⚙️I built three trading bots with different strategies: safe, risky, and insane.
💼The safe bot uses momentum and value trading strategies to make decisions based on the stock's movement.
📰The risky bot scans news articles and buys or sells based on the sentiment.
🎶The insane bot uses AI to match stock news with Taylor Swift lyrics and makes decisions based on sentiment.
💰The results were mixed, with some stocks making a profit and others resulting in a loss.
How did you choose the stocks for your trading bots?
—I selected a predefined set of stocks and used various strategies for each bot.
How long did you run the bots and what were the results?
—I ran the bots for around 3-4 days and made a combined profit of $109.35, considering commissions and fees.
What platform did you use to build and execute the bots?
—I used Python and the Interactive Brokers API to build and execute the bots.
Did you encounter any challenges during the process?
—Yes, I faced challenges with data availability, APIs, and subscription costs for real-time market data.
What lessons did you learn from this experience?
—I learned that trading bots can be profitable, but they require careful strategy and ongoing optimization.
00:00Introduction to the video and the purpose of building three trading bots.
03:31Explanation of the safe trading bot and how it makes decisions based on stock price and average movement.
06:19Overview of the risky bot that scans news articles and buys or sells based on sentiment.
09:59Introduction of the insane bot that uses AI to match stock news with Taylor Swift lyrics.
13:23Results of the trading bots, with some stocks making a profit and others resulting in a loss.
15:28Thank you message to the viewers and invitation to join the Discord channel for a special event.
