The EA manages the execution lifecycle, handling symbols and timeframes, while delegating market analysis and order execution to an external pipeline class. It features built-in risk controls, including an aggregate risk percentage limit and configurable pyramiding that allows up to a user-defined number of positions in the same direction. Users can specify a path to an external deep learning model. The repository's README is extremely minimal, and the core trading decisions are handled by external include files.
Deep learning model integration via path configuration
Configurable pyramiding with position limits
Aggregate risk percentage controls
Modular architecture separating execution from analysis
Read from AstraTrader.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
InpMagicNumber
ulong
ASTRA_DEFAULT_MAGIC
InpTimeframe
ENUM_TIMEFRAMES
PERIOD_CURRENT
InpTimerSeconds
int
1
InpProcessOnTick
bool
true
InpEnablePyramiding
bool
true
InpMaxSameDirectionPositions
int
2
InpMaxAggregateRiskPercent
double
ASTRA_MAX_AGGREGATE_RISK_PERCENT_DEFAULT
InpDeepModelPath
string
How to Install It
1Download the sourceUse "Download source (.zip)" above, or clone contatobusinesmendessantos-sketch/AstraTrader 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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