\u003c0.6?'#7d7d7d':PROFIT;\n const x0=cx+Math.cos(a0)*r,y0=cy-Math.sin(a0)*r;\n const x1=cx+Math.cos(a1)*r,y1=cy-Math.sin(a1)*r;\n return \u003cpath key={i} d={`M ${x0} ${y0} A ${r} ${r} 0 0 1 ${x1} ${y1}`} fill=\"none\" stroke={col} strokeWidth=\"8\" strokeLinecap=\"butt\"/>;\n })}\n \u003cline x1={cx} y1={cy} x2={x} y2={y} stroke=\"#fff\" strokeWidth=\"2\"/>\n \u003ccircle cx={cx} cy={cy} r=\"5\" fill=\"#fff\"/>\n \u003ctext x={cx} y={cy+18} fontSize=\"9\" fill={INK3} textAnchor=\"middle\" fontFamily=\"inherit\">BEAR · NEUTRAL · BULL\u003c/text>\n \u003c/svg>\n );\n}\n\nfunction GreedGauge({ value }) {\n const W=130,H=78,cx=W/2,cy=H-6,r=54;\n const ang=Math.PI*(1-(value||0)/100);\n const x=cx+Math.cos(ang)*r,y=cy-Math.sin(ang)*r;\n const seg=(a0,a1,col)=>{\n const x0=cx+Math.cos(a0)*r,y0=cy-Math.sin(a0)*r;\n const x1=cx+Math.cos(a1)*r,y1=cy-Math.sin(a1)*r;\n return \u003cpath d={`M ${x0} ${y0} A ${r} ${r} 0 0 1 ${x1} ${y1}`} stroke={col} strokeWidth=\"7\" fill=\"none\"/>;\n };\n return (\n \u003csvg viewBox={`0 0 ${W} ${H}`} width={W} height={H}>\n {seg(Math.PI, Math.PI*0.75, '#f04872')}\n {seg(Math.PI*0.75, Math.PI*0.5, '#ffb117')}\n {seg(Math.PI*0.5, Math.PI*0.25, '#bcff2f')}\n {seg(Math.PI*0.25, 0, '#25a750')}\n \u003cline x1={cx} y1={cy} x2={x} y2={y} stroke=\"#fff\" strokeWidth=\"2\"/>\n \u003ccircle cx={cx} cy={cy} r=\"4\" fill=\"#fff\"/>\n \u003c/svg>\n );\n}\n\nfunction GammaChart({ strikes, wallStrike }) {\n if (!strikes || !strikes.length) return null;\n const max = Math.max(...strikes.map(s => s.gamma), 1);\n return (\n \u003cdiv style={{display:'flex',alignItems:'flex-end',gap:1,height:56,marginTop:8}}>\n {strikes.map((s,i) => {\n const h = Math.max(6, (s.gamma/max)*50);\n const isWall = s.strike === wallStrike;\n const c = isWall ? PROFIT : BLUE;\n return (\n \u003cdiv key={i} style={{flex:1,height:h,background:c,borderRadius:'2px 2px 0 0',\n boxShadow:isWall?'0 0 6px '+PROFIT:'none',position:'relative',cursor:'pointer'}} title={`${fmt.n(s.strike,0)}: ${fmt.n(s.gamma,0)}`}/>\n );\n })}\n \u003c/div>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// LIGHTWEIGHT CHARTS WRAPPER\n// ═══════════════════════════════════════════════════════════════════\n\nfunction LWChart({ candles, ta, height=340 }) {\n const containerRef = React.useRef(null);\n const chartRef = React.useRef(null);\n const seriesRef = React.useRef({});\n\n React.useEffect(() => {\n if (!containerRef.current) return;\n const chart = LightweightCharts.createChart(containerRef.current, {\n layout: { background:{type:'solid',color:'transparent'}, textColor:'#8a8f9c', fontFamily:\"'OKXSans',system-ui,sans-serif\", fontSize:11 },\n grid: { vertLines:{color:'rgba(255,255,255,0.03)'}, horzLines:{color:'rgba(255,255,255,0.03)'} },\n crosshair: { mode: 0 },\n rightPriceScale: { borderColor:'rgba(255,255,255,0.07)' },\n timeScale: { borderColor:'rgba(255,255,255,0.07)', timeVisible:true, secondsVisible:false },\n height,\n });\n chartRef.current = chart;\n seriesRef.current.candle = chart.addCandlestickSeries({\n upColor:'#1fd65c',downColor:'#f04872',borderUpColor:'#1fd65c',borderDownColor:'#f04872',\n wickUpColor:'#1fd65c',wickDownColor:'#f04872',\n });\n seriesRef.current.vol = chart.addHistogramSeries({ priceFormat:{type:'volume'}, priceScaleId:'vol' });\n chart.priceScale('vol').applyOptions({ scaleMargins:{top:0.85,bottom:0} });\n seriesRef.current.bbU = chart.addLineSeries({ color:'rgba(138,145,255,0.4)', lineWidth:1, priceScaleId:'right' });\n seriesRef.current.bbM = chart.addLineSeries({ color:'rgba(138,145,255,0.6)', lineWidth:1, lineStyle:2, priceScaleId:'right' });\n seriesRef.current.bbL = chart.addLineSeries({ color:'rgba(138,145,255,0.4)', lineWidth:1, priceScaleId:'right' });\n seriesRef.current.ema = chart.addLineSeries({ color:'rgba(188,255,47,0.85)', lineWidth:1.25, priceScaleId:'right' });\n\n const handleResize = () => chart.applyOptions({ width: containerRef.current.clientWidth });\n window.addEventListener('resize', handleResize);\n return () => { window.removeEventListener('resize', handleResize); chart.remove(); };\n }, []);\n\n React.useEffect(() => {\n const s = seriesRef.current;\n if (!candles || !candles.length || !s.candle) return;\n s.candle.setData(candles);\n s.vol.setData(candles.map(c => ({\n time:c.time, value:c.volume,\n color: c.close>=c.open ? 'rgba(31,214,92,0.15)' : 'rgba(240,72,114,0.15)',\n })));\n // EMA20\n const k = 2/21; let ema = candles[0].close;\n const emaData = candles.map(c => { ema = c.close*k+ema*(1-k); return {time:c.time,value:ema}; });\n s.ema.setData(emaData);\n // BB\n if (ta && ta.bb) {\n s.bbU.setData(ta.bb.upper||[]); s.bbM.setData(ta.bb.middle||[]); s.bbL.setData(ta.bb.lower||[]);\n }\n chartRef.current.timeScale().fitContent();\n }, [candles, ta]);\n\n return \u003cdiv ref={containerRef} style={{width:'100%',borderRadius:4,overflow:'hidden'}}/>;\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// SHARED COMPONENTS\n// ═══════════════════════════════════════════════════════════════════\n\nconst Card = ({ title, right, children, padded=true, className='', accent, shimmerKey }) => {\n const [shimmerActive, setShimmerActive] = React.useState(false);\n const prevKey = React.useRef(shimmerKey);\n React.useEffect(() => {\n if (shimmerKey != null && shimmerKey !== prevKey.current && prevKey.current != null) {\n setShimmerActive(true);\n const t = setTimeout(() => setShimmerActive(false), 1200);\n prevKey.current = shimmerKey;\n return () => clearTimeout(t);\n }\n prevKey.current = shimmerKey;\n }, [shimmerKey]);\n\n return (\n \u003cdiv className={'panel '+className} style={{display:'flex',flexDirection:'column',borderLeft:accent?`2px solid ${accent}`:undefined}}>\n {shimmerActive && \u003cdiv className=\"card-shimmer\"/>}\n {title && (\n \u003cdiv style={{display:'flex',justifyContent:'space-between',alignItems:'center',padding:'10px 14px 8px',borderBottom:'1px solid rgba(255,255,255,0.06)',background:'rgba(255,255,255,0.015)'}}>\n \u003cdiv className=\"overline\">{title}\u003c/div>\n \u003cdiv style={{display:'flex',gap:8,alignItems:'center'}}>{right}\u003c/div>\n \u003c/div>\n )}\n \u003cdiv style={{padding:padded?14:0,flex:1,minHeight:0}}>{children}\u003c/div>\n \u003c/div>\n );\n};\n\nfunction MiniStat({ label, value, tone, bar: barVal }) {\n const col = tone==='profit'?'var(--profit-2)':tone==='loss'?'var(--loss)':'var(--ink-1)';\n return (\n \u003cdiv style={{padding:'0 14px',borderRight:'1px solid rgba(255,255,255,0.06)',display:'flex',flexDirection:'column',gap:3}}>\n \u003cdiv className=\"overline\">{label}\u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:13,fontWeight:500,color:col}}>{value}\u003c/div>\n {barVal!=null && (\n \u003cdiv style={{height:2,background:'rgba(255,255,255,0.06)',borderRadius:1,marginTop:3}}>\n \u003cdiv style={{height:'100%',width:Math.min(100,barVal)+'%',background:col,borderRadius:1}}/>\n \u003c/div>\n )}\n \u003c/div>\n );\n}\n\nfunction StackedRatio({ longPct, shortPct }) {\n const lp = longPct||50, sp = shortPct||(100-lp);\n return (\n \u003cdiv style={{display:'flex',height:20,borderRadius:3,overflow:'hidden'}}>\n \u003cdiv style={{width:lp+'%',background:'#25a750',display:'flex',alignItems:'center',justifyContent:'flex-start',paddingLeft:8,fontSize:10.5,fontWeight:600,color:'#000'}}>\n LONG {lp.toFixed(1)}%\n \u003c/div>\n \u003cdiv style={{width:sp+'%',background:'#ca3f64',display:'flex',alignItems:'center',justifyContent:'flex-end',paddingRight:8,fontSize:10.5,fontWeight:600,color:'#fff'}}>\n SHORT {sp.toFixed(1)}%\n \u003c/div>\n \u003c/div>\n );\n}\n\nfunction SignalBar({ label, score, note }) {\n const pct = Math.abs(score||0);\n const col = score>0?'var(--profit-2)':'var(--loss)';\n return (\n \u003cdiv style={{display:'grid',gridTemplateColumns:'115px 1fr 56px',gap:10,alignItems:'center',padding:'4px 0',fontSize:11}}>\n \u003cdiv style={{color:'var(--ink-2)'}}>{label}\u003c/div>\n \u003cdiv style={{display:'flex',alignItems:'center',gap:8}}>\n \u003cdiv style={{position:'relative',flex:1,height:4,background:'rgba(255,255,255,0.04)',borderRadius:2}}>\n \u003cdiv style={{position:'absolute',left:'50%',top:0,bottom:0,width:1,background:'rgba(255,255,255,0.12)'}}/>\n \u003cdiv style={{\n position:'absolute',\n left:score>0?'50%':`calc(50% - ${pct/2}%)`,\n width:(pct/2)+'%',top:0,bottom:0,background:col,borderRadius:1,\n }}/>\n \u003c/div>\n {note && \u003cdiv className=\"mono\" style={{fontSize:10,color:'var(--ink-3)',width:180,overflow:'hidden',textOverflow:'ellipsis',whiteSpace:'nowrap'}}>{note}\u003c/div>}\n \u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:11,color:col,fontWeight:600,textAlign:'right'}}>\n {fmt.signed(score,0)}\n \u003c/div>\n \u003c/div>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// HERO MODULE\n// ═══════════════════════════════════════════════════════════════════\n\nfunction Hero() {\n const { state, candles, flash, ticker: fastTicker, stateAge, fetchingTicker } = useData();\n if (!state) return null;\n\n const td = state.structure || {};\n const slowTicker = (td.market_structure||{}).ticker_24h || {};\n const deriv = td.derivatives || {};\n const funding = deriv.funding || {};\n const oi = deriv.open_interest || {};\n const macro = state.macro || {};\n const glob = macro.global || {};\n\n // Use fast ticker (3s) for price, fall back to slow ticker (60s)\n const price = (fastTicker && fastTicker.price) || slowTicker.price || 0;\n const change = (fastTicker && fastTicker.change_pct != null) ? fastTicker.change_pct : (slowTicker.price_change_pct || 0);\n const hi24 = (fastTicker && fastTicker.high_24h) || slowTicker.high_24h || price;\n const lo24 = (fastTicker && fastTicker.low_24h) || slowTicker.low_24h || price;\n const rangePos = hi24 !== lo24 ? Math.max(0, Math.min(1, (price-lo24)/(hi24-lo24))) : 0.5;\n\n // Sparkline from candles\n const spark = candles && candles.candles ? candles.candles.slice(-60).map(c=>c.close) : [];\n\n const whole = Math.floor(price).toLocaleString('en-US');\n const frac = price.toFixed(2).split('.')[1] || '00';\n const dir = change >= 0;\n\n // OI in billions\n const oiVal = oi.oi_currency ? '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+fmt.n(oi.oi_currency * price / 1e9, 1)+'B' : oi.oi ? fmt.n(oi.oi,0) : '—';\n const oiDelta = (deriv.oi_history||{}).oi_delta_1d_pct;\n\n return (\n \u003cdiv style={{display:'grid',gridTemplateColumns:'1.5fr 1fr 1fr 1fr 1fr 1fr',gap:0,border:'1px solid rgba(255,255,255,0.10)',borderRadius:12,overflow:'hidden',background:'rgba(255,255,255,0.035)',backdropFilter:'blur(24px) saturate(1.4)',WebkitBackdropFilter:'blur(24px) saturate(1.4)',boxShadow:'0 8px 32px -8px rgba(0,0,0,0.5), inset 0 1px 0 rgba(255,255,255,0.07)'}}>\n {/* Price block */}\n \u003cdiv style={{padding:'18px 22px',borderRight:'1px solid rgba(255,255,255,0.07)',display:'flex',flexDirection:'column',gap:6}}>\n \u003cdiv style={{display:'flex',alignItems:'center',gap:10}}>\n \u003cdiv style={{width:26,height:26,borderRadius:'50%',background:'#f7931a',color:'#000',display:'flex',alignItems:'center',justifyContent:'center',fontWeight:700,fontSize:16}}>₿\u003c/div>\n \u003cdiv style={{fontSize:14,fontWeight:600,letterSpacing:'0.02em'}}>{state.token} / USD\u003c/div>\n \u003cdiv className=\"chip\" style={{background:'rgba(255,255,255,0.06)',color:'var(--ink-2)'}}>PERP · SPOT AGG\u003c/div>\n \u003cdiv style={{display:'flex',alignItems:'center',gap:5,marginLeft:'auto'}}>\n \u003cspan className={fetchingTicker ? 'live-dot live-dot-fetching' : 'live-dot'}/>\n \u003cspan style={{fontSize:10,color:fetchingTicker?'var(--lime)':'var(--ink-3)',letterSpacing:'0.08em',transition:'color 0.2s'}}>{fetchingTicker ? 'SYNC' : 'LIVE'}\u003c/span>\n {fastTicker && \u003cspan className=\"mono\" style={{fontSize:9,color:'var(--ink-4)',marginLeft:4}}>{fastTicker.age_ms != null ? Math.round(fastTicker.age_ms/1000)+'s' : ''}\u003c/span>}\n \u003c/div>\n \u003c/div>\n \u003cdiv style={{display:'flex',alignItems:'flex-end',gap:12}}>\n \u003cdiv className={`mono ${flash}`} style={{fontSize:52,fontWeight:300,letterSpacing:'-0.02em',lineHeight:1,color:dir?'var(--profit-2)':'var(--loss)',borderRadius:3,padding:'0 4px',transition:'color 0.2s'}}>\n {whole}\u003cspan style={{color:'var(--ink-3)',fontWeight:200}}>.{frac}\u003c/span>\n \u003cspan className=\"cursor-blink\" style={{display:'inline-block',width:3,height:36,background:dir?'var(--profit-2)':'var(--loss)',marginLeft:6,verticalAlign:'middle'}}/>\n \u003c/div>\n \u003cdiv style={{display:'flex',flexDirection:'column',gap:4,paddingBottom:4}}>\n \u003cdiv className=\"mono\" style={{fontSize:13,color:dir?'var(--profit-2)':'var(--loss)',fontWeight:600}}>\n {change>=0?'+':''}{change.toFixed(2)}%\n \u003c/div>\n \u003c/div>\n \u003c/div>\n \u003cdiv style={{display:'flex',gap:18,marginTop:4}}>\n \u003cdiv>\u003cdiv style={{fontSize:9.5,color:'var(--ink-3)',letterSpacing:'0.1em'}}>24H HIGH\u003c/div>\u003cdiv className=\"mono\" style={{fontSize:13,fontWeight:500}}>{fmt.n(hi24,0)}\u003c/div>\u003c/div>\n \u003cdiv>\u003cdiv style={{fontSize:9.5,color:'var(--ink-3)',letterSpacing:'0.1em'}}>24H LOW\u003c/div>\u003cdiv className=\"mono\" style={{fontSize:13,fontWeight:500}}>{fmt.n(lo24,0)}\u003c/div>\u003c/div>\n \u003cdiv style={{flex:1,maxWidth:180}}>\n \u003cdiv style={{fontSize:9.5,color:'var(--ink-3)',letterSpacing:'0.1em',marginBottom:4}}>RANGE POSITION\u003c/div>\n \u003cdiv style={{height:6,background:'rgba(255,255,255,0.06)',borderRadius:3,position:'relative'}}>\n \u003cdiv style={{position:'absolute',left:0,right:0,top:0,bottom:0,borderRadius:3,background:'linear-gradient(90deg,rgba(240,72,114,0.6),rgba(125,125,125,0.4),rgba(37,167,80,0.6))'}}/>\n \u003cdiv style={{position:'absolute',left:`calc(${rangePos*100}% - 1px)`,top:-2,bottom:-2,width:2,background:'#fff'}}/>\n \u003c/div>\n \u003c/div>\n \u003c/div>\n \u003c/div>\n\n {/* Sparkline */}\n \u003cdiv style={{padding:'14px 18px',borderRight:'1px solid rgba(255,255,255,0.07)',display:'flex',flexDirection:'column',justifyContent:'space-between'}}>\n \u003cdiv>\u003cdiv className=\"overline\">24H PRICE\u003c/div>\u003cdiv className=\"mono\" style={{fontSize:14,fontWeight:500,marginTop:2,color:dir?'var(--profit-2)':'var(--loss)'}}>{change>=0?'+':''}{change.toFixed(2)}%\u003c/div>\u003c/div>\n \u003cSparkline points={spark} width={180} height={40} color={dir?'#1fd65c':'#f04872'}/>\n \u003cdiv className=\"mono\" style={{fontSize:10,color:'var(--ink-3)'}}>σ {((td.market_structure||{}).realized_vol||{}).realized_vol_annualized_pct ? ((td.market_structure.realized_vol.realized_vol_annualized_pct/Math.sqrt(365)).toFixed(2)+'%') : '—'}\u003c/div>\n \u003c/div>\n\n \u003cStatBlock label=\"24H VOLUME\" value={fmt.compact((fastTicker && fastTicker.volume_24h) || slowTicker.volume_24h_quote)} sub={glob.market_cap_change_24h_pct != null ? (glob.market_cap_change_24h_pct>=0?'+':'')+glob.market_cap_change_24h_pct.toFixed(1)+'% mkt' : ''} accent=\"neutral\"/>\n \u003cStatBlock label=\"MARKET CAP\" value={fmt.compact(glob.total_market_cap_usd)} sub={glob.btc_dominance ? 'Dominance '+glob.btc_dominance+'%' : ''} accent=\"neutral\"/>\n \u003cStatBlock label=\"PERP OPEN INT.\" value={oiVal} sub={oiDelta!=null?(oiDelta>=0?'+':'')+oiDelta.toFixed(1)+'% · 24H':''} accent={oiDelta>0?'profit':oiDelta\u003c0?'loss':'neutral'}/>\n \u003cStatBlock label=\"AGG FUNDING\" value={funding.rate_pct!=null?(funding.rate_pct>=0?'+':'')+funding.rate_pct.toFixed(4)+'%':'—'} sub={funding.rate_annualized_pct!=null?'annualized '+(funding.rate_annualized_pct>=0?'+':'')+funding.rate_annualized_pct.toFixed(1)+'%':''} accent={funding.rate_pct>0.01?'loss':funding.rate_pct\u003c0?'profit':'neutral'} last/>\n \u003c/div>\n );\n}\n\nfunction StatBlock({ label, value, sub, accent, last }) {\n const col = accent==='profit'?'var(--profit-2)':accent==='loss'?'var(--loss)':'var(--ink-1)';\n return (\n \u003cdiv style={{padding:'14px 18px',borderRight:last?0:'1px solid rgba(255,255,255,0.07)',display:'flex',flexDirection:'column',justifyContent:'center',gap:4}}>\n \u003cdiv className=\"overline\">{label}\u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:20,fontWeight:500,color:col}}>{value}\u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:10.5,color:'var(--ink-3)'}}>{sub}\u003c/div>\n \u003c/div>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// PRICE MODULE (Lightweight Charts + TA stats)\n// ═══════════════════════════════════════════════════════════════════\n\nfunction PriceModule() {\n const { candles, bar, setBar, token, candleAge, candleShimmer } = useData();\n const bars = ['5m','15m','1H','4H','1D'];\n const candleData = candles?.candles || [];\n const ta = candles?.ta || {};\n\n // Compute mini stats from TA\n const rsiVal = ta.rsi?.length ? ta.rsi[ta.rsi.length-1].value : null;\n const macdHist = ta.macd?.histogram?.length ? ta.macd.histogram[ta.macd.histogram.length-1].value : null;\n const macdVal = ta.macd?.macd?.length ? ta.macd.macd[ta.macd.macd.length-1].value : null;\n\n // ATR from last 14 candles\n let atr = null;\n if (candleData.length >= 15) {\n const last14 = candleData.slice(-14);\n atr = last14.reduce((sum,c) => sum + (c.high-c.low), 0) / 14;\n }\n\n // BB Width\n let bbWidth = null;\n if (ta.bb?.upper?.length && ta.bb?.lower?.length && ta.bb?.middle?.length) {\n const lastU = ta.bb.upper[ta.bb.upper.length-1].value;\n const lastL = ta.bb.lower[ta.bb.lower.length-1].value;\n const lastM = ta.bb.middle[ta.bb.middle.length-1].value;\n if (lastM) bbWidth = ((lastU-lastL)/lastM*100);\n }\n\n return (\n \u003cCard\n title={\u003cspan>{token} / USD · CANDLES \u003cspan className=\"card-live-dot\" style={{marginLeft:6,verticalAlign:'middle'}}/>{candleAge>0 && \u003cspan className={`data-age${candleAge>45?' data-age-stale':''}`} style={{marginLeft:8}}>{candleAge}s\u003c/span>}\u003c/span>}\n shimmerKey={candleShimmer}\n right={\n \u003cdiv style={{display:'flex',gap:2,background:'rgba(255,255,255,0.04)',borderRadius:4,padding:2}}>\n {bars.map(b => (\n \u003cbutton key={b} onClick={()=>setBar(b)} style={{\n padding:'4px 10px',fontSize:11,fontWeight:500,fontFamily:'inherit',\n background:bar===b?'rgba(255,255,255,0.10)':'transparent',\n color:bar===b?'var(--ink-1)':'var(--ink-3)',\n border:0,borderRadius:3,cursor:'pointer'\n }}>{b}\u003c/button>\n ))}\n \u003cdiv style={{width:1,background:'var(--hair)',margin:'2px 4px'}}/>\n {['EMA20','BB'].map((x,i) => (\n \u003cbutton key={x} style={{\n padding:'4px 8px',fontSize:11,fontWeight:500,fontFamily:'inherit',\n background:'rgba(188,255,47,0.10)',color:'var(--lime)',\n border:0,borderRadius:3,cursor:'pointer'\n }}>{x}\u003c/button>\n ))}\n \u003c/div>\n }\n padded={false}\n >\n \u003cdiv style={{position:'relative',padding:'8px 14px 0'}}>\n \u003cLWChart candles={candleData} ta={ta} height={280}/>\n \u003cdiv className=\"scanline\" style={{left:0}}/>\n \u003c/div>\n \u003cdiv style={{display:'grid',gridTemplateColumns:'repeat(6,1fr)',gap:0,borderTop:'1px solid var(--hair)',padding:'12px 0'}}>\n \u003cMiniStat label=\"RSI 14\" value={rsiVal!