Artificial Intelligence (AI) has been making remarkable strides, outsmarting humans in various domains such as chess, video games, and even reading comprehension tests. Inspired by these achievements, I embarked on a journey to create an AI robot that day trades in the stock market. My plan included giving it a budget of $ 50,000, pending approval from my Sugar Mama. Fortunately, the budget was approved, and to make the experiment more captivating, I decided to pit our robot against actual human social media trading gurus to see which would perform better.
My initial step was to utilize the wisdom of an AI assistant to develop a day trading strategy for our robot. Essentially, the bot, coded by ChatGPT, was designed to scan the RSI levels of the six most popular tech stocks.
I won't lie; I was apprehensive about letting a robot handle $ 50,000. But fortune favors the brave, right? The market's results were far from encouraging. The bot started by allocating $ 30,000 per trade instead of the planned $ 50,000, suggesting it had a mind of its own. Moreover, it presented recurring issues by crashing every time it attempted to sell stocks, necessitating manual intervention and constant monitoring.
Q: How much money was allocated to the AI bot for trading? A: The AI bot was given a budget of $ 50,000.
Q: What strategy did the AI bot use to trade stocks? A: The AI bot scanned the RSI levels of the six hottest tech stocks to make trading decisions.
Q: Did the AI bot follow the initial plan of dropping $ 50,000 per trade? A: No, the AI bot started by dropping $ 30,000 per trade instead of the planned $ 50,000.
Q: Were there any issues with the AI bot during the trading? A: Yes, the AI bot frequently crashed whenever it attempted to sell stocks, requiring manual monitoring and intervention.
Q: Did the AI bot perform well in the stock market? A: No, the AI bot did not perform as expected and faced multiple issues during the trading process.
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