Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
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Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
TranslatedA-share market analysis and AI intelligent investment research agent: a desktop workbench for stock analysis, quantitative trading analysis, and post-market review — easy stock
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Toolbox for quantitative trajectory evaluation of VO/VIO
An R package for the Quantitative Analysis of Textual Data
Pathology Foundation Model - Nature Medicine
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
Vision-Language Pathology Foundation Model - Nature Medicine
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
Open Source Algorithmic Trading Engine
Software for humanities scholars using quantitative or computational methods.
Quantitative Research Handbook
The foundational library of the Morpheus data science framework
A tool for quantitative risk analysis of Android applications based on machine learning techniques
Quantitative Economics
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Research experiments exploring uncommon quant techniques.
💸 Papers and Code Implements for Quantitative-Trading
AI-Powered Quantitative Trading Engine — Evolve strategies with genetic algorithms
Quanfima (Quantitative Analysis of Fibrous Materials)
Fungal Feature Tracker (FFT): A tool to quantitatively characterize morphology and growth of filamentous fungi