Building a Trading Bot with ChatGPT: A Comprehensive Guide with Code Examples (2024)

Avinash Dubey Introduction Understanding ChatGPT Code Example: Market Data Acquisition Code Example: Data Preprocessing Code Example: Feature Engineering Recommended by LinkedIn Code Example: ChatGPT for Market Analysis Code Example: Trade Execution Code Example: User Interaction Code Example: Conclusion Your CTO Advisor More articles by this author Sign in Insights from the community Others also viewed Explore topics

import openai # Initialize ChatGPT openai.api_key = 'your-api-key' 

import yfinance as yf # Fetch historical data data = yf.Ticker("AAPL").history(period="1y") 

# Handling missing values data.dropna(inplace=True) 

# Calculating Moving Average data['MA50'] = data['Close'].rolling(50).mean() 

response = openai.Completion.create( engine="davinci", prompt=f"Analyze the market trend for AAPL based on the following data:\n{data.tail().to_string()}", max_tokens=150 ) 

analysis = response['choices'][0]['text'].strip() 

def place_order(symbol, quantity, order_type): # Implement your order placement logic here pass # Place an order based on ChatGPT analysis if "bullish" in analysis: place_order("AAPL", 10, "buy") 

user_query = "What's the market outlook for AAPL?" response = openai.Completion.create( engine="davinci", prompt=f"{user_query}\n{analysis}", max_tokens=150 ) reply = response['choices'][0]['text'].strip()