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
Malcom EA
This MetaTrader 4 expert advisor executes trades based on moving average trends and price action triggers.
GitHub stars1
Forks0
Last update4 years ago23 Mar 2022
LicenceNone stated
Overview
Malcom EA identifies entries by counting consecutive candles on specific sides of the MA20 and validates the broader trend using an additional MA period. The system incorporates pattern recognition to detect market types and includes an experimental reinforcement learning module for risk management. It manages exits using calculated highest points for stop loss and take profit placement, while risk is controlled through percentage-based lot sizing and trading time restrictions.
- Market type pattern recognition
- Reinforcement learning for risk management
- Dynamic stop loss and take profit calculation
- Trading result extraction to CSV for analysis
- Moving average trend validation
Details
Author
silkflo on GitHub
Type
Trading robot
Platform
MetaTrader 4 (MQL4)
Strategy
Trend following, Indicator crossover
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 MALCOM.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Header1 | string | ------------------------------------------------------------ | |
candleTrigger | int | 4 | candleTrigger --> Candles (MAX 9) on the correct side of the MA20 |
tradeIntervalCandle | int | 2 | tradeIntervalCandle --> candle qty min to allow new trade |
absolutHighestPoint | bool | true | absolutHighestPoint --> if no highest point will search further |
higherPointCandleQty | int | 64 | higherPointCandleQty --> Search for highest point to define SL/TP |
candleAmountMoveTPToZero | int | 64 | candleAmountMoveTPToZero -->modify TP 0 after this amount of candles |
MAPeriod | int | 30 | MAPeriod --> use higher period to validate the trend on MA20&200 |
use_market_type | bool | true | use_market_type --> take market type in consideration to allow or not the trade |
R_Management | bool | false | |
opt_selflearning | bool | false | opt_selflearning --> flagBuy & flagSell = true |
fridayCloseTime | int | 22 | |
mondayOpenTime | int | 01 |
Show all 19 inputs
| Name | Type | Default | Description |
|---|---|---|---|
Header2 | string | ------------------------------------------------------------ | |
maxRiskPercent | double | 0.02 | maxRiskPercent --> Adjust lot size according the risk percent |
stopLossMargin | int | 20 | stopLossMargin --> point added to the SL |
stopLossNoHighestPoint | int | 400 | stopLossNoHighestPoint --> SL if no highest point |
takeProfitMargin | int | -20 | takeProfitMargin --> Add points to the take profit |
takeProfitNoHighestPoint | int | 200 | takeProfitNoHighestPoint --> TP if no highest point |
minimumTakeProfit | int | 70 | minimumTakeProfit --> minimmum TP to allow trade |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone silkflo/Expert-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, and any .mqh files into the Include folder the code expects.
- 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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