Utility · MT5

Identical Candlestick Scanner

by reuniware

This MetaTrader 5 tool scans historical price data to identify candlesticks with identical characteristics to the most recently closed candle.

GitHub stars1
Forks0
Last update8 years ago19 Sep 2018
LicenceNone stated

Overview

Identical Candlestick Scanner functions as a pattern recognition utility for identifying Japanese Candlestick formations such as the Homing Pigeon and Marubozu across various timeframes. The expert operates using a timer-based scanning mechanism rather than standard tick processing. While the repository includes trading libraries, the core logic focuses on scanning and pattern identification for technical analysis or as a template for further development.

Details

Author

reuniware on GitHub

Type

Utility

Platform

MetaTrader 5 (MQL5)

Strategy

SMC / ICT / price action

Markets

Any symbol

Timeframes

Any timeframe

Risk profile

No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.

Input parameters

Read from HomingPigeon_Marubozu.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
scanPeriodint5

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone reuniware/Identical-Candlestick-Scanner from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
  3. 3Copy the filesCopy the .mq5 file into Experts.
  4. 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
  5. 5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.

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