The tool sends a configurable number of recent chart bars to the AI model for processing and can execute trades automatically based on the response. It includes a chat-style interface and logging system for tracking interactions. Risk management is limited to fixed lot sizing and magic number identification, as the provided input parameters do not include standard stop loss or take profit settings. The repository lacks a README.
Read from AI Canvas EA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
OpenAI_Model
string
gpt-4o
OpenAI Model Name
OpenAI_Endpoint
string
https://api.openai.com/v1/chat/completions
OpenAI API Endpoint URL
MaxResponseLength
int
3000
Max Response Length (Tokens)
LogFileName
string
ChatGPT_EA_Log.txt
Log File Name
MaxChartBars
int
10
Max Chart Bars To Send To AI
DeleteLogsOnChatDelete
bool
true
Clear Logs When Deleting Chats
AutoTrade
bool
true
Enable Auto-Trading On AI Signals
LotSize
double
0.01
Lot Size For Auto-Trades
MagicNumber
int
12345
Magic Number For Trades
EnableAutoSignal
bool
false
Enable Auto Signal Check On New Bar
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone mahfujchowdhury/AI-Canvas 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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