RenTec was doing speech analysis well before ChatGPT. They may aswell have invented LLM and didn't tell anyone. Answer from perchero on reddit.com
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Resonanzcapital
resonanzcapital.com › insights › how-hedge-funds-are-really-using-generative-ai-and-why-it-matters-for-manager-selection
How Hedge Funds Are Really Using Generative AI — And Why It Matters for Manager Selection | Resonanz Capital
April 13, 2026 - Enhancing Trading Strategies Systematic and quant funds are using GenAI to identify subtle market patterns, sometimes with the help of synthetic datasets generated via tools like GANs. These models help stress-test trading strategies against alternative market conditions before deploying real capital. Improving Market Predictions Managers are training LLMs on macroeconomic datasets and earnings calls to surface patterns that would be too labor-intensive to catch manually.
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Resonanzcapital
resonanzcapital.com › insights › ai-use-by-hedge-funds-made-tangible-from-lego-bots-to-alpha-assistants
AI Use by Hedge Funds Made Tangible - From Lego Bots to Alpha Assistants | Resonanz Capital
November 7, 2025 - A deep dive on hedge-fund AI: how leading hedge funds deploy private LLMs, guardrails, and culture to turn Gen-AI into repeatable alpha.
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GitHub
github.com › virattt › ai-hedge-fund
GitHub - virattt/ai-hedge-fund: An AI Hedge Fund Team · GitHub
April 18, 2026 - You can also specify a --ollama flag to run the AI hedge fund using local LLMs.
Starred by 61.6K users
Forked by 10.9K users
Languages   Python 64.1% | TypeScript 32.2% | Shell 1.7% | Batchfile 1.4% | CSS 0.6% | Mako 0.0%
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Reddit
reddit.com › r/hedgefund › are your hedge funds doing anything with ai right now ?
r/hedgefund on Reddit: Are your hedge funds doing anything with AI right now ?
October 29, 2024 -

Curious about the general sentiment of AI hype in hedge funds. Are there any internal tools using LLMs in strategies, generating alpha ?

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RenTec was doing speech analysis well before ChatGPT. They may aswell have invented LLM and didn't tell anyone.
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I don’t think most AI generated strategies can beat a basic S&P index at this time. I’ll give you an example to explain why. Back in late 2022, I was once told about a hedge fund built off of data scientists around the world building machine learning models to beat the market. The fund is called Numerai. Back in 2022 when the S&P was down -18% for the year, Numerai was up +18% for the year. Sounded pretty good even though they underperformed relative to the S&P for 2020 and 2021 (+6.15% and +12.16% for Numerai vs +18.40% and +26.29% for S&P). Then 2023 happened and Numerai lost -17.38% vs the S&P gaining +22.08%. No longer impressive and underperforming the S&P through the end of 2023, Numerai no longer publicly posts any graphs comparing its historical performance vs the S&P. In fact it’s hard to find any performance data about them at all unless you do a bit of internet sleuthing. For my own portfolio, I do not use AI. Having created my own screening algorithm manually in mid 2017 for megacaps stocks by filtering for growth across all sectors and by updating the stocks and sector mix annually, my strategy has gone up +463.49% since July 2017 through Sep 2024 with +26.93% average annualized returns, including dividends. However, my strategy is not an ETF or an active hedge fund at this time; it is a stock list that I am utilizing in an incubator fund to gather more performance data. Nevertheless, since July of this year I have been sharing my stock list with individuals who are interested in trying it out for themselves. The stock list is free, but I am looking to find out how many people will use it and track how much money is being invested in my strategy over time, so if you would like to try it, please message/chat with me directly and I can provide you more information about the strategy’s historical annual performance and how to obtain the list.
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Insituate
insituate.ai › blog-posts › taking-hedge-funds-to-pole-position
How Insituate's AI Copilots are Revolutionizing Hedge Fund Operations | Insitutate AI
By harnessing the power of LLMs, these copilots can rapidly analyze vast amounts of data, including financial statements, news articles, and alternative data sets, to uncover valuable insights and potential investment opportunities. Insituate's copilots are trained on a hedge fund's proprietary data and research methodology, allowing them to adapt to the unique investment style and preferences of the fund.
Find elsewhere
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arXiv
arxiv.org › html › 2502.13165v1
HedgeAgents: A Balanced-aware Multi-agent Financial Trading System
February 17, 2025 - In this well-balanced system, an array of hedging agents has been tailored, where HedgeAgents consist of a central fund manager and multiple hedging experts specializing in various financial asset classes. These agents leverage LLMs’ cognitive capabilities to make decisions and coordinate ...
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SSRN
papers.ssrn.com › sol3 › Delivery.cfm › 3912348.pdf
Classifying Hedge Fund Strategies with Large Language Models: Systematic vs. Discretionary Performance by Hui-Ching Chuang, Chung‐Ming Kuan :: SSRN
September 27, 2021 - This paper fine-tuned the FinBERT, a large language model (LLM) tailored for the financial domain, to classify hedge funds into Systematic and Discretionary categories. By leveraging LLM techniques, our approach mitigates the subjective judgment ...
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X
x.com › virattt › status › 1888629199981715726
virat on X: "I made a diagram of my AI hedge fund. It's a multi-agent, multi-LLM system. Thanks to @LangChainAI, it’s evolved a ton. Our AI agents: 1 • Bill Ackman agent 2 • Warren Buffett agent 4 • Fundamentals agent 5 • Sentiment agent 6 • Technicals agent 7 • Valuation agent You https://t.co/L4wNL4Q0EO" / X
Our AI agents: 1 • Bill Ackman agent 2 • Warren Buffett agent 4 • Fundamentals agent 5 • Sentiment agent 6 • Technicals agent 7 • Valuation agent You can pick any combo of agents to run. Our LLM providers: 1 • OpenAI 2 • Anthropic 3 • Deepseek 4 • Meta We have multiple LLMs from each provider.
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Captide
captide.ai › insights › agentic-ai-for-hedge-funds
Captide | Agentic AI for Hedge Funds
June 15, 2025 - The era in which AI capabilities were confined to quant shops is over. Leading fundamental managers are embedding LLM-powered systems—often customized and run privately—across their research stack, from parsing complex regulatory disclosures in real time to generating novel hypotheses from fragmented alternative data.
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LSEG
lseg.com › home › hedge funds › hedge fund huddle podcast series › separating best practice from hype – lessons learned from early llm adopters
Separating Best Practice from Hype – Lessons learned from early LLM adopters | LSEG
LSEG recently hosted an evening of thought-provoking discussion and networking in New York City exploring how hedge funds are harnessing Large Language Models (LLMs) and what practitioners can learn from LLM experts in the healthcare and finance industries. The discussions addressed the unique challenges hedge funds face in implementing LLMs, including data privacy, model accuracy, and regulatory concerns.
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Forbes Australia
forbes.com.au › home › how a soviet refugee became a hedge fund billionaire
How a Soviet refugee became a hedge fund billionaire
May 18, 2025 - WorldQuant is well positioned to capitalize on LLMs. Sources close to the company tell Forbes it employs over 150 PhDs in math, computer science and related STEM fields. Beyond Tulchinsky’s comments, the firm declined to provide specifics, though Fabozzi says it’s likely a hedge fund like WorldQuant would tap an open-source LLM model, such as Facebook’s Llama, and feed it with its existing algorithms, thus training it to discover and even write new algorithms on its own.
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Head of LLM Research
selbyjennings.com › en-us › job › head-of-llm-research-quantitative-hedge-fund-pr533737_1743687775
Head of LLM Research | Quantitative Hedge Fund job in San Francisco, California | Selby Jennings
This firm is a technology-driven hedge fund that applies machine learning and AI to develop systematic investment strategies. With a unique approach that combines crowd sourced data science and cutting-edge quantitative research, the firm is ...
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Flatcircle
blog.flatcircle.ai › flat circle › creative ways hedge funds are using llms
Creative ways hedge funds are using LLMs - by Jim Moran
December 26, 2025 - Askeladden Capital, a long-only small/micro-cap value investing firm, used LLMs in a proxy battle
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AIMA
aima.org › static › a4f9bc40-8c32-42e6-87f52bd89f6e1a82 › How-hedge-funds-are-leveraging-Gen-AI-to-get-ahead.pdf pdf
1 Getting in pole position: How hedge funds are leveraging Gen AI to get ahead
The largest hedge · fund managers are already gifting their teams with a bespoke digital · assistant, easing their workload and enabling them to focus on high- level tasks. This assistant will also graduate from what one interviewee · described as "the world's best intern" to something much more ... PowerPoint, Teams, and GitHub. By comparison, open- access LLMs are only available as APIs that can be
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GitHub
github.com › DanisHack › ai-hedge-fund
GitHub - DanisHack/ai-hedge-fund: AI-native hedge fund using multi-agent LLM system with real market data and paper trading. · GitHub
February 12, 2026 - AI-native hedge fund using multi-agent LLM system with real market data and paper trading. - DanisHack/ai-hedge-fund
Author   DanisHack
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Aisot
aisot.com › blog › making-language-models-work-for-hedge-funds
Making language models work for hedge funds
September 9, 2025 - By addressing the core problems through specialized LLMs, that are combined with traditional quant financial models, rather than abandoning the approach entirely, we unlock the superior pattern recognition capabilities of language models while maintaining the temporal discipline required for rigorous financial forecasting.