Algorithmic Trading Overview Build, backtest, and deploy algorithmic trading strategies. Cover market data ingestion, strategy development, backtesting with realistic assumptions, risk management, and live execution. Instructions Architecture Data pipeline For real-time data, use WebSocket feeds (ccxt.pro): Strategy development Common types : Momentum/trend following (MAs, RSI, MACD), mean reversion (z-scores, Bollinger Bands), statistical arbitrage (pairs trading, cross-exchange), market making (spread capture). Backtesting A backtest must model real conditions — fees, slippage, and stop-los…