Anti-Breakout Strategy
Mar 25, 2021

The Anti-Breakout Strategy indicator is a contrarian trading tool designed to identify and capitalize on false breakouts by entering positions in the opposite direction of the initial move. It provides a systematic approach to mean-reversion by using historical high/low levels as triggers for counter-trend entries.
Usage
The Anti-Breakout Strategy can be used to identify potential reversal points when price exceeds a recent range but fails to sustain momentum.
- Contrarian Entry: When the price breaks above a recent high (defined by the Lag setting) and the conditions are met, the script signals a "Buy" (contrarian short entry logic) or "Sell" based on the mean-reversion premise.
- Signal Filtering: To improve accuracy, users can filter signals using Volume, Volatility (ATR-based), or both. This ensures that the strategy only triggers during specific market conditions.
- Time Threshold: The
Time Thresholdsetting allows users to filter signals based on the progress of the current bar, helping to avoid premature entries. - Exit Logic: The strategy includes a built-in holding period, automatically signaling the end of a trade after a set number of bars if a reversal signal hasn't already occurred.
Details
The strategy identifies a breakout when the selected price type (defaulting to Close) crosses over the highest high or under the lowest low of the lookback period (Lag). Instead of following the breakout, the script assumes the move is exhaustive.
The implementation includes a "Doji" detection feature, marked with an '✖' on the chart, to highlight indecision candles which often precede the reversals targeted by this strategy. To minimize the effects of repainting or premature signals, users are encouraged to experiment with the "Price Type" setting, such as using OHL3.
Settings
Core Settings
- Price Type: Selects the price source for calculations (Open, High, Low, Close, HL2, OC2, OHL3, HLC3, OHLC4).
- Lag: Sets the lookback period used to determine the highest highs and lowest lows.
- Time Threshold (%): Filters signals based on how much of the bar's time has elapsed.
- Filter Signals by: Choose between Volatility (ATR), Volume, Both, or None to qualify entries.
Filter & Period Settings
- Min/Max ATR Lag: Adjusts the sensitivity of the volatility filter.
- Volume Level: Sets the threshold for the Relative Strength Index (RSI) of volume to confirm moves.
- Holding Period: Determines how many bars a trade is held before an automated exit signal.
Visuals & Simulation
- Draw Channel?: Toggles the visibility of the high/low breakout boundaries.
- Doji Size: Adjusts the sensitivity for identifying Doji candlesticks.
- Performance: Displays a dashboard with cumulative return, win rate, and trade count.
- Lot Size: Sets the hypothetical position size for performance tracking.
- Use Base Price?: Toggles between using a calculated base price (Average of OHL) or the Open price for trade simulation.
FAQ
How do I access the Anti-Breakout Strategy?
You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.
What is the best Price Type to use to avoid repainting?
While the default is 'Close', setting the Price Type to 'OHL3' can help provide more stable calculations in real-time environments.
Can I use this for trend following?
No, this specific strategy is built as a contrarian (mean-reversion) tool, meaning it bets against the direction of the immediate breakout.
Trading & investing are risky and many will lose money in connection with trading and investing activities. All content on this site is not intended to, and should not be, construed as financial advice. Decisions to buy, sell, hold or trade in securities, commodities and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results.
Hypothetical or Simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, including, but not limited to, lack of liquidity. Simulated trading programs in general are designed with the benefit of hindsight, and are based on historical information. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.
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