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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.