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Creating a Trading Bot with Chat GPT
Mar 6, 2025
How to Create a Trading Bot Using Chat GPT
Introduction
Presenter: Artie
Topic: Creating a trading bot using Chat GPT based on personal trading rules
Focus on day trading strategies
Aim for practicality and effectiveness in trading bots
Setting Up
Open three windows:
MetaTrader account
Browser with Chat GPT
MetaQuotes Language Editor (from MetaTrader)
Steps in MetaQuotes Language Editor
Create a New Expert Advisor (EA):
Click on "Tools" and select "MetaQuotes Language Editor"
Choose "New" > "Expert Advisor"
Rename the advisor (custom name)
Select "On Chart Events" and "Next" until finishing
Clear Default Code:
Right-click, select all, and delete the generic script
Interacting with Chat GPT
Be polite when prompting the AI
Start with: "Good morning, are you familiar with the MetaTrader 4 coding language?"
Provide specific trading rules for bot creation
Trading Bot Rules
Buy Conditions:
Timeframe:
5-minute chart
Candlestick Criteria:
Two bearish candles followed by a bullish candle
Third candle must close above the highest price of the previous two candles
Bullish candle must close above the 10 EMA
Action:
Enter a Buy trade at market price
Stop Loss:
One tick below the entry candle
Sell Conditions:
Candlestick Criteria:
Two bullish candles followed by a bearish candle
Third candle must close below the lowest price of the previous two candles
Bearish candle must close below the 10 EMA
Action:
Enter a Sell trade at market price
Stop Loss:
One tick above the entry candle's highest price
Take Profit:
Two times the stop loss in ticks
Adjustable Settings
Allow adjustments for:
Stop loss in ticks
Take profit in ticks
Trading hours (default: 8 AM - 1 PM server time)
Importance of optimizing settings for best performance
Testing the Bot
Compile Code:
Copy code from Chat GPT into the MetaQuotes Language Editor
Click the green compile button to check for errors
Error Correction:
If errors arise, copy them back into Chat GPT for fixes
Testing in Strategy Tester:
Use the strategy tester in MetaTrader to evaluate performance
Select the expert advisor created and set parameters for testing
Challenges and Adjustments
The process may require multiple iterations to perfect the bot
Importance of specific parameters and settings in coding
Expect to troubleshoot and adjust consistently
Conclusion
Building a trading bot is a complex process that demands time and patience
Continuous optimization and testing are critical for success
With commitment and problem-solving skills, it's possible to develop a functional trading bot.
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