Algorithmic Trading Strategies — What Retail Can Implement
Retail algorithmic traders can realistically deploy: trend-following (moving-average crossovers with filters), mean-reversion on liquid pairs, pairs trading (statistical arbitrage between correlated assets), and momentum strategies on ranked universes. Strategies requiring sub-millisecond execution (HFT, market-making) are out of reach for retail.
Retail algorithmic traders can realistically deploy: trend-following (moving-average crossovers with filters), mean-reversion on liquid pairs, pairs trading (statistical arbitrage between correlated assets), and momentum strategies on ranked universes. Strategies requiring sub-millisecond execution (HFT, market-making) are out of reach for retail.
Trend-following at retail scale
This section covers trend-following at retail scale. For the practical framework, see our Quant Trading hub and our blog for related analyses. Read on for context-specific guidance.
Pairs trading basics
This section covers pairs trading basics. For the practical framework, see our Quant Trading hub and our blog for related analyses. Read on for context-specific guidance.
Mean reversion strategies
This section covers mean reversion strategies. For the practical framework, see our Quant Trading hub and our blog for related analyses. Read on for context-specific guidance.
Momentum ranking strategies
This section covers momentum ranking strategies. For the practical framework, see our Quant Trading hub and our blog for related analyses. Read on for context-specific guidance.