This repository contains python code to create, backtest and automate intraday-trading algorithms in financial markets using Machine Learning (Regression, Classification) and Statistical (Mean-Reversion, Moving Averages, Momentum) trading strategies
☆10Sep 30, 2021Updated 4 years ago
Alternatives and similar repositories for Algorithmic_Trading
Users that are interested in Algorithmic_Trading are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Nov 26, 2022Updated 3 years ago
- ☆26Aug 7, 2025Updated 9 months ago
- My personal work on the numerical projects of a book called "A First Course in Stochastic Calculus".☆17Apr 29, 2022Updated 4 years ago
- High frequency trading algorithm for Bitmex☆22Jun 22, 2020Updated 5 years ago
- Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market…☆16Aug 30, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- manipulating cointegrated pairs to achieve a market-neutral strategy that outperforms indices☆10Jan 12, 2021Updated 5 years ago
- In the high-frequency era of trading, orders of stocks can be executed under a millsecond. The information about the thousands of orders …☆10Mar 30, 2016Updated 10 years ago
- This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generate…☆19Dec 15, 2018Updated 7 years ago
- Small tool that monitors the Docker engine and modifies the hosts file on Windows to allow easier networking☆11Apr 28, 2026Updated 3 weeks ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆70Mar 27, 2023Updated 3 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Apr 2, 2018Updated 8 years ago
- C/C++ backend☆11Sep 30, 2022Updated 3 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆15Jul 20, 2021Updated 4 years ago
- Predictions of long/short positions for FX trading done using state-of-the-art image recognition algorithms☆15Mar 29, 2018Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- How to apply Deep Learning to create a mean reverting portfolio☆14Nov 9, 2020Updated 5 years ago
- In this work, the application of the Triple-Barrier Method and Meta-Labeling techniques are explored using XGBoost to develop a sentiment…☆23Feb 25, 2024Updated 2 years ago
- Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and …☆26Apr 23, 2024Updated 2 years ago
- This is the code repository for 7FNCE025W High Frequency Trading.☆10Apr 12, 2023Updated 3 years ago
- Time-Series Momentum Strategies☆12Jul 20, 2018Updated 7 years ago
- ☆11Oct 13, 2025Updated 7 months ago
- QuickFIX wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via FIX Protocol v4.4☆17Jun 22, 2022Updated 3 years ago
- 🤖💹 algorithmic trading strategy built backtested using backtrader and python, optimizing risk-adