Analogue Matcher AI Pattern Match Forecast
- Indicateurs
- Version: 1.0
- Activations: 10
What if you could see the future by studying the past?
Every market pattern has happened before. Analogue Matcher finds it — automatically.
Using advanced Pearson Correlation and Linear Regression analysis, Analogue Matcher scans thousands of historical bars to find the price pattern that most closely matches what the market is doing right now — then projects it forward as a visual price path on your chart.
No guessing, no manual chart comparison. Pure mathematical pattern recognition.
How it works
- The indicator calculates a Linear Regression slope for the current price window
- It scans the entire lookback history and finds historical windows with the most similar slope
- It separates matches into bull analogues (patterns that went up) and bear analogues (patterns that went down)
- It projects both paths forward on your chart, scaled to current price levels
- It gives each match a confidence score based on R² similarity — so you know how strong the match is
Two modes
- Dual Mode (recommended) — shows both the best bull analogue and the best bear analogue simultaneously. Compare both projected paths and trade the higher confidence direction.
- Single Mode — shows only the single best match regardless of direction. Clean and simple for traders who want one clear signal.
What makes this unique
Most indicators use lagging signals — moving averages, RSI, MACD. They tell you what already happened.
Analogue Matcher is different. It uses the mathematical similarity between the current market structure and historical patterns to project what is likely to happen next, based on what actually happened in similar conditions.
- Pearson Correlation (R²) scoring — only the most mathematically similar patterns are selected. No random matches.
- Slope Tolerance filter — you control how similar the historical slope must be to the current slope before it qualifies.
- Price-scaled projection — historical candles are scaled to current price levels so the projection is always relevant.
- Confidence % shown for every match — instantly see how strong the analogue is.
What you see on the chart
- Green candle path — bull analogue projection
- Red candle path — bear analogue projection
- Confidence score label on each path
- Bias indicator — which direction has higher confidence
- Clean info panel showing match details
Input parameters
Mode: Single Mode (best match only), Dual Mode (bull + bear simultaneously).
Projection Window: how many bars forward to project (default 50, recommended 30–100).
Lookback Period: how far back to search for matches (default 500 — more bars means better matches but slightly slower).
Slope Tolerance: how similar the slope must be (default 0.004 — lower means stricter matching with fewer but higher-quality analogues; higher means more matches with a wider search).
Colors: Bull path color (default green), Bear path color (default red), Transparency control.
How to use it
- Attach to any chart on any timeframe
- Switch to Dual Mode
- Wait for both bull and bear paths to appear
- Check which path has higher confidence %
- Use the higher confidence direction as your bias for the session
- Combine with your existing strategy for entry timing
Works on all assets
- Forex — all currency pairs
- Gold & Silver — XAUUSD, XAGUSD
- Crypto — BTCUSD, ETHUSD, and all coins
- Indices — US30, NAS100, SPX500
- Any instrument available on your broker
Works on all timeframes from M1 to Monthly.
Important note
Analogue Matcher is a forecasting tool based on historical pattern similarity. Past patterns do not guarantee future results. Always combine with proper risk management and your own analysis. No indicator can predict the market with 100% accuracy.
Platform
MetaTrader 5 only. Works as an indicator — does not place trades.
Built by Aurex
Analogue Matcher is part of the Aurex toolkit — professional trading tools built by active traders for serious market participants.
Also available from Aurex: Elliott Wave Detector Auto MTF Analysis, Aurex Trade Journa
