Real AI Trading Strategies That Actually Work
Production AI trading strategies are mostly variations on three themes: statistical arbitrage (finding price mispricings between related instruments), market-making (capturing spreads with risk management), and signal generation (rule-based or ML models that fire BUY/SELL signals). Retail traders can implement only the third — and only after extensive backtesting.
Production AI trading strategies are mostly variations on three themes: statistical arbitrage (finding price mispricings between related instruments), market-making (capturing spreads with risk management), and signal generation (rule-based or ML models that fire BUY/SELL signals). Retail traders can implement only the third — and only after extensive backtesting.
Three categories of AI strategies
This section covers three categories of ai strategies. For the practical framework, see our AI Trading hub and our blog for related analyses. Read on for context-specific guidance.
What works at retail scale
This section covers what works at retail scale. For the practical framework, see our AI Trading hub and our blog for related analyses. Read on for context-specific guidance.
How to develop your own AI strategy
This section covers how to develop your own ai strategy. For the practical framework, see our AI Trading hub and our blog for related analyses. Read on for context-specific guidance.
Backtesting gotchas that kill AI strategies
This section covers backtesting gotchas that kill ai strategies. For the practical framework, see our AI Trading hub and our blog for related analyses. Read on for context-specific guidance.