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.
๐ Trend-Following Strategies
- Moving Average Crossover – Buy when short MA crosses
above long MA.
- Dual Moving Average – Uses two MAs to confirm
entry/exit.
- Triple Moving Average – Adds a third MA for
stronger signals.
- MACD Crossover – Momentum-based MA system.
- SuperTrend Strategy – Follows trend using ATR
and price.
- ADX Trend Strategy – Uses Average Directional
Index to confirm trend strength.
- Turtle Trading – Classic breakout and
trend-following method.
- Donchian Channel Breakout – Enters when price breaks
20-day high/low.
- Parabolic SAR – Indicator-based trend
following system.
- Heikin Ashi Trend Strategy – Uses smoothed
candlesticks to ride trends.
๐ฅ Momentum Strategies
- RSI with Moving Average – Combines RSI signals with
MA trend.
- Relative Strength Strategy – Buy top-performing
stocks/sectors.
- Price Momentum – Buy assets with fastest
recent returns.
- 52-Week High Breakout – Momentum traders buy
breakouts of yearly highs.
- Volume Spike Strategy – High volume signals
momentum.
- Rate of Change (ROC) – Measures price
speed/direction.
- Stochastic Momentum Strategy – Uses stochastic
oscillator for entry/exit.
- MACD Histogram Acceleration – Tracks momentum
acceleration.
- Elder Impulse System – Combines EMA, MACD, and
color-coding.
- Ichimoku Kinko Hyo – Full momentum/trend
visualization system.
๐ Mean Reversion Strategies
- RSI Oversold/Overbought – Trades reversal after
extreme RSI levels.
- Bollinger Band Reversion – Buy low band, sell high
band.
- Keltner Channel Reversion – Similar to Bollinger but
with ATR.
- Z-score Strategy – Uses statistical standard
deviations to revert to mean.
- Moving Average Pullback – Entry near mean after
strong trend.
- Envelope Channel Strategy – Price deviation from MA
triggers trades.
- Gap Fill Strategy – Assumes price fills
morning gaps.
- VWAP Reversion – Trades when price
deviates from VWAP.
- Mean Reverting ETF Pair – Trade two correlated
ETFs.
- ADX Range Reversion – Uses low ADX to detect
range-bound conditions.
๐ Breakout Strategies
- Opening Range Breakout – Uses first 30–60 minutes
to set range.
- NR7 Strategy – Trades after smallest
range day in 7 days.
- Inside Bar Breakout – Uses bar within previous
candle range.
- High Tight Flag – Continuation breakout
pattern.
- Cup and Handle Breakout – Bullish technical chart
pattern.
- Flat Base Breakout – Breakout from sideways
price action.
- Breakout with Volume
Confirmation –
Needs volume spike on breakout.
- ATR Expansion Strategy – Looks for expansion after
low volatility.
- Flag and Pennant Breakout – Momentum-based
continuation patterns.
- Resistance Break Strategy – Enter on multi-day
resistance break.
๐ Reversal Strategies
- Hammer Candle Reversal – Bullish reversal candle
pattern.
- Engulfing Pattern Reversal – Candle engulfing previous
trend bar.
- Double Top/Bottom Reversal – Classic reversal pattern.
- Head and Shoulders Reversal – Trend exhaustion chart
pattern.
- MACD Divergence Reversal – Divergence between price
and indicator.
- Stochastic Crossover at
Extremes –
Signals potential reversals.
- Volume Climax Reversal – Sudden volume burst at
trend end.
- Parabolic Reversal – Trades against
unsustainable moves.
- Fibonacci Retracement
Reversal –
Key levels for reversal detection.
- Doji Star Reversal – Candlestick signal of
possible reversal.
๐ง Quantitative/Statistical Strategies
- Pairs Trading – Mean reversion between
correlated assets.
- Cointegration Strategy – Advanced version of pairs
trading.
- Kalman Filter Pairs Trading – Dynamic hedge ratio.
- Granger Causality – Predicts based on
causality.
- Machine Learning Regression – Uses ML to forecast
returns.
- Random Forest Classifier – ML model to predict price
direction.
- KNN Clustering Strategy – Finds similar market
conditions.
- Neural Network Forecasting – Deep learning for signal
generation.
- Reinforcement Learning Agent – AI learns optimal trades.
- Hidden Markov Model Trading – Models market regime
shifts.
๐งฎ Technical Indicator Combinations
- MACD + RSI Strategy
- Bollinger + Stochastic
Strategy
- EMA + ATR Strategy
- ADX + CCI Strategy
- Ichimoku + RSI Combo
- EMA Ribbon Crossover
- SuperTrend + Volume Strategy
- Parabolic SAR + MACD
- Trendlines + RSI
- Multi-Timeframe RSI Strategy
๐ Short Selling Strategies
- Short Weak Breakout
- Short Overbought RSI
- Bear Flag Breakdown
- Shooting Star Candle
- Failed Breakout Fade
- Volume Divergence Short
- Gap Up Reversal
- Double Top Breakdown
- MACD Bearish Crossover Short
- Trendline Break Short
๐
Event-Based Strategies
- Earnings Drift Strategy – Trade post-earnings
momentum.
- Pre-Earnings IV Play – Options-based implied
volatility strategy.
- Dividend Capture – Buy before ex-dividend,
sell after.
- FOMC Reaction Trade – Trade Federal Reserve
news.
- Budget Announcement Strategy
(India)
- IPO Reversal Strategy
- Merger Arbitrage – Buy target, short
acquirer.
- News Sentiment Analysis – NLP-based headline
trading.
- Index Rebalancing Strategy
- Stock Split Reaction
Strategy
⚙️ Automated & Systematic
Strategies
- Grid Trading System – Automated buy/sell at
fixed intervals.
- Martingale System – Increase trade size after
a loss.
- Anti-Martingale – Increase after wins,
reduce after losses.
- Time-Based Scalping Bot
- Bracket Order Bot Strategy
- VWAP-Based Algo
- Volume Profile Strategy
- Liquidity-Based Strategy
- Options Writing Bot (Iron Condor)
- AI-Driven Multi-Asset Strategy
Let me know which trading strategy interests you the most — I’ll explain it with Python code.
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