QuantHedgeFund
Unverified ML strategy on Multi by Ashutosh0x. BotFinder score 18 out of 100.
A Python-powered Quant Hedge Fund System with automated data ingestion, backtesting, and trade execution using MLflow, Luigi, Prefect, and Interactive Brokers
Source: github
BotFinder analysis pending.
QuantHedgeFund
Quant Hedge Fund System A complete Python-powered algorithmic trading system for building and running your own quant hedge fund https://github.com/user-attachments/assets/0a2bbe6c-188f-41e2-9080-8c016b3c9743 --- Table of Contents - Overview - Architecture - Features - Project Structure - Quick Start - Configuration - Components Deep Dive - Running the System - Strategy Development - API Reference - Troubleshooting - License & Disclaimer --- Overview The Quant Hedge Fund System is a comprehensive, end-to-end algorithmic trading platform that automates the entire investment process: 1. Data Collection - Download and store 25+ years of market data and fundamentals 2. Research & Backtesting - Test trading strategies with professional-grade analytics 3. Experiment Tracking - Log all experiments with MLflow for reproducibility 4. Automated Execution - Execute trades automatically via Interactive Brokers 5. Real-time Monitoring - Track performance with a live dashboard This system is based on the Quant Science production architecture, designed to bring institutional-quality tools to individ
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Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)