quantitative-trading

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#quantitative-trading

@0xLin_i: An intern working as a programmer in Guangzhou built a trading bot with Claude and netted $63,000 on Polymarket — with a median trade size of $7 and an average spread of 2.5%. It's not about a single winning trade; it's repeating that slight 2.5% edge 38,764 times...

X AI KOLs Timeline · 3d ago Cached

An intern in Guangzhou built a trading bot using Claude and netted $63,000 on Polymarket through high-frequency small-spread trades, demonstrating the application of AI-assisted quantitative trading in prediction markets.

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#quantitative-trading

@eastweb3eth: Github US Stock Quant Compilation - A Must-Use Tool for Smart People. Since Github came along, ordinary people can also do quant. But don't start by grinding away writing your own backtesting engine; really, most people's code is less robust than a three-year-old repo on Github. There are many repos, but I've already filtered them for you: these 4…

X AI KOLs Timeline · 3d ago Cached

Recommends 4 open-source quantitative trading tools/frameworks (VeighNa, AI-Trader, StockSharp, QuantDinger), emphasizing that they are suitable for ordinary users to conduct US stock quantitative trading, helping to free your hands and let the model handle trading.

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#quantitative-trading

@NXR_NIROX: > A Chinese girl > no quant degree, no Bloomberg terminal, no fund background > just a laptop, opened Claude Code > spent a weekend building a bot for five instruments > mean reversion on indices, breakout on Bitcoin, trend following on commodities > ATR for position sizing, 1% hard stop loss, plus…

X AI KOLs Timeline · 4d ago Cached

A Chinese girl with no quant background used Claude Code over a weekend to create a trading bot covering five instruments, employing mean reversion, breakout, and trend strategies, achieving significant returns, demonstrating the potential of AI tools in automated trading.

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#quantitative-trading

@cyber_cat7: A former Citadel quant trader was kicked out by his old employer, then rebuilt the entire algorithm using Claude Fable 5 in 48 hours — now, he's made $430,000 through hedge trading on Polymarket. He didn't take a single file. Didn't need to. Ten years of…

X AI KOLs Timeline · 5d ago Cached

A former Citadel quant trader, after being fired, rebuilt the entire trading algorithm using Claude Fable 5 in 48 hours, and through hedge trading on Polymarket, has profited $430,000. The story highlights a probability-based high-frequency trading strategy and the application of the law of large numbers.

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#quantitative-trading

@daweifs: Free Bloomberg Killer! Fincept Terminal — GitHub 23.8k+ Star, Open-Source Financial Terminal That Brings Wall Street Tools to Everyone! Key Highlights: 1. Pure C++20 native development, smooth and lag-free 2. 37 AI agents (Buffett, …

X AI KOLs Timeline · 2026-05-26 Cached

Fincept Terminal is a free, open-source financial terminal built with C++20, integrating 37 AI agents (simulating investment masters like Buffett and Munger) and 100+ real-time data sources. It offers professional charts, quantitative backtesting, and risk analysis, aiming to be a free alternative to Bloomberg.

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#quantitative-trading

@0xMulight: Agents are no longer just tools for writing code. In the past two weeks, what the community has been putting into various agent ecosystems has completely changed direction—from helping you write code, to helping you find a job, make videos, teach, trade crypto, and conduct security audits. This is what agents should be like. Let's look at each one: I shushu-internsh…

X AI KOLs Timeline · 2026-05-23 Cached

In the past two weeks, the AI Agent ecosystem has expanded from code writing to multiple vertical domains including job hunting, education, video production, security auditing, and quantitative trading. The community has contributed tools such as shushu-internship-tool, hermes-edu-skills, etc., marking the transformation of agents from code-assistance tools to all-around assistants.

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#quantitative-trading

@0xCheshire: Jane Street just released inside views of its Texas AI training center: 4,032 GPUs, 8,000 kilometers of fiber optic cable, and a fully deployed liquid cooling system because air cooling couldn't keep up. But what's truly stunning is the origin of this computing behemoth. Technical lead Ron Minsky recalls...

X AI KOLs Timeline · 2026-05-16 Cached

Jane Street revealed inside views of its AI training center in Texas, housing 4,032 GPUs, 8,000 kilometers of fiber optics, and a full liquid cooling system, while recounting the 20-year evolution from a humble start with six Dell hosts to today's extreme trading system.

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#quantitative-trading

@Mikocrypto11: Jim Simons Turned $100 into $130B Using Math, and His Core Method Is Condensed into a Free 1-Hour MIT Lecture. Many Still Pick Stocks Based on Reddit, Emotions, and "Gut Feel." Simons Relied on Equations, Achieving Consecutive 30…

X AI KOLs Timeline · 2026-05-09

This article outlines Jim Simons' quantitative trading philosophy and argues that AI tools like Claude Code can lower the barrier for ordinary people to build automated trading systems, enabling strategy validation and compounding.

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#quantitative-trading

AlphaCrafter: A Full-Stack Multi-Agent Framework for Cross-Sectional Quantitative Trading

arXiv cs.AI · 2026-05-08 Cached

AlphaCrafter is a full-stack multi-agent framework for cross-sectional quantitative trading that uses specialized agents for factor mining, screening, and trading to adapt to evolving market conditions.

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