This MetaTrader 4 expert advisor functions as an automated trading robot using the Average Directional Index (ADX) to identify trend strength and direction. It executes trades based on ADX crossovers and specific level thresholds. The EA provides essential risk management tools, including stop loss, take profit, and a
Trading robot · MT4
SMA Cross Advisor
This MetaTrader 4 expert advisor executes trades based on the crossover of two smoothed moving averages.
GitHub stars4
Forks3
Last update9 years ago1 Aug 2017
LicenceNone stated
Overview
SMA Cross Advisor monitors direction changes between a fast and slow period to trigger market entries. Risk management is handled through fixed stop loss and take profit parameters, along with a break-even function that secures positions once they move into profit. The EA includes a dynamic lot sizing algorithm that adjusts position sizes according to available account equity. The documentation also notes the presence of an ATR-based trailing stop for exit management.
- Dual smoothed moving average crossover logic
- Dynamic lot sizing based on account free margin
- Integrated break-even position protection
- Customizable fast and slow SMA periods
Details
Author
tomtom87 on GitHub
Type
Trading robot
Platform
MetaTrader 4 (MQL4)
Strategy
Indicator crossover, 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 SMA-Cross.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Lots | double | 0.1 | |
PeriodOne | int | 25 | The period for the first SMA |
PeriodTwo | int | 100 | The period for the second SMA |
TakeProfit | int | 0 | The take profit level (0 disable) |
StopLoss | int | 20 | The default stop loss (0 disable) |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone tomtom87/sma-advisor 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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