pushkarkumarvats/OmniQuant
Unified Quantitative Research & Trading Framework - Copyright protected
This platform helps quantitative traders and researchers develop, test, and simulate complex trading strategies using various market data. It takes in historical market data, including tick, bar, and order book information, along with your chosen alpha models and strategy parameters. It then outputs backtesting results, portfolio performance metrics, and risk analysis to help you refine your trading approach.
Use this if you are a quantitative trader or researcher looking for a comprehensive environment to develop, backtest, and simulate advanced trading strategies before considering live deployment.
Not ideal if you need a production-ready system for live trading without independent validation and significant additional hardening.
Stars
8
Forks
3
Language
Python
License
—
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/pushkarkumarvats/OmniQuant"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
bbfamily/abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
zvtvz/zvt
modular quant framework.
georgezouq/awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
microsoft/qlib
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant...
mgroncki/IPythonScripts
Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio...