Trading robot · MT5

SP2L

by farsosta-jpg

This MetaTrader 5 expert advisor executes trades based on price action and momentum patterns, specifically identifying strong candles relative to their recent average range.

GitHub stars1
Forks0
Last update3 months ago24 Jun 2026
LicenceNone stated

Overview

The logic incorporates Fair Value Gap (FVG) detection and moving averages to filter entries. It includes automated risk management with percentage-based lot sizing, ATR-based stop loss calculation, and a break-even function that activates at a predefined risk-reward ratio. The system also supports trailing stops for trade management. The repository provides the source code but lacks documentation.

Details

Author

farsosta-jpg on GitHub

Type

Trading robot

Platform

MetaTrader 5 (MQL5)

Strategy

SMC / ICT / price action, Trend following

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.

EA files

Input parameters

Read from SP2L 1.5 %.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
RiskPercentdouble1.5
MA_Periodint20
ATR_Periodint10
ATR_MultSLdouble1.5
BreakEven_RRdouble0.6
UseTrailingbooltrue

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone farsosta-jpg/sp2l 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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