This repository is a diverse collection of MetaTrader 5 Expert Advisors, featuring nearly 100 different scripts sourced from various origins. The library includes automated robots based on standard indicators like Bollinger Bands, MACD, Stochastics, and moving average crossovers, as well as channel trading systems and
Collection · MT4 · MT5
MetaTrader Projects Collection
This repository contains a collection of MetaTrader 4 and MetaTrader 5 tools, including automated trading robots and technical utilities.
GitHub stars2
Forks1
Last update6 years ago10 Jun 2020
LicenceNone stated
Overview
The primary expert advisor features a hybrid system that supports both straddle and fade execution modes. It provides built-in risk management via stop loss, take profit, trailing stops, and a break-even function. Additional filters allow the user to restrict trades based on psychological price levels, spread limits, and specific time windows. The collection also includes a volume-based candlestick algorithm and an Average Daily Range indicator. The README is minimal.
- Straddle and fade execution modes
- Psychological level price filters
- Volume and candlestick pattern algorithm
- Integrated break-even and trailing stop logic
Details
Author
V-Mitch on GitHub
Type
Collection
Platform
MetaTrader 4 (MQL4) and MetaTrader 5 (MQL5)
Strategy
Breakout, Mean reversion, Multi-strategy
Markets
Forex
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 Stool_02.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Testing | string | Control speed of the chart speed when using strategy tester | |
speed | int | 500 | |
info0 | string | Miscellaneous | |
VoiceComment | bool | true | |
OrderVisual | bool | true | |
info1 | string | Use these parameters to modify your money management | |
Takeprofit | int | 50 | |
Stoploss | int | 25 | |
Straddlesize | int | 15 | |
Lotsize | double | 0.01 | |
MaxSpread | double | 10 | |
Slippage | int | 3 |
Show all 40 inputs
| Name | Type | Default | Description |
|---|---|---|---|
MagicNumber | int | 1234 | |
info24 | string | Mode 1 is Straddle, Mode 2 is Fade | |
TradingMode | int | 1 | |
info2 | string | Use these parameters to modify your Breakeven function | |
UseMoveToBreakeven | bool | false | |
WhenToMoveToBE | int | 100 | |
PipsToLockIn | int | 5 | |
info3 | string | Use these parameters to modify your Trailing Stop function | |
UseTrailingStop | bool | false | |
WhenToTrail | int | 100 | |
TrailAmount | int | 50 | |
info10 | string | Only take the trade if you are within this range of a psycho | |
UsePsychLevels | bool | false | |
upperlowerlimit | double | 0.001 | |
info12 | string | Days of the week to trade | |
Monday | bool | 1 | |
Tuesday | bool | 1 | |
Wednesday | bool | 1 | |
Thursday | bool | 1 | |
Friday | bool | 1 | |
Saturday | bool | 1 | |
Sunday | bool | 1 | |
info14 | string | Only consider certain days of the month? 0 is Sunday, 6 is S | |
UseDayOfMonth | bool | false | |
WeekDay | int | 5 | |
MonthDay | int | 7 | |
info23 | string | Specific dates on which you wish to backtest trade 0-31 | |
UseManualDates | bool | true |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone V-Mitch/metatrader-projects from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts or MQL5/Experts.
- 3Copy the filesCopy the .mq4 / .mq5 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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