Founder of DeepSeek's magic square quantitative strategy achieved a 56.55% return last year, with assets under management exceeding 700 billion yuan
BlockBeats News, January 14th. According to a report by 21st Century Business Herald citing the latest data from the private placement network RankingBall, the average annual return of DeepSeek founder Liang Wenfeng's Huansquare Quant for 2025 reached 56.55%, ranking second in the performance list of quant private funds in China with a management scale of over 10 billion RMB, second only to Lingjun Investment, which topped the list with an average return of 73.51%. Currently, the management scale of Huansquare Quant has exceeded 70 billion RMB. According to data from the RankingBall network, the average return of Huansquare Quant in the past three years was 85.15%, and in the past five years, it was 114.35%.
Some analysts believe that the impressive performance of Huansquare Quant has provided sufficient research and development funds for Liang Wenfeng's DeepSeek. Huansquare Quant is one of the most well-known quantitative private fund giants in China. It was founded by Liang Wenfeng in 2008 while studying Information and Communication Engineering at Zhejiang University. It is a hedge fund with a mathematical, computational, research, and AI gene. In 2019, the management scale of Huansquare Quant exceeded 10 billion RMB, and in 2021, it once surpassed 100 billion RMB.
Recent news has stated that DeepSeek will release the new flagship AI model DeepSeek V4 in February. This model has powerful programming capabilities and is expected to have a significant impact on the current AI competitive landscape. (Jiemian News)
You may also like

Vitalik wrote a proposal teaching you how to secretly use AI large models

On the eve of the explosion of on-chain options

WEEX AI Hackathon: How Did This AI Trading Winner Succeed?
A self-taught AI trading enthusiast achieved top-10 results at the WEEX AI Hackathon. Learn about the mindset, AI tools, and lessons behind this impressive performance.

One Balance to Rule Them All: Gravitas' On-Chain Prime Broker Ambition

That person who cashed out at the NFT peak is now selling a new shovel in the OpenClaw craze

Inter-generational Prisoner's Dilemma Resolution: The Nomadic Capital and Bitcoin's Inevitable Path

Upstream and downstream are starting to fight, all for the sake of everyone being able to "Lobster"

Circle and Mastercard Announce Partnership, the Next Stage for the Crypto Industry Belongs to Payments

From 5 Mao per kWh of Chinese electricity to a $45 API export: Tokens are rewriting currency units

Why is OpenAI playing catch-up to Claude Code instead?

Vitalik wrote a proposal teaching you how to secretly use AI large models

The doubling of Circle's stock price and the paradigm shift of stablecoins

Key Market Information Discrepancy on March 13th - A Must-See! | Alpha Morning Report

On-Chain Options Explosion.ActionEvent

《Time》 Magazine Names Anthropic as the World's Most Disruptive Company

Predictions market gains mainstream traction in the US, Canada, Claude launches Chart Interaction feature, What's the English community talking about today?

500 Million Dollars, 12 Seconds to Zero: How an Aave Transaction Fed Ethereum's "Dark Forest" Food Chain

AI Agent needs Crypto, not Crypto needs AI
Vitalik wrote a proposal teaching you how to secretly use AI large models
On the eve of the explosion of on-chain options
WEEX AI Hackathon: How Did This AI Trading Winner Succeed?
A self-taught AI trading enthusiast achieved top-10 results at the WEEX AI Hackathon. Learn about the mindset, AI tools, and lessons behind this impressive performance.