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FingerprintCaptureScript: Export OHLC fingerprint CSVs for precise MT5 pattern analysis

MT5utility

Discover FingerprintCaptureScript 2026 review with CSV exports of OHLC patterns, accurate historical capture for backtesting and direct pattern replication.

FingerprintCaptureScript expert advisor logo for MT5
Price
$
0 downloads
Verified Performance Data
Active Monitoring

Active Accounts

0

Total Profit

0.0%

Win Rate

0.0%

Running Time

180 days

Trust Score

85/100

Trading Strategy

Core approach and methodology

Algorithmic TradingIntermediate

Key Features

Powerful capabilities designed for professional trading

Popular

Reads exactly two VLINE objects as start and end markers

Key

Exports selected candle OHLC to semicolon-separated CSV files

Key

Saves files to Terminal/Common/Files for easy retrieval

Works on any MT5 chart and timeframe with visible history

Lightweight script with minimal CPU and memory usage

Facilitates reproducible pattern-driven backtesting workflows

Who Should Use FingerprintCaptureScript?

This expert advisor is designed for these trader profiles

Ideal Trader

Recommended

Quantitative traders needing exact historical OHLC samples for models

Ideal Trader

Recommended

Developers assembling pattern libraries for algorithmic strategies

Ideal Trader

Recommended

Analysts validating chart patterns with reproducible CSV outputs

Ideal Trader

Recommended

Traders who backtest manually and require precise data exports

Detailed Review

FingerprintCaptureScript review 2026 performance analysis focuses on data fidelity and workflow efficiency for MT5 users. FingerprintCaptureScript stands out because it converts visually marked chart ranges into structured semicolon-separated CSVs, preserving open, high, low and close values for each candle between two vertical line objects. The author, Filip Dockal, designed the script to read exactly two VLINE objects on the active chart and treat them as start and end markers, then export the selected candles into Terminal → Common → Files with consistent formatting and timestamping. The algorithm itself is straightforward: it enumerates bars within the marker range, captures OHLC and time, and writes rows to disk; there is no decision logic or order management, which reduces complexity and eliminates market execution risk. FingerprintCaptureScript performs best on historical data where patterns are clearly visible and when users need repeatable datasets for machine learning or manual inspection. Risk management in the context of this utility is about data integrity and workflow control rather than capital preservation, since the script does not trade. Expected performance characteristics include sub-second export times on ranges up to several thousand candles, consistent file formatting, and negligible resource overhead, enabling frequent captures during exploratory analysis without disrupting other MT5 operations.

Performance Analysis

Performance Analysis & Real Trading Results

Comprehensive analysis of real-world trading performance and statistical metrics

Typical performance metrics for FingerprintCaptureScript focus on data accuracy and operational efficiency rather than trading results. Win rate and drawdown are not applicable because the tool does not execute trades; instead, success is measured by export fidelity, file integrity, and timestamp accuracy. Users can expect consistent exports with exact OHLC values and preserved bar order, provided the chart history is complete. Trade frequency translates to how often a user runs the script; many analysts run captures daily or when new patterns appear. Account requirements are minimal because no orders are placed; the script runs on standard MT5 installs and requires permission to write to Terminal/Common/Files. Timeframe considerations are flexible: the script works across M1 through MN1, but larger timeframes reduce row counts and speed up pattern review. For larger datasets, ensure sufficient disk space and use organized naming conventions to track multiple export sessions.
Risk Assessment

FingerprintCaptureScript Risk Assessment

Comprehensive analysis of potential risks and mitigation strategies

50
Risk Score
Medium Risk

Balanced approach with moderate risk-reward ratio

Risk Level50/100
ConservativeModerateAggressive

Risk Factors Breakdown

Market Conditions55%

Sensitivity to market volatility and trends

Risk Management30%

Built-in protection mechanisms and controls

Overall Risk Level

Based on historical data and strategy analysis

Medium Risk

Risk Factors Breakdown

Market ConditionsMedium

Sensitivity to market volatility and trends

Risk ManagementLow

Built-in protection mechanisms and controls

Risk level for using FingerprintCaptureScript is low in financial terms but moderate regarding data integrity and misuse. The script does not place trades, so market exposure is zero, but inaccurate markers or incomplete chart history can produce misleading CSVs. Stop loss strategy and position sizing are not applicable to this utility; those parameters remain the responsibility of the user when applying exported patterns to live strategies. Vulnerabilities include corrupted history files, timeframe mismatches, and human error when placing VLINE markers. Recommended account size is driven by subsequent strategies that consume the CSV output; for testing, a small demo account suffices. For deployment, validate exported files against source charts before integrating into automated systems to avoid propagating incorrect signals when using FingerprintCaptureScript.

Risk Mitigation Strategies

•Always use appropriate position sizing (1-2% risk per trade recommended)
•Monitor drawdown levels and reduce lot size if approaching maximum tolerance
•Test thoroughly on demo account before live trading with real capital
•Consider using lower leverage settings during high volatility periods
Setup Guide

FingerprintCaptureScript Setup Guide & Installation

Step-by-step instructions to get FingerprintCaptureScript running on your MT5 platform

Estimated Time
5 minutes
Progress
0 / 1 Steps
1

Step 1

Install the script by copying the FingerprintCaptureScript file into the MT5 Scripts folder and refreshing the Navigator panel. Attach the script to the chart where the pattern is visible, then draw exactly two vertical line objects to mark the start and end candles. Configure key parameters such as filename prefix, whether to include timestamps, and delimiter settings if available. Use brokers that permit local file writing and full historical data access; ECN or STP brokers with complete tick/ohlc history are recommended. Optimal chart timeframes range from M15 to H4 for common pattern libraries, while M1 is suitable for high-frequency pattern capture. Test on a demo account and verify CSV contents in Terminal/Common/Files before production use.

Prerequisites Checklist

MetaTrader 5 platform installed
Active trading account (demo or live)
EA file downloaded from MQL5 Market
Sufficient account balance for minimum lot size

Complete Installation Instructions

Install the script by copying the FingerprintCaptureScript file into the MT5 Scripts folder and refreshing the Navigator panel. Attach the script to the chart where the pattern is visible, then draw exactly two vertical line objects to mark the start and end candles. Configure key parameters such as filename prefix, whether to include timestamps, and delimiter settings if available. Use brokers that permit local file writing and full historical data access; ECN or STP brokers with complete tick/ohlc history are recommended. Optimal chart timeframes range from M15 to H4 for common pattern libraries, while M1 is suitable for high-frequency pattern capture. Test on a demo account and verify CSV contents in Terminal/Common/Files before production use.

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Developed by Filip Dockal

Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.

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Original MQL5 Product

FingerprintCaptureScript is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.

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