=null?rsiVal.toFixed(1):'—'} tone={rsiVal>70?'loss':rsiVal\u003c30?'profit':'neutral'} bar={rsiVal}/>\n \u003cMiniStat label=\"MACD\" value={macdVal!=null?(macdVal>=0?'+':'')+macdVal.toFixed(0):'—'} tone={macdVal>0?'profit':macdVal\u003c0?'loss':'neutral'}/>\n \u003cMiniStat label=\"MACD H\" value={macdHist!=null?(macdHist>=0?'+':'')+macdHist.toFixed(0):'—'} tone={macdHist>0?'profit':macdHist\u003c0?'loss':'neutral'}/>\n \u003cMiniStat label=\"ATR\" value={atr!=null?fmt.usd(atr,0):'—'} tone=\"neutral\"/>\n \u003cMiniStat label=\"BB WIDTH\" value={bbWidth!=null?bbWidth.toFixed(1)+'%':'—'} tone=\"neutral\"/>\n \u003cMiniStat label=\"BAR\" value={bar} tone=\"neutral\"/>\n \u003c/div>\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// REGIME MODULE\n// ═══════════════════════════════════════════════════════════════════\n\nfunction RegimeModule() {\n const { state, stateShimmer } = useData();\n const comp = state?.composite || {};\n const score = comp.score || 0;\n const label = comp.label || 'NO DATA';\n const signals = comp.signals || [];\n const vcol = label.includes('BULL')?'var(--profit-2)':label.includes('BEAR')?'var(--loss)':'var(--amber)';\n\n // Map signal names to notes based on score\n const noteFor = (s) => {\n if (s.name==='Funding Rate') return s.value>0?'shorts paying premium':'longs paying premium';\n if (s.name==='RSI') return s.value>0?'oversold zone':'overbought zone';\n if (s.name==='MACD') return s.value>0?'histogram positive':'histogram negative';\n if (s.name==='Fear & Greed') return s.value>0?'contrarian: fear':'contrarian: greed';\n return s.value>0?'bullish signal':'bearish signal';\n };\n\n return (\n \u003cCard title=\"REGIME · COMPOSITE SIGNAL\" accent=\"var(--lime)\" shimmerKey={stateShimmer}>\n \u003cdiv style={{display:'flex',alignItems:'center',gap:14,marginBottom:8}}>\n \u003cdiv className=\"wobble\">\n \u003cRegimeGauge score={score} width={200} height={110}/>\n \u003c/div>\n \u003cdiv style={{flex:1}}>\n \u003cdiv style={{fontSize:10,color:'var(--ink-3)',letterSpacing:'0.1em'}}>READ\u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:22,fontWeight:500,color:vcol,lineHeight:1.1}}>{label}\u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:11,color:'var(--ink-3)',marginTop:4}}>score {fmt.signed(score,1)} · {signals.length} inputs\u003c/div>\n \u003c/div>\n \u003c/div>\n \u003cdiv style={{display:'flex',flexDirection:'column',gap:2}}>\n {signals.map((s,i) => (\n \u003cSignalBar key={i} label={s.name} score={s.value} note={noteFor(s)}/>\n ))}\n \u003c/div>\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// DERIVATIVES MODULE\n// ═══════════════════════════════════════════════════════════════════\n\nfunction DerivsModule() {\n const { state, ticker: fastTicker, stateAge, stateShimmer } = useData();\n const deriv = (state?.structure||{}).derivatives || {};\n const funding = deriv.funding || {};\n const fh = deriv.funding_history || {};\n const oi = deriv.open_interest || {};\n const oih = deriv.oi_history || {};\n const basis = deriv.basis || {};\n const slowTicker = ((state?.structure||{}).market_structure||{}).ticker_24h||{};\n const price = (fastTicker && fastTicker.price) || slowTicker.price || 0;\n\n const oiStr = oi.oi_currency ? fmt.n(oi.oi_currency,2)+' coin' : '';\n const oiUsd = oi.oi_currency ? '

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+fmt.n(oi.oi_currency*price/1e9,1)+'B' : oi.oi ? fmt.n(oi.oi,0) : '—';\n\n // Funding countdown (approximate next 8h)\n const now = new Date();\n const nextFunding = new Date(now);\n const h = now.getUTCHours();\n const nextH = h \u003c 8 ? 8 : h \u003c 16 ? 16 : 24;\n nextFunding.setUTCHours(nextH===24?0:nextH, 0, 0, 0);\n if (nextH === 24) nextFunding.setUTCDate(nextFunding.getUTCDate()+1);\n const diff = Math.max(0, Math.floor((nextFunding - now) / 1000));\n const [countdown, setCountdown] = React.useState(diff);\n React.useEffect(() => {\n const iv = setInterval(() => setCountdown(v => Math.max(0, v-1)), 1000);\n return () => clearInterval(iv);\n }, []);\n const hh = String(Math.floor(countdown/3600)).padStart(2,'0');\n const mm = String(Math.floor((countdown%3600)/60)).padStart(2,'0');\n const ss = String(countdown%60).padStart(2,'0');\n const pct = 1 - countdown / (8*3600);\n\n return (\n \u003cCard title={\u003cspan>DERIVATIVES · OPEN INTEREST & FUNDING \u003cspan className=\"card-live-dot\" style={{marginLeft:6,verticalAlign:'middle'}}/>{stateAge>0 && \u003cspan className={`data-age${stateAge>90?' data-age-stale':''}`} style={{marginLeft:8}}>{stateAge}s\u003c/span>}\u003c/span>} shimmerKey={stateShimmer}>\n \u003cdiv style={{display:'flex',justifyContent:'space-between',alignItems:'baseline',marginBottom:6}}>\n \u003cdiv className=\"mono\" style={{fontSize:24,fontWeight:500}}>\n {oiUsd}\n {oih.oi_delta_1d_pct!=null && \u003cspan className=\"mono\" style={{fontSize:12,color:oih.oi_delta_1d_pct>=0?'var(--profit-2)':'var(--loss)',marginLeft:8}}>{oih.oi_delta_1d_pct>=0?'+':''}{oih.oi_delta_1d_pct.toFixed(1)}%\u003c/span>}\n \u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:10,color:'var(--ink-3)'}}>{oiStr}\u003c/div>\n \u003c/div>\n\n {/* Funding section */}\n \u003cdiv style={{borderTop:'1px solid var(--hair)',marginTop:10,paddingTop:10}}>\n \u003cdiv style={{display:'flex',justifyContent:'space-between',alignItems:'baseline'}}>\n \u003cdiv className=\"overline\">FUNDING · HISTORY\u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:10,color:'var(--ink-3)'}}>next in \u003cspan style={{color:'var(--lime)'}}>{hh}:{mm}:{ss}\u003c/span>\u003c/div>\n \u003c/div>\n {fh.rates && fh.rates.length > 0 && (\n \u003cFundingHistogram data={[...fh.rates].reverse()} width={460} height={52}/>\n )}\n \u003cdiv className=\"stripes\" style={{height:3,marginTop:4,background:'rgba(188,255,47,0.10)',borderRadius:2,position:'relative',overflow:'hidden'}}>\n \u003cdiv style={{position:'absolute',left:0,top:0,bottom:0,width:(pct*100)+'%',background:'var(--lime)',opacity:0.7}}/>\n \u003c/div>\n \u003cdiv style={{display:'grid',gridTemplateColumns:'repeat(3,1fr)',gap:0,marginTop:6}}>\n \u003cMiniStat label=\"CURRENT\" value={funding.rate_pct!=null?(funding.rate_pct>=0?'+':'')+funding.rate_pct.toFixed(4)+'%':'—'} tone={funding.rate_pct>0.01?'loss':funding.rate_pct\u003c0?'profit':'neutral'}/>\n \u003cMiniStat label=\"TREND\" value={fh.trend||'—'} tone={fh.trend==='decreasing'?'profit':fh.trend==='increasing'?'loss':'neutral'}/>\n \u003cMiniStat label=\"BASIS\" value={basis.basis_pct!=null?basis.basis_pct.toFixed(4)+'%':'—'} tone={basis.basis_pct>0?'profit':basis.basis_pct\u003c0?'loss':'neutral'}/>\n \u003c/div>\n \u003c/div>\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// LIQUIDATION MODULE\n// ═══════════════════════════════════════════════════════════════════\n\nfunction LiquidationModule() {\n const { state } = useData();\n const liq = ((state?.structure||{}).market_structure||{}).liquidations || {};\n\n const longPct = liq.long_pct || 50;\n const shortPct = 100 - longPct;\n const bias = liq.bias || 'unknown';\n const biasCol = bias.includes('longs')?'var(--loss)':bias.includes('shorts')?'var(--profit-2)':'var(--amber)';\n\n return (\n \u003cCard title=\"LIQUIDATION PRESSURE\">\n \u003cdiv style={{display:'grid',gridTemplateColumns:'1fr 1fr',gap:12,marginBottom:8}}>\n \u003cdiv>\n \u003cdiv className=\"overline\">LONGS\u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:17,fontWeight:500,color:'var(--loss)'}}>{longPct.toFixed(1)}%\u003c/div>\n \u003c/div>\n \u003cdiv style={{textAlign:'right'}}>\n \u003cdiv className=\"overline\">SHORTS\u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:17,fontWeight:500,color:'var(--profit-2)'}}>{shortPct.toFixed(1)}%\u003c/div>\n \u003c/div>\n \u003c/div>\n\n \u003cStackedRatio longPct={longPct} shortPct={shortPct}/>\n\n \u003cdiv style={{marginTop:12,display:'flex',flexDirection:'column',gap:0}}>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">Pressure\u003c/span>\u003cspan className=\"v\">{liq.pressure||'—'}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">L/S Ratio\u003c/span>\u003cspan className=\"v mono\">{liq.latest_ls_ratio!=null?liq.latest_ls_ratio.toFixed(4):'—'}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">12h Avg\u003c/span>\u003cspan className=\"v mono\">{liq.avg_ls_ratio_12h!=null?liq.avg_ls_ratio_12h.toFixed(4):'—'}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">12h Swing\u003c/span>\u003cspan className=\"v mono\" style={{color:liq.ratio_swing_12h>0.1?'var(--loss)':'var(--ink-1)'}}>{liq.ratio_swing_12h!=null?liq.ratio_swing_12h.toFixed(4):'—'}\u003c/span>\u003c/div>\n \u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:10,color:biasCol,marginTop:8,textAlign:'center'}}>bias: {bias}\u003c/div>\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// OPTIONS MODULE\n// ═══════════════════════════════════════════════════════════════════\n\nfunction OptionsModule() {\n const { state } = useData();\n const deriv = (state?.structure||{}).derivatives || {};\n const skew = deriv.skew || {};\n const opts = deriv.options || {};\n\n const skewPct = skew.skew_25d != null ? Math.min(100, Math.max(0, (skew.skew_25d+15)/30*100)) : 50;\n\n return (\n \u003cCard title=\"OPTIONS · IV & GREEKS\">\n \u003cdiv style={{display:'grid',gridTemplateColumns:'repeat(4,1fr)',gap:0,borderBottom:'1px solid var(--hair)',paddingBottom:10,marginBottom:10}}>\n \u003cMiniStat label=\"ATM IV\" value={skew.atm_iv!=null?skew.atm_iv.toFixed(1)+'%':'—'} tone=\"neutral\"/>\n \u003cMiniStat label=\"25Δ RR\" value={skew.skew_25d!=null?(skew.skew_25d>=0?'+':'')+skew.skew_25d.toFixed(2)+'%':'—'} tone={skew.skew_25d\u003c-2?'profit':skew.skew_25d>2?'loss':'neutral'}/>\n \u003cMiniStat label=\"P/C RATIO\" value={opts.put_call_ratio!=null?opts.put_call_ratio.toFixed(3):'—'} tone={opts.put_call_ratio\u003c0.7?'loss':opts.put_call_ratio>1.2?'profit':'neutral'}/>\n \u003cMiniStat label=\"BUTTERFLY\" value={skew.butterfly!=null?skew.butterfly.toFixed(2)+'%':'—'} tone=\"neutral\"/>\n \u003c/div>\n\n {/* Skew meter */}\n {skew.skew_25d!=null && (\n \u003cdiv style={{marginBottom:12}}>\n \u003cdiv style={{width:'100%',height:6,background:'linear-gradient(to right,var(--profit),var(--amber),var(--loss))',borderRadius:3,position:'relative'}}>\n \u003cdiv style={{position:'absolute',top:-4,width:3,height:14,background:'white',borderRadius:2,transform:'translateX(-50%)',left:skewPct+'%'}}/>\n \u003c/div>\n \u003cdiv style={{display:'flex',justifyContent:'space-between',fontSize:9,color:'var(--ink-3)',marginTop:2}}>\n \u003cspan>Bullish\u003c/span>\u003cspan>Neutral\u003c/span>\u003cspan>Bearish\u003c/span>\n \u003c/div>\n \u003c/div>\n )}\n\n {skew.signal && (\n \u003cdiv className=\"mono\" style={{fontSize:10,color:skew.signal.includes('bearish')?'var(--loss)':skew.signal.includes('bullish')?'var(--profit-2)':'var(--amber)',textAlign:'center',marginBottom:8}}>\n {skew.signal}\n \u003c/div>\n )}\n\n \u003cdiv style={{display:'flex',flexDirection:'column',gap:0}}>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">Put 25d IV\u003c/span>\u003cspan className=\"v mono\">{skew.put_25d_iv!=null?skew.put_25d_iv.toFixed(2)+'%':'—'}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">Call 25d IV\u003c/span>\u003cspan className=\"v mono\">{skew.call_25d_iv!=null?skew.call_25d_iv.toFixed(2)+'%':'—'}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">Max Pain\u003c/span>\u003cspan className=\"v mono\">{opts.max_pain!=null?'

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+fmt.n(opts.max_pain,0):'—'}\u003c/span>\u003c/div>\n \u003c/div>\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// FLOW MODULE (Long/Short + Taker)\n// ═══════════════════════════════════════════════════════════════════\n\nfunction FlowModule() {\n const { state } = useData();\n const ms = (state?.structure||{}).market_structure || {};\n const ls = ms.long_short || {};\n const tv = ms.taker_volume || {};\n\n const longR = ls.long_ratio != null ? ls.long_ratio * 100 : null;\n const shortR = longR != null ? 100 - longR : null;\n const takerR = tv.buy_sell_ratio || ls.taker_buy_sell_ratio;\n\n return (\n \u003cCard title=\"ORDER FLOW · L/S & TAKER\">\n \u003cdiv style={{display:'flex',justifyContent:'space-between',alignItems:'baseline',marginBottom:8}}>\n \u003cdiv className=\"overline\">LONG / SHORT RATIO · TOP TRADERS\u003c/div>\n \u003c/div>\n {longR!=null && \u003cStackedRatio longPct={longR} shortPct={shortR}/>}\n \u003cdiv style={{display:'grid',gridTemplateColumns:'repeat(3,1fr)',gap:0,marginTop:10,borderTop:'1px solid var(--hair)',paddingTop:10}}>\n \u003cMiniStat label=\"GLOBAL L/S\" value={ls.global_long_ratio!=null?(ls.global_long_ratio*100).toFixed(1)+'%':'—'} tone={ls.global_long_ratio>0.5?'profit':'loss'}/>\n \u003cMiniStat label=\"TOP TRADER\" value={ls.top_long_ratio!=null?(ls.top_long_ratio*100).toFixed(1)+'%':'—'} tone={ls.top_long_ratio>0.5?'profit':'loss'}/>\n \u003cMiniStat label=\"TAKER B/S\" value={takerR!=null?takerR.toFixed(3):'—'} tone={takerR>1?'profit':takerR\u003c1?'loss':'neutral'}/>\n \u003c/div>\n {/* Realized vol */}\n \u003cdiv style={{borderTop:'1px solid var(--hair)',marginTop:10,paddingTop:10}}>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">Realized Vol (24h)\u003c/span>\u003cspan className=\"v mono\">{(ms.realized_vol||{}).realized_vol_annualized_pct!=null?ms.realized_vol.realized_vol_annualized_pct.toFixed(1)+'%':'—'}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">24h Volume\u003c/span>\u003cspan className=\"v mono\">{fmt.compact((ms.ticker_24h||{}).volume_24h_quote)}\u003c/span>\u003c/div>\n \u003c/div>\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// GAMMA WALL MODULE\n// ═══════════════════════════════════════════════════════════════════\n\nfunction GammaWallModule() {\n const { state } = useData();\n const gw = ((state?.structure||{}).derivatives||{}).gamma_wall || {};\n\n const wtCol = gw.wall_type?.includes('support') ? 'var(--profit-2)' : 'var(--loss)';\n\n return (\n \u003cCard title=\"GAMMA WALL\">\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">Wall Strike\u003c/span>\u003cspan className=\"v mono\" style={{fontSize:15,fontWeight:600}}>{gw.gamma_wall_strike!=null?'

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+fmt.n(gw.gamma_wall_strike,0):'—'}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">Wall Type\u003c/span>\u003cspan className=\"v\" style={{color:wtCol}}>{gw.wall_type||'—'}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">Exposure\u003c/span>\u003cspan className=\"v mono\">{gw.gamma_wall_exposure!=null?fmt.n(gw.gamma_wall_exposure,0):'—'}\u003c/span>\u003c/div>\n {gw.top_strikes && gw.top_strikes.length > 0 && (\n \u003c>\n \u003cdiv style={{fontSize:10,color:'var(--ink-3)',marginTop:10}}>Top Strikes by Gamma Exposure\u003c/div>\n \u003cGammaChart strikes={gw.top_strikes} wallStrike={gw.gamma_wall_strike}/>\n \u003c/>\n )}\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// ON-CHAIN MODULE (MVRV)\n// ═══════════════════════════════════════════════════════════════════\n\nfunction OnchainModule() {\n const { state } = useData();\n const onchain = (state?.structure||{}).on_chain || {};\n const mvrv = onchain.mvrv || {};\n\n const zone = mvrv.zone || '';\n let zoneCol = 'var(--amber)', zoneBg = 'rgba(255,177,23,0.15)';\n if (zone.includes('overheated')) { zoneCol='var(--loss)'; zoneBg='rgba(240,72,114,0.15)'; }\n else if (zone.includes('undervalued')||zone.includes('accumulation')) { zoneCol='var(--profit-2)'; zoneBg='rgba(31,214,92,0.15)'; }\n else if (zone.includes('underwater')) { zoneCol='var(--blue)'; zoneBg='rgba(48,119,255,0.15)'; }\n\n return (\n \u003cCard title=\"ON-CHAIN · MVRV\">\n \u003cdiv style={{textAlign:'center',padding:'8px 0'}}>\n \u003cdiv className=\"mono\" style={{fontSize:32,fontWeight:500}}>{mvrv.mvrv!=null?mvrv.mvrv.toFixed(3):'—'}\u003c/div>\n {zone && \u003cdiv style={{display:'inline-block',padding:'3px 10px',borderRadius:4,fontSize:12,fontWeight:700,marginTop:6,background:zoneBg,color:zoneCol}}>{zone}\u003c/div>}\n \u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">Realized Price\u003c/span>\u003cspan className=\"v mono\">{mvrv.realized_price!=null?'

