100 trading strategies

 list of 100 trading strategies, grouped by type and each briefly summarized for clarity. This will give you a broad overview of how traders approach markets across different conditions.


๐Ÿ“ˆ Trend-Following Strategies

  1. Moving Average Crossover – Buy when short MA crosses above long MA.
  2. Dual Moving Average – Uses two MAs to confirm entry/exit.
  3. Triple Moving Average – Adds a third MA for stronger signals.
  4. MACD Crossover – Momentum-based MA system.
  5. SuperTrend Strategy – Follows trend using ATR and price.
  6. ADX Trend Strategy – Uses Average Directional Index to confirm trend strength.
  7. Turtle Trading – Classic breakout and trend-following method.
  8. Donchian Channel Breakout – Enters when price breaks 20-day high/low.
  9. Parabolic SAR – Indicator-based trend following system.
  10. Heikin Ashi Trend Strategy – Uses smoothed candlesticks to ride trends.

๐Ÿ’ฅ Momentum Strategies

  1. RSI with Moving Average – Combines RSI signals with MA trend.
  2. Relative Strength Strategy – Buy top-performing stocks/sectors.
  3. Price Momentum – Buy assets with fastest recent returns.
  4. 52-Week High Breakout – Momentum traders buy breakouts of yearly highs.
  5. Volume Spike Strategy – High volume signals momentum.
  6. Rate of Change (ROC) – Measures price speed/direction.
  7. Stochastic Momentum Strategy – Uses stochastic oscillator for entry/exit.
  8. MACD Histogram Acceleration – Tracks momentum acceleration.
  9. Elder Impulse System – Combines EMA, MACD, and color-coding.
  10. Ichimoku Kinko Hyo – Full momentum/trend visualization system.

๐Ÿ”„ Mean Reversion Strategies

  1. RSI Oversold/Overbought – Trades reversal after extreme RSI levels.
  2. Bollinger Band Reversion – Buy low band, sell high band.
  3. Keltner Channel Reversion – Similar to Bollinger but with ATR.
  4. Z-score Strategy – Uses statistical standard deviations to revert to mean.
  5. Moving Average Pullback – Entry near mean after strong trend.
  6. Envelope Channel Strategy – Price deviation from MA triggers trades.
  7. Gap Fill Strategy – Assumes price fills morning gaps.
  8. VWAP Reversion – Trades when price deviates from VWAP.
  9. Mean Reverting ETF Pair – Trade two correlated ETFs.
  10. ADX Range Reversion – Uses low ADX to detect range-bound conditions.

๐Ÿ“Š Breakout Strategies

  1. Opening Range Breakout – Uses first 30–60 minutes to set range.
  2. NR7 Strategy – Trades after smallest range day in 7 days.
  3. Inside Bar Breakout – Uses bar within previous candle range.
  4. High Tight Flag – Continuation breakout pattern.
  5. Cup and Handle Breakout – Bullish technical chart pattern.
  6. Flat Base Breakout – Breakout from sideways price action.
  7. Breakout with Volume Confirmation – Needs volume spike on breakout.
  8. ATR Expansion Strategy – Looks for expansion after low volatility.
  9. Flag and Pennant Breakout – Momentum-based continuation patterns.
  10. Resistance Break Strategy – Enter on multi-day resistance break.

๐Ÿ” Reversal Strategies

  1. Hammer Candle Reversal – Bullish reversal candle pattern.
  2. Engulfing Pattern Reversal – Candle engulfing previous trend bar.
  3. Double Top/Bottom Reversal – Classic reversal pattern.
  4. Head and Shoulders Reversal – Trend exhaustion chart pattern.
  5. MACD Divergence Reversal – Divergence between price and indicator.
  6. Stochastic Crossover at Extremes – Signals potential reversals.
  7. Volume Climax Reversal – Sudden volume burst at trend end.
  8. Parabolic Reversal – Trades against unsustainable moves.
  9. Fibonacci Retracement Reversal – Key levels for reversal detection.
  10. Doji Star Reversal – Candlestick signal of possible reversal.

๐Ÿง  Quantitative/Statistical Strategies

  1. Pairs Trading – Mean reversion between correlated assets.
  2. Cointegration Strategy – Advanced version of pairs trading.
  3. Kalman Filter Pairs Trading – Dynamic hedge ratio.
  4. Granger Causality – Predicts based on causality.
  5. Machine Learning Regression – Uses ML to forecast returns.
  6. Random Forest Classifier – ML model to predict price direction.
  7. KNN Clustering Strategy – Finds similar market conditions.
  8. Neural Network Forecasting – Deep learning for signal generation.
  9. Reinforcement Learning Agent – AI learns optimal trades.
  10. Hidden Markov Model Trading – Models market regime shifts.

๐Ÿงฎ Technical Indicator Combinations

  1. MACD + RSI Strategy
  2. Bollinger + Stochastic Strategy
  3. EMA + ATR Strategy
  4. ADX + CCI Strategy
  5. Ichimoku + RSI Combo
  6. EMA Ribbon Crossover
  7. SuperTrend + Volume Strategy
  8. Parabolic SAR + MACD
  9. Trendlines + RSI
  10. Multi-Timeframe RSI Strategy

๐Ÿ“‰ Short Selling Strategies

  1. Short Weak Breakout
  2. Short Overbought RSI
  3. Bear Flag Breakdown
  4. Shooting Star Candle
  5. Failed Breakout Fade
  6. Volume Divergence Short
  7. Gap Up Reversal
  8. Double Top Breakdown
  9. MACD Bearish Crossover Short
  10. Trendline Break Short

๐Ÿ“… Event-Based Strategies

  1. Earnings Drift Strategy – Trade post-earnings momentum.
  2. Pre-Earnings IV Play – Options-based implied volatility strategy.
  3. Dividend Capture – Buy before ex-dividend, sell after.
  4. FOMC Reaction Trade – Trade Federal Reserve news.
  5. Budget Announcement Strategy (India)
  6. IPO Reversal Strategy
  7. Merger Arbitrage – Buy target, short acquirer.
  8. News Sentiment Analysis – NLP-based headline trading.
  9. Index Rebalancing Strategy
  10. Stock Split Reaction Strategy

⚙️ Automated & Systematic Strategies

  1. Grid Trading System – Automated buy/sell at fixed intervals.
  2. Martingale System – Increase trade size after a loss.
  3. Anti-Martingale – Increase after wins, reduce after losses.
  4. Time-Based Scalping Bot
  5. Bracket Order Bot Strategy
  6. VWAP-Based Algo
  7. Volume Profile Strategy
  8. Liquidity-Based Strategy
  9. Options Writing Bot (Iron Condor)
  10. AI-Driven Multi-Asset Strategy

Comments

  1. Let me know which trading strategy interests you the most — I’ll explain it with Python code.

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