This repository provides a diverse library of expert advisors and technical indicators for MetaTrader 4. The collection includes robots utilizing moving average crossovers, MACD trend-following signals, and mean-reversion strategies based on Bollinger Bands. A notable inclusion is a Martingale robot that scales lot siz
Collection · MT4
Trading Experts Collection
This MetaTrader 4 repository contains a collection of expert advisors based on common technical indicators.
GitHub stars1
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Last update9 years ago7 Jan 2017
LicenceNone stated
Overview
The primary expert advisor, Kernsy HA Swing, utilizes Heiken Ashi candles alongside a Simple Moving Average to determine the prevailing trend and uses a Stochastic oscillator for entry signals. Other robots in the suite focus on moving average crossovers and RSI filters. These tools include standard risk management features like fixed stop losses, take profit targets, and lot sizing based on a percentage of free margin. The documentation provided in the repository is minimal.
- Heiken Ashi trend analysis
- Stochastic oscillator entry signals
- Simple Moving Average trend filter
- Percentage of margin lot sizing
- Moving average crossover exit logic
Details
Author
ThomasWick on GitHub
Type
Collection
Platform
MetaTrader 4 (MQL4)
Strategy
Indicator crossover, Trend following, Mean reversion
Markets
Forex
Timeframes
H4 and above, M15-H1
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 Kernsy HA Swing.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
StopLoss | double | 200 | SL for an opened order |
TakeProfit | double | 39 | ТР for an opened order |
SMA_Period | int | 100 | Period of SMA |
SMA_Lookback | int | 30 | Number of SMA bars to look back to determine trend |
SMA_Min_Grad | double | 0 | Minimum percentage change in SMA |
HA_Lookback | int | 5 | Number of SMA bars to look back to determine trend |
Stoch_k_period | int | 8 | Stochastic K period |
Stoch_d_period | int | 3 | Stochastic D period |
Stoch_slowing | int | 3 | Stochastic slowing |
Stoch_oBought | int | 80 | Stochastic overbought level (upper level) |
Stoch_oSold | int | 20 | Stochastic oversold level (lower level) |
Lots | double | 0.1 | Strictly set amount of lots |
Show all 15 inputs
| Name | Type | Default | Description |
|---|---|---|---|
Prots | double | 0.07 | Percent of free margin |
Debug_Print | bool | true | Turn debug printing on/off |
Print_All_Lines | bool | true | debug print options |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone ThomasWick/TradingExperts 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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