ai-hedge-fund

An AI Hedge Fund Team

46 articles 47k View on GitHub ↗
46 articles
Common Failure Modes When Running the AI Hedge Fund: 7 Critical Errors and Fixes

Discover common AI hedge fund failure modes including API errors, data issues, and configuration mistakes. Learn 7 critical errors and how to fix them for reliable trading.

tutorial
Mar 9, 2026
How to Scale Analysis Across Hundreds of Tickers in AI Hedge Fund Backtests

Learn how to scale analysis across hundreds of tickers in AI hedge fund backtests. Optimize runtime with parallelization, caching, and vectorized operations.

how-to
Mar 9, 2026
Position Sizing Logic in the AI Hedge Fund: Volatility and Correlation-Based Risk Management

Discover the AI hedge fund's position sizing logic. Learn how this repository uses volatility and correlation for risk management, setting dollar limits for ticker exposure.

how-to-guide
Mar 9, 2026
How to Use the show_reasoning Flag in AI Hedge Fund to Display Agent Reasoning

Learn how the show_reasoning flag in virattt/ai-hedge-fund reveals LLM agent logic and decision-making for buy, sell, and hold actions in simulations and backtesting.

how-to-guide
Mar 9, 2026
Differences Between Value Investing and Growth Investing Agents in AI Hedge Fund

Explore the core differences between value investing and growth investing AI agents. Understand how each strategy analyzes market data for hedge fund investments.

deep-dive
Mar 9, 2026
How to Extend ai-hedge-fund with a New Data Provider: A Complete Implementation Guide

Easily extend ai-hedge-fund with a new data provider. Implement a typed provider function in api.py, leverage built in helpers for API requests, rate limiting and caching, and return validated Pydantic models.

how-to-guide
Mar 9, 2026
Flow From Analyst Signals to Trading Decisions in the AI Hedge Fund

Discover the AI Hedge Fund's three-stage LangGraph workflow from analyst signals to trading decisions. Learn how agents, risk managers, and portfolio managers create executable buy/sell orders.

how-to-guide
Mar 9, 2026
How the Technical Analyst Agent Calculates Chart Patterns in the AI Hedge Fund

Learn how the technical analyst agent calculates chart patterns using OHLCV data and five technical indicators. Discover its weighted ensemble algorithm for trading consensus.

deep-dive
Mar 9, 2026
Docker Containers Defined in docker-compose for AI Hedge Fund: Complete Service Reference

Explore Docker containers defined in docker-compose for the AI Hedge Fund repository. Orchestrate live trading, analysis, backtesting, and LLM inference with this comprehensive service reference.

api-reference
Mar 9, 2026
FastAPI Route Structure in AI Hedge Fund: Modular Router Architecture Guide

Master FastAPI route structure with modular router architecture in an AI Hedge Fund. Learn efficient API organization for your backend applications and improve code maintainability.

architecture
Mar 9, 2026
How the Sentiment Analyst Agent Processes News in AI Hedge Fund

Learn how the sentiment analyst agent processes news by fetching data, mapping sentiment labels, and combining signals for market recommendations. See the AI hedge fund approach.

how-to-guide
Mar 9, 2026
Database Models and Alembic Migrations in the AI Hedge Fund Web Backend

Manage your AI hedge fund's database with SQLAlchemy models and robust Alembic migrations. Ensure clean data persistence for React Flow configurations and trading analytics.

database
Mar 9, 2026

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