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+fmt.n(mvrv.realized_price,0):'—'}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">30d Range\u003c/span>\u003cspan className=\"v mono\">{mvrv.mvrv_30d_low!=null&&mvrv.mvrv_30d_high!=null?mvrv.mvrv_30d_low.toFixed(3)+' — '+mvrv.mvrv_30d_high.toFixed(3):'—'}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">30d Average\u003c/span>\u003cspan className=\"v mono\">{mvrv.mvrv_30d_avg!=null?mvrv.mvrv_30d_avg.toFixed(3):'—'}\u003c/span>\u003c/div>\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// SENTIMENT MODULE\n// ═══════════════════════════════════════════════════════════════════\n\nfunction SentimentModule() {\n const { state } = useData();\n const macro = state?.macro || {};\n const fng = macro.fear_greed || {};\n const glob = macro.global || {};\n const stable = macro.stablecoins || {};\n\n const val = fng.value || 0;\n const cls = fng.classification || 'Fear & Greed';\n const fngCol = val\u003c25?'var(--loss)':val\u003c50?'var(--amber)':val\u003c75?'var(--lime)':'var(--profit-2)';\n\n return (\n \u003cCard title=\"SENTIMENT · MACRO COMPOSITE\">\n \u003cdiv style={{display:'flex',alignItems:'center',gap:14}}>\n \u003cGreedGauge value={val}/>\n \u003cdiv style={{flex:1}}>\n \u003cdiv className=\"overline\">FEAR & GREED\u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:28,fontWeight:400,lineHeight:1}}>{val||'—'}\u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:12,color:fngCol,fontWeight:500,marginTop:2}}>{cls}\u003c/div>\n {fng.trend_7d && \u003cdiv className=\"mono\" style={{fontSize:10,color:'var(--ink-3)',marginTop:4}}>7d trend: {fng.trend_7d}\u003c/div>}\n \u003c/div>\n \u003c/div>\n \u003cdiv style={{borderTop:'1px solid var(--hair)',marginTop:10,paddingTop:8,display:'flex',flexDirection:'column',gap:0}}>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">BTC Dominance\u003c/span>\u003cspan className=\"v mono\">{glob.btc_dominance||'—'}%\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">Total Market Cap\u003c/span>\u003cspan className=\"v mono\">{fmt.compact(glob.total_market_cap_usd)}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">MCap Δ 24h\u003c/span>\u003cspan className=\"v mono\" style={{color:glob.market_cap_change_24h_pct>=0?'var(--profit-2)':'var(--loss)'}}>{glob.market_cap_change_24h_pct!=null?(glob.market_cap_change_24h_pct>=0?'+':'')+glob.market_cap_change_24h_pct.toFixed(2)+'%':'—'}\u003c/span>\u003c/div>\n \u003cdiv className=\"kv\">\u003cspan className=\"k\">Stablecoin Supply\u003c/span>\u003cspan className=\"v mono\">{fmt.compact(stable.total_stablecoin_mcap)}\u003c/span>\u003c/div>\n \u003c/div>\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// SMART MONEY FLOW MODULE (OnchainOS)\n// ═══════════════════════════════════════════════════════════════════\n\nfunction SmartMoneyModule() {\n const { state } = useData();\n const sm = state?.macro?.smart_money || {};\n\n if (sm.status !== 'available') {\n return (\n \u003cCard title=\"SMART MONEY · ON-CHAIN\">\n \u003cdiv style={{textAlign:'center',color:'var(--ink-4)',fontSize:11,padding:20}}>Loading on-chain signals...\u003c/div>\n \u003c/Card>\n );\n }\n\n const buyPct = sm.buy_pct || 50;\n const sentCol = buyPct>55?'var(--profit-2)':buyPct\u003c45?'var(--loss)':'var(--amber)';\n const signals = sm.top_signals || [];\n\n return (\n \u003cCard title=\"SMART MONEY · ON-CHAIN\" accent=\"var(--violet)\">\n \u003cdiv style={{display:'flex',alignItems:'center',gap:14,marginBottom:8}}>\n {/* Flow bar */}\n \u003cdiv style={{flex:1}}>\n \u003cdiv style={{display:'flex',justifyContent:'space-between',fontSize:10,color:'var(--ink-3)',marginBottom:3}}>\n \u003cspan>SELL {(100-buyPct).toFixed(0)}%\u003c/span>\n \u003cspan style={{color:sentCol,fontWeight:600}}>{sm.sentiment?.toUpperCase()}\u003c/span>\n \u003cspan>BUY {buyPct.toFixed(0)}%\u003c/span>\n \u003c/div>\n \u003cdiv style={{height:8,borderRadius:4,background:'var(--loss)',overflow:'hidden'}}>\n \u003cdiv style={{height:'100%',width:buyPct+'%',background:'var(--profit-2)',borderRadius:4,transition:'width 0.4s ease'}}/>\n \u003c/div>\n \u003cdiv style={{display:'flex',justifyContent:'space-between',fontSize:10,color:'var(--ink-4)',marginTop:3}}>\n \u003cspan className=\"mono\">${fmt.compact(sm.sell_volume_usd)}\u003c/span>\n \u003cspan className=\"mono\">net: \u003cspan style={{color:sm.net_flow_usd>=0?'var(--profit-2)':'var(--loss)'}}>{sm.net_flow_usd>=0?'+':''}{fmt.compact(sm.net_flow_usd)}\u003c/span>\u003c/span>\n \u003cspan className=\"mono\">${fmt.compact(sm.buy_volume_usd)}\u003c/span>\n \u003c/div>\n \u003c/div>\n \u003c/div>\n \u003cdiv style={{display:'flex',gap:8,fontSize:10,color:'var(--ink-3)',marginBottom:6}}>\n \u003cspan>{sm.total_signals} signals\u003c/span>\n \u003cspan>·\u003c/span>\n \u003cspan>{sm.buy_count} buys / {sm.sell_count} sells\u003c/span>\n \u003cspan>·\u003c/span>\n \u003cspan>{(sm.chains_scanned||[]).join(', ')}\u003c/span>\n \u003c/div>\n {signals.length > 0 && (\n \u003cdiv style={{borderTop:'1px solid var(--hair)',paddingTop:6}}>\n \u003cdiv className=\"overline\" style={{marginBottom:4}}>TOP SIGNALS\u003c/div>\n {signals.map((s,i) => (\n \u003cdiv key={i} style={{display:'flex',alignItems:'center',gap:8,fontSize:11,padding:'3px 0',borderBottom:'1px dashed rgba(255,255,255,0.04)'}}>\n \u003cspan className=\"chip\" style={{\n background:s.action==='buy'?'rgba(31,214,92,0.12)':'rgba(240,72,114,0.12)',\n color:s.action==='buy'?'var(--profit-2)':'var(--loss)',\n fontSize:9,padding:'1px 5px',\n }}>{s.action.toUpperCase()}\u003c/span>\n \u003cspan className=\"mono\" style={{color:'var(--ink-1)',fontWeight:500,minWidth:60}}>{s.symbol}\u003c/span>\n \u003cspan className=\"mono\" style={{color:'var(--ink-3)',fontSize:10}}>${fmt.compact(s.amount_usd)}\u003c/span>\n \u003cspan style={{marginLeft:'auto',fontSize:9,color:'var(--ink-4)'}}>{s.wallet_type==='smart_money'?'SM':'🐋'} ×{s.wallets}\u003c/span>\n \u003cspan className=\"chip\" style={{background:'rgba(255,255,255,0.04)',color:'var(--ink-4)',fontSize:8,padding:'1px 4px'}}>{s.chain}\u003c/span>\n \u003c/div>\n ))}\n \u003c/div>\n )}\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// DEX HOT TOKENS MODULE (OnchainOS)\n// ═══════════════════════════════════════════════════════════════════\n\nfunction DexHotTokensModule() {\n const { state } = useData();\n const ht = state?.macro?.hot_tokens_dex || {};\n\n if (ht.status !== 'available') {\n return (\n \u003cCard title=\"DEX PULSE · ON-CHAIN\">\n \u003cdiv style={{textAlign:'center',color:'var(--ink-4)',fontSize:11,padding:20}}>Loading DEX data...\u003c/div>\n \u003c/Card>\n );\n }\n\n const tokens = (ht.top_tokens || []).slice(0, 8);\n\n return (\n \u003cCard title=\"DEX PULSE · ON-CHAIN\" accent=\"var(--cyan)\">\n \u003cdiv style={{display:'flex',gap:16,marginBottom:8}}>\n \u003cMiniStat label=\"DEX Vol 24h\" value={'

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…

+fmt.compact(ht.total_dex_volume_24h)} />\n \u003cMiniStat label=\"Net Inflow\" value={(ht.net_inflow_usd>=0?'+':'')+fmt.compact(ht.net_inflow_usd)} color={ht.net_inflow_usd>=0?'var(--profit-2)':'var(--loss)'} />\n \u003cMiniStat label=\"Chains\" value={(ht.chains_active||[]).join(' · ')} />\n \u003c/div>\n \u003cdiv style={{borderTop:'1px solid var(--hair)',paddingTop:6}}>\n \u003cdiv className=\"overline\" style={{marginBottom:4}}>TRENDING BY VOLUME\u003c/div>\n \u003cdiv style={{display:'grid',gridTemplateColumns:'1fr 1fr',gap:'2px 16px'}}>\n {tokens.map((t,i) => {\n const chgCol = t.change_24h_pct>0?'var(--profit-2)':t.change_24h_pct\u003c0?'var(--loss)':'var(--ink-3)';\n return (\n \u003cdiv key={i} style={{display:'flex',alignItems:'center',gap:6,fontSize:11,padding:'3px 0',borderBottom:'1px dashed rgba(255,255,255,0.04)'}}>\n \u003cspan style={{color:'var(--ink-4)',fontSize:9,width:12}}>{i+1}\u003c/span>\n \u003cspan className=\"mono\" style={{color:'var(--ink-1)',fontWeight:500,minWidth:50}}>{t.symbol}\u003c/span>\n \u003cspan className=\"chip\" style={{background:'rgba(255,255,255,0.04)',color:'var(--ink-4)',fontSize:8,padding:'1px 4px'}}>{t.chain}\u003c/span>\n \u003cspan style={{marginLeft:'auto',display:'flex',gap:8,alignItems:'center'}}>\n \u003cspan className=\"mono\" style={{color:chgCol,fontSize:10}}>{t.change_24h_pct>0?'+':''}{t.change_24h_pct?.toFixed(1)}%\u003c/span>\n \u003cspan className=\"mono\" style={{color:'var(--ink-3)',fontSize:9}}>${fmt.compact(t.volume_24h)}\u003c/span>\n \u003c/span>\n \u003c/div>\n );\n })}\n \u003c/div>\n \u003c/div>\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// SIGNAL BREAKDOWN MODULE\n// ═══════════════════════════════════════════════════════════════════\n\nfunction SignalBreakdownModule() {\n const { state } = useData();\n const signals = state?.composite?.signals || [];\n if (!signals.length) return null;\n\n return (\n \u003cCard title=\"COMPOSITE SIGNAL BREAKDOWN\" padded={true}>\n \u003cdiv style={{display:'grid',gridTemplateColumns:'1fr 1fr',gap:'4px 24px'}}>\n {signals.map((s,i) => {\n const col = s.value>10?'var(--profit-2)':s.value\u003c-10?'var(--loss)':'var(--amber)';\n return (\n \u003cdiv key={i} style={{display:'flex',justifyContent:'space-between',fontSize:11,padding:'4px 0',borderBottom:'1px dashed rgba(255,255,255,0.04)'}}>\n \u003cspan style={{color:'var(--ink-3)'}}>{s.name} ({s.weight}%)\u003c/span>\n \u003cspan className=\"mono\" style={{color:col,fontWeight:600}}>{s.value>=0?'+':''}{s.value}\u003c/span>\n \u003c/div>\n );\n })}\n \u003c/div>\n \u003c/Card>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// TOP BAR\n// ═══════════════════════════════════════════════════════════════════\n\nfunction TopBar() {\n const { token, setToken, feedCount, latency, state, ticker: fastTicker, fetching } = useData();\n const [now, setNow] = React.useState(() => new Date());\n React.useEffect(() => {\n const t = setInterval(() => setNow(new Date()), 1000);\n return () => clearInterval(t);\n }, []);\n const iso = now.toISOString().replace('T',' · ').slice(0,19)+' UTC';\n const tokens = state?.supported_tokens || ['BTC','ETH','SOL','BNB','DOGE','AVAX','ARB'];\n\n return (\n \u003cdiv style={{\n display:'flex',alignItems:'center',gap:20,padding:'10px 20px',\n borderBottom:'1px solid rgba(255,255,255,0.08)',\n background:'rgba(10,15,25,0.55)',\n backdropFilter:'blur(28px) saturate(1.5)',\n WebkitBackdropFilter:'blur(28px) saturate(1.5)',\n position:'sticky',top:0,zIndex:40,\n boxShadow:'0 4px 30px rgba(0,0,0,0.3), inset 0 -1px 0 rgba(255,255,255,0.04)',\n }}>\n \u003cdiv style={{display:'flex',alignItems:'center',gap:9}}>\n \u003cdiv style={{width:18,height:18,borderRadius:3,background:'var(--lime)',display:'flex',alignItems:'center',justifyContent:'center'}}>\n \u003cdiv style={{width:8,height:8,background:'#000',borderRadius:1}}/>\n \u003c/div>\n \u003cdiv style={{fontSize:13,fontWeight:600,letterSpacing:'0.02em'}}>MARKET ANALYZER\u003c/div>\n \u003cdiv className=\"chip\" style={{background:'rgba(188,255,47,0.12)',color:'var(--lime)'}}>{token} · PRO\u003c/div>\n \u003c/div>\n\n \u003cdiv style={{display:'flex',gap:2,marginLeft:8}}>\n {tokens.slice(0,7).map(t => (\n \u003cbutton key={t} onClick={()=>setToken(t)} style={{\n padding:'6px 12px',fontSize:12,fontWeight:500,fontFamily:'inherit',\n background:token===t?'rgba(188,255,47,0.12)':'transparent',\n color:token===t?'var(--lime)':'var(--ink-3)',\n border:0,borderRadius:4,cursor:'pointer',\n }}>{t}\u003c/button>\n ))}\n \u003c/div>\n\n \u003cdiv style={{marginLeft:'auto',display:'flex',alignItems:'center',gap:14}}>\n \u003cdiv style={{display:'flex',alignItems:'center',gap:6,fontSize:10.5,color:'var(--ink-3)'}}>\n \u003cspan style={{position:'relative',display:'inline-block'}}>\n \u003cspan className={fetching ? 'live-dot live-dot-fetching' : 'live-dot'}/>\n {fetching && \u003cspan className=\"dot-ripple\" key={Date.now()}/>}\n \u003c/span>\n \u003cspan className=\"mono\">{feedCount} feeds · {latency}ms{fastTicker ? ' · tick '+Math.round((fastTicker.age_ms||0)/1000)+'s' : ''}\u003c/span>\n \u003c/div>\n \u003cdiv style={{width:1,height:16,background:'var(--hair-2)'}}/>\n \u003cdiv className=\"mono\" style={{fontSize:11,color:'var(--ink-2)'}}>{iso}\u003c/div>\n \u003c/div>\n \u003c/div>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// DATA FOOTER\n// ═══════════════════════════════════════════════════════════════════\n\nfunction DataFooter() {\n const { state } = useData();\n const td = state?.structure || {};\n const macro = state?.macro || {};\n const deriv = td.derivatives || {};\n const ms = td.market_structure || {};\n const tv = ms.taker_volume || {};\n const ls = ms.long_short || {};\n\n const sources = [\n {name:'OKX CeFi CLI', ok: (ms.ticker_24h||{}).source?.includes('cli')},\n {name:'OKX Funding', ok: (deriv.funding||{}).status==='available'},\n {name:'OKX OI', ok: (deriv.open_interest||{}).status==='available'},\n {name:'OKX Options', ok: (deriv.options||{}).status==='available'},\n {name:'OKX Taker', ok: tv.status==='available'},\n {name:'OKX Gamma Wall', ok: (deriv.gamma_wall||{}).status==='available'},\n {name:'OKX Skew', ok: (deriv.skew||{}).status==='available'},\n {name:'OnchainOS Signals', ok: (macro.smart_money||{}).status==='available'},\n {name:'OnchainOS DEX', ok: (macro.hot_tokens_dex||{}).status==='available'},\n {name:'CoinMetrics MVRV', ok: ((td.on_chain||{}).mvrv||{}).status==='available'},\n {name:'Fear & Greed', ok: (macro.fear_greed||{}).status==='available'},\n {name:'CoinGecko', ok: (macro.global||{}).status==='available'},\n {name:'DefiLlama', ok: (macro.stablecoins||{}).status==='available'},\n ];\n\n return (\n \u003cdiv className=\"panel\" style={{padding:'14px 20px',marginTop:16}}>\n \u003cdiv style={{display:'flex',justifyContent:'space-between',alignItems:'center',gap:20,flexWrap:'wrap'}}>\n \u003cdiv className=\"overline\">DATA SOURCES\u003c/div>\n \u003cdiv style={{display:'flex',gap:14,flexWrap:'wrap'}}>\n {sources.map(s => (\n \u003cdiv key={s.name} style={{display:'flex',alignItems:'center',gap:5,fontSize:10.5,color:'var(--ink-3)'}}>\n \u003cdiv style={{width:5,height:5,borderRadius:'50%',background:s.ok?'var(--profit-2)':s.ok===false?'var(--loss)':'var(--amber)'}}/>\n {s.name}\n \u003c/div>\n ))}\n \u003c/div>\n \u003c/div>\n \u003cdiv style={{marginTop:10,fontSize:10,color:'var(--ink-4)',textAlign:'center'}}>\n Market structure data for informational purposes only. Not financial advice. Auto-refresh: price 3s · candles 30s · structure 60s.\n \u003c/div>\n \u003c/div>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// LOADING STATE\n// ═══════════════════════════════════════════════════════════════════\n\nfunction LoadingScreen() {\n return (\n \u003cdiv style={{display:'flex',flexDirection:'column',alignItems:'center',justifyContent:'center',height:'100vh',gap:16}}>\n \u003cdiv style={{width:32,height:32,borderRadius:6,background:'var(--lime)',display:'flex',alignItems:'center',justifyContent:'center'}}>\n \u003cdiv style={{width:14,height:14,background:'#000',borderRadius:2}}/>\n \u003c/div>\n \u003cdiv style={{fontSize:14,fontWeight:600,letterSpacing:'0.02em'}}>MARKET ANALYZER\u003c/div>\n \u003cdiv className=\"mono\" style={{fontSize:11,color:'var(--ink-3)'}}>Loading market data...\u003c/div>\n \u003cdiv className=\"stripes\" style={{width:200,height:3,borderRadius:2,background:'rgba(188,255,47,0.10)',overflow:'hidden'}}/>\n \u003c/div>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// APP\n// ═══════════════════════════════════════════════════════════════════\n\nfunction FetchIndicator() {\n const { fetching, fetchingTicker, fetchingState, fetchingCandles } = useData();\n if (!fetching) return null;\n const label = fetchingState ? 'structure' : fetchingCandles ? 'candles' : 'price';\n return (\n \u003cdiv className=\"fetch-bar\">\n \u003cdiv className=\"fetch-bar-inner\"/>\n \u003cdiv style={{position:'absolute',right:16,top:5,fontSize:9,color:'var(--ink-3)',letterSpacing:'0.08em',fontFamily:'var(--font)'}}>\n FETCHING {label.toUpperCase()}\n \u003c/div>\n \u003c/div>\n );\n}\n\nfunction App() {\n const { loading } = useData();\n const gap = 12;\n const pad = 16;\n\n if (loading) return \u003cLoadingScreen/>;\n\n return (\n \u003cdiv>\n \u003cFetchIndicator/>\n \u003cTopBar/>\n \u003cdiv style={{padding:pad,maxWidth:1920,margin:'0 auto',display:'flex',flexDirection:'column',gap}}>\n \u003cHero/>\n\n {/* Row 1: Price chart + Regime */}\n \u003cdiv style={{display:'grid',gridTemplateColumns:'2fr 1fr',gap}}>\n \u003cPriceModule/>\n \u003cRegimeModule/>\n \u003c/div>\n\n {/* Row 2: Derivatives + Liquidation + Options */}\n \u003cdiv style={{display:'grid',gridTemplateColumns:'1fr 1fr 1fr',gap}}>\n \u003cDerivsModule/>\n \u003cLiquidationModule/>\n \u003cOptionsModule/>\n \u003c/div>\n\n {/* Row 3: Flow + Gamma Wall + On-chain */}\n \u003cdiv style={{display:'grid',gridTemplateColumns:'1fr 1fr 1fr',gap}}>\n \u003cFlowModule/>\n \u003cGammaWallModule/>\n \u003cOnchainModule/>\n \u003c/div>\n\n {/* Row 4: Smart Money + DEX Pulse (OnchainOS) */}\n \u003cdiv style={{display:'grid',gridTemplateColumns:'1fr 1fr',gap}}>\n \u003cSmartMoneyModule/>\n \u003cDexHotTokensModule/>\n \u003c/div>\n\n {/* Row 5: Sentiment + Signal Breakdown */}\n \u003cdiv style={{display:'grid',gridTemplateColumns:'1fr 2fr',gap}}>\n \u003cSentimentModule/>\n \u003cSignalBreakdownModule/>\n \u003c/div>\n\n \u003cDataFooter/>\n \u003c/div>\n \u003c/div>\n );\n}\n\n// ═══════════════════════════════════════════════════════════════════\n// RENDER\n// ═══════════════════════════════════════════════════════════════════\n\nReactDOM.createRoot(document.getElementById('root')).render(\n \u003cDataProvider>\u003cApp/>\u003c/DataProvider>\n);\n\u003c/script>\n\u003c/body>\n\u003c/html>\n","content_type":"text/html; charset=utf-8","language":"markup","size":78395,"content_sha256":"dbccb9a500796dbce44b2a310208408cf971dd8f3660f6faa3e171c94134bc4b"},{"filename":"msa_server.py","content":"#!