A Python-based scraper collects macroeconomic data from Trading Economics, allowing users to filter events and manually input trading directions via a graphical interface. The MetaTrader 5 component then monitors the schedule and executes orders based on these user-defined signals. It includes risk management features such as take profit, trailing stops, percentage-based lot sizing, and a maximum position duration. Note that the system requires manual direction input before events and defaults to no stop loss.
Read from CalendarTrading-V0.6.2.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
StopLoss
int
0
Takeprofit
int
800
RiskPercentage
double
0.3
maxTimeOpenPosition
int
8
maxTotalMarge
int
100
Trailing_Stop_Points
int
15
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone Mathis-Royer/Semi-Automated-Economic-News-Trading-System from GitHub, and unzip it.
2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
3Copy the filesCopy the .mq5 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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