☆13May 21, 2019Updated 7 years ago
Alternatives and similar repositories for medium_pairs_p1
Users that are interested in medium_pairs_p1 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- simple rest API wrapper for bitmex☆10Nov 2, 2019Updated 7 years ago
- Legacy research experiment (2021): SAC autohedging / market-making environment. Paper-backed GPU training, not a current flagship.☆10Aug 23, 2026Updated 2 months ago
- ☆25Dec 18, 2015Updated 10 years ago
- ☆13May 27, 2023Updated 3 years ago
- Limit Order Book Convolutional Neural Network trading bot☆14Jul 24, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Community version of quantitative backtesting framework☆13Nov 15, 2025Updated 11 months ago
- A multi-factor investment strategy based on high frequency data and machine learning.☆11Feb 25, 2023Updated 3 years ago
- ☆15Feb 7, 2021Updated 5 years ago
- ☆12Jun 2, 2024Updated 2 years ago
- Optimal high-frequency market making strategy☆32Nov 24, 2024Updated last year
- Modern machine learning and statistical toolbox for financial researchers and practitioners☆13Jul 14, 2023Updated 3 years ago
- Limit Order Book Visualisation☆13Dec 10, 2025Updated 10 months ago
- 基于机器学习的多因子研究框架☆14Jun 22, 2020Updated 6 years ago
- This repo is my understanding and learnings from Machine Learning for Trading Specialization from Coursera☆11May 30, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This was a university group project supported by the HSBC Artificial Intelligence team. It involved applying machine learning algorithms …☆16Nov 13, 2023Updated 2 years ago
- A collection of assignment submissions from the 2021/22 MSc Computational Finance Course.☆13Jan 3, 2023Updated 3 years ago
- Python implementation of the paper 'Outcome-Adaptive Lasso: Variable Selection for Causal Inference'☆17Jul 17, 2020Updated 6 years ago
- ☆49Feb 19, 2017Updated 9 years ago
- Dynamic algorithmic trading systems in Python using Interactive Broker's Python API☆24Feb 16, 2021Updated 5 years ago
- Trading with ML on binance microstructure market data☆15Dec 29, 2023Updated 2 years ago
- Code package to analyze high-frequency trading (HFT) races using financial-exchange message data, following Aquilina, Budish and O'Neill …☆46Nov 14, 2021Updated 4 years ago
- Asynchronous driven quantitative trading framework.☆16May 14, 2023Updated 3 years ago
- A log likelihood process for optimal entry / exit / stopping.☆14Jun 15, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Cryptocurrency trading bot that uses an LSTM to predict price trends☆23Dec 28, 2017Updated 8 years ago
- A set of libraries to simulate a Quantum Computer on your computer using C.☆12Oct 8, 2019Updated 7 years ago
- POC for a basketball broadcasting solution using 180FOV camera and AI☆17Oct 12, 2023Updated 3 years ago
- Solana Wallet Breakdown with ChatGPT☆12Feb 5, 2024Updated 2 years ago
- Implementation of PIN ( Probability of Informed trading) on A-Share daily public data (based on Yan Y, Zhang S. An improved estimation me…☆43Aug 19, 2020Updated 6 years ago
- ☆21Nov 4, 2022Updated 4 years ago
- MMaker is a Market Making trading bot☆32Jan 3, 2023Updated 3 years ago
- Pairs trading strategy that includes a research pipeline for identifying and selecting pairs. Tests all possible pairs in a universe for …☆36Oct 9, 2026Updated 3 weeks ago
- A domain specific programming language for simulating Quantum Computing Algorithms.☆14Jan 2, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆10Nov 16, 2023Updated 2 years ago
- Unofficial PyTorch implementation of FactorVAE☆21Jun 1, 2023Updated 3 years ago
- ☆10Mar 28, 2022Updated 4 years ago
- Implementation of Avellaneda and Stoikov's High-Frequency Trading Model in a Limit Order Book Context☆23Feb 20, 2025Updated last year
- A miscellany of thoughts.☆28Aug 7, 2023Updated 3 years ago
- A few dotfiles for my Manjaro/i3 desktop.☆19Jan 16, 2019Updated 7 years ago
- High Frequency Trading☆113Jun 10, 2018Updated 8 years ago