/usr/bin/env python3\n\"\"\"Market Structure Analyzer v3.0 — Live Dashboard Server.\n\nUsage:\n python3 msa_server.py # start on default port (8420)\n python3 msa_server.py --port 9000 # custom port\n\nServes a live SPA dashboard with K-line charts, TA indicators, and\ncomposite signal scoring. Background threads poll via OKX CeFi CLI\n(`okx market`) for fresh data. Original CLI usage is unaffected.\n\"\"\"\nfrom __future__ import annotations\n\nimport json\nimport os\nimport sys\nimport threading\nimport time\nfrom datetime import datetime, timezone\nfrom http.server import HTTPServer, BaseHTTPRequestHandler\nfrom socketserver import ThreadingMixIn\nfrom concurrent.futures import ThreadPoolExecutor, as_completed\nfrom urllib.parse import urlparse, parse_qs\n\n# ── Resolve imports ────────────────────────────────────────────────\nSKILL_DIR = os.path.dirname(os.path.abspath(__file__))\nsys.path.insert(0, SKILL_DIR)\nsys.path.insert(0, os.path.join(SKILL_DIR, \"scripts\"))\n\nimport config as cfg\nimport fetch_market_data as fmd\n\n# ═══════════════════════════════════════════════════════════════════\n# GLOBAL CACHES\n# ═══════════════════════════════════════════════════════════════════\n\n_lock = threading.Lock()\n_structure_cache: dict = {} # token → {data, ts}\n_candle_cache: dict = {} # (token, bar) → {payload, ts}\n_macro_cache: dict = {} # {data, ts}\n_composite_scores: dict = {} # token → {score, label, signals}\n_ticker_cache: dict = {} # token → {price, change_pct, high, low, vol, ts}\n\n_hot_token = \"BTC\"\n_hot_bar = \"1H\"\n_running = True\n\nTICKER_POLL_SEC = 3 # fast price ticker (direct HTTP, ~75ms)\n\n# ═══════════════════════════════════════════════════════════════════\n# COMPOSITE SIGNAL SCORING\n# ═══════════════════════════════════════════════════════════════════\n\ndef _compute_composite(token: str) -> dict:\n \"\"\"Compute composite signal score (-100 to +100) from cached data.\"\"\"\n with _lock:\n sc = _structure_cache.get(token, {}).get(\"data\", {})\n mc = _macro_cache.get(\"data\", {})\n cc_key = (token, _hot_bar)\n candle_payload = _candle_cache.get(cc_key, {}).get(\"payload\", {})\n\n if not sc:\n return {\"score\": 0, \"label\": \"NO DATA\", \"signals\": []}\n\n deriv = sc.get(\"derivatives\", {})\n mstruct = sc.get(\"market_structure\", {})\n macro = mc\n\n signals = []\n weights = []\n\n def add(name, weight, value):\n if value is not None:\n signals.append({\"name\": name, \"weight\": weight, \"value\": round(value, 2)})\n weights.append((weight, value))\n\n # 1. Funding Rate (15%)\n funding = deriv.get(\"funding\", {})\n if funding.get(\"status\") == \"available\" and funding.get(\"rate\") is not None:\n rate = funding[\"rate\"]\n if rate \u003c -0.00005:\n add(\"Funding Rate\", 15, 100)\n elif rate > 0.0002:\n add(\"Funding Rate\", 15, -100)\n else:\n add(\"Funding Rate\", 15, max(-100, min(100, -rate * 500000)))\n\n # 2. OI Delta 24h (10%)\n oih = deriv.get(\"oi_history\", {})\n if oih.get(\"status\") == \"available\" and oih.get(\"oi_delta_1d_pct\") is not None:\n d = oih[\"oi_delta_1d_pct\"]\n if d > 5:\n add(\"OI Delta 24h\", 10, 100)\n elif d \u003c -5:\n add(\"OI Delta 24h\", 10, -100)\n else:\n add(\"OI Delta 24h\", 10, d * 20)\n\n # 3. Futures Basis (10%)\n basis = deriv.get(\"basis\", {})\n if basis.get(\"status\") == \"available\" and basis.get(\"basis_pct\") is not None:\n b = basis[\"basis_pct\"]\n if 0 \u003c b \u003c= 0.05:\n add(\"Futures Basis\", 10, 60)\n elif b \u003c 0:\n add(\"Futures Basis\", 10, -80)\n else:\n add(\"Futures Basis\", 10, max(-100, min(100, -b * 200 + 100)))\n\n # 4. Taker Buy/Sell (15%)\n tv = mstruct.get(\"taker_volume\", {})\n if tv.get(\"status\") == \"available\" and tv.get(\"buy_sell_ratio\") is not None:\n r = tv[\"buy_sell_ratio\"]\n if r > 1.05:\n add(\"Taker Buy/Sell\", 15, min(100, (r - 1) * 1000))\n elif r \u003c 0.95:\n add(\"Taker Buy/Sell\", 15, max(-100, (r - 1) * 1000))\n else:\n add(\"Taker Buy/Sell\", 15, (r - 1) * 1000)\n\n # 5. RSI 1H (10%)\n ta = candle_payload.get(\"ta\", {})\n rsi_list = ta.get(\"rsi\", [])\n if rsi_list:\n rsi_val = rsi_list[-1].get(\"value\", 50)\n if 30 \u003c= rsi_val \u003c= 50:\n add(\"RSI\", 10, 60)\n elif rsi_val > 70:\n add(\"RSI\", 10, -80)\n elif rsi_val \u003c 30:\n add(\"RSI\", 10, 80)\n else:\n add(\"RSI\", 10, max(-100, min(100, (50 - rsi_val) * 5)))\n\n # 6. MACD (10%)\n macd_data = ta.get(\"macd\", {})\n hist_list = macd_data.get(\"histogram\", [])\n if hist_list:\n h = hist_list[-1].get(\"value\", 0)\n if h > 0:\n add(\"MACD\", 10, min(100, h * 500))\n else:\n add(\"MACD\", 10, max(-100, h * 500))\n\n # 7. Fear & Greed (10%)\n fng = macro.get(\"fear_greed\", {})\n if fng.get(\"status\") == \"available\" and fng.get(\"value\") is not None:\n v = fng[\"value\"]\n if v \u003c 25:\n add(\"Fear & Greed\", 10, 80) # extreme fear = contrarian bullish\n elif v > 75:\n add(\"Fear & Greed\", 10, -80) # greed = contrarian bearish\n else:\n add(\"Fear & Greed\", 10, (50 - v) * 2)\n\n # 8. Long/Short (5%)\n ls = mstruct.get(\"long_short\", {})\n if ls.get(\"status\") == \"available\":\n long_r = ls.get(\"long_ratio\")\n if long_r is not None:\n if long_r \u003c 0.48:\n add(\"Long/Short\", 5, 70)\n elif long_r > 0.55:\n add(\"Long/Short\", 5, -70)\n else:\n add(\"Long/Short\", 5, (0.5 - long_r) * 500)\n\n # 9. Funding Trend (5%)\n fh = deriv.get(\"funding_history\", {})\n if fh.get(\"status\") == \"available\" and fh.get(\"trend\"):\n t = fh[\"trend\"]\n if t == \"decreasing\":\n add(\"Funding Trend\", 5, 60)\n elif t == \"increasing\":\n add(\"Funding Trend\", 5, -60)\n else:\n add(\"Funding Trend\", 5, 0)\n\n # 10. Options Skew (5%) — T1 tokens only\n skew = deriv.get(\"skew\", {})\n if skew.get(\"status\") == \"available\" and skew.get(\"skew_25d\") is not None:\n s = skew[\"skew_25d\"]\n if s \u003c 0:\n add(\"Options Skew\", 5, 60)\n elif s > 5:\n add(\"Options Skew\", 5, -60)\n else:\n add(\"Options Skew\", 5, -s * 12)\n\n # 11. MVRV (5%) — T1 tokens only\n onchain = sc.get(\"on_chain\", {})\n mvrv = onchain.get(\"mvrv\", {})\n if mvrv.get(\"status\") == \"available\" and mvrv.get(\"mvrv\") is not None:\n m = mvrv[\"mvrv\"]\n if m \u003c 1.5:\n add(\"MVRV\", 5, 80)\n elif m > 3.0:\n add(\"MVRV\", 5, -80)\n else:\n add(\"MVRV\", 5, max(-100, min(100, (2.25 - m) * 100)))\n\n # 12. Smart Money Flow (5%) — OnchainOS\n sm = macro.get(\"smart_money\", {})\n if sm.get(\"status\") == \"available\" and sm.get(\"buy_pct\") is not None:\n bp = sm[\"buy_pct\"]\n # >65% buying = bullish, \u003c35% = bearish\n if bp > 65:\n add(\"Smart Money\", 5, 80)\n elif bp \u003c 35:\n add(\"Smart Money\", 5, -80)\n else:\n add(\"Smart Money\", 5, (bp - 50) * 5)\n\n # Renormalize weights\n if not weights:\n return {\"score\": 0, \"label\": \"NO DATA\", \"signals\": signals}\n\n total_weight = sum(w for w, _ in weights)\n score = sum(w * v for w, v in weights) / total_weight if total_weight > 0 else 0\n score = max(-100, min(100, score))\n\n if score > 25:\n label = \"BULLISH\"\n elif score > 5:\n label = \"LEAN BULLISH\"\n elif score \u003c -25:\n label = \"BEARISH\"\n elif score \u003c -5:\n label = \"LEAN BEARISH\"\n else:\n label = \"NEUTRAL\"\n\n return {\"score\": round(score, 1), \"label\": label, \"signals\": signals}\n\n\n# ═══════════════════════════════════════════════════════════════════\n# BACKGROUND THREADS\n# ═══════════════════════════════════════════════════════════════════\n\ndef _structure_loop():\n \"\"\"Poll structure indicators for hot token every STRUCTURE_POLL_SEC.\"\"\"\n global _running\n while _running:\n try:\n token = _hot_token\n tm = fmd.TOKEN_MAP.get(token)\n if tm:\n data = fmd.analyze_token(token)\n with _lock:\n _structure_cache[token] = {\"data\": data, \"ts\": time.time()}\n # Update composite\n score = _compute_composite(token)\n with _lock:\n _composite_scores[token] = score\n _log(f\"[structure] {token} refreshed — score {score['score']} {score['label']}\")\n except Exception as e:\n _log(f\"[structure] error: {e}\")\n _sleep(cfg.STRUCTURE_POLL_SEC)\n\n\ndef _macro_loop():\n \"\"\"Poll macro indicators every STRUCTURE_POLL_SEC — concurrent fetches.\"\"\"\n global _running\n while _running:\n try:\n tasks = {\n \"fear_greed\": fmd.fear_greed,\n \"global\": fmd.coingecko_global,\n \"stablecoins\": fmd.stablecoin_data,\n \"smart_money\": fmd.onchain_smart_money_signals,\n \"hot_tokens_dex\": fmd.onchain_hot_tokens,\n }\n macro = {}\n with ThreadPoolExecutor(max_workers=5) as pool:\n futures = {pool.submit(fn): name for name, fn in tasks.items()}\n for fut in as_completed(futures):\n name = futures[fut]\n try:\n macro[name] = fut.result(timeout=15)\n except Exception:\n macro[name] = {\"status\": \"unavailable\"}\n with _lock:\n _macro_cache[\"data\"] = macro\n _macro_cache[\"ts\"] = time.time()\n _log(\"[macro] refreshed (concurrent)\")\n except Exception as e:\n _log(f\"[macro] error: {e}\")\n _sleep(cfg.STRUCTURE_POLL_SEC)\n\n\ndef _candle_loop():\n \"\"\"Poll candles for hot token+bar every CANDLE_POLL_SEC.\"\"\"\n global _running\n while _running:\n try:\n token = _hot_token\n bar = _hot_bar\n tm = fmd.TOKEN_MAP.get(token)\n if tm:\n payload = _fetch_candles(token, bar)\n if payload:\n with _lock:\n _candle_cache[(token, bar)] = {\"payload\": payload, \"ts\": time.time()}\n # Re-compute composite (RSI/MACD may have changed)\n score = _compute_composite(token)\n with _lock:\n _composite_scores[token] = score\n _log(f\"[candles] {token}/{bar} refreshed — {len(payload.get('candles', []))} bars\")\n except Exception as e:\n _log(f\"[candles] error: {e}\")\n _sleep(cfg.CANDLE_POLL_SEC)\n\n\ndef _ticker_loop():\n \"\"\"Fast price ticker — direct HTTP, polls every TICKER_POLL_SEC (~75ms per call).\"\"\"\n global _running\n while _running:\n try:\n token = _hot_token\n tm = fmd.TOKEN_MAP.get(token)\n if tm:\n data = fmd.okx_ticker_fast(tm[\"okx_spot\"])\n if data and data.get(\"status\") == \"available\":\n with _lock:\n _ticker_cache[token] = {\n \"price\": data[\"price\"],\n \"change_pct\": data.get(\"price_change_pct\", 0),\n \"high_24h\": data.get(\"high_24h\", 0),\n \"low_24h\": data.get(\"low_24h\", 0),\n \"volume_24h\": data.get(\"volume_24h_quote\", 0),\n \"ts\": time.time(),\n }\n except Exception:\n pass # silent — fast loop, don't spam logs\n time.sleep(TICKER_POLL_SEC)\n\n\ndef _fetch_candles(token: str, bar: str) -> dict | None:\n \"\"\"Fetch candles + compute TA indicators.\"\"\"\n tm = fmd.TOKEN_MAP.get(token)\n if not tm:\n return None\n inst_id = tm[\"okx_spot\"]\n candles = fmd.okx_candle_ohlcv(inst_id, bar=bar, limit=cfg.CANDLE_LIMIT)\n if not candles:\n return None\n ta = fmd.compute_ta_indicators(\n candles,\n rsi_period=cfg.RSI_PERIOD,\n bb_period=cfg.BB_PERIOD,\n bb_std=cfg.BB_STD,\n macd_fast=cfg.MACD_FAST,\n macd_slow=cfg.MACD_SLOW,\n macd_signal=cfg.MACD_SIGNAL,\n )\n return {\"candles\": candles, \"ta\": ta, \"token\": token, \"bar\": bar}\n\n\ndef _sleep(seconds: int):\n \"\"\"Interruptible sleep.\"\"\"\n deadline = time.time() + seconds\n while _running and time.time() \u003c deadline:\n time.sleep(1)\n\n\ndef _log(msg: str):\n ts = datetime.now().strftime(\"%H:%M:%S\")\n print(f\" {ts} {msg}\", file=sys.stderr)\n\n\n# ═══════════════════════════════════════════════════════════════════\n# HTTP SERVER\n# ═══════════════════════════════════════════════════════════════════\n\nclass ThreadedHTTPServer(ThreadingMixIn, HTTPServer):\n daemon_threads = True\n\n\nclass Handler(BaseHTTPRequestHandler):\n def log_message(self, fmt, *args):\n pass # suppress default access log\n\n def _json(self, data: dict, status: int = 200):\n body = json.dumps(data).encode()\n self.send_response(status)\n self.send_header(\"Content-Type\", \"application/json\")\n self.send_header(\"Content-Length\", str(len(body)))\n self.send_header(\"Access-Control-Allow-Origin\", \"*\")\n self.end_headers()\n self.wfile.write(body)\n\n def _html(self, path: str):\n try:\n with open(path, \"r\", encoding=\"utf-8\") as f:\n body = f.read().encode()\n self.send_response(200)\n self.send_header(\"Content-Type\", \"text/html; charset=utf-8\")\n self.send_header(\"Content-Length\", str(len(body)))\n self.end_headers()\n self.wfile.write(body)\n except FileNotFoundError:\n self.send_error(404, \"Not found\")\n\n def do_GET(self):\n parsed = urlparse(self.path)\n path = parsed.path\n qs = parse_qs(parsed.query)\n\n if path == \"/\" or path == \"/dashboard.html\":\n self._html(os.path.join(SKILL_DIR, \"dashboard.html\"))\n\n elif path == \"/api/state\":\n self._handle_state(qs)\n\n elif path == \"/api/candles\":\n self._handle_candles(qs)\n\n elif path == \"/api/ticker\":\n self._handle_ticker(qs)\n\n elif path == \"/api/set\":\n self._handle_set(qs)\n\n else:\n self.send_error(404, \"Not found\")\n\n def _handle_state(self, qs):\n token = qs.get(\"token\", [_hot_token])[0].upper()\n with _lock:\n sc = _structure_cache.get(token, {}).get(\"data\", {})\n mc = _macro_cache.get(\"data\", {})\n comp = _composite_scores.get(token, {})\n sc_ts = _structure_cache.get(token, {}).get(\"ts\", 0)\n mc_ts = _macro_cache.get(\"ts\", 0)\n\n self._json({\n \"token\": token,\n \"structure\": sc,\n \"macro\": mc,\n \"composite\": comp,\n \"cache_age_structure\": round(time.time() - sc_ts, 1) if sc_ts else None,\n \"cache_age_macro\": round(time.time() - mc_ts, 1) if mc_ts else None,\n \"supported_tokens\": sorted(fmd.TOKEN_MAP.keys()),\n \"supported_bars\": cfg.SUPPORTED_BARS,\n \"hot_token\": _hot_token,\n \"hot_bar\": _hot_bar,\n })\n\n def _handle_candles(self, qs):\n global _hot_token, _hot_bar\n token = qs.get(\"token\", [_hot_token])[0].upper()\n bar = qs.get(\"bar\", [_hot_bar])[0]\n if bar not in cfg.SUPPORTED_BARS:\n bar = \"1H\"\n\n cache_key = (token, bar)\n with _lock:\n cached = _candle_cache.get(cache_key)\n\n # Cache hit within TTL\n if cached and (time.time() - cached[\"ts\"]) \u003c cfg.CANDLE_POLL_SEC:\n self._json(cached[\"payload\"])\n return\n\n # Cache miss — fetch inline\n payload = _fetch_candles(token, bar)\n if payload:\n with _lock:\n _candle_cache[cache_key] = {\"payload\": payload, \"ts\": time.time()}\n self._json(payload)\n else:\n self._json({\"error\": f\"No candle data for {token}/{bar}\"}, 404)\n\n def _handle_set(self, qs):\n \"\"\"Update hot token/bar so background loops follow.\"\"\"\n global _hot_token, _hot_bar\n token = qs.get(\"token\", [None])[0]\n bar = qs.get(\"bar\", [None])[0]\n changed = False\n if token and token.upper() in fmd.TOKEN_MAP:\n _hot_token = token.upper()\n changed = True\n if bar and bar in cfg.SUPPORTED_BARS:\n _hot_bar = bar\n changed = True\n self._json({\"hot_token\": _hot_token, \"hot_bar\": _hot_bar, \"changed\": changed})\n\n def _handle_ticker(self, qs):\n \"\"\"Fast price ticker — returns cached price (updated every 5s).\"\"\"\n token = qs.get(\"token\", [_hot_token])[0].upper()\n with _lock:\n cached = _ticker_cache.get(token)\n if cached:\n self._json({\n \"token\": token,\n \"price\": cached[\"price\"],\n \"change_pct\": cached[\"change_pct\"],\n \"high_24h\": cached[\"high_24h\"],\n \"low_24h\": cached[\"low_24h\"],\n \"volume_24h\": cached[\"volume_24h\"],\n \"age_ms\": round((time.time() - cached[\"ts\"]) * 1000),\n })\n else:\n self._json({\"token\": token, \"price\": None, \"error\": \"no ticker data yet\"})\n\n\n# ═══════════════════════════════════════════════════════════════════\n# STARTUP\n# ═══════════════════════════════════════════════════════════════════\n\ndef main():\n global _running\n port = cfg.DASHBOARD_PORT\n\n # Parse --port arg\n args = sys.argv[1:]\n for i, a in enumerate(args):\n if a == \"--port\" and i + 1 \u003c len(args):\n port = int(args[i + 1])\n\n print(f\"\\n Market Structure Analyzer v3.0\", file=sys.stderr)\n print(f\" Dashboard: http://localhost:{port}\", file=sys.stderr)\n print(f\" Hot token: {_hot_token} Bar: {_hot_bar}\", file=sys.stderr)\n print(f\" Structure poll: {cfg.STRUCTURE_POLL_SEC}s Candle poll: {cfg.CANDLE_POLL_SEC}s Ticker poll: {TICKER_POLL_SEC}s\\n\", file=sys.stderr)\n\n # Initial load\n _log(\"Loading initial data...