Master mean reversion trading by buying dips in quality stocks and selling when they return to average. Learn when prices bounce back, how to use Bollinger Bands and RSI, and how to manage risk in range-bound markets.
Philosophy: "What goes down must come up" - Mean reversion strategies bet that extreme price moves are temporary and prices will return to their average.
Mean reversion is based on the statistical principle that prices oscillate around an average (mean) and tend to return to that average over time. When a stock drops sharply below its average, it's likely to bounce back - that's your opportunity.
Enter when multiple oversold conditions align:
Price touches or breaks below the lower Bollinger Band (typically 2 standard deviations from 20-day moving average). This indicates extreme oversold conditions.
Example:
AAPL 20-day average is $180. Lower band at $174 (2 std dev). Price drops to $173 (-3.9% below average) - oversold setup.
RSI drops below 30, confirming momentum has swung too far negative. The spring is coiled for a bounce.
Why this matters:
RSI below 30 means sellers exhausted. Smart money starts accumulating at these levels, setting up the bounce.
Stock must be fundamentally sound (not in long-term downtrend). Check that 50-day MA is not far below 200-day MA.
Critical filter:
Mean reversion fails in downtrends. Only buy dips in stocks with solid fundamentals and neutral-to-bullish longer-term trends.
Combined signal: Price below lower BB (statistical extreme) + RSI < 30 (oversold) + Quality stock (bounce likely) = High-probability mean reversion setup
Exit when price returns to average or risk limits hit:
When price returns to 20-day MA (middle Bollinger Band), reversion complete. Take profit. Typical gain: 3-5%.
If price reaches upper band (overbought extreme), definitely exit. Maximal reversion achieved. Typical gain: 5-8%.
Price continues down 3-4% below entry. Setup failed - stock might be breaking down. Cut loss. Typical loss: 3-4%.
If no bounce after 5-7 days, exit at market. Stock may be in new range - free up capital for better setups.
Customize for different volatility environments:
| Parameter | Default | Low Volatility | High Volatility |
|---|---|---|---|
| BB Period | 20 | 30 | 10 |
| BB Std Dev | 2.0 | 1.5 | 2.5 |
| RSI Period | 14 | 21 | 9 |
| RSI Oversold | 30 | 35 | 25 |
| Stop Loss | -3% | -2% | -5% |
| Take Profit | +4% | +3% | +6% |
| Time Stop | 7 days | 5 days | 10 days |
Mean reversion works on temporary dips in good stocks, not permanent declines in bad stocks. Check fundamentals before buying dips.
If stock continues down after entry, buy more (average down) - but only if fundamentals intact and volume confirms bounce.
Don't get greedy. When price returns to middle BB (mean), that's your signal. Book the profit and find the next setup.
If no bounce after 5-7 days, exit. Your capital is better used elsewhere. Dead money kills returns.
Run 5-10 mean reversion positions simultaneously. If 6/10 bounce, you're profitable even with 4 losses.
ENTRY - Day 1
Buy 50 shares @ $380.00
HOLDING - Days 2-4
Price consolidates around $380-382 as oversold works off
EXIT SIGNAL - Day 5
Sell 50 shares @ $391.50
Why this worked: Quality stock (MSFT) had technical dip (no fundamental issue), oversold indicators aligned, and price reverted to average as expected. Textbook mean reversion setup.
Buying stocks in free-fall with bad news. Mean reversion doesn't work on fundamentally broken companies or bear markets.
Hoping stock will "eventually" bounce without protecting capital. Always use stops - some dips don't revert.
Not taking profit when price returns to average, hoping for more. Mean reversion = small consistent wins, not big scores.
Trying to catch bounces in downtrends. Mean reversion needs range-bound or bullish conditions to work consistently.
Test the mean reversion template on your target stocks
Fine-tune BB period and standard deviations for your stocks
Learn the opposite: catching explosive moves from consolidation
Practice the strategy with simulated money first
