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This article details how to build a personal quantitative trading system using free AI open-source tools (such as OpenBB, Qlib, TradingAgents, etc.), covering five major modules: data, research, backtesting, risk control, and execution, and points out common pitfalls and discipline.
This is a 50k-star open-source project on GitHub that uses AI models to automatically analyze stock quotes, technical indicators, and fundamental data, generating a decision dashboard with trend scores, buy/sell points, and risk alerts. It supports daily automated runs and multi-platform push notifications.
The paper introduces Sealed Joint Search (SJS) and the Agora system, where five specialized LLM agent classes collaborate to evolve alpha factors. On a 91-day CSI 1000 holdout, Agora achieves a portfolio Sharpe of +1.87, significantly outperforming baselines, and the discovered metrics appear as emergent properties of the system.
The tweet predicts that AI-era exchanges will shift to 24/7 operation, API-first design, and sub-second settlement, arguing that the next global exchange will emerge in Silicon Valley, not New York.
Explores whether AI-driven trading is feasible and secure, addressing potential risks and benefits.
Someone open-sourced the 'LOOP ENGINEERING' framework for building an AI-powered hedge fund that can trade 24/7 using Claude code, claiming it prints alpha continuously.
A 29-year-old Chinese salesperson built an ETH price simulation engine using Claude and 6 AI agents, earning $306,000 last month, showcasing the potential of AI in quantitative trading.
A Chinese trader built a trading bot using Claude Fable 5 and released a 31-minute complete free tutorial video with Spanish and English subtitles, guiding how to replicate it.
A Twitter thread sharing high-quality US stock Alpha bloggers, focusing on their unique insights in trading psychology, AI stock analysis, and market frameworks.
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.
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.
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.
This article introduces an open-source tool called TradingView MCP Bridge, which connects Claude Code with the locally running TradingView Desktop via the MCP protocol, enabling AI to read charts in real time, develop Pine Script strategies, perform historical backtesting, etc., forming a powerful trading charting combo.
Garry Tan shares a breakdown on using AI and Freeport Markets for episodic alpha in trading, referencing similar work at Palantir Finance in 2006.
Announces two open-source Rust projects: Lycan (a graph execution language for contextual bandits) and Syntra (a self-hosted Docker appliance for serving Lycan capsules). The author dogfoods them on a live AI trading product, discovering that data pipeline bugs, not algorithm issues, dominated the adaptation work.
User shares a set of Prompts for stock trading after connecting Claude to real financial data (real-time stock prices, etc.) via the MCP protocol, covering pre-market scan, entry confirmation, position management, and other stages, demonstrating practical cases of AI-assisted investment decisions.
Mobius is a tool that lets users describe a trade and automatically builds, backtests, and runs it.
A user claims to have given Claude AI full control of their computer to trade autonomously on the prediction market platform Polymarket, turning $200 into $3,000 in 10 hours — a 15x return — by copying the strategies of high-win-rate traders.