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Trading Strategies Explained

Proven approaches to the markets — and how AI tools enhance each one

Every successful trader operates from a defined strategy — a repeatable set of rules for when to enter, when to exit, how much to risk, and what market conditions favour the approach. The strategies below have been used profitably for decades. What's changed is the tooling: AI platforms now automate the pattern recognition, signal generation, and backtesting that used to require years of screen time and manual analysis. Understanding the strategy comes first; the tools accelerate execution.

Classic Strategies

Classic

The Turtle Trading Strategy

The legendary experiment that proved trading can be taught. Richard Dennis's mechanical trend-following system used Donchian channel breakouts, strict position sizing, and pyramiding rules — and turned $400 into $175 million in four years.

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Classic

Trend Following

The oldest and most studied edge in markets. Trend following captures large directional moves by entering after a trend is confirmed and riding it until reversal — cutting losses short and letting winners run.

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Active Trading Strategies

Active

Momentum Trading

Buy assets that are rising, sell assets that are falling. Momentum exploits the empirical tendency of recent winners to keep winning over 3–12 month horizons — one of the most robust anomalies in financial research.

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Active

Breakout Trading

Enter when price breaks through a defined level of support or resistance. Breakout trading captures the explosive moves that occur when consolidation patterns resolve — targeting the first leg of a new trend.

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Active

Mean Reversion

Buy when prices overshoot to the downside, sell when they overshoot to the upside. Mean reversion strategies profit from the statistical tendency of stretched prices to snap back toward their average.

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Which Strategy Fits Your Style?

Strategy Timeframe Win Rate Best For AI Tool Match
Turtle Trading Weeks–Months ~35–40% Patient systematic traders TrendSpider
Trend Following Days–Months ~35–45% Swing and position traders TrendSpider, Trade Ideas
Momentum Days–Weeks ~50–55% Active traders, rotational investors Danelfin, Trade Ideas
Breakout Intraday–Days ~40–50% Day traders, swing traders TrendSpider, Trade Ideas
Mean Reversion Intraday–Days ~60–70% Statistical traders, pairs traders Trade Ideas, Kavout
Important: Win rate alone doesn't determine profitability. Trend following systems win only 35–40% of the time but are profitable because winning trades are much larger than losing ones. Mean reversion wins more often but with smaller average gains. What matters is the expectancy: (win rate × average win) minus (loss rate × average loss). Always evaluate a strategy on expectancy, not win rate alone.

Ready to test a strategy?

Browse our AI tool reviews to find the right platform for backtesting and executing your chosen approach.

Browse Trading Tools

Disclaimer: This content is for educational purposes only and does not constitute financial advice. All trading involves risk. Past performance of any strategy is not indicative of future results. Always conduct your own research before making investment decisions.