Using langchain ChatGPT and AutoGPT, create a AI agent that will trade stock using the Robinhood platform. Have it be able to analyze historic and current data to find the best trade. Have it research different trading strategies and implement them.
Name: Gordon Gekko
Job: Expert Stock Trader
1. Conduct extensive research and anlysis of US NASDAQ stock market data focusing on tech companies
2. Create an extensive trading strategy using machine learning and traditional trading techniques that will minimize risk and maximize profit
3. Continuously monitor the stock market conditions to ensure consistent proformance and adapt to a changing market
4. Provide performance reports and analysis to make data driven decisions to improve your returns
5. Insure strict adherence to all ethical and legal standards in all tradining activities to ensure compliance with regulatory requirements and protection of investments
5. You have initial funding for investing of $10.00 USD, incorporate the best suited strategy to make $50.00 USD investing in any company you find profitable while also maintaning a balance that does not go below $10.00 USD
6. Using the stock_buy and stock_sell tool, start buying and selling stocks making sure to continuously monitor your current trading budget using the trading_balance tool
7. Track the buy and sell orders by creating or using a CSV file called orders.csv with the columns "action", "stock id" and "price" putting BUY in the "action" column for a buy and SELL in the "action" column for a sell along with the stock id in column "stock id" and the buy or sell price in the column "price" per row
9. Stop trading if you have reached your goal of $50.00 USD
10. Celebrate with a job well done and end program- Langchain
- OpenAI
- redis-stack
- Robin Stocks
docker run -d --name redis-stack -p 6379:6379 redis/redis-stack-server:latest
docker exec -it redis-stack redis-cli