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Fingerprint Pattern Recognition

30 USD

Published: 8 January 2026

Current version: 1.0

Fingerprint Pattern Recognition

Utilities
Filip Dockal
Filip Dockal
Aether Lenses

Czech Republic

378
- https://aetherlenses.com
Version: 1.0
Activations: 20

Fingerprint Pattern Recognition

Non‑trading utility for MetaTrader 5.

Load a “fingerprint” CSV template (OHLC), scan historical charts for similar price action, and export every match to a results CSV for later analysis and labeling. Includes a secondary formation detector (classic chart patterns) as a bonus feature.

What this utility does

Fingerprint Pattern Recognition helps you build datasets of recurring price action:

- Fingerprint mode (primary):

Compares recent closed candles against a user‑provided template CSV (OHLC). When a match is found, the EA marks it on the chart and writes a row to a results CSV, including forward bars after the match (for outcome analysis).

- Formation library (secondary / bonus):

Detects a small set of common formations and draws clean annotations (pivots/levels + breakout candle marker).

Note: This is a helper feature. It’s not a perfect “AI chartist”; it is designed for fast, transparent rule‑based detection.

Does not trade.No orders are opened or managed.

Works on any symbol and timeframe.

Uses closed candles (stable signals; no repainting on the current forming bar).

Typical workflow (recommended)

1. Capture a fingerprint template using the companion “Fingerprint Capture Script”.

- The script exports a CSV template into the terminal’s Common Files folder.

2. Attach Fingerprint Pattern Recognition to a chart.

3. Select:

- Mode: Fingerprint Recognition (Primary)

- Template CSV: your fingerprint file

- Run Tag: name your dataset run (symbol / timeframe / experiment name)

4. Let it run in Strategy Tester. Every match is written to a results CSV (Common Files).

5. Analyze / label the exported matches:

- In Excel/Python, or

- In Patternica Desktop App (recommended, link in seller´s profile ).

Files and locations

- Template CSV input: written to /read from Common Files

- Results CSV output: written to Common Files

- This design makes it easy to run multiple terminals or multiple symbols/timeframes and keep files in one place.

What gets exported (results CSV)

Each match writes one row containing:

- A compact OHLC summary of the matched window

- The match score and flags

- OHLC for N forward candles after the match (N = Forward bars)

This is specifically designed for post‑analysis (win-rate, distribution, clustering, labeling, etc.).

Important notes / disclaimer

- This utility does not provide trading signals or profitability promises.

- Pattern matching is probabilistic by nature; results depend on market regime, symbol liquidity, spread, and the fingerprint template quality.

- Use for research, dataset building, and visual study.

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Liquidity Sweeper EA Liquidity Sweeper EA is a rule-based Expert Advisor for MetaTrader 5 that trades a clean, widely used Smart Money Concepts workflow: Detect market structure swings (HH/HL or LL/LH) Confirm a Break of Structure (BOS) using a candle close beyond the previous swing Wait for a liquidity sweep of the opposite swing level (SSL/BSL) Enter only after price sweeps and closes back inside , aligning with the BOS direction The EA is built with a performance-oriented engine (cached rates

99 USD

Double Edged Katana is a session-driven momentum EA built to cut through volatility with disciplined, rule-based execution. It deploys a two-sided entry approach to capture directional bursts, enforces strict daily limits ( max 2 trades/day ), and includes time-based cleanup to keep exposure controlled. Designed for traders who want a dynamic, automated approach without overtrading. Recommended setup Timeframe: M1 Symbols: USDJPY (recommended), also works on other liquid majors/minors Account: E

899 USD

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Fingerprint Pattern Recognition

Filip Dockal

Typical workflow (recommended)

Files and locations

What gets exported (results CSV)