Adaptive Price Action Engine
- Indicators
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Davit Beridze
Davit Beridze: Indicators That Think for Themselves
The most original indicators on the MQL5 Market. See for yourself. - Version: 1.1
- Updated: 6 November 2026
- Activations: 5
Adaptive Price Action Engine
Buy Indicator- Get EA Based on it for FREE.
Self-Optimizing Multi-Timeframe Trend & Candlestick Intelligence
Markets do not behave the same way all the time—and not every price-action pattern has the same value in every market regime.
Adaptive Price Action Engine is designed to adapt to changing market conditions by combining trend structure, multi-timeframe analysis, candlestick patterns, and statistical optimization into one analytical framework.
Two Adaptive Modes
Dual Alpha Trend Mode
Automatically searches for suitable Alpha Trend parameters across lower and higher timeframes, allowing the indicator to adapt its trend detection to recent market behavior.
Candlestick + Alpha Mode
Combines Alpha Trend market regimes with 22 bullish and bearish candlestick patterns. Instead of treating every pattern equally, the engine evaluates different pattern combinations and identifies configurations that have shown stronger historical statistical characteristics within the selected market environment.
Key Features
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Self-optimizing trend parameters
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Multi-timeframe market regime analysis
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22 bullish & bearish price-action patterns
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Thousands of possible pattern combinations statistically evaluated
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Higher-timeframe confirmation
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ATR-based adaptive TP/SL levels
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Optional time-based exits
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Multiple optimization objectives
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On-chart signals and performance metrics
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Designed to work with changing market conditions rather than relying on permanently fixed parameters
The Core Idea
The goal is not to predict the market with certainty.
The goal is to let historical market data determine which trend configurations and price-action patterns deserve attention under the current market regime.
Use Adaptive Price Action Engine as a standalone analytical tool or as part of your broader trading workflow.
Adaptive analysis.
Statistical selection.
Market context.


I backtested this indicator extensively before buying it, and what convinced me was that I couldn’t detect any signal or trade manipulation, something that’s unfortunately common these days. Not with this one. The tricky part is the self-optimizing feature. With any self-optimizing tool there’s a risk of over-optimization, so live trading will have to show how it really holds up. That said, the first few days on M5, M15 and H1 look very promising. The author is extremely responsive, even on weekends. He also provided an EA that makes backtesting and optimization much easier. That’s a very generous gesture and a clear sign of confidence in his product. I’ll update this review as live results come in.