50+ Algorithmic Trading
Strategies to Master

Simple Moving Average Crossover

The foundation of trend-following strategies. Buy when the short-term SMA crosses above the long-term SMA (golden cross), sell when it crosses below (death cross). Uses 20-day and 50-day moving averages by default.

Exponential Moving Average Crossover

Similar to SMA but uses exponential moving averages that give more weight to recent prices. Reacts faster to price changes, making it better for shorter timeframes. Common setup: EMA 12 and EMA 26.

Relative Strength Index Mean Reversion

RSI measures momentum on a 0–100 scale. Buy when RSI drops below 30 (oversold — price may bounce), sell when RSI rises above 70 (overbought — price may pull back). A classic mean reversion strategy.

Moving Average Convergence Divergence

MACD is one of the most popular indicators in trading. Buy when the MACD line crosses above the signal line (bullish momentum), sell when it crosses below. Uses the standard 12-26-9 configuration.

Bollinger Bands Mean Reversion

Bollinger Bands create a channel around price using standard deviations. Buy when price touches the lower band (potential support), sell when price touches the upper band (potential resistance). Works best in range-bound markets.

RSI and MACD Dual Confirmation

Combines RSI momentum with MACD trend signals. Only takes trades when both indicators agree: RSI must be oversold AND MACD must show a bullish crossover for buy signals. Reduces false signals significantly.

Bollinger Bands with RSI Filter

Uses Bollinger Bands for entry signals but filters with RSI to avoid false bounces. Only buys at the lower band when RSI confirms oversold conditions. Improves win rate over plain Bollinger Bands.

Stochastic %K/%D Crossover

The Stochastic oscillator compares closing price to the price range over a period. Buy when %K crosses above %D in the oversold zone (below 20), sell when %K crosses below %D in the overbought zone (above 80).

Donchian Channel Breakout (Turtle Trading)

Made famous by the Turtle Traders. Buy when price breaks above the 20-day high, sell when it breaks below the 20-day low. One of the most historically successful trend-following strategies.

Average True Range Volatility Strategy

Uses ATR to set dynamic stop-losses that adapt to market volatility. In volatile markets, stops are wider; in calm markets, stops are tighter. Prevents getting stopped out by normal price noise.

Volume Profile Support/Resistance

Identifies high-volume price levels where significant trading has occurred. These levels act as support and resistance. Buy at high-volume support zones, sell at high-volume resistance zones.

Keltner Channel Trend Strategy

Similar to Bollinger Bands but uses ATR instead of standard deviation for the channel width. Buy when price closes above the upper channel (strong uptrend), sell when it closes below the lower channel.

Parabolic Stop-and-Reverse

A trend-following indicator that places dots above or below price. When dots flip from above to below price, it signals a bullish reversal (buy). When dots flip from below to above, it signals a bearish reversal (sell).

Ichimoku Kinko Hyo Complete System

A comprehensive trading system in one indicator. Uses five lines (Tenkan, Kijun, Senkou A, Senkou B, Chikou) to identify trend direction, momentum, and support/resistance. Buy when price is above the cloud with Tenkan above Kijun.

Multi-MA Ribbon Trend Strength

Uses 6–8 moving averages of different periods to visualize trend strength. When all MAs are aligned and expanding, the trend is strong. When they converge, the trend is weakening. Trade in the direction of the ribbon.

Z-Score Mean Reversion with Risk Controls

Calculates the statistical Z-score of price deviation from its mean. Buy when Z-score drops below -2 (price is 2 standard deviations below average), sell when it rises above +2. Includes position sizing based on deviation magnitude.

Pivot Points Day Trading Strategy

Calculates daily pivot points (support S1/S2/S3 and resistance R1/R2/R3) from previous day's high, low, and close. Buy at support levels with tight stops, sell at resistance levels. Widely used by institutional day traders.

Opening Gap Fade Strategy

Identifies stocks that gap up or down at market open. Gaps above 2% are faded (traded in the opposite direction), expecting price to fill the gap during the trading day. Includes volume confirmation and time-based exits.

Volume-Confirmed Breakout Strategy

Identifies price breakouts above resistance with strong volume confirmation. Only enters when volume is at least 1.5x the 20-day average, confirming institutional participation. Uses ATR for stop-loss placement.

ML Chart Pattern Recognition

Uses a trained machine learning model to identify chart patterns like head-and-shoulders, double tops/bottoms, triangles, and flags. Generates buy/sell signals based on pattern completion with confidence scores.

Multi-Factor AI Trade Signals

Combines price action, volume, momentum, and volatility data into a machine learning model that generates directional trade signals. Each signal includes a confidence percentage and suggested position size.

AI Sentiment and Technical Fusion

Merges quantitative technical indicator data with AI-processed market sentiment from news and social media. Trades only when both technical and sentiment signals align, reducing the impact of misleading headlines.