Top 5 Algo Trading Strategies Every Beginner Must Learn in 2025
Ankita Das · Nov 19, 2025
A quick practical tour of five algo strategies that are accessible for beginners. Each strategy has pros, cons, typical timeframe, and execution considerations — perfect to test in paper trading.
1. Trend Following
Uses moving averages, breakouts, or momentum to follow established trends.
Best for trending markets; requires patience during drawdowns.
2. Mean Reversion
Targets temporary price deviations from a mean or channel.
Works well in range-bound markets; beware of strong trending regimes.
3. Scalping / High Frequency
Many small trades capturing tiny profits; needs low latency and very tight risk controls.
Higher transaction costs — test carefully.
4. Arbitrage & Market-Making
Exploit price inefficiencies across venues or instruments.
Complex to implement and often requires connectivity to multiple venues.
5. Statistical / Pairs Trading
Trade divergence between historically correlated instruments.
Rely on mean reversion of the spread; robust risk management required.
Implementation Tips
Start simple, backtest carefully, include transaction costs and slippage in simulations.
Use paper trading to refine parameters before going live.
About the author:
Ankita Das is a trader and educator focused on algorithmic systems and quantitative strategies.