This repository provides a collection of MetaTrader 4 expert advisors and utility tools. It includes diverse trading strategies ranging from M1 scalping and Heiken Ashi trend following to swing-based approaches. The codebase features a robust trade management framework with classes for order execution, error handling,
Collection · MT4
Simple Forex Tools Collection
This MetaTrader 4 collection contains various expert advisors, including a primary strategy based on EMA 50/200 crossovers and RSI filtering.
High risk
GitHub stars3
Forks0
Last update10 months ago16 Nov 2025
LicenceCustom licence
Overview
The main EA manages entries through trend confirmation and provides risk controls such as stop loss, take profit, and trailing stops. It includes features for breakeven activation and time-based trading restrictions. The repository also stores multiple third-party robots like Aura BlackEdition and Flexy The Dragon. Users can configure lot sizing automatically or manually, though the README notes that performance optimization is ongoing.
- EMA 50 and 200 trend confirmation
- RSI indicator signal filtering
- Integrated trailing stop and breakeven
- Time-restricted trading sessions
- Automated lot sizing based on balance
Details
Author
khamzatMurj on GitHub
Type
Collection
Platform
MetaTrader 4 (MQL4)
Strategy
Indicator crossover, Trend following, Grid, Hedging, Martingale
Markets
Forex, Gold
Timeframes
M15-H1
Risk profile
- Uses martingale lot scaling: losses can grow fast
- Opens a grid of orders: exposure builds up in a trend
- Holds opposite positions at once
EA files
- Librery/Aura BlackEdition V2.3 @simpleforextools.mq4
- Librery/Aura_BlackEdition_2.3_Fixed.mq4
- Librery/EA_Flexy_The_Dragon_v2_7_2_v1.0_FOREX.mq4
- Librery/EA_Flexy_The_Dragon_v2_6_v1.0_FOREX.mq4
- Librery/EA_Flexy_The_Dragon_v2_4_v1.0_FOREX.mq4
- Librery/EA_Flexy_The_Dragon_v2_5_v1.0_FOREX.mq4
- Librery/EA_Flexy_The_Dragon_v2_1_v1.0_FOREX.mq4
- Librery/EA_Flexy_The_Dragon_v2_0_v1.0_FOREX.mq4
- Librery/AF-Global-Expert-Full.mq4
- Librery/SCR_SpaceX_EAv2_FTMO.mq4
About 179 expert advisors in this repository. See them all on GitHub.
Input parameters
Read from Aura BlackEdition V2.3 @simpleforextools.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Free_forex_tools | string | https://t.me/simpleforextools | |
percent | double | 0.01 | Lot for Balance |
balance | double | 500 | Balance |
Lot | double | — | Fix Lot(if 0 then Auto) |
MaxCountOrders | int | 3 | Number of Opened Deals |
BeginHour | int | — | Time to Start Hour |
EndHour | int | 24 | Time to Finish Hour |
Commen | string | — | Comments |
Magic | int | 1 | Magic |
Opposite | bool | true | Open Opposite Deals |
MaxSpred | int | 200 | MaxSpread |
Friday | bool | — | Close At Friday |
Show all 22 inputs
| Name | Type | Default | Description |
|---|---|---|---|
FrHour | int | 23 | Close At Friday Hour |
trail | bool | true | Trailing On Off |
TrailStart | double | 30 | Trailing Start |
TrailFrom | double | 30 | Trailing From |
TrailStep | double | 30 | Trailing Step |
UseBreckeven | bool | — | Use Breakeven |
BEactivity | double | 50 | BE activity |
BePips | double | 5 | BE Pips |
TKProfit | double | 300 | TakeProfit |
STLoss | double | 300 | StopLoss |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone khamzatMurj/Trading-Bot from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
- 3Copy the filesCopy the .mq4 file into Experts.
- 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
- 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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