\")\n try:\n data = fmd.analyze_token(_hot_token)\n with _lock:\n _structure_cache[_hot_token] = {\"data\": data, \"ts\": time.time()}\n _log(f\"[init] {_hot_token} structure loaded\")\n except Exception as e:\n _log(f\"[init] structure error: {e}\")\n\n try:\n macro_tasks = {\n \"fear_greed\": fmd.fear_greed,\n \"global\": fmd.coingecko_global,\n \"stablecoins\": fmd.stablecoin_data,\n \"smart_money\": fmd.onchain_smart_money_signals,\n \"hot_tokens_dex\": fmd.onchain_hot_tokens,\n }\n macro = {}\n with ThreadPoolExecutor(max_workers=5) as pool:\n futures = {pool.submit(fn): name for name, fn in macro_tasks.items()}\n for fut in as_completed(futures):\n name = futures[fut]\n try:\n macro[name] = fut.result(timeout=15)\n except Exception:\n macro[name] = {\"status\": \"unavailable\"}\n with _lock:\n _macro_cache[\"data\"] = macro\n _macro_cache[\"ts\"] = time.time()\n _log(\"[init] macro loaded (concurrent)\")\n except Exception as e:\n _log(f\"[init] macro error: {e}\")\n\n try:\n payload = _fetch_candles(_hot_token, _hot_bar)\n if payload:\n with _lock:\n _candle_cache[(_hot_token, _hot_bar)] = {\"payload\": payload, \"ts\": time.time()}\n _log(f\"[init] candles loaded — {len(payload.get('candles', []))} bars\")\n except Exception as e:\n _log(f\"[init] candles error: {e}\")\n\n # Initial ticker (direct HTTP — fast)\n try:\n tm = fmd.TOKEN_MAP.get(_hot_token)\n if tm:\n td = fmd.okx_ticker_fast(tm[\"okx_spot\"])\n if td and td.get(\"status\") == \"available\":\n with _lock:\n _ticker_cache[_hot_token] = {\n \"price\": td[\"price\"],\n \"change_pct\": td.get(\"price_change_pct\", 0),\n \"high_24h\": td.get(\"high_24h\", 0),\n \"low_24h\": td.get(\"low_24h\", 0),\n \"volume_24h\": td.get(\"volume_24h_quote\", 0),\n \"ts\": time.time(),\n }\n _log(f\"[init] ticker: ${td['price']:,.2f}\")\n except Exception:\n pass\n\n # Compute initial composite\n score = _compute_composite(_hot_token)\n with _lock:\n _composite_scores[_hot_token] = score\n _log(f\"[init] composite: {score['score']} {score['label']}\")\n\n # Start background threads\n threads = [\n threading.Thread(target=_structure_loop, daemon=True, name=\"structure\"),\n threading.Thread(target=_macro_loop, daemon=True, name=\"macro\"),\n threading.Thread(target=_candle_loop, daemon=True, name=\"candles\"),\n threading.Thread(target=_ticker_loop, daemon=True, name=\"ticker\"),\n ]\n for t in threads:\n t.start()\n\n # Start HTTP server\n server = ThreadedHTTPServer((\"0.0.0.0\", port), Handler)\n _log(f\"Serving on http://localhost:{port}\")\n try:\n server.serve_forever()\n except KeyboardInterrupt:\n _running = False\n _log(\"Shutting down...\")\n server.shutdown()\n\n\nif __name__ == \"__main__\":\n main()\n","content_type":"text/x-python; charset=utf-8","language":"python","size":23024,"content_sha256":"1c246ee348243c10d4d716fa5f79d4c9111d4984343474d7c8e366a039a07057"},{"filename":"plugin.yaml","content":"schema_version: 1\nname: market-structure-analyzer\nversion: \"3.0.0\"\ndescription: \"Crypto market-structure research agent — 24+ indicators across derivatives, options, on-chain, and macro sentiment with live K-line dashboard and composite scoring\"\nauthor:\n name: \"VibeCodeDaddy\"\n github: \"VibeCodeDaddy69\"\nlicense: MIT\ncategory: strategy\ntags:\n - bitcoin\n - ethereum\n - derivatives\n - options\n - on-chain\n - market-structure\n - gamma-wall\n - mvrv\n - smart-money\n - live-dashboard\n\ncomponents:\n skill:\n dir: \".\"\n\napi_calls:\n - \"www.okx.com\"\n - \"community-api.coinmetrics.io\"\n - \"api.coingecko.com\"\n - \"api.alternative.me\"\n - \"stablecoins.llama.fi\"\n\ntype: community-developer\n","content_type":"application/yaml; charset=utf-8","language":"yaml","size":695,"content_sha256":"b2d394d1480ba9494f80d8b490563212dd16cee4f47d3be39bbae98e5a782a5e"},{"filename":"README.md","content":"# Market Structure Analyzer v3.0\n\nCrypto market-structure research agent with a live auto-refreshing dashboard. Delivers institutional-grade analysis using OKX CeFi CLI + OnchainOS CLI + direct HTTP — the same data Glassnode charges $49-999/month for.\n\n## Features\n\n- **Live Dashboard** — K-line candlestick charts (TradingView Lightweight Charts v4), RSI/MACD/Bollinger Bands overlays, timeframe selector (5m-1D), glass morphism UI\n- **12-Signal Composite Score** — weighted scoring from -100 to +100 (BULLISH/NEUTRAL/BEARISH) with real-time updates\n- **24+ Real-Time Indicators** — funding rates, OI + delta, basis, taker volume, long/short ratios, liquidation pressure, realized volatility, Fear & Greed, BTC dominance, stablecoin dry powder\n- **Options Quant** — gamma wall (market-maker support/resistance), 25-delta skew, ATM IV, butterfly spread\n- **On-Chain** — MVRV ratio + realized price (CoinMetrics), smart money signals + DEX hot tokens (OnchainOS)\n- **Dune Analytics Exchange Flows** — ETH/stablecoin CEX net flows, per-exchange breakdown, whale transfer classification (optional)\n- **Multi-Token** — BTC, ETH (Tier 1, full indicators), SOL/BNB/DOGE/AVAX/ARB/XRP/LINK (Tier 2), PEPE (Tier 3)\n- **Zero Dependencies** — Python stdlib only, no pip install needed\n\n## Quick Start\n\n```bash\n# Live dashboard (recommended)\npython3 msa_server.py\n# → http://localhost:8420\n\n# CLI-only mode (backward compatible)\npython3 scripts/fetch_market_data.py BTC ETH SOL 2>/dev/null\n```\n\n## Install\n\n```bash\nnpx skills add okx/plugin-store --skill market-structure-analyzer\n```\n\n## Data Sources\n\n| Source | Data | Cost |\n|--------|------|------|\n| OKX CeFi CLI (`okx market`) | Derivatives, price, OI, funding, L/S, candles | Free |\n| OnchainOS CLI (`onchainos`) | Smart money signals, DEX hot tokens | Free |\n| OKX Direct HTTP | Options chain (gamma wall, skew), taker volume | Free |\n| CoinMetrics | MVRV, realized price (30d history) | Free |\n| CoinGecko | BTC dominance, total market cap | Free |\n| Alternative.me | Fear & Greed Index | Free |\n| DefiLlama | Stablecoin market cap | Free |\n| Dune Analytics | Exchange flows, whale transfers (optional, via MCP) | Free |\n\n## Risk Warning\n\n> This tool provides market data and analysis for informational purposes only. It is NOT financial or trading advice. All data is READ-ONLY from public APIs. Always verify data with primary sources and do your own research before making any trading decisions.\n\n## License\n\nMIT\n","content_type":"text/markdown; charset=utf-8","language":"markdown","size":2483,"content_sha256":"982ba764002fdcac01f2c3180d3087df797241364891736216d58a8274c13d59"},{"filename":"references/data-sources.md","content":"# Data Sources Reference v2.0\n\n## Priority: OKX First, Binance Fallback\n\n### OKX Public (PRIMARY)\nBase: `https://www.okx.com/api/v5/`\n\n| Endpoint | Data | Notes |\n|----------|------|-------|\n| `public/funding-rate?instId=BTC-USDT-SWAP` | Current funding rate | Returns `fundingRate`, `fundingTime`, `nextFundingRate` |\n| `public/funding-rate-history?instId=BTC-USDT-SWAP&limit=6` | Funding history (48h) | 6 periods x 8h = 48h trend |\n| `public/open-interest?instType=SWAP&instId=BTC-USDT-SWAP` | Swap OI (contracts + currency) | `oi` = contracts, `oiCcy` = coin-denominated |\n| `public/open-interest?instType=OPTION&instFamily=BTC-USD` | Per-instrument option OI | ~1690 records, ~547 non-zero. Used for gamma wall |\n| `public/opt-summary?instFamily=BTC-USD` | Options Greeks + IV | ~736 instruments. **Only source with gammaBS, deltaBS, markVol > 0** |\n| `market/ticker?instId=BTC-USDT` | Spot ticker | price, 24h change, volume |\n| `market/ticker?instId=BTC-USDT-SWAP` | Swap ticker | Used for basis calc (swap - spot) |\n| `market/candles?instId=BTC-USDT&bar=1H&limit=24` | Hourly candles | Used for realized volatility (log returns) |\n| `rubik/stat/taker-volume?ccy=BTC&instType=CONTRACTS&period=1H` | Taker buy/sell volume | Returns arrays `[ts, sellVol, buyVol]` — **sell first, buy second** |\n| `rubik/stat/contracts/open-interest-volume?ccy=BTC&period=6H` | OI history | Returns arrays `[ts, oi, vol]` (not dicts). Used for OI delta |\n\n**IMPORTANT OKX Notes:**\n- Always check `code != \"0\"` in response — OKX returns HTTP 200 even on errors\n- `/market/tickers?instType=OPTION` returns **zero** for all Greeks — do NOT use for gamma/skew\n- `taker-volume-contract` endpoint returns 400 — use `rubik/stat/taker-volume` instead\n- Rate limit: 20 req/2s per endpoint. Add 100ms delay between calls\n\n### Binance Futures Public (FALLBACK)\nBase: `https://fapi.binance.com/`\n\n| Endpoint | Data | Used When |\n|----------|------|-----------|\n| `fapi/v1/fundingRate?symbol=BTCUSDT&limit=1` | Funding rate | Cross-reference + OKX funding fails |\n| `fapi/v1/openInterest?symbol=BTCUSDT` | Open interest | Cross-exchange OI comparison |\n| `futures/data/topLongShortPositionRatio?symbol=BTCUSDT&period=1h&limit=1` | Top trader L/S | OKX L/S fails |\n| `futures/data/globalLongShortAccountRatio?symbol=BTCUSDT&period=1h&limit=1` | Global L/S | OKX L/S fails |\n| `futures/data/takerlongshortRatio?symbol=BTCUSDT&period=1h&limit=1` | Taker ratio | Binance fallback taker ratio |\n| `futures/data/globalLongShortAccountRatio?symbol=BTCUSDT&period=1h&limit=12` | L/S ratio history (12h) | **Liquidation pressure proxy** — measures L/S swing |\n\n**IMPORTANT Binance Notes:**\n- `allForceOrders` endpoint is **deprecated** (\"out of maintenance\", returns 400). Do NOT use.\n- Use `globalLongShortAccountRatio` history as liquidation proxy instead.\n- Rate limit: 1200 req/min — plenty, no throttle needed\n\n### CoinMetrics Community API (FREE, no auth)\nBase: `https://community-api.coinmetrics.io/v4/`\n\n| Endpoint | Data | Notes |\n|----------|------|-------|\n| `timeseries/asset-metrics?assets=btc&metrics=CapMVRVCur&frequency=1d&start_time=\u003c30d_ago>&page_size=60` | MVRV ratio (30d history) | `CapMVRVCur` is free tier. `CapRealUSD` is premium (403) |\n\n**IMPORTANT CoinMetrics Notes:**\n- Use `page_size` not `limit` (limit is not supported)\n- `sort=desc` is not supported — data comes oldest-first\n- Realized price is derived: `spot_price / mvrv`\n- Supports `btc` and `eth` (lowercase)\n\n### Alternative.me\n- Fear & Greed: `https://api.alternative.me/fng/?limit=7`\n- Returns: `{ data: [{ value: \"12\", value_classification: \"Extreme Fear\", timestamp: \"...\" }] }`\n- 7-day history for trend analysis\n\n### CoinGecko (free tier, 10-30 req/min)\nBase: `https://api.coingecko.com/api/v3/`\n\n| Endpoint | Data |\n|----------|------|\n| `global` | BTC dominance, ETH dominance, total market cap, 24h volume, market cap change |\n\n### DefiLlama\n- Stablecoins: `https://stablecoins.llama.fi/stablecoins?includePrices=true`\n- Returns top stablecoins by market cap (USDT, USDC, USDS, USDe, DAI, etc.)\n\n## Token Symbol Mapping\n\n| Token | OKX Swap | OKX Spot | OKX Options Family | Binance | CoinGecko ID | Tier |\n|-------|----------|----------|-------------------|---------|--------------|------|\n| BTC | BTC-USDT-SWAP | BTC-USDT | BTC-USD | BTCUSDT | bitcoin | 1 |\n| ETH | ETH-USDT-SWAP | ETH-USDT | ETH-USD | ETHUSDT | ethereum | 1 |\n| SOL | SOL-USDT-SWAP | SOL-USDT | SOL-USD | SOLUSDT | solana | 2 |\n| BNB | BNB-USDT-SWAP | BNB-USDT | — | BNBUSDT | binancecoin | 2 |\n| AVAX | AVAX-USDT-SWAP | AVAX-USDT | — | AVAXUSDT | avalanche-2 | 2 |\n| DOGE | DOGE-USDT-SWAP | DOGE-USDT | — | DOGEUSDT | dogecoin | 2 |\n| ARB | ARB-USDT-SWAP | ARB-USDT | — | ARBUSDT | arbitrum | 2 |\n\n## Rate Limits\n\n| API | Limit | Strategy |\n|-----|-------|----------|\n| OKX | 20 req/2s per endpoint | Add 100ms delay between calls |\n| Binance | 1200 req/min | Plenty, no throttle needed |\n| CoinMetrics | ~100 req/min (community) | Fetch once per analysis |\n| CoinGecko Free | 10-30 req/min | Fetch once per analysis |\n| Alternative.me | No documented limit | Fetch once per analysis |\n| DefiLlama | No documented limit | Fetch once per analysis |\n\n## Dune Analytics (requires MCP tools)\n\nAccess: Via Dune MCP tools (`mcp__dune__executeQueryById`, `mcp__dune__getExecutionResults`)\nKey table: `cex.flows` (Spellbook spell) — tracks token deposits/withdrawals to labeled CEX wallets\n\n### Pre-built Queries\n\n| Query ID | Name | SQL Summary | Typical Cost |\n|----------|------|-------------|--------------|\n| **6988944** | ETH CEX Net Flows (7d) | Daily `SUM(deposit) - SUM(withdrawal)` for ETH from `cex.flows` grouped by `DATE(block_time)` | 0.025 credits |\n| **6988945** | CEX Flows by Exchange (24h) | Per-exchange net flows for ETH + stablecoins, filtered to >$100K net, last 24h | 0.01 credits |\n| **6988947** | Whale ETH Transfers (24h) | `tokens.transfers` JOIN `cex.addresses` for ETH transfers >100 ETH, classified as CEX deposit/withdrawal/wallet-to-wallet | 0.079 credits |\n| **6988949** | Stablecoin CEX Flows (7d) | Daily USDT + USDC net flows from `cex.flows`, last 7 days | 0.018 credits |\n\n### Dune Table Reference\n\n| Table | Description | Key Columns |\n|-------|-------------|-------------|\n| `cex.flows` | Token flows into/out of CEX wallets | `block_time`, `cex_name`, `token_symbol`, `flow_type` ('deposit'/'withdrawal'), `amount`, `amount_usd` |\n| `cex.addresses` | Known CEX wallet addresses | `blockchain`, `address`, `cex_name`, `distinct_name` |\n| `tokens.transfers` | All ERC20 + native transfers | `block_time`, `block_date`, `from`, `to`, `symbol`, `amount`, `amount_usd` |\n\n**IMPORTANT**: `cex.flows` does NOT have a `block_date` column. Use `DATE(block_time)` for daily grouping.\n\n### Execution Pattern\n\n```\n1. executeQueryById(query_id=6988944) → execution_id_1\n2. executeQueryById(query_id=6988945) → execution_id_2\n3. executeQueryById(query_id=6988947) → execution_id_3\n4. executeQueryById(query_id=6988949) → execution_id_4\n (all 4 in parallel)\n\n5. getExecutionResults(execution_id_1, timeout=120)\n6. getExecutionResults(execution_id_2, timeout=120)\n7. getExecutionResults(execution_id_3, timeout=120)\n8. getExecutionResults(execution_id_4, timeout=120)\n (all 4 in parallel)\n```\n\n## Fallback Chain\n\nFor each data type, try sources in order:\n\n1. **Funding Rate:** OKX → Binance\n2. **Funding History (48h):** OKX (no fallback)\n3. **Open Interest:** OKX → Binance (for cross-exchange comparison)\n4. **OI History / Delta:** OKX rubik (no fallback)\n5. **Taker Volume:** OKX rubik (no fallback)\n6. **Long/Short Ratio:** OKX → Binance (top trader + global)\n7. **Futures Basis:** OKX (swap - spot, no fallback)\n8. **Gamma Wall:** OKX opt-summary + option OI (Tier 1 only, no fallback)\n9. **25-Delta Skew:** OKX opt-summary (Tier 1 only, no fallback)\n10. **MVRV:** CoinMetrics community API (BTC + ETH only, no fallback)\n11. **Liquidation Pressure:** Binance L/S ratio history swing analysis (no fallback)\n12. **Realized Volatility:** OKX hourly candles (no fallback)\n13. **Exchange Flows:** Dune `cex.flows` (optional, requires MCP tools)\n14. **Whale Transfers:** Dune `tokens.transfers` + `cex.addresses` (optional)\n15. **Stablecoin Exchange Flows:** Dune `cex.flows` filtered to USDT/USDC (optional)\n16. **Sentiment:** Alternative.me (sole source)\n17. **Stablecoin Market Cap:** DefiLlama (sole source)\n18. **BTC Dominance / Market Cap:** CoinGecko global endpoint\n","content_type":"text/markdown; charset=utf-8","language":"markdown","size":8474,"content_sha256":"b1e9327446cf8626ca33f24c558e666c87ae85f14bee252d2aeb29ab7f153a60"},{"filename":"requirements.txt","content":"# Python stdlib only — no pip dependencies\n# All HTTP calls use urllib (stdlib)\n","content_type":"text/plain; charset=utf-8","language":null,"size":82,"content_sha256":"3e91498a322bdb43b1b68ca8720fb6bfcdd8f75e3ec53ff4258a8d108b0c4bc7"},{"filename":"scripts/fetch_market_data.py","content":"#!/usr/bin/env python3\n\"\"\"Market Structure Data Fetcher v3.0 — OKX CeFi CLI + OnchainOS.\n\nUsage:\n python3 fetch_market_data.py BTC # single token\n python3 fetch_market_data.py BTC ETH SOL # multi-token\n python3 fetch_market_data.py --all # all supported tokens\n\nOutputs JSON to stdout with all available indicators per token.\nPrimary: OKX CeFi CLI (`okx market`) for derivatives + price data.\nSecondary: Direct HTTP for options chain (gamma wall, skew) + external macro.\nExternal: CoinMetrics (MVRV), alternative.me (F&G), CoinGecko, DefiLlama.\n\nv3.0 changes:\n - Switched from direct OKX HTTP API to `okx` CLI (okx-cex-market skill)\n - Removed Binance fallback (single-source: OKX)\n - Added OI history via `okx market oi-history` with bar-over-bar delta\n - Long/short ratio via `okx market indicator top-long-short`\n - Concurrent CLI calls for speed (ThreadPoolExecutor)\n - Kept direct HTTP for options chain (gamma wall, skew) — too complex for CLI\n\"\"\"\nfrom __future__ import annotations\n\nimport json\nimport math\nimport os\nimport subprocess\nimport sys\nimport time\nimport urllib.request\nimport urllib.parse\nfrom concurrent.futures import ThreadPoolExecutor, as_completed\nfrom datetime import datetime, timezone\n\n# ── Config ──────────────────────────────────────────────────────────\n\nTOKEN_MAP = {\n \"BTC\": {\n \"okx_swap\": \"BTC-USDT-SWAP\", \"okx_spot\": \"BTC-USDT\", \"okx_family\": \"BTC-USD\",\n \"coingecko\": \"bitcoin\", \"tier\": 1,\n },\n \"ETH\": {\n \"okx_swap\": \"ETH-USDT-SWAP\", \"okx_spot\": \"ETH-USDT\", \"okx_family\": \"ETH-USD\",\n \"coingecko\": \"ethereum\", \"tier\": 1,\n },\n \"SOL\": {\n \"okx_swap\": \"SOL-USDT-SWAP\", \"okx_spot\": \"SOL-USDT\", \"okx_family\": \"SOL-USD\",\n \"coingecko\": \"solana\", \"tier\": 2,\n },\n \"BNB\": {\n \"okx_swap\": \"BNB-USDT-SWAP\", \"okx_spot\": \"BNB-USDT\", \"okx_family\": \"\",\n \"coingecko\": \"binancecoin\", \"tier\": 2,\n },\n \"DOGE\": {\n \"okx_swap\": \"DOGE-USDT-SWAP\", \"okx_spot\": \"DOGE-USDT\", \"okx_family\": \"\",\n \"coingecko\": \"dogecoin\", \"tier\": 2,\n },\n \"AVAX\": {\n \"okx_swap\": \"AVAX-USDT-SWAP\", \"okx_spot\": \"AVAX-USDT\", \"okx_family\": \"\",\n \"coingecko\": \"avalanche-2\", \"tier\": 2,\n },\n \"ARB\": {\n \"okx_swap\": \"ARB-USDT-SWAP\", \"okx_spot\": \"ARB-USDT\", \"okx_family\": \"\",\n \"coingecko\": \"arbitrum\", \"tier\": 2,\n },\n \"XRP\": {\n \"okx_swap\": \"XRP-USDT-SWAP\", \"okx_spot\": \"XRP-USDT\", \"okx_family\": \"\",\n \"coingecko\": \"ripple\", \"tier\": 2,\n },\n \"LINK\": {\n \"okx_swap\": \"LINK-USDT-SWAP\", \"okx_spot\": \"LINK-USDT\", \"okx_family\": \"\",\n \"coingecko\": \"chainlink\", \"tier\": 2,\n },\n \"PEPE\": {\n \"okx_swap\": \"PEPE-USDT-SWAP\", \"okx_spot\": \"PEPE-USDT\", \"okx_family\": \"\",\n \"coingecko\": \"pepe\", \"tier\": 3,\n },\n}\n\nOKX_BASE = \"https://www.okx.com/api/v5\" # kept for options chain (gamma wall, skew)\nHEADERS = {\"User-Agent\": \"okx-market-analyzer/3.0\", \"Accept\": \"application/json\"}\n\n# OKX CeFi CLI — installed via `npm install -g @okx_ai/okx-trade-cli`\nOKX_CLI = os.environ.get(\"OKX_CLI_PATH\", \"/Users/victorlee/.npm-global]/bin/okx\")\n\n\n# ── Helpers ─────────────────────────────────────────────────────────\n\ndef safe_float(val, default=0.0) -> float:\n \"\"\"Safely convert to float; returns default on None, empty string, or bad value.