18
Total
6
Simple
8
Moderate
4
Advanced
Technical Momentum 16
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Buy & Hold simple

Simple passive strategy: buy and hold until the end of the backtest period.

The Buy & Hold strategy is the simplest possible investment approach. On the first trading day, you invest your entire capital in the selected asset and hold it through the …
Best for: Long-term investors who believe in the fundamental value of the asset. Perfect as a benchmark to compare active strategies. Best …
Passive investing Long-term holding
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SMA Crossover simple

Buy when fast SMA crosses above slow SMA, sell on cross below.

The Simple Moving Average (SMA) Crossover strategy uses two moving averages of different periods to identify trend changes. The 'fast' SMA (typically 50 days) responds quickly to price changes, while …
Best for: Long-term trend following in strongly trending markets. Best suited for patient investors who can tolerate drawdowns and want to capture …
Moving averages Crossover signals
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RSI Mean Reversion simple

Buy when RSI oversold, sell when overbought.

The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and magnitude of recent price changes on a scale of 0 to 100. It compares the average …
Best for: Range-bound or mean-reverting markets. Works best for stocks that oscillate within a trading range rather than trending strongly in one …
RSI indicator Mean reversion
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MACD Signal simple

Buy when MACD crosses above signal, sell on cross below.

The Moving Average Convergence Divergence (MACD) indicator consists of three components: the MACD line (12-day EMA minus 26-day EMA), the signal line (9-day EMA of MACD), and the histogram (difference …
Best for: Trending markets with clear directional moves. Particularly effective for identifying the start of new trends and momentum shifts in medium-term …
MACD indicator Signal line crossover
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Bollinger Bands simple

Buy at lower band, sell at upper band with mean reversion.

Bollinger Bands consist of three lines: a middle band (20-day SMA) and upper/lower bands set at 2 standard deviations above and below. The bands expand when volatility increases and contract …
Best for: Range-bound markets with regular oscillations. Works best when price respects the bands as support/resistance. Avoid during strong trending periods or …
Bollinger Bands Volatility bands
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Mean Reversion moderate

Buy when price deviates below average, sell when above - betting prices return to mean.

Mean Reversion strategies assume that prices fluctuate around a central value and tend to return to that average over time. When prices deviate significantly below the moving average (typically 2 …
Best for: Range-bound or choppy markets. Works well for highly liquid, mean-reverting assets. Not suitable for assets in strong trends or high-growth …
Mean reversion Standard deviation bands
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Dual EMA Crossover moderate

Similar to SMA crossover but uses EMAs which respond faster to recent price changes.

The Dual EMA Crossover is similar to SMA Crossover but uses Exponential Moving Averages. EMAs give more weight to recent prices, making them more responsive to price changes than SMAs. …
Best for: Traders who want faster signals than SMA crossover. Works well in trending markets where you want to catch moves early.
Exponential moving averages Crossover signals
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Channel Breakout (Donchian) moderate

Trade breakouts from N-day high/low channels (Turtle Trading inspired).

The Donchian Channel Breakout (famous from Turtle Trading) buys when price exceeds the highest high of the past N days and sells when price falls below the lowest low. A …
Best for: Trend followers seeking a mechanical, rule-based system. Famous for working in commodities and currencies.
Donchian channels Breakout trading
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Williams %R moderate

Momentum oscillator similar to Stochastic - trades overbought/oversold conditions.

Williams %R measures where the current close is relative to the high-low range over N periods. It ranges from -100 to 0, with readings near 0 indicating overbought (close near …
Best for: Mean reversion traders in range-bound markets. Best combined with trend filters.
Williams %R indicator Momentum oscillator
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CCI (Commodity Channel Index) moderate

Identifies cyclical turns and extreme price conditions using typical price deviation.

CCI measures the current price level relative to an average price level over time. High positive values indicate the price is well above average (overbought), while low negative values indicate …
Best for: Identifying turning points in cyclical assets. Can be used for both trend-following (+/-100 breakouts) or mean reversion (extreme readings).
CCI indicator Cycle analysis
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Time-Series Momentum moderate

Trades based on an asset's own price momentum over a lookback period. If past returns are positive, go long expecting continuation; if negative, stay out or go short. Based on the academic finding that past winners tend to keep winning.

Time-Series Momentum (also called Trend Following) compares an asset's current price to its price N periods ago to determine momentum direction: 1. Calculate Return: (Current Price - Price N months …
Best for: Trend-following investors who believe past performance indicates future direction. Works well in markets with clear trends. Best combined with other …
Momentum indicator Trend following
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Stochastic Oscillator moderate

A momentum indicator that compares closing price to the high-low range over a period. Uses two lines (%K and %D) to generate buy signals when crossing up from oversold levels, and sell signals when crossing down from overbought levels.

The Stochastic Oscillator measures momentum by comparing closing price to the trading range: 1. %K Calculation: %K = (Close - Lowest Low) / (Highest High - Lowest Low) × 100 …
Best for: Trading range-bound markets where mean reversion is dominant. Best used in conjunction with trend analysis - trade stochastic signals only …
Stochastic oscillator Momentum
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ATR Breakout moderate

Enters positions when price breaks out of a trading range (above 20-day high or below 20-day low). Uses Average True Range (ATR) to set dynamic trailing stops that adapt to current volatility, locking in profits while allowing room for normal price swings.

This strategy combines breakout detection with volatility-adjusted risk management: 1. Breakout Detection: Monitor the highest high and lowest low over the breakout period (default 20 days) 2. Entry Signal: Enter …
Best for: Trend followers who want to capture large moves while managing risk systematically. Works best in markets that tend to trend …
ATR indicator Breakout detection Trailing stops
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Volatility Breakout advanced

Enter when price breaks out of recent volatility range, expecting momentum continuation.

Volatility Breakout strategies identify when price moves beyond its normal range, signaling potential trend initiation. Using ATR (Average True Range) to measure typical volatility, we enter when price breaks out …
Best for: Markets transitioning from consolidation to trending. Works well for momentum traders who can manage false breakouts.
Volatility analysis Breakout trading
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Trend Following advanced

Follow the trend using ADX to confirm trend strength before entering positions.

This strategy uses ADX (Average Directional Index) to measure trend strength and only takes positions when a strong trend is confirmed. The EMA determines trend direction: above EMA with high …
Best for: Patient trend followers who prioritize quality over quantity. Works well in assets with extended trending periods.
ADX indicator Trend confirmation
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Multi-Indicator Ensemble advanced

Combines signals from multiple technical indicators (RSI, MACD, Bollinger Bands, Stochastic) to reduce false signals. Only trades when a minimum number of indicators agree, providing higher-confidence entries.

This strategy requires consensus from multiple technical indicators before trading: 1. Signal Generation: Each indicator independently generates a signal: - Bullish (+1): Indicator suggests buying - Neutral (0): No clear …
Best for: Traders who want higher-confidence signals and are willing to trade less frequently. Ideal for those who've experienced too many false …
Indicator ensemble Walk-forward validation Signal weighting
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