Tag
Suhail recommends a book on hedge fund trading behavior, while Grok reports that fund Situational Awareness sold its public stock book after heavy losses on AI infrastructure names and short positions, with Citadel buying the bulk.
TradingAgents is an open-source multi-agent LLM framework for financial market analysis, routing market data through specialized agents for research.
Magents is an open-source Python framework for simulating and backtesting multiple trading strategies in one system, with isolated strategy pods, an event-driven engine, and central risk controls.
A discussion on why the 'agent economy' is empty, arguing that AI agents lack a native way to earn money, with trading proposed as the only viable first job for autonomous agents.
A report on a 3-week live test of an AI trading agent that is structurally unable to withdraw funds, detailing each guardrail's effectiveness and a discovered failure mode that none of them catch.
A study from Northwestern shows a 3-state Hidden Markov Model that detects market regimes to outperform traditional factor investing in S&P 500 trading, delivering 2% annual alpha and avoiding major crashes.
A curated list of 10 free GitHub repositories for algorithmic trading and quantitative finance, covering tools for backtesting, data analysis, portfolio optimization, and AI-driven trading strategies.
A guide on using the TradingView MCP with Claude Code to create custom trading indicators in Pine Script without needing technical skills.
Bitget's Stocks 2.0 introduces rTokens representing US stocks that are 1:1 backed and usable as margin for futures trading, offering capital efficiency and pre-IPO access.
Testing 7 frontier models on live prediction markets found only 2 made money; a forecaster tool built on the Limitless API flags markets where models have a real edge.
Auriko is a trading desk platform for making calls to large language models, providing a marketplace for LLM API usage.
ArkhasFlow, a professional trading platform, announces it is becoming fully open source, releasing all components including backend, frontend, and core infrastructure, allowing self-hosting with no dependency on the company.
Orus is a platform that uses Claude for investing in perpetuals, featured on Product Hunt.
A free GitHub repository with 4.8K stars releases a 'loop engineering' framework for building self-running quantitative trading agents, detailing 12 steps from strategy intent to rerun.
This article introduces 10 free open-source GitHub repos covering financial data, backtesting, trade execution, etc., enabling retail investors to access tools like those used by Wall Street hedge funds at a low cost.
anorth_chen announced becoming a founding partner of OKX.AI, sharing the practice of abstracting trading abilities onto a cloud-based AI agent, and believes that the agent economy will drive the next crypto bull market.
A trader built a trading journal in Obsidian and used Claude to analyze six months of entries, revealing that 71% of losing trades contradicted notes already in the vault. The post shares the journal structure and insights from the AI-assisted analysis.
An educational thread explaining the mathematical foundations used by quantitative trading firms like Renaissance Technologies, covering concepts from Bernoulli to Brownian motion.
Introduces patternfetch, an MCP server + REST API that provides a token-compact market-state brief instead of raw OHLCV data for trading agents, reducing token usage and hallucinations.
A developer demonstrates running Gemma 4 26B MoE model locally on an 8GB RTX 4060 with Hermes agent to fully automate backtesting of trading strategies, highlighting the growing capability of local LLMs as autonomous agents.