\"\"\"\n if val is None or val == \"\":\n return default\n try:\n return float(val)\n except (ValueError, TypeError):\n return default\n\n\ndef fetch(url: str, timeout: int = 12, retries: int = 1) -> dict | list | None:\n \"\"\"Fetch JSON from URL with retry. Returns parsed data or error dict.\"\"\"\n for attempt in range(retries + 1):\n try:\n req = urllib.request.Request(url, headers=HEADERS)\n with urllib.request.urlopen(req, timeout=timeout) as resp:\n return json.loads(resp.read().decode())\n except Exception as e:\n if attempt \u003c retries:\n time.sleep(0.5 * (attempt + 1))\n continue\n return {\"_error\": str(e), \"_url\": url}\n\n\ndef is_error(data) -> bool:\n return data is None or (isinstance(data, dict) and \"_error\" in data)\n\n\ndef okx_data(resp) -> list:\n \"\"\"Extract .data array from OKX API response, checking for OKX error codes.\"\"\"\n if is_error(resp):\n return []\n if not isinstance(resp, dict):\n return []\n # OKX returns {\"code\": \"0\", \"data\": [...]} on success\n # and {\"code\": \"50011\", \"data\": [], \"msg\": \"Rate limit\"} on error\n code = resp.get(\"code\", \"0\")\n if code != \"0\":\n return []\n return resp.get(\"data\", [])\n\n\n# ═══════════════════════════════════════════════════════════════════\n# OKX CeFi CLI HELPER\n# ═══════════════════════════════════════════════════════════════════\n\ndef okx_cli(args: list[str], timeout: int = 15) -> list | dict | None:\n \"\"\"Run `okx \u003cargs> --json` and return parsed JSON.\n\n Returns the parsed JSON on success, None on failure.\n The CLI returns a JSON array or object directly.\n \"\"\"\n cmd = [OKX_CLI] + args + [\"--json\"]\n try:\n result = subprocess.run(\n cmd, capture_output=True, text=True, timeout=timeout,\n )\n if result.returncode != 0:\n return None\n return json.loads(result.stdout)\n except (subprocess.TimeoutExpired, json.JSONDecodeError, FileNotFoundError):\n return None\n\n\n# ═══════════════════════════════════════════════════════════════════\n# OKX CEFI CLI DATA (PRIMARY)\n# ═══════════════════════════════════════════════════════════════════\n\ndef okx_funding(inst_id: str) -> dict:\n \"\"\"Current + next funding rate via `okx market funding-rate`.\"\"\"\n if not inst_id:\n return {\"status\": \"unavailable\"}\n data = okx_cli([\"market\", \"funding-rate\", inst_id])\n if not data or not isinstance(data, list) or not data:\n return {\"status\": \"unavailable\"}\n r = data[0]\n rate = safe_float(r.get(\"fundingRate\"))\n next_rate = safe_float(r.get(\"nextFundingRate\")) if r.get(\"nextFundingRate\") else None\n return {\n \"status\": \"available\",\n \"rate\": rate,\n \"rate_pct\": round(rate * 100, 6),\n \"rate_annualized_pct\": round(rate * 3 * 365 * 100, 2),\n \"next_rate\": next_rate,\n \"next_rate_pct\": round(next_rate * 100, 6) if next_rate is not None else None,\n \"time\": r.get(\"fundingTime\", \"\"),\n \"source\": \"okx-cli\",\n }\n\n\ndef okx_funding_history(inst_id: str, limit: int = 6) -> dict:\n \"\"\"Recent funding rate history via `okx market funding-rate --history`.\n\n Returns trend direction and average rate.\n \"\"\"\n if not inst_id:\n return {\"status\": \"unavailable\"}\n data = okx_cli([\"market\", \"funding-rate\", inst_id, \"--history\", \"--limit\", str(limit)])\n if not data or not isinstance(data, list) or not data:\n return {\"status\": \"unavailable\"}\n rates = [safe_float(r.get(\"fundingRate\")) for r in data if isinstance(r, dict)]\n if not rates:\n return {\"status\": \"unavailable\"}\n\n avg = sum(rates) / len(rates)\n mid = len(rates) // 2\n recent_avg = sum(rates[:mid]) / max(mid, 1)\n older_avg = sum(rates[mid:]) / max(len(rates) - mid, 1)\n if recent_avg > older_avg * 1.2:\n trend = \"increasing\"\n elif recent_avg \u003c older_avg * 0.8:\n trend = \"decreasing\"\n else:\n trend = \"stable\"\n\n return {\n \"status\": \"available\",\n \"rates\": [round(r * 100, 6) for r in rates],\n \"avg_rate_pct\": round(avg * 100, 6),\n \"avg_annualized_pct\": round(avg * 3 * 365 * 100, 2),\n \"trend\": trend,\n \"periods\": len(rates),\n \"source\": \"okx-cli\",\n }\n\n\ndef okx_open_interest(inst_id: str) -> dict:\n \"\"\"Open interest via `okx market open-interest`.\"\"\"\n if not inst_id:\n return {\"status\": \"unavailable\"}\n data = okx_cli([\"market\", \"open-interest\", \"--instType\", \"SWAP\", \"--instId\", inst_id])\n if not data or not isinstance(data, list) or not data:\n return {\"status\": \"unavailable\"}\n r = data[0]\n return {\n \"status\": \"available\",\n \"oi\": safe_float(r.get(\"oi\")),\n \"oi_currency\": safe_float(r.get(\"oiCcy\")),\n \"oi_usd\": safe_float(r.get(\"oiUsd\")),\n \"source\": \"okx-cli\",\n }\n\n\ndef okx_oi_history(inst_id: str) -> dict:\n \"\"\"OI history with bar-over-bar delta via `okx market oi-history`.\n\n The CLI returns rows with oiCcy, oiUsd, oiDeltaPct per bar.\n \"\"\"\n if not inst_id:\n return {\"status\": \"unavailable\"}\n data = okx_cli([\"market\", \"oi-history\", inst_id, \"--bar\", \"1H\", \"--limit\", \"24\"])\n if not data or not isinstance(data, list) or not data:\n return {\"status\": \"unavailable\"}\n\n # CLI returns [{bar, instId, rows: [{oiCcy, oiCont, oiDeltaPct, oiDeltaUsd, oiUsd, ts}]}]\n entry = data[0] if data else {}\n rows = entry.get(\"rows\", [])\n if not rows:\n return {\"status\": \"unavailable\"}\n\n latest = rows[0]\n latest_oi = safe_float(latest.get(\"oiCcy\"))\n latest_oi_usd = safe_float(latest.get(\"oiUsd\"))\n\n # Sum up delta over 24 bars for 24h aggregate delta\n deltas = [safe_float(r.get(\"oiDeltaPct\")) for r in rows]\n oi_delta_1d_pct = sum(deltas) if deltas else 0\n oi_delta_step_pct = safe_float(latest.get(\"oiDeltaPct\"))\n\n return {\n \"status\": \"available\",\n \"latest_oi\": latest_oi,\n \"latest_oi_usd\": latest_oi_usd,\n \"oi_delta_1d_pct\": round(oi_delta_1d_pct, 2),\n \"oi_delta_step_pct\": round(oi_delta_step_pct, 2),\n \"data_points\": len(rows),\n \"source\": \"okx-cli\",\n }\n\n\ndef okx_ticker(inst_id: str) -> dict:\n \"\"\"24h ticker via `okx market ticker` CLI.\"\"\"\n if not inst_id:\n return {\"status\": \"unavailable\"}\n data = okx_cli([\"market\", \"ticker\", inst_id])\n if not data or not isinstance(data, list) or not data:\n return {\"status\": \"unavailable\"}\n r = data[0]\n last = safe_float(r.get(\"last\"))\n open24 = safe_float(r.get(\"open24h\"))\n change_pct = ((last - open24) / open24 * 100) if open24 > 0 else 0\n return {\n \"status\": \"available\",\n \"price\": last,\n \"open_24h\": open24,\n \"high_24h\": safe_float(r.get(\"high24h\")),\n \"low_24h\": safe_float(r.get(\"low24h\")),\n \"volume_24h_base\": safe_float(r.get(\"vol24h\")),\n \"volume_24h_quote\": safe_float(r.get(\"volCcy24h\")),\n \"price_change_pct\": round(change_pct, 2),\n \"source\": \"okx-cli\",\n }\n\n\ndef okx_ticker_fast(inst_id: str) -> dict:\n \"\"\"24h ticker via direct HTTP — 5-8x faster than CLI for high-frequency polling.\"\"\"\n if not inst_id:\n return {\"status\": \"unavailable\"}\n resp = fetch(f\"{OKX_BASE}/market/ticker?instId={inst_id}\", timeout=5)\n items = okx_data(resp)\n if not items:\n return {\"status\": \"unavailable\"}\n r = items[0]\n last = safe_float(r.get(\"last\"))\n open24 = safe_float(r.get(\"open24h\"))\n change_pct = ((last - open24) / open24 * 100) if open24 > 0 else 0\n return {\n \"status\": \"available\",\n \"price\": last,\n \"open_24h\": open24,\n \"high_24h\": safe_float(r.get(\"high24h\")),\n \"low_24h\": safe_float(r.get(\"low24h\")),\n \"volume_24h_base\": safe_float(r.get(\"vol24h\")),\n \"volume_24h_quote\": safe_float(r.get(\"volCcy24h\")),\n \"price_change_pct\": round(change_pct, 2),\n \"source\": \"okx\",\n }\n\n\ndef okx_funding_fast(inst_id: str) -> dict:\n \"\"\"Funding rate via direct HTTP — faster than CLI for concurrent fetching.\"\"\"\n if not inst_id:\n return {\"status\": \"unavailable\"}\n resp = fetch(f\"{OKX_BASE}/public/funding-rate?instId={inst_id}\", timeout=5)\n items = okx_data(resp)\n if not items:\n return {\"status\": \"unavailable\"}\n r = items[0]\n rate = safe_float(r.get(\"fundingRate\"))\n next_rate = safe_float(r.get(\"nextFundingRate\")) if r.get(\"nextFundingRate\") else None\n return {\n \"status\": \"available\",\n \"rate\": rate,\n \"rate_pct\": round(rate * 100, 6),\n \"rate_annualized_pct\": round(rate * 3 * 365 * 100, 2),\n \"next_rate\": next_rate,\n \"next_rate_pct\": round(next_rate * 100, 6) if next_rate is not None else None,\n \"time\": r.get(\"fundingTime\", \"\"),\n \"source\": \"okx\",\n }\n\n\ndef okx_oi_fast(inst_id: str) -> dict:\n \"\"\"Open interest via direct HTTP — faster than CLI.\"\"\"\n if not inst_id:\n return {\"status\": \"unavailable\"}\n resp = fetch(f\"{OKX_BASE}/public/open-interest?instType=SWAP&instId={inst_id}\", timeout=5)\n items = okx_data(resp)\n if not items:\n return {\"status\": \"unavailable\"}\n r = items[0]\n return {\n \"status\": \"available\",\n \"oi\": safe_float(r.get(\"oi\")),\n \"oi_currency\": safe_float(r.get(\"oiCcy\")),\n \"oi_usd\": safe_float(r.get(\"oiUsd\")),\n \"source\": \"okx\",\n }\n\n\ndef okx_candle_history(inst_id: str, bar: str = \"1H\", limit: int = 24) -> list:\n \"\"\"Fetch candle data for volatility calculation via `okx market candles`.\n Returns list of close prices.\"\"\"\n if not inst_id:\n return []\n data = okx_cli([\"market\", \"candles\", inst_id, \"--bar\", bar, \"--limit\", str(limit)])\n if not data or not isinstance(data, list):\n return []\n # CLI returns same format: [[ts, open, high, low, close, vol, ...], ...]\n closes = []\n for c in data:\n if isinstance(c, list) and len(c) >= 5:\n closes.append(safe_float(c[4]))\n return closes\n\n\n# ═══════════════════════════════════════════════════════════════════\n# OHLCV CANDLES + TA INDICATORS\n# ═══════════════════════════════════════════════════════════════════\n\ndef okx_candle_ohlcv(inst_id: str, bar: str = \"1H\", limit: int = 300) -> list:\n \"\"\"Fetch OHLCV candles via `okx market candles`. Returns list of\n {time, open, high, low, close, volume} sorted oldest-first.\"\"\"\n if not inst_id:\n return []\n data = okx_cli([\"market\", \"candles\", inst_id, \"--bar\", bar, \"--limit\", str(limit)], timeout=20)\n if not data or not isinstance(data, list):\n return []\n candles = []\n for c in data:\n if isinstance(c, list) and len(c) >= 6:\n candles.append({\n \"time\": int(safe_float(c[0])) // 1000, # ms → seconds\n \"open\": safe_float(c[1]),\n \"high\": safe_float(c[2]),\n \"low\": safe_float(c[3]),\n \"close\": safe_float(c[4]),\n \"volume\": safe_float(c[5]),\n })\n candles.reverse() # OKX returns newest-first; we want oldest-first\n return candles\n\n\ndef _ema(values: list, period: int) -> list:\n \"\"\"Exponential moving average. Returns list same length as input.\"\"\"\n if not values:\n return []\n result = [values[0]]\n k = 2.0 / (period + 1)\n for i in range(1, len(values)):\n result.append(values[i] * k + result[-1] * (1 - k))\n return result\n\n\ndef _rsi_series(closes: list, period: int = 14) -> list:\n \"\"\"Full RSI series using Wilder's smoothing. Returns list same length as closes.\"\"\"\n if len(closes) \u003c 2:\n return [50.0] * len(closes)\n deltas = [closes[i] - closes[i - 1] for i in range(1, len(closes))]\n gains = [max(d, 0) for d in deltas]\n losses = [max(-d, 0) for d in deltas]\n\n result = [50.0] # pad first value\n if len(gains) \u003c period:\n return [50.0] * len(closes)\n\n # Seed: simple average of first `period` values\n avg_gain = sum(gains[:period]) / period\n avg_loss = sum(losses[:period]) / period\n # Pad initial period with 50\n result.extend([50.0] * (period - 1))\n # First RSI\n rs = avg_gain / avg_loss if avg_loss > 0 else 100.0\n rsi_val = 100.0 - (100.0 / (1.0 + rs)) if avg_loss > 0 else 100.0\n result.append(rsi_val)\n\n # Wilder's smoothing for remaining\n for i in range(period, len(gains)):\n avg_gain = (avg_gain * (period - 1) + gains[i]) / period\n avg_loss = (avg_loss * (period - 1) + losses[i]) / period\n if avg_loss == 0:\n result.append(100.0)\n else:\n rs = avg_gain / avg_loss\n result.append(100.0 - (100.0 / (1.0 + rs)))\n return result\n\n\ndef _bb_series(closes: list, period: int = 20, num_std: float = 2.0) -> dict:\n \"\"\"Bollinger Bands full series. Returns {upper:[], middle:[], lower:[]}.\"\"\"\n n = len(closes)\n upper, middle, lower = [], [], []\n for i in range(n):\n if i \u003c period - 1:\n upper.append(closes[i])\n middle.append(closes[i])\n lower.append(closes[i])\n else:\n window = closes[i - period + 1: i + 1]\n mid = sum(window) / period\n variance = sum((x - mid) ** 2 for x in window) / period\n std = variance ** 0.5\n upper.append(mid + num_std * std)\n middle.append(mid)\n lower.append(mid - num_std * std)\n return {\"upper\": upper, \"middle\": middle, \"lower\": lower}\n\n\ndef _macd_series(closes: list, fast: int = 12, slow: int = 26, signal: int = 9) -> dict:\n \"\"\"MACD full series. Returns {macd:[], signal:[], histogram:[]}.\"\"\"\n ema_fast = _ema(closes, fast)\n ema_slow = _ema(closes, slow)\n macd_line = [f - s for f, s in zip(ema_fast, ema_slow)]\n signal_line = _ema(macd_line, signal)\n histogram = [m - s for m, s in zip(macd_line, signal_line)]\n return {\"macd\": macd_line, \"signal\": signal_line, \"histogram\": histogram}\n\n\ndef compute_ta_indicators(candles: list, rsi_period: int = 14,\n bb_period: int = 20, bb_std: float = 2.0,\n macd_fast: int = 12, macd_slow: int = 26,\n macd_signal: int = 9) -> dict:\n \"\"\"Compute TA indicators from candles. Returns chart-ready dicts with {time,value} pairs.\"\"\"\n if not candles:\n return {}\n closes = [c[\"close\"] for c in candles]\n times = [c[\"time\"] for c in candles]\n\n rsi_vals = _rsi_series(closes, rsi_period)\n bb = _bb_series(closes, bb_period, bb_std)\n macd = _macd_series(closes, macd_fast, macd_slow, macd_signal)\n\n def to_tv(values):\n return [{\"time\": t, \"value\": round(v, 6)} for t, v in zip(times, values)]\n\n return {\n \"rsi\": to_tv(rsi_vals),\n \"bb\": {\n \"upper\": to_tv(bb[\"upper\"]),\n \"middle\": to_tv(bb[\"middle\"]),\n \"lower\": to_tv(bb[\"lower\"]),\n },\n \"macd\": {\n \"macd\": to_tv(macd[\"macd\"]),\n \"signal\": to_tv(macd[\"signal\"]),\n \"histogram\": to_tv(macd[\"histogram\"]),\n },\n }\n\n\ndef compute_realized_volatility(closes: list) -> dict:\n \"\"\"Compute realized volatility from hourly close prices.\n\n Returns annualized vol (sqrt(8760) for hourly data).\n \"\"\"\n if len(closes) \u003c 3:\n return {\"status\": \"unavailable\"}\n\n # Log returns\n returns = []\n for i in range(1, len(closes)):\n if closes[i - 1] > 0 and closes[i] > 0:\n returns.append(math.log(closes[i] / closes[i - 1]))\n\n if len(returns) \u003c 2:\n return {\"status\": \"unavailable\"}\n\n mean = sum(returns) / len(returns)\n variance = sum((r - mean) ** 2 for r in returns) / (len(returns) - 1)\n hourly_vol = math.sqrt(variance)\n annualized_vol = hourly_vol * math.sqrt(8760) # 8760 hours/year\n\n return {\n \"status\": \"available\",\n \"realized_vol_1h\": round(hourly_vol * 100, 4),\n \"realized_vol_annualized_pct\": round(annualized_vol * 100, 2),\n \"sample_hours\": len(returns),\n \"source\": \"okx\",\n }\n\n\ndef okx_long_short(inst_id: str) -> dict:\n \"\"\"Long/short ratio via `okx market indicator top-long-short`.\"\"\"\n if not inst_id:\n return {\"status\": \"unavailable\"}\n # The indicator uses spot instId (BTC-USDT not BTC-USDT-SWAP)\n spot_id = \"-\".join(inst_id.split(\"-\")[:2]) # BTC-USDT-SWAP → BTC-USDT\n data = okx_cli([\"market\", \"indicator\", \"top-long-short\", spot_id])\n if not data or not isinstance(data, list) or not data:\n return {\"status\": \"unavailable\"}\n\n # Parse nested indicator response\n try:\n entry = data[0].get(\"data\", [{}])[0]\n tf = entry.get(\"timeframes\", {})\n # Get the first available timeframe\n for _, tf_data in tf.items():\n indicators = tf_data.get(\"indicators\", {})\n ls_data = indicators.get(\"TOPLONGSHORT\", [{}])\n if ls_data:\n vals = ls_data[0].get(\"values\", {})\n return {\n \"status\": \"available\",\n \"long_ratio\": safe_float(vals.get(\"longRatio\")),\n \"short_ratio\": safe_float(vals.get(\"shortRatio\")),\n \"long_short_ratio\": safe_float(vals.get(\"longShortRatio\")),\n \"source\": \"okx-cli\",\n }\n except (IndexError, KeyError, TypeError):\n pass\n return {\"status\": \"unavailable\"}\n\n\ndef okx_options_summary(inst_family: str) -> dict:\n \"\"\"Options summary: put/call ratio, max pain from OKX.