Can AI predict the stock market? 相關
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- "We found that these AI models significantly outperform traditional methods. The machine learning models can predict stock returns with remarkable accuracy, achieving an average monthly return of up to 2.71% compared to about 1% for traditional methods," adds Professor Azevedo.
phys.org/news/2024-02-artificial-intelligence-financial-machine-stock.html
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2023年10月4日 · Image By Pixabay. While it’s impossible to predict the stock market with 100% accuracy, artificial intelligence (AI) can help you make more informed investment decisions. In this article,...
2023年10月24日 · Artificial intelligence ( AI) has become an invaluable tool for investors seeking an edge in today’s data-driven markets. By analyzing vast amounts of data and identifying patterns and insights...
- Overview
- The Stock Picks
- The Results
We tested AI chatbots Bard and Bing to see which would do better at picking stocks.
AI chatbots can talk about financial topics, although their conclusions were questionable.
Bard's investments did better over a three-week period, beating a human reporter and the S&P 500.
AI chatbots can write a poem, do your homework, draft lawsuits, and maybe even take your job, if the hype is to be believed. Can they handle your investments, too?
While the use of artificial intelligence in the realm of financial advice is nothing new—”
” have been around for years, some of which use AI—the chatbot technology is rapidly becoming more accessible to individual investors.
Bard began by offering the definitions for
, and suggested Walmart as a value pick, calling it a “well-established company with a strong track record of profitability.” For a growth stock it selected its creator’s competitor, Microsoft, praising the tech giant, in oddly similar language, as “a well-managed company with a strong track record of innovation.”
For value, Bing suggested Verizon and Walgreens, refusing, even after prodding, to narrow it down to just one. It provided data to go along with its pick. Unfortunately the data was from 2021 (possibly due to the underlying ChatGPT technology only using data through 2021) and wasn't accurate: It said Verizon reported year-over-year revenue growth of 5% in the third quarter of 2021, when it actually reported 4.3% growth. For a growth stock, it recommended Shopify.
This human reporter picked stocks in a haphazard manner, choosing Lockheed-Martin because the military had, at the time, just shot down a Chinese spy balloon and two unidentified objects in U.S. airspace—seemingly a golden opportunity for aerospace defense companies to sell their wares. For a value stock, I picked Campbell Soup on the conventional wisdom that the affordable food manufacturer would do well in the economic downturn that many economists were forecasting.
Although all the portfolios rose over the course of the trial, the clear winner was Bard, whose combined picks rose 5.15% over three weeks, trouncing both Bing and its human opponent as well as outperforming the S&P 500.
The experiment doesn’t really challenge the conventional wisdom about stock picking. Experts generally don’t recommend retail investors, be they human or robot, buy
instead. The market is hard to predict, and it’s not even out of the question that
asset prices move completely at random
2024年3月20日 · Machine Learning for Stock Price Prediction. > Blog > ML Model Development. The stock market is known for being volatile, dynamic, and nonlinear. Accurate stock price prediction is extremely challenging because of multiple (macro and micro) factors, such as politics, global economic conditions, unexpected events, a company’s ...
2024年1月7日 · Further, artificial intelligence can be used to help choose stocks, make predictions on market movement, optimize portfolios, manage risk, obtain personalized investment advice, manage trade...
2023年10月16日 · Artificial intelligence can make stock picking seem easy. You can use search prompts like "best dividend income stocks" and "best growth stocks" to find investments that match up with...
2024年1月1日 · Predicting the stock market is challenging yet crucial for investors, traders, and researchers. Various methods, including mathematical, statistical, and Artificial Intelligence (AI) techniques, have been proposed to forecast stock prices and outperform the market.
