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Explore trading strategies organized by market approach and conditions
Classic trend-following strategy using two moving averages to identify trend changes and generate entry/exit signals. Ideal for trending markets with clear directional moves.
// Moving Average Crossover Strategy
fast_ma = SMA(close, 20)
slow_ma = SMA(close, 50)
volume_avg = SMA(volume, 20)
// Entry Conditions
long_signal = crossover(fast_ma, slow_ma) AND volume > volume_avg * 1.5
short_signal = crossunder(fast_ma, slow_ma) AND volume > volume_avg * 1.5
// Position Management
if (long_signal and no_position) {
entry_price = close
stop_loss = entry_price * 0.95
take_profit = entry_price * 1.15
position_size = account_balance * 0.02 / (entry_price - stop_loss)
enter_long(position_size)
}
if (short_signal and no_position) {
entry_price = close
stop_loss = entry_price * 1.05
take_profit = entry_price * 0.85
position_size = account_balance * 0.02 / (stop_loss - entry_price)
enter_short(position_size)
}
// Exit Management
if (in_long_position) {
if (close <= stop_loss OR close >= take_profit OR crossunder(fast_ma, slow_ma)) {
close_position()
}
}
if (in_short_position) {
if (close >= stop_loss OR close <= take_profit OR crossover(fast_ma, slow_ma)) {
close_position()
}
}
Momentum-based trend strategy using MACD histogram and signal line crossovers to identify trend strength and optimal entry points with trend confirmation.
Identifies strong trends by trading breakouts from established trend channels with momentum confirmation and dynamic stop-loss management.
Comprehensive trend-following system using Ichimoku Kinko Hyo components including cloud analysis, Tenkan/Kijun crosses, and momentum confirmation for robust trend identification.
Profits from market extremes using RSI divergences and overbought/oversold conditions with confluence from support/resistance levels.
Exploits low volatility periods followed by explosive moves using Bollinger Band width and momentum indicators for precise timing.
Trades price deviations from Volume Weighted Average Price (VWAP) with statistical boundaries for high-probability mean reversion setups.
Classic oscillator-based mean reversion strategy using Stochastic %K and %D crossovers in extreme zones with divergence confirmation for high-probability reversals.
Captures momentum from key level breakouts using volume confirmation and failure rate analysis for high-probability breakout trades.
Trades breakouts from triangle consolidation patterns with volume analysis and false breakout filters for reliable trend continuation signals.
Exploits volatility expansion after consolidation periods using Average True Range and volume patterns for timing optimal breakout entries.
Day trading strategy that identifies and trades breakouts from the first 30-60 minutes of trading with volume and momentum confirmation for intraday momentum plays.
Exploits price gaps with statistical analysis of gap-fill probability and momentum continuation patterns for short-term high-probability trades.
Rides established momentum using relative strength analysis and momentum oscillators for trend continuation trades with optimal risk-reward ratios.
Captures momentum from earnings announcements and major news events using sentiment analysis and volatility prediction for event-driven trading.
Combines volume and price momentum to identify strong directional moves using Volume Price Trend indicator with confirmation from price action patterns.
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