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☆ A hedge fund manager shares 2 ChatGPT prompts and the AI plugin he used to filter top stock picks
  + stars: | 2023-08-12 | by ( Laila Maidan | ) www.businessinsider.com   time to read: +9 min
He fed the LLM data from a terminal and asked it to filter its findings through top academic literature and fund managers. Building on the knowledgeIn his earlier experiments, Patel and his team manually pasted increments of stock data into ChatGPT's text box. Using Julius AI, Patel was able to input data for over 6,800 stocks to see if the outcomes or accuracy would change. The metrics Patel chose to input were based on company fundamentals that he felt were important when picking stocks. Patel concluded that whether it's a human analyst or AI that's picking stocks, there are no guarantees in the stock market.
Persons: Alpesh Patel, it's, Patel, Julius AI, Julius, Price, ChatGPT's, Warren Buffett, Cisco Systems Inc Patel, Johnson, Eli Lilly, Rahul Sonwalkar, you've Organizations: NYSE, Nasdaq, US Securities and Exchange Commission, FTSE, New York Stock Exchange, Alpha, Broadcom, Cisco Systems Inc, Apple Inc UnitedHealth, Johnson, Johnson Exxon Mobil Corp Visa Inc Tesla, Walmart, Taiwan Semiconductor Manufacturing Procter, Gamble, Chevron Corp Mastercard, Depot Inc, Pfizer, AbbVie Inc Merck, Co Inc, Cola Co, Pepsico, Broadcom Inc Alibaba
☆ ChatGPT helped a simulated study return up to 512% trading stocks based on news. Here's the prompt the researchers used — plus the positive and negative takeaways from their findings.
  + stars: | 2023-07-22 | by ( Laila Maidan | ) www.businessinsider.com   time to read: +12 min
ChatGPT excelled at predicting a stock's price direction based on news sentiment. They found that while ChatGPT excelled at predicting a stock's direction based on news sentiment, it is not without limitations. They prompted ChatGPT to assign the following scores to headlines: "1" for good news, "0" for unknown and "-1" for bad news. Is this headline good or bad for the stock price of (company name) in the term (short or long-term)?" This meant negative news had a greater and longer impact in the real world than in the simulation,, likely giving ChatGPT an advantage, Lopez-Lira noted.
Persons: ChatGPT, Bard, Alejandro Lopez, Yuehua Tang, Merrill Lynch, Lopez, Lira, Tang, Russell, BERT, Philip Morris, Gene Tipps, David Capablanca, Alpesh Patel, Praefinium, Patel, Capablanca, GPT's, it's, Cory Mitchell, would've, Mitchell, you'll, they're Organizations: University of Florida, of Florida's Department, Finance, Lira, Center for Research, Linux, NYSE, Nasdaq, GPT, Design, Cadence Design, Philip Morris Beats, Global, Global Operations, Dow Locations: GPT
☆ A hedge fund manager shares the 7 GPT-4 prompts he used to filter top stocks and the 6 key takeaways he learned from his AI experiments
  + stars: | 2023-05-11 | by ( Laila Maidan | ) www.businessinsider.com   time to read: +12 min
He found a series of prompts that allows GPT-4 to respond with good stock market insight. The crossroad where technology meets the stock market isn't new territory for Patel. It responded with seven key variables that did indeed impact 2022's broad stock market performance. It picked three of the same stocks Patel already held: Microsoft, Visa, and Apple. Otherwise, the majority of them would have been able to navigate 2022's stock market better.
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