Six strategies for every market
Each strategy is designed for specific market conditions. Run them together for diversified, all-weather performance that adapts as markets evolve.
RSI Mean Reversion
Fade the extremes
Profits from overextended price moves snapping back to their mean. Buys when RSI drops below the oversold threshold and sells when it climbs above overbought. Ideal for ranging, mean-reverting markets where prices oscillate around a fair value.
How it works
- 1Calculates RSI over a configurable lookback period (default: 7)
- 2Buys when RSI drops below the oversold threshold (default: 25)
- 3Sells when RSI rises above the overbought threshold (default: 75)
- 4Protects downside with a configurable stop-loss (default: 1.5%)
- 5Locks in profits with a take-profit target (default: 4.5%)
Best Conditions
- Sideways markets with clear support/resistance
- Post-news overreaction bounces
- High market maker activity environments
!Worst Conditions
- Strong trending markets
- Breakout conditions with expanding volatility
- Low liquidity environments
Performance Characteristics
Simulated Performance (30d)
Simulated results. Past performance does not guarantee future results.
Bollinger Band Bounce
Buy the band, sell the band
Buys when price touches or drops below the lower Bollinger Band and sells at the upper band. Uses statistical price envelopes to identify when an asset is trading at extremes relative to its recent range, timing entries for high-probability mean reversion.
How it works
- 1Calculates Bollinger Bands with configurable period and multiplier (default: 20-period, 2.5 SD)
- 2Buys when price touches or drops below the lower band
- 3Sells when price reaches or exceeds the upper band
- 4Protects with stop-loss below entry (default: 1.5%)
- 5Take-profit target captures the band-to-band move (default: 4%)
Best Conditions
- Markets oscillating within a clear range
- Stable volatility environments
- Post-crash recovery oscillation periods
!Worst Conditions
- Strong one-directional trends
- Expanding volatility with band widening
- Low-volume, holiday trading periods
Performance Characteristics
Simulated Performance (30d)
Simulated results. Past performance does not guarantee future results.
MACD Trend Crossover
Ride the momentum
Captures sustained directional moves by trading MACD histogram crossovers. Enters on bullish crossover when the histogram flips from negative to positive, and exits on bearish crossover. Best for trending markets with clear momentum shifts.
How it works
- 1Computes MACD from fast EMA (12), slow EMA (26), and signal line (9)
- 2Buys when MACD histogram crosses from negative to positive (bullish momentum shift)
- 3Sells when histogram crosses from positive to negative (bearish shift)
- 4Wider stop-loss accommodates trend volatility (default: 2%)
- 5Larger take-profit captures full trend moves (default: 6%)
Best Conditions
- Clear directional markets with strong momentum
- Post-breakout continuation moves
- Macro-driven trend environments
!Worst Conditions
- Choppy, range-bound markets
- Low-volume, indecisive periods
- Whipsaw conditions with rapid reversals
Performance Characteristics
Simulated Performance (30d)
Simulated results. Past performance does not guarantee future results.
RSI + Bollinger Confluence
Double confirmation entries
High-conviction entries requiring both RSI oversold AND price at the lower Bollinger Band simultaneously. By demanding two independent signals agree, this strategy filters out false signals and only enters the highest-probability reversal setups.
How it works
- 1Monitors RSI and Bollinger Bands simultaneously
- 2Buys only when RSI is below oversold (20) AND price is at/below the lower band
- 3Sells when EITHER RSI exceeds overbought (75) OR price hits the upper band
- 4Dual-confirmation dramatically reduces false entries
- 5Tight stop-loss (1.5%) since entries are high-conviction
Best Conditions
- Volatile markets with sharp dips and recoveries
- Markets with both RSI and price at extremes simultaneously
- Post-liquidation cascade bounces
!Worst Conditions
- Sustained downtrends where oversold stays oversold
- Low-volatility drift markets
- Thin order book environments
Performance Characteristics
Simulated Performance (30d)
Simulated results. Past performance does not guarantee future results.
Volume Spike Reversal
Detect capitulation
Detects market capitulation by identifying moments when RSI is oversold AND volume spikes significantly above the moving average. These conditions often signal institutional activity or panic selling, which historically precede sharp reversals.
How it works
- 1Monitors RSI for oversold conditions (default: below 25)
- 2Simultaneously tracks volume relative to its moving average (default: 20-period)
- 3Buys when RSI is oversold AND volume spikes above 2x the average volume
- 4Sells when RSI recovers past the overbought threshold (default: 75)
- 5Volume confirmation filters out weak signals and false oversold readings
Best Conditions
- Sharp sell-offs with abnormally high volume
- News-driven panic with institutional accumulation
- Flash crashes with rapid recovery potential
!Worst Conditions
- Gradual downtrends with declining volume
- Low-volume environments with no clear spikes
- Sustained bear markets without capitulation events
Performance Characteristics
Simulated Performance (30d)
Simulated results. Past performance does not guarantee future results.
ATR Volatility Breakout
Catch explosive moves
Catches explosive price moves by buying when price breaks above an ATR-defined volatility band above the EMA. Identifies momentum breakouts from low-volatility ranges and rides them with wider stops to accommodate trend volatility.
How it works
- 1Calculates ATR (14-period) and EMA (20-period) to define a breakout level
- 2Breakout level = EMA + ATR x multiplier (default: 1.5x)
- 3Buys when price breaks above the breakout level for the first time
- 4Sells when price drops back below the EMA (trend exhaustion)
- 5Wider stop-loss (2.5%) and take-profit (7%) for trend accommodation
Best Conditions
- Markets forming clear consolidation patterns
- Before major economic events or announcements
- After periods of unusually low volatility
!Worst Conditions
- Highly volatile, directionless markets
- False breakout environments
- Low-volume, holiday trading periods
Performance Characteristics
Simulated Performance (30d)
Simulated results. Past performance does not guarantee future results.
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