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Plain-language explanations of how rule-based trading works, how to test it honestly and how to control its risk. Educational only, never advice.
Algo trading means a computer places orders by written rules. Learn how it works, what it needs, where it goes wrong, and how to start by testing first.
Updated October 2026
A backtest is only useful if it is honest. Learn how fees, slippage, look-ahead bias and overfitting distort results, and how to read the metrics properly.
Updated October 2026
Backtesting uses the past; forward testing uses data the strategy has never seen. Learn what each tells you, where each fails, and why you need both.
Updated October 2026
Risk rules matter more than entry rules. Learn how stop-loss types, position sizing, daily loss limits and drawdown thresholds protect a rule-based strategy.
Updated October 2026
A multi-leg options strategy combines several options into one position with defined risk and reward. Learn how spreads, straddles and condors are built.
Updated October 2026
A black-box algo hides its logic; a transparent one shows every rule. Learn the practical risks of not knowing why your system trades, and what to check.
Updated October 2026