Trading Strategies
Discover powerful trading strategies with complete Pine Script and Python implementations.
Moving Average Crossover
A classic trend-following strategy using two moving averages to identify trend changes
RSI Strategy
Momentum oscillator strategy buying oversold and selling overbought conditions
Bollinger Bands
Volatility-based strategy using bands to identify mean reversion opportunities
MACD Strategy
Trend-following momentum indicator using MACD crossovers for entry signals
Stochastic Oscillator
Momentum indicator comparing closing price to price range over a given period
Ichimoku Cloud
Comprehensive trend-following system providing support/resistance, trend direction, and momentum signals
ADX Strategy
Trend strength indicator using ADX and Directional Index to measure momentum strength
ATR Trailing Stop
Volatility-based trend following strategy using dynamic ATR trailing stops
Supertrend Strategy
Trend reversal indicator combining ATR volatility bands with directional momentum
Parabolic SAR Strategy
Momentum-based trend reversal indicator using Parabolic SAR stop-and-reverse system
VWAP Strategy
Momentum trading using Volume Weighted Average Price to identify institutional flow
Donchian Channel Strategy
Volatility breakout system using highest high and lowest low channels for trend momentum
Keltner Channels Strategy
ATR-based volatility bands strategy for identifying momentum breakouts and trend strength
TRIX Strategy
Momentum oscillator using Triple Exponential Average to identify trend direction
Aroon Strategy
Trend strength and direction indicator using Aroon Up/Down crossovers to identify momentum shifts
CCI Strategy
Momentum oscillator using Commodity Channel Index to identify cyclical trends and mean reversion
Williams %R Strategy
Momentum oscillator using Williams Percent Range to identify overbought and oversold conditions