\"\"\"\n if not inst_family:\n return {\"status\": \"unavailable\", \"reason\": \"No options market for this token\"}\n items = okx_data(fetch(f\"{OKX_BASE}/public/opt-summary?instFamily={inst_family}\"))\n if not items:\n return {\"status\": \"unavailable\"}\n r = items[0]\n return {\n \"status\": \"available\",\n \"put_call_ratio\": safe_float(r.get(\"putCallRatio\")) or None,\n \"max_pain\": safe_float(r.get(\"maxPain\")) or None,\n \"call_volume\": safe_float(r.get(\"callVol\")) or None,\n \"put_volume\": safe_float(r.get(\"putVol\")) or None,\n \"call_oi\": safe_float(r.get(\"callOi\")) or None,\n \"put_oi\": safe_float(r.get(\"putOi\")) or None,\n \"source\": \"okx\",\n }\n\n\ndef okx_taker_volume(ccy: str) -> dict:\n \"\"\"Taker buy/sell volume ratio from OKX contracts.\n\n Endpoint: rubik/stat/taker-volume?ccy=BTC&instType=CONTRACTS\n Returns arrays: [ts, sellVol, buyVol] — note: sell first, buy second.\n \"\"\"\n if not ccy:\n return {\"status\": \"unavailable\"}\n url = f\"{OKX_BASE}/rubik/stat/taker-volume?ccy={ccy}&instType=CONTRACTS&period=1H\"\n items = okx_data(fetch(url))\n if not items:\n return {\"status\": \"unavailable\"}\n r = items[0]\n if isinstance(r, list) and len(r) >= 3:\n sell_vol = safe_float(r[1]) # index 1 = sellVol\n buy_vol = safe_float(r[2]) # index 2 = buyVol\n elif isinstance(r, dict):\n buy_vol = safe_float(r.get(\"buyVol\"))\n sell_vol = safe_float(r.get(\"sellVol\"))\n else:\n return {\"status\": \"unavailable\"}\n\n ratio = (buy_vol / sell_vol) if sell_vol > 0 else None\n return {\n \"status\": \"available\",\n \"buy_volume\": round(buy_vol, 2),\n \"sell_volume\": round(sell_vol, 2),\n \"buy_sell_ratio\": round(ratio, 4) if ratio else None,\n \"interpretation\": (\n \"aggressive buying\" if ratio and ratio > 1.1\n else \"aggressive selling\" if ratio and ratio \u003c 0.9\n else \"balanced\"\n ),\n \"source\": \"okx\",\n }\n\n\ndef okx_futures_basis(swap_id: str, spot_id: str) -> dict:\n \"\"\"Futures basis (premium) via `okx market ticker` for swap vs spot.\"\"\"\n swap_data = okx_cli([\"market\", \"ticker\", swap_id])\n spot_data = okx_cli([\"market\", \"ticker\", spot_id])\n if not swap_data or not spot_data:\n return {\"status\": \"unavailable\"}\n swap_price = safe_float(swap_data[0].get(\"last\")) if isinstance(swap_data, list) and swap_data else 0\n spot_price = safe_float(spot_data[0].get(\"last\")) if isinstance(spot_data, list) and spot_data else 0\n if spot_price == 0:\n return {\"status\": \"unavailable\"}\n basis_pct = ((swap_price - spot_price) / spot_price) * 100\n return {\n \"status\": \"available\",\n \"swap_price\": swap_price,\n \"spot_price\": spot_price,\n \"basis_pct\": round(basis_pct, 4),\n \"interpretation\": (\n \"contango (longs paying premium)\" if basis_pct > 0.01\n else \"backwardation (shorts paying premium)\" if basis_pct \u003c -0.01\n else \"near parity\"\n ),\n \"source\": \"okx-cli\",\n }\n\n\n# ═══════════════════════════════════════════════════════════════════\n# ON-CHAIN: MVRV + REALIZED PRICE (CoinMetrics free API)\n# ═══════════════════════════════════════════════════════════════════\n\ndef coinmetrics_mvrv(asset: str, spot_price: float = 0) -> dict:\n \"\"\"Fetch MVRV ratio from CoinMetrics community API (free, no key).\n\n MVRV = Market Cap / Realized Cap.\n >3.5 = historically overheated. \u003c1.0 = undervalued (holders underwater).\n \"\"\"\n cm_asset = {\"BTC\": \"btc\", \"ETH\": \"eth\"}.get(asset.upper(), \"\")\n if not cm_asset:\n return {\"status\": \"unavailable\", \"reason\": \"MVRV only available for BTC/ETH\"}\n\n end = datetime.now(timezone.utc)\n start_str = (end - __import__(\"datetime\").timedelta(days=30)).strftime(\"%Y-%m-%dT00:00:00Z\")\n\n url = (\n f\"https://community-api.coinmetrics.io/v4/timeseries/asset-metrics\"\n f\"?assets={cm_asset}&metrics=CapMVRVCur&frequency=1d\"\n f\"&start_time={start_str}&page_size=60\"\n )\n data = fetch(url, timeout=15)\n if is_error(data):\n return {\"status\": \"unavailable\"}\n\n items = data.get(\"data\", [])\n if not items:\n return {\"status\": \"unavailable\"}\n\n # Filter to this asset\n values = [safe_float(i.get(\"CapMVRVCur\")) for i in items if i.get(\"asset\") == cm_asset and i.get(\"CapMVRVCur\")]\n if not values:\n return {\"status\": \"unavailable\"}\n\n latest = values[-1]\n high_30d = max(values)\n low_30d = min(values)\n avg_30d = sum(values) / len(values)\n\n # Realized price = spot / MVRV\n realized_price = round(spot_price / latest, 2) if latest > 0 and spot_price > 0 else None\n\n # Interpretation\n if latest > 3.5:\n zone = \"overheated (historically top territory)\"\n elif latest > 2.5:\n zone = \"elevated (caution)\"\n elif latest > 1.5:\n zone = \"healthy\"\n elif latest > 1.0:\n zone = \"undervalued (accumulation zone)\"\n else:\n zone = \"deep value (holders underwater)\"\n\n return {\n \"status\": \"available\",\n \"mvrv\": round(latest, 4),\n \"mvrv_30d_high\": round(high_30d, 4),\n \"mvrv_30d_low\": round(low_30d, 4),\n \"mvrv_30d_avg\": round(avg_30d, 4),\n \"realized_price\": realized_price,\n \"zone\": zone,\n \"data_points\": len(values),\n \"source\": \"coinmetrics\",\n }\n\n\n# ═══════════════════════════════════════════════════════════════════\n# OPTIONS: GAMMA WALL + SKEW (OKX option chain)\n# ═══════════════════════════════════════════════════════════════════\n\ndef okx_gamma_wall(inst_family: str, spot_price: float = 0) -> dict:\n \"\"\"Compute gamma exposure by strike from OKX option chain.\n\n Gamma wall = strike with largest net gamma × OI. Market makers who are\n net short options have negative gamma — price tends to stick near high-gamma\n strikes (pin risk) and accelerate away from low-gamma zones.\n \"\"\"\n if not inst_family:\n return {\"status\": \"unavailable\", \"reason\": \"No options market\"}\n\n # Fetch opt-summary (has Greeks: gammaBS, deltaBS, markVol per instrument)\n summary_data = fetch(f\"{OKX_BASE}/public/opt-summary?instFamily={inst_family}\", timeout=15)\n summary_items = okx_data(summary_data) if not is_error(summary_data) else []\n\n # Fetch per-instrument OI\n oi_data = fetch(f\"{OKX_BASE}/public/open-interest?instType=OPTION&instFamily={inst_family}\", timeout=15)\n oi_items = okx_data(oi_data) if not is_error(oi_data) else []\n\n if not summary_items or not oi_items:\n return {\"status\": \"unavailable\"}\n\n # Build OI map: instId → oiCcy\n oi_map = {}\n for item in oi_items:\n inst_id = item.get(\"instId\", \"\")\n oi_map[inst_id] = safe_float(item.get(\"oiCcy\"))\n\n # Build gamma map: aggregate gamma × OI by strike\n from collections import defaultdict\n gamma_by_strike = defaultdict(float)\n call_oi_by_strike = defaultdict(float)\n put_oi_by_strike = defaultdict(float)\n\n for t in summary_items:\n inst_id = t.get(\"instId\", \"\")\n parts = inst_id.split(\"-\")\n if len(parts) != 5:\n continue\n\n strike = safe_float(parts[3])\n cp = parts[4] # C or P\n gamma_bs = safe_float(t.get(\"gammaBS\"))\n oi = oi_map.get(inst_id, 0)\n\n if oi \u003c= 0 or gamma_bs \u003c= 0:\n continue\n\n # Net gamma exposure (MM perspective: short options → negative gamma)\n # Calls: MM short gamma if calls are bought\n # Puts: MM short gamma if puts are bought\n # For gamma wall: just aggregate |gamma × OI| per strike\n gamma_exposure = gamma_bs * oi * spot_price * spot_price * 0.01 if spot_price > 0 else gamma_bs * oi\n gamma_by_strike[strike] += gamma_exposure\n\n if cp == \"C\":\n call_oi_by_strike[strike] += oi\n else:\n put_oi_by_strike[strike] += oi\n\n if not gamma_by_strike:\n return {\"status\": \"unavailable\"}\n\n # Sort by gamma exposure, find top 5 gamma walls\n sorted_strikes = sorted(gamma_by_strike.items(), key=lambda x: -x[1])\n top_5 = sorted_strikes[:5]\n\n # Find the biggest gamma wall\n wall_strike = top_5[0][0]\n wall_gamma = top_5[0][1]\n\n # Classify: above spot = resistance, below spot = support\n if spot_price > 0:\n wall_type = \"resistance (price magnet above)\" if wall_strike > spot_price else \"support (price magnet below)\"\n else:\n wall_type = \"unknown\"\n\n return {\n \"status\": \"available\",\n \"gamma_wall_strike\": wall_strike,\n \"gamma_wall_exposure\": round(wall_gamma, 2),\n \"wall_type\": wall_type,\n \"top_strikes\": [{\"strike\": s, \"gamma\": round(g, 2)} for s, g in top_5],\n \"call_oi_strikes\": {str(int(k)): round(v, 4) for k, v in sorted(call_oi_by_strike.items()) if v > 0.1},\n \"put_oi_strikes\": {str(int(k)): round(v, 4) for k, v in sorted(put_oi_by_strike.items()) if v > 0.1},\n \"total_strikes_with_oi\": len(gamma_by_strike),\n \"source\": \"okx\",\n }\n\n\ndef okx_skew(inst_family: str) -> dict:\n \"\"\"Compute 25-delta risk reversal (skew) from OKX option chain.\n\n Skew = 25d Put IV - 25d Call IV.\n Positive skew → puts are more expensive → market is paying for downside protection (bearish).\n Negative skew → calls are more expensive → market is bidding for upside (bullish).\n\n Uses the nearest weekly expiry for most liquid data.\n \"\"\"\n if not inst_family:\n return {\"status\": \"unavailable\", \"reason\": \"No options market\"}\n\n # Use opt-summary which has full Greeks (deltaBS, markVol, bidVol, askVol)\n summary_data = fetch(f\"{OKX_BASE}/public/opt-summary?instFamily={inst_family}\", timeout=15)\n summary_items = okx_data(summary_data) if not is_error(summary_data) else []\n\n if not summary_items:\n return {\"status\": \"unavailable\"}\n\n # Group by expiry\n from collections import defaultdict\n by_expiry = defaultdict(list)\n for t in summary_items:\n inst_id = t.get(\"instId\", \"\")\n parts = inst_id.split(\"-\")\n if len(parts) != 5:\n continue\n exp = parts[2]\n strike = safe_float(parts[3])\n cp = parts[4]\n delta = safe_float(t.get(\"deltaBS\")) # Black-Scholes delta\n mark_vol = safe_float(t.get(\"markVol\")) # Mark IV\n ask_vol = safe_float(t.get(\"askVol\"))\n bid_vol = safe_float(t.get(\"bidVol\"))\n mid_vol = (ask_vol + bid_vol) / 2 if ask_vol > 0 and bid_vol > 0 else mark_vol\n\n if mid_vol \u003c= 0:\n continue\n\n by_expiry[exp].append({\n \"strike\": strike, \"cp\": cp, \"delta\": delta,\n \"iv\": mid_vol, \"mark_vol\": mark_vol,\n })\n\n if not by_expiry:\n return {\"status\": \"unavailable\"}\n\n # Use nearest expiry with enough data\n sorted_expiries = sorted(by_expiry.keys())\n target_exp = None\n for exp in sorted_expiries:\n if len(by_expiry[exp]) >= 6: # need at least a few strikes\n target_exp = exp\n break\n\n if not target_exp:\n return {\"status\": \"unavailable\"}\n\n options = by_expiry[target_exp]\n\n # Find 25-delta put and 25-delta call\n # 25d call: delta ≈ +0.25, 25d put: delta ≈ -0.25\n calls = [o for o in options if o[\"cp\"] == \"C\"]\n puts = [o for o in options if o[\"cp\"] == \"P\"]\n\n # Find closest to 25-delta\n call_25d = min(calls, key=lambda o: abs(abs(o[\"delta\"]) - 0.25), default=None) if calls else None\n put_25d = min(puts, key=lambda o: abs(abs(o[\"delta\"]) - 0.25), default=None) if puts else None\n\n # Find ATM (closest to 50-delta)\n atm_call = min(calls, key=lambda o: abs(abs(o[\"delta\"]) - 0.5), default=None) if calls else None\n\n if not call_25d or not put_25d:\n return {\"status\": \"unavailable\"}\n\n skew_25d = put_25d[\"iv\"] - call_25d[\"iv\"] # positive = bearish\n atm_iv = atm_call[\"iv\"] if atm_call else (call_25d[\"iv\"] + put_25d[\"iv\"]) / 2\n\n # Butterfly: (25d put IV + 25d call IV) / 2 - ATM IV\n # Measures tail risk pricing\n butterfly = ((put_25d[\"iv\"] + call_25d[\"iv\"]) / 2) - atm_iv if atm_call else None\n\n # Interpretation\n if skew_25d > 0.05:\n skew_signal = \"heavily bearish — puts very expensive\"\n elif skew_25d > 0.02:\n skew_signal = \"bearish — downside protection bid\"\n elif skew_25d > -0.02:\n skew_signal = \"neutral\"\n elif skew_25d > -0.05:\n skew_signal = \"bullish — calls bid over puts\"\n else:\n skew_signal = \"heavily bullish — call skew dominant\"\n\n return {\n \"status\": \"available\",\n \"expiry\": target_exp,\n \"skew_25d\": round(skew_25d * 100, 2), # as percentage points\n \"put_25d_iv\": round(put_25d[\"iv\"] * 100, 2),\n \"call_25d_iv\": round(call_25d[\"iv\"] * 100, 2),\n \"put_25d_strike\": put_25d[\"strike\"],\n \"call_25d_strike\": call_25d[\"strike\"],\n \"atm_iv\": round(atm_iv * 100, 2),\n \"butterfly\": round(butterfly * 100, 2) if butterfly is not None else None,\n \"signal\": skew_signal,\n \"source\": \"okx\",\n }\n\n\ndef okx_liquidation_proxy(inst_id: str) -> dict:\n \"\"\"Estimate liquidation pressure from L/S ratio movement.\n\n Uses the long/short ratio. Sharp swings suggest forced closures.\n \"\"\"\n ls = okx_long_short(inst_id)\n if ls.get(\"status\") != \"available\":\n return {\"status\": \"unavailable\"}\n\n long_r = safe_float(ls.get(\"long_ratio\"))\n short_r = safe_float(ls.get(\"short_ratio\"))\n ratio = safe_float(ls.get(\"long_short_ratio\"))\n\n # Simple heuristic from current L/S snapshot\n if long_r == 0 and short_r == 0:\n return {\"status\": \"unavailable\"}\n\n long_pct = round(long_r * 100, 1) if long_r else 50.0\n\n if long_pct > 55:\n pressure = \"moderate — crowded long, liquidation risk above\"\n bias = \"shorts under pressure\"\n elif long_pct \u003c 45:\n pressure = \"moderate — crowded short, squeeze risk\"\n bias = \"longs under pressure\"\n else:\n pressure = \"low — orderly market\"\n bias = \"balanced\"\n\n return {\n \"status\": \"available\",\n \"latest_ls_ratio\": round(ratio, 4) if ratio else None,\n \"pressure\": pressure,\n \"bias\": bias,\n \"long_pct\": long_pct,\n \"source\": \"okx-cli\",\n }\n\n\n# ═══════════════════════════════════════════════════════════════════\n# MACRO / SENTIMENT (token-independent)\n# ═══════════════════════════════════════════════════════════════════\n\ndef fear_greed() -> dict:\n \"\"\"Fear & Greed Index.\"\"\"\n data = fetch(\"https://api.alternative.me/fng/?limit=7\")\n if is_error(data):\n return {\"status\": \"unavailable\"}\n items = data.get(\"data\", [])\n if not items:\n return {\"status\": \"unavailable\"}\n current = items[0]\n value = int(current.get(\"value\", 0))\n classification = current.get(\"value_classification\", \"Unknown\")\n\n # 7-day trend\n values = [int(i.get(\"value\", 0)) for i in items]\n if len(values) >= 2:\n recent = sum(values[:3]) / min(3, len(values))\n older = sum(values[3:]) / max(len(values) - 3, 1)\n trend = \"improving\" if recent > older + 3 else \"deteriorating\" if recent \u003c older - 3 else \"flat\"\n else:\n trend = \"unknown\"\n\n return {\n \"status\": \"available\",\n \"value\": value,\n \"classification\": classification,\n \"trend_7d\": trend,\n \"history_7d\": [{\"value\": int(i.get(\"value\", 0)), \"label\": i.get(\"value_classification\", \"\"),\n \"date\": i.get(\"timestamp\", \"\")} for i in items],\n \"source\": \"alternative.me\",\n }\n\n\ndef coingecko_global() -> dict:\n \"\"\"Global market data from CoinGecko.\"\"\"\n data = fetch(\"https://api.coingecko.com/api/v3/global\", timeout=15)\n if is_error(data):\n return {\"status\": \"unavailable\"}\n gd = data.get(\"data\", {})\n if not gd:\n return {\"status\": \"unavailable\"}\n return {\n \"status\": \"available\",\n \"btc_dominance\": round(gd.get(\"market_cap_percentage\", {}).get(\"btc\", 0), 2),\n \"eth_dominance\": round(gd.get(\"market_cap_percentage\", {}).get(\"eth\", 0), 2),\n \"total_market_cap_usd\": gd.get(\"total_market_cap\", {}).get(\"usd\", 0),\n \"total_volume_24h_usd\": gd.get(\"total_volume\", {}).get(\"usd\", 0),\n \"market_cap_change_24h_pct\": round(gd.get(\"market_cap_change_percentage_24h_usd\", 0), 2),\n \"source\": \"coingecko\",\n }\n\n\ndef stablecoin_data() -> dict:\n \"\"\"Stablecoin market cap from DefiLlama.\"\"\"\n data = fetch(\"https://stablecoins.llama.fi/stablecoins?includePrices=true\", timeout=15)\n if is_error(data):\n return {\"status\": \"unavailable\"}\n coins = data.get(\"peggedAssets\", [])\n total_mcap = 0\n top_stables = []\n for c in coins[:5]:\n chains = c.get(\"chainCirculating\", {})\n mcap = sum(v.get(\"current\", {}).get(\"peggedUSD\", 0) for v in chains.values()) if chains else 0\n if mcap == 0:\n mcap = c.get(\"circulating\", {}).get(\"peggedUSD\", 0)\n total_mcap += mcap\n top_stables.append({\"name\": c.get(\"name\", \"\"), \"symbol\": c.get(\"symbol\", \"\"), \"mcap\": round(mcap)})\n return {\n \"status\": \"available\",\n \"total_stablecoin_mcap\": round(total_mcap),\n \"top_stablecoins\": top_stables,\n \"source\": \"defillama\",\n }\n\n\n# ═══════════════════════════════════════════════════════════════════\n# ONCHAINOS — ON-CHAIN DEX / SMART MONEY DATA\n# ═══════════════════════════════════════════════════════════════════\n\nONCHAINOS_CLI = os.environ.get(\"ONCHAINOS_CLI_PATH\", os.path.expanduser(\"~/.local/bin/onchainos\"))\n\n\ndef _onchainos(args: list[str], timeout: int = 15) -> dict | list | None:\n \"\"\"Run onchainos CLI and return parsed JSON output.\n OnchainOS outputs JSON by default — no extra flags needed.\"\"\"\n cmd = [ONCHAINOS_CLI] + args\n try:\n result = subprocess.run(cmd, capture_output=True, text=True, timeout=timeout)\n if result.returncode != 0:\n return None\n return json.loads(result.stdout)\n except (subprocess.TimeoutExpired, json.JSONDecodeError, FileNotFoundError):\n return None\n\n\ndef onchain_smart_money_signals(chains: list[str] = None) -> dict:\n \"\"\"Aggregate smart money + whale buy/sell signals across chains.\n\n Uses onchainos signal list for each chain, aggregates into\n net buy/sell pressure and top movers.\n \"\"\"\n if chains is None:\n chains = [\"ethereum\", \"solana\", \"base\"]\n\n all_signals = []\n for chain in chains:\n data = _onchainos([\n \"signal\", \"list\", \"--chain\", chain,\n \"--wallet-type\", \"1,3\", # smart money + whales\n \"--min-amount-usd\", \"10000\",\n ])\n if data and isinstance(data, dict):\n items = data.get(\"data\", [])\n for s in items:\n tok = s.get(\"token\", {})\n sold_pct = safe_float(s.get(\"soldRatioPercent\"))\n amount = safe_float(s.get(\"amountUsd\"))\n all_signals.append({\n \"chain\": chain,\n \"symbol\": tok.get(\"symbol\", \"?\"),\n \"amount_usd\": amount,\n \"action\": \"sell\" if sold_pct > 50 else \"buy\",\n \"wallet_type\": \"smart_money\" if s.get(\"walletType\") == \"1\" else \"whale\",\n \"wallet_count\": int(s.get(\"triggerWalletCount\", 0)),\n \"mcap\": safe_float(tok.get(\"marketCapUsd\")),\n })\n\n if not all_signals:\n return {\"status\": \"unavailable\"}\n\n # Aggregate net flow\n buy_vol = sum(s[\"amount_usd\"] for s in all_signals if s[\"action\"] == \"buy\")\n sell_vol = sum(s[\"amount_usd\"] for s in all_signals if s[\"action\"] == \"sell\")\n net_flow = buy_vol - sell_vol\n buy_count = sum(1 for s in all_signals if s[\"action\"] == \"buy\")\n sell_count = sum(1 for s in all_signals if s[\"action\"] == \"sell\")\n\n # Top 5 by amount\n top_signals = sorted(all_signals, key=lambda x: -x[\"amount_usd\"])[:5]\n\n if buy_vol + sell_vol > 0:\n buy_pct = round(buy_vol / (buy_vol + sell_vol) * 100, 1)\n else:\n buy_pct = 50.0\n\n return {\n \"status\": \"available\",\n \"total_signals\": len(all_signals),\n \"buy_count\": buy_count,\n \"sell_count\": sell_count,\n \"buy_volume_usd\": round(buy_vol, 2),\n \"sell_volume_usd\": round(sell_vol, 2),\n \"net_flow_usd\": round(net_flow, 2),\n \"buy_pct\": buy_pct,\n \"sentiment\": (\n \"strong buying\" if buy_pct > 65\n else \"buying\" if buy_pct > 55\n else \"strong selling\" if buy_pct \u003c 35\n else \"selling\" if buy_pct \u003c 45\n else \"balanced\"\n ),\n \"top_signals\": [{\n \"chain\": s[\"chain\"],\n \"symbol\": s[\"symbol\"],\n \"action\": s[\"action\"],\n \"amount_usd\": round(s[\"amount_usd\"], 0),\n \"wallet_type\": s[\"wallet_type\"],\n \"wallets\": s[\"wallet_count\"],\n } for s in top_signals],\n \"chains_scanned\": chains,\n \"source\": \"onchainos\",\n }\n\n\ndef onchain_hot_tokens() -> dict:\n \"\"\"Get trending tokens across chains from OnchainOS.\n\n Returns top tokens by DEX volume (24h) with mcap > $10M.\n Shows what's hot on-chain vs what's hot on CEX.\n \"\"\"\n data = _onchainos([\n \"token\", \"hot-tokens\",\n \"--rank-by\", \"5\", # sort by volume\n \"--time-frame\", \"4\", # 24h\n \"--market-cap-min\", \"10000000\", # >$10M mcap\n ])\n if not data or not isinstance(data, dict):\n return {\"status\": \"unavailable\"}\n\n items = data.get(\"data\", [])\n if not items:\n return {\"status\": \"unavailable\"}\n\n chain_map = {\"1\": \"ETH\", \"56\": \"BSC\", \"501\": \"SOL\", \"8453\": \"BASE\", \"42161\": \"ARB\", \"137\": \"MATIC\"}\n tokens = []\n for t in items[:12]:\n chain_id = t.get(\"chainIndex\", \"\")\n tokens.append({\n \"symbol\": t.get(\"tokenSymbol\", \"?\"),\n \"chain\": chain_map.get(chain_id, f\"chain:{chain_id}\"),\n \"price\": safe_float(t.get(\"price\")),\n \"change_24h_pct\": safe_float(t.get(\"change\")),\n \"volume_24h\": safe_float(t.get(\"volume\")),\n \"mcap\": safe_float(t.get(\"marketCap\")),\n \"liquidity\": safe_float(t.get(\"liquidity\")),\n \"txs_24h\": int(t.get(\"txs\", 0)),\n \"unique_traders\": int(t.get(\"uniqueTraders\", 0)),\n \"net_inflow_usd\": safe_float(t.get(\"inflowUsd\")),\n })\n\n # Aggregate stats\n total_vol = sum(t[\"volume_24h\"] for t in tokens)\n net_inflow = sum(t[\"net_inflow_usd\"] for t in tokens)\n chains_active = list(set(t[\"chain\"] for t in tokens))\n\n return {\n \"status\": \"available\",\n \"top_tokens\": tokens,\n \"total_dex_volume_24h\": round(total_vol, 0),\n \"net_inflow_usd\": round(net_inflow, 0),\n \"chains_active\": sorted(chains_active),\n \"token_count\": len(tokens),\n \"source\": \"onchainos\",\n }\n\n\n# ═══════════════════════════════════════════════════════════════════\n# PER-TOKEN AGGREGATOR (OKX CeFi CLI primary)\n# ═══════════════════════════════════════════════════════════════════\n\ndef analyze_token(symbol: str) -> dict:\n \"\"\"Fetch all available indicators for a token via OKX CeFi CLI.\n\n Uses concurrent CLI calls for speed.\n \"\"\"\n token = TOKEN_MAP.get(symbol.upper())\n if not token:\n return {\"symbol\": symbol, \"error\": f\"Unknown token. Supported: {', '.join(sorted(TOKEN_MAP.keys()))}\"}\n\n result = {\n \"symbol\": symbol.upper(),\n \"tier\": token[\"tier\"],\n \"timestamp\": datetime.now(timezone.utc).isoformat(),\n \"derivatives\": {},\n \"market_structure\": {},\n }\n\n swap_id = token[\"okx_swap\"]\n spot_id = token[\"okx_spot\"]\n ccy = symbol.upper()\n\n # ── Parallel CLI calls for speed ──\n futures = {}\n with ThreadPoolExecutor(max_workers=8) as pool:\n futures[\"ticker\"] = pool.submit(okx_ticker, spot_id)\n futures[\"candles_vol\"] = pool.submit(okx_candle_history, spot_id, \"1H\", 24)\n futures[\"funding\"] = pool.submit(okx_funding, swap_id)\n futures[\"funding_hist\"] = pool.submit(okx_funding_history, swap_id, 6)\n futures[\"oi\"] = pool.submit(okx_open_interest, swap_id)\n futures[\"oi_hist\"] = pool.submit(okx_oi_history, swap_id)\n futures[\"long_short\"] = pool.submit(okx_long_short, swap_id)\n futures[\"taker\"] = pool.submit(okx_taker_volume, ccy)\n futures[\"basis\"] = pool.submit(okx_futures_basis, swap_id, spot_id)\n futures[\"options\"] = pool.submit(okx_options_summary, token[\"okx_family\"])\n\n # ── Collect results ──\n result[\"market_structure\"][\"ticker_24h\"] = futures[\"ticker\"].result()\n closes = futures[\"candles_vol\"].result()\n result[\"market_structure\"][\"realized_vol\"] = compute_realized_volatility(closes)\n result[\"derivatives\"][\"funding\"] = futures[\"funding\"].result()\n result[\"derivatives\"][\"funding_history\"] = futures[\"funding_hist\"].result()\n result[\"derivatives\"][\"open_interest\"] = futures[\"oi\"].result()\n result[\"derivatives\"][\"oi_history\"] = futures[\"oi_hist\"].result()\n result[\"market_structure\"][\"long_short\"] = futures[\"long_short\"].result()\n result[\"market_structure\"][\"taker_volume\"] = futures[\"taker\"].result()\n result[\"derivatives\"][\"basis\"] = futures[\"basis\"].result()\n result[\"derivatives\"][\"options\"] = futures[\"options\"].result()\n\n # ── Liquidation proxy (from L/S data) ──\n result[\"market_structure\"][\"liquidations\"] = okx_liquidation_proxy(swap_id)\n\n # ── MVRV + Realized Price (BTC/ETH only — CoinMetrics) ──\n spot_price = (result[\"market_structure\"].get(\"ticker_24h\") or {}).get(\"price\", 0)\n if ccy in (\"BTC\", \"ETH\"):\n result[\"on_chain\"] = {\"mvrv\": coinmetrics_mvrv(ccy, spot_price)}\n\n # ── Gamma Wall + Skew (direct HTTP — complex option chain computation) ──\n if token[\"okx_family\"]:\n result[\"derivatives\"][\"gamma_wall\"] = okx_gamma_wall(token[\"okx_family\"], spot_price)\n result[\"derivatives\"][\"skew\"] = okx_skew(token[\"okx_family\"])\n\n return result\n\n\n# ═══════════════════════════════════════════════════════════════════\n# MAIN\n# ═══════════════════════════════════════════════════════════════════\n\ndef main():\n tokens = sys.argv[1:] if len(sys.argv) > 1 else [\"BTC\"]\n if tokens == [\"--all\"]:\n tokens = sorted(TOKEN_MAP.keys())\n\n output = {\n \"generated_at\": datetime.now(timezone.utc).isoformat(),\n \"version\": \"3.0\",\n \"data_priority\": \"OKX CeFi CLI primary, HTTP for options chain + external macro\",\n \"tokens\": {},\n \"macro\": {},\n }\n\n # Macro (token-independent)\n print(\"Fetching macro data...\", file=sys.stderr)\n output[\"macro\"][\"fear_greed\"] = fear_greed()\n output[\"macro\"][\"global\"] = coingecko_global()\n output[\"macro\"][\"stablecoins\"] = stablecoin_data()\n\n # Per-token\n for t in tokens:\n t = t.upper()\n print(f\"Fetching {t} (OKX CeFi CLI)...\", file=sys.stderr)\n output[\"tokens\"][t] = analyze_token(t)\n time.sleep(0.1)\n\n # Summary\n available = 0\n unavailable = 0\n for t_data in output[\"tokens\"].values():\n for section in [\"derivatives\", \"market_structure\", \"on_chain\"]:\n for k, v in t_data.get(section, {}).items():\n if isinstance(v, dict):\n if v.get(\"status\") == \"available\":\n available += 1\n elif v.get(\"status\") == \"unavailable\":\n unavailable += 1\n for k, v in output[\"macro\"].items():\n if isinstance(v, dict):\n if v.get(\"status\") == \"available\":\n available += 1\n elif v.get(\"status\") == \"unavailable\":\n unavailable += 1\n\n output[\"_summary\"] = {\n \"indicators_available\": available,\n \"indicators_unavailable\": unavailable,\n \"coverage_pct\": round(available / max(available + unavailable, 1) * 100, 1),\n }\n\n print(json.dumps(output, indent=2))\n\n\nif __name__ == \"__main__\":\n main()\n","content_type":"text/x-python; charset=utf-8","language":"python","size":51323,"content_sha256":"93f4ff43f375a64252533a14e191bfed0997074f814c8d64fdaa3cb2b879e14c"},{"filename":"SKILL_SUMMARY.md","content":"# market-structure-analyzer -- Skill Summary\n\n## Overview\nMarket Structure Analyzer v3.0 is a crypto research agent that fetches, analyzes, and presents 24+ institutional-grade indicators across derivatives, options, on-chain, smart money flows, DEX activity, and macro sentiment. Powered by OKX CeFi CLI + OnchainOS CLI + direct HTTP for options chain. Includes a live auto-refreshing dashboard with K-line charts, TA overlays (RSI, MACD, Bollinger Bands), and a 12-signal composite scoring engine.\n\n## Usage\n\n### Live Dashboard (recommended)\n```bash\npython3 msa_server.py\n# Opens http://localhost:8420\n```\nAuto-refreshing SPA with candlestick charts (TradingView Lightweight Charts v4), timeframe selector (5m/15m/1H/4H/1D), token selector (BTC/ETH/SOL + 7 more), composite signal score, and all indicator panels.\n\n### CLI-Only Mode\n```bash\npython3 scripts/fetch_market_data.py BTC ETH SOL 2>/dev/null\n```\nOutputs JSON to stdout. Backward compatible with v2.x.\n\n## Commands\n| Command | Description |\n|---|---|\n| `python3 msa_server.py` | Start live dashboard on port 8420 |\n| `python3 scripts/fetch_market_data.py BTC` | Fetch all indicators for BTC (JSON) |\n| `python3 scripts/fetch_market_data.py BTC ETH SOL` | Multi-token fetch |\n| Dune query 6988944-6988949 | Optional: ETH CEX flows, whale transfers, stablecoin flows |\n\n## Triggers\nActivates when the user mentions market structure, derivatives analysis, gamma wall, options skew, funding rates, open interest, MVRV, smart money signals, whale tracking, fear and greed, macro overview, is the market overleveraged, is BTC about to move, what does the market look like, CEX inflows/outflows, stablecoin flows, composite score, DEX hot tokens.\n","content_type":"text/markdown; charset=utf-8","language":"markdown","size":1701,"content_sha256":"15f1d6714783df472ecc07cf504cb16a5c64ac3e91666c37b89a8785d56d4aa2"},{"filename":"SUMMARY.md","content":"# market-structure-analyzer\n\n## Overview\n\nCrypto market-structure research agent with 24+ indicators across derivatives, options (gamma wall, skew), on-chain (MVRV, smart money, DEX hot tokens), and macro sentiment. Live auto-refreshing dashboard with K-line candlestick charts, TA overlays, and 12-signal composite scoring.\n\nCore operations:\n\n- Fetch and analyze derivatives positioning (funding, OI, basis, long/short)\n- Display options flow data (gamma wall, 25-delta skew, ATM IV, butterfly)\n- Track on-chain metrics (MVRV, smart money signals, DEX hot tokens)\n- Compute composite score from 12 weighted signals (-100 to +100)\n- Render live K-line charts with RSI, MACD, Bollinger Bands overlays\n\nTags: `derivatives` `options` `on-chain` `market-structure` `mvrv` `smart-money` `live-dashboard`\n\n## Prerequisites\n\n- Python 3.8+ (stdlib only, no pip dependencies)\n- OKX CeFi CLI installed (`npm install -g @okx_ai/okx-trade-cli`) — no API key needed\n- OnchainOS CLI (`onchainos`) at `~/.local/bin/onchainos` — for smart money signals and DEX hot tokens\n\n## Quick Start\n\n1. **Start the live dashboard**: Run `python3 msa_server.py` from the skill directory. The dashboard opens at `http://localhost:8420` with auto-refreshing charts and indicators.\n\n2. **Select token and timeframe**: Click token buttons (BTC, ETH, SOL, etc.) and timeframe buttons (5m, 15m, 1H, 4H, 1D) to switch the chart and indicator panels.\n\n3. **Read the composite score**: The header shows a score from -100 to +100 (BULLISH / NEUTRAL / BEARISH) computed from 12 weighted signals including funding rate, OI delta, RSI, MACD, Fear & Greed, and smart money flow.\n\n4. **CLI-only mode** (optional): Run `python3 scripts/fetch_market_data.py BTC ETH SOL` to get raw JSON output without the dashboard.\n","content_type":"text/markdown; charset=utf-8","language":"markdown","size":1776,"content_sha256":"34b47ad26aa6652db25598af1e6046ed3c2eb8a49a84734afb35ac325f31ded8"}],"content_json":{"type":"doc","content":[{"type":"heading","attrs":{"level":1},"content":[{"text":"Market Structure Analyzer v3.0","type":"text"}]},{"type":"paragraph","content":[{"text":"You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers:","type":"text"}]},{"type":"ordered_list","attrs":{"order":1,"listStyle":"number"},"content":[{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"OKX CeFi CLI","type":"text","marks":[{"type":"strong"}]},{"text":" (","type":"text"},{"text":"okx market","type":"text","marks":[{"type":"code_inline"}]},{"text":") — primary source for all CEX derivatives + price data","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"OnchainOS CLI","type":"text","marks":[{"type":"strong"}]},{"text":" (","type":"text"},{"text":"onchainos","type":"text","marks":[{"type":"code_inline"}]},{"text":") — on-chain smart money signals + DEX hot tokens","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Direct HTTP","type":"text","marks":[{"type":"strong"}]},{"text":" — options chain (gamma wall, skew) + external macro APIs","type":"text"}]}]}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Quick Start","type":"text"}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"1. Determine Scope","type":"text"}]},{"type":"bullet_list","content":[{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Which tokens?","type":"text","marks":[{"type":"strong"}]},{"text":" Default to BTC if unspecified. Always include BTC as baseline.","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Which categories?","type":"text","marks":[{"type":"strong"}]},{"text":" Default to all. User might only want derivatives or macro.","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"How deep?","type":"text","marks":[{"type":"strong"}]},{"text":" Quick scan (chat only) or full report (chat + live dashboard).","type":"text"}]}]}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"2. 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Powered by OKX CeFi CLI + OnchainOS + direct HTTP for options chain.\n\nUse this skill whenever the user asks about: derivatives data, gamma wall, options skew, funding rates, open interest, put/call ratio, MVRV, cost basis, realized price, exchange flows, CEX inflows/outflows, liquidation pressure, whale tracking, smart money flows, fear/greed index, BTC dominance, stablecoin flows, taker volume, basis/backwardation, or any request like \"what does the market structure look like\", \"give me a macro overview\", \"how are derivatives positioned\", \"is the market overleveraged\", \"should I be bullish or bearish based on data\", \"are whales accumulating or distributing\", \"show me exchange flows\". Also trigger when users mention specific tokens and want deeper analysis beyond simple price action — e.g., \"what's going on with ETH right now\", \"is BTC about to move\", \"analyze SOL market conditions\".\n"}},"renderedAt":1782987775283}

Market Structure Analyzer v3.0 You are a crypto market-structure research agent. Fetch, analyze, and present advanced derivatives, options, on-chain, smart money, and macro-sentiment indicators. Data flows through three layers: 1. OKX CeFi CLI ( ) — primary source for all CEX derivatives + price data 2. OnchainOS CLI ( ) — on-chain smart money signals + DEX hot tokens 3. Direct HTTP — options chain (gamma wall, skew) + external macro APIs Quick Start 1. Determine Scope Which tokens? Default to BTC if unspecified. Always include BTC as baseline. Which categories? Default to all. User might onl…