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AI Agents for Trading

The agentic-AI stack for markets — multi-agent frameworks, open-source hedge funds, and LLMs that mine alpha from earnings calls.

  1. 01
    Revolution in Investment Portfolio Management with Agentic AI
    May 15, 2025#AI

    Revolution in Investment Portfolio Management with Agentic AI

    How agentic AI is transforming investment management, creating autonomous agents, and changing the financial industry forever.

  2. 02
    TradingAgents: Multi-Agent AI Framework That Models a Hedge Fund
    May 12, 2026#AI

    TradingAgents: Multi-Agent AI Framework That Models a Hedge Fund

    Architecture deep dive into TradingAgents — an open-source LangGraph framework where LLM agents (analysts, researchers, trader, risk management, portfolio manager) engage in structured debates to make trading decisions.

  3. 03
    AI4Finance Foundation: The FinGPT, FinRL, and FinRobot Ecosystem for Algo-Trading
    Apr 13, 2026#AI4Finance

    AI4Finance Foundation: The FinGPT, FinRL, and FinRobot Ecosystem for Algo-Trading

    Complete guide to the AI4Finance Foundation ecosystem: FinGPT (LLM + LoRA for finance), FinRL (reinforcement learning for trading), FinRobot (multi-agent orchestration). Satellites, pipelines, and practical usage.

  4. 04
    AI Hedge Fund: A Multi-Agent Fund Where AI Analysts Vote on Trades
    Apr 19, 2026#LLM

    AI Hedge Fund: A Multi-Agent Fund Where AI Analysts Vote on Trades

    A deep dive into AI Hedge Fund by virattt — an open-source system where multiple LLM agents with different analysis styles build a portfolio through a risk filter. Architecture, agents, limitations, and lessons for real systems.

  5. 05
    AutoHedge: A Review of an Autonomous AI Hedge Fund Based on Swarm Intelligence
    May 9, 2026#autohedge

    AutoHedge: A Review of an Autonomous AI Hedge Fund Based on Swarm Intelligence

    A look at the architecture of AutoHedge by The Swarm Corporation. How a multi-agent system built on Swarms.ai develops trading hypotheses, assesses risk, and executes trades automatically.

  6. 06
    Daily Stock Analysis: An AI System That Turns a Watchlist Into a Daily Decision Dashboard
    Jun 23, 2026#LLM

    Daily Stock Analysis: An AI System That Turns a Watchlist Into a Daily Decision Dashboard

    A deep dive into daily_stock_analysis by ZhuLinsen — an open-source system that fetches market data across A-shares, HK, US, and more, runs technical and news analysis through an LLM, and pushes a structured 'decision dashboard' to your messenger every trading day. Architecture, data fallback, agent strategies, limitations.

  7. 07
    LLM Alpha Mining: How to Extract Trading Signals from Earnings Calls and Financial Documents
    Mar 20, 2026#llm

    LLM Alpha Mining: How to Extract Trading Signals from Earnings Calls and Financial Documents

    How to use large language models to extract trading signals from investor calls, reports, and news. Chain-of-thought prompting, structured extraction, signal backtesting.

  8. 08
    +702% on SOL. Where Is Jev in This Backtest?
    Sep 26, 2026#algorithmic trading

    +702% on SOL. Where Is Jev in This Backtest?

    We ran a trend strategy across 15 crypto pairs, checked costs and access to future candles, and tested Jev separately. Where did profits appear, and why can't we promise them in live trading yet?