Trading robot · MT5

SnD SnR Scalping

by Adirach08

This MetaTrader 5 expert advisor executes trades based on supply and demand zones combined with support and resistance levels.

High risk

GitHub stars2
Forks3
Last update1 year ago1 Aug 2025
LicenceNone stated

Overview

SnD SnR Scalping performs multi-timeframe analysis across H1 and M5 charts to identify entry points. The robot utilizes price action patterns like double tops and head-and-shoulders for confirmation. Risk is managed through a fixed stop loss and take profit, alongside a controlled layering system that places additional orders at set distances. It includes a trading session timer and an automatic closure feature for positions that remain floating beyond a specified duration.

Details

Author

Adirach08 on GitHub

Type

Trading robot

Platform

MetaTrader 5 (MQL5)

Strategy

SMC / ICT / price action, Scalping, Grid

Markets

Forex

Timeframes

M1-M5, M15-H1

Risk profile

  • Opens a grid of orders: exposure builds up in a trend

Input parameters

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

NameTypeDefaultDescription
LotInitialdouble0.11
LotLayerdouble0.08
SL_Pipsint30
TP_Pipsint50
MaxLayerint3
LayerDistance_Pipsint10
MagicNumberint123456
MaxFloatingMinint30

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone Adirach08/EA-SupplyDemand-Scalping 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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