AI Chatbot To Give Stock-Picking Advice: How Does AI Perform In The Markets?
AI Chatbot To Give Stock-Picking Advice: How Does AI Perform In The Markets?
The Israel Securities Authority has granted Bridgewise, an Israeli artificial intelligence (AI) startup, permission to launch a chatbot capable of providing stock-picking advice.
以色列證券管理局已授予以色列人工智能(AI)初創公司Bridgewise許可,允許其推出一款能夠提供選股建議的聊天機器人。
The chatbot Bridget will allow users to receive buy and sell recommendations for various stocks, starting a new era of regulated, active AI-powered retail investing.
聊天機器人Bridget將允許用戶接收各種股票的買入和賣出建議,拉開了受監管的、活躍的AI驅動的零售投資新時代的序幕。
Bridgewise, which specializes in AI-driven investment analysis, partnered with Israel Discount Bank, one of the largest banks in Israel, to bring the service to customers later this month. The company's technology combines historical data and real-time market information to offer stock evaluations.
Bridgewise專注於以人工智能驅動的投資分析,與以色列最大的銀行之一以色列折扣銀行合作,將於本月晚些時候爲客戶提供這項服務。該公司的技術結合了歷史數據和實時市場信息,提供股票評估。
"We've done everything in a calculated way, with the regulators involved end to end. Being the first to launch this has placed a huge burden on us," Bridgewise's CEO Gaby Diamant said for Bloomberg.
「我們一切都是經過審慎考慮的,監管機構全程參與。作爲首家推出這項服務的公司,我們肩負着巨大的責任,」 Bridgewise首席執行官加比·迪亞曼特在接受彭博社採訪時說。
Still, the broad adoption of AI in investment management might be some time away. SEC chair Gary Gensler warned about the risks of market concentration earlier this month, warning about a potential crisis caused by market participants "all relying on the same model, the same algorithm, the same data."
然而,人工智能在投資管理中的廣泛應用可能還需要一些時間。美國證交會主席加里·根斯勒本月早些時候警告稱,市場集中的風險,警告稱市場參與者「過度依賴同一模型、同一算法、同一數據」可能造成潛在危機。
A slow rollout of active AI investing will likely reignite the decades-old debate of active vs. passive investing in an entirely new spectrum.
活躍的人工智能投資的緩慢推出可能會重新點燃長達幾十年的活躍vs被動投資的辯論,在一個全新的光譜範圍內。
Active investing, which involves frequent trading and stock selection to outperform market benchmarks, has struggled to maintain its edge in recent years. Historically, active managers have had difficulty consistently outperforming passive index funds, primarily due to higher fees and the difficulty of consistently picking winning stocks.
活躍投資包括頻繁交易和選股以超越市場基準,近年來一直在努力保持優勢。從歷史上看,活躍管理人員很難持續戰勝被動指數基金,主要是因爲費用較高且很難持續選擇獲勝的股票。
AI could be the disruptive force needed to level the playing field, as proven by a University of Chicago study, "Financial Statement Analysis with Large Language Models," published earlier this year. The researchers found that AI writing economic narratives predicting changes in a company's earnings outperforms humans by 3% (60% vs. 57%).
人工智能可能是需要改變遊戲規則的破壞性力量,正如芝加哥大學在今年早些時候發表的研究「基於大型語言模型的財務報表分析」所證實的那樣。研究人員發現,利用人工智能編寫經濟敘述以預測公司盈利變化的能力比人類高出3%(60% vs 57%)。
While some investors will enjoy building their own stock-picking AI models, others will invest in AI ETFs.
有些投資者會喜歡構建自己的股票選擇人工智能模型,而另一些則會投資於人工智能etf。
Funds such as VanEck Social Sentiment ETF (NYSE:BUZZ) and WisdomTree International AI Enhanced Value Fund (NYSE:AIVI) are good examples of AI-driven stock picking, albeit with some human oversight.
例如,範埃克社交情緒etf(紐交所:BUZZ)和威斯頓國際人工智能增值基金(紐交所:AIVI)是人工智能驅動的股票選擇的很好的例子,儘管有一定程度的人工監督。
VanEck Social Sentiment ETF, for example, uses AI to track investor sentiment by analyzing millions of social media posts and news articles and building a portfolio of large-cap stocks based on the most positive sentiment.
範埃克社交情緒etf,例如,利用人工智能來跟蹤投資者情緒,分析數百萬社交媒體帖子和資訊,並根據最積極的情緒構建一組大市值股票組成的投資組合。
These funds still have short track records and their year-to-date performance has been lackluster. Both are performing well below the S&P 500 (up 20.88%) with VanEck Social Sentiment ETF gaining 14.55% and WisdomTree International AI Enhanced Value Fund rising just 8.75% year-to-date.
這些基金仍然有較短的歷史數據,今年迄今的表現也乏善可陳。兩者的表現遠遠低於標普500指數的20.88%,範埃克社交情緒etf的漲幅爲14.55%,而威斯頓國際人工智能增值基金今年迄今僅上漲8.75%。
Their high expense ratios are also a issue, with VanEck Social Sentiment ETF costing 75 basis points and WisdomTree International AI Enhanced Value Fund costing 58 basis points.
它們高昂的費用比率也是一個問題,範埃克社交情緒etf的成本率爲75個點子,而威斯頓國際人工智能增值基金的成本率爲58個點子。
Photo: Shutterstock
Photo: shutterstock