This is a mean reversion strategy that assumes stock prices will return to their historical average after extreme moves. We use Bollinger Bands to identify when an asset is overbought or oversold: • If the price drops below the lower Bollinger Band, it’s considered oversold, and we buy (expecting a rebound). • If the price rises above the upper Bollinger Band, it’s considered overbought, and we sell (expecting a pullback).
2. Indicators Used • 20-day Moving Average (MA20): Represents the mean price over 20 days. • Upper Band: MA20 + 2 standard deviations (defines overbought conditions). • Lower Band: MA20 - 2 standard deviations (defines oversold conditions).
3. Trading Rules • Buy when the price drops below the lower Bollinger Band (oversold). • Sell when the price rises above the upper Bollinger Band (overbought). • Exit the position when the price returns to the moving average (mean reversion).
4. Example Scenario 1. The stock price falls sharply below the lower Bollinger Band → Buy signal. 2. The price gradually moves back toward the 20-day moving average → Exit (take profit). 3. If the price breaks above the upper Bollinger Band → Sell signal. 4. The price moves back down to the mean → Exit short position.
5. Strengths of This Strategy
✅ Systematic approach (eliminates emotions). ✅ Works well in sideways (range-bound) markets where prices oscillate around a mean. ✅ Simple and easy to implement with minimal parameters.
6. Weaknesses & Risks
⚠️ Doesn’t work well in strong trends (if the price keeps falling, a buy might be too early). ⚠️ False signals can occur in volatile markets. ⚠️ Needs proper risk management (stop-loss placement is crucial).
Would you like to backtest this strategy to see how profitable it is over time?
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