Systematic strategy design (educational)

Every algorithm encodes a hypothesis about how markets behave. These pages explain the major strategy families — what edge each assumes, when it works, how it fails, and the engineering it demands — so you can reason about design trade-offs. They teach concepts and mechanics, never specific trades or signals.

Strategy Design: Systematic strategies fall into a few conceptual families: trend-following and momentum (bet that moves persist), mean reversion (bet that extremes revert), breakout (bet that ranges resolve into moves), volatility strategies (trade the size of moves), and relative-value approaches like pairs trading and statistical arbitrage (trade the relationship between instruments). Each assumes a specific market inefficiency, carries characteristic risks, and requires disciplined backtesting and risk control.

Trend-Following Systems

Strategy family

Trend-following is a strategy family that assumes established price moves tend to persist, so the system aims to enter in the direction of an existin…

Mean Reversion Systems

Strategy family

Mean reversion is a strategy family that assumes prices which have moved far from a reference level tend to move back toward it, so the system fades …

Breakout Systems

Strategy family

A breakout system assumes that when price decisively escapes a well-defined range or level, a new directional move is beginning, so it enters in the …

Momentum Systems

Strategy family

Momentum is a strategy family that assumes assets which have outperformed recently tend to keep outperforming over a medium horizon, so the system ho…

Volatility Systems

Strategy family

Volatility systems trade the size of market moves rather than their direction, positioning for volatility to expand or contract based on the assumpti…

Statistical Arbitrage (Conceptual)

Strategy family

Statistical arbitrage is a market-neutral strategy family that combines a large number of small, statistically identified relative-value bets, relyin…

Market Making (Conceptual)

Strategy family

Market making is a strategy family that continuously quotes both a bid and an ask, aiming to earn the spread by buying at the bid and selling at the …

Pairs Trading (Conceptual)

Strategy family

Pairs trading is a relative-value strategy that trades the spread between two historically related instruments, going long one and short the other wh…

Portfolio Strategies

Strategy family

Portfolio strategies combine multiple individual strategies into a single book and decide how to allocate capital among them, aiming to diversify acr…

Frequently asked questions

What are the main types of algorithmic trading strategies?
The main conceptual families are trend following, momentum, mean reversion, breakout, volatility-based strategies, market making, pairs trading and statistical arbitrage, plus portfolio strategies that combine several. Each encodes a different assumption about market behaviour and has its own risk profile and data requirements.
Which trading strategy is best for beginners?
There is no universally best strategy — suitability depends on your capital, time, skills and risk tolerance. Educationally, trend-following and simple mean-reversion systems are the most studied and easiest to understand and backtest, which is why they are common learning starting points. This is not a recommendation to trade any of them.
Do algorithmic trading strategies stop working?
Yes — strategies can decay. An edge can be arbitraged away as others discover it, or disappear when the market regime changes (e.g. a trend strategy in a ranging market). This is why systematic traders monitor live performance, diversify across strategies, and re-validate assumptions rather than assuming a backtest holds forever.
Educational content only — not investment advice. See our Risk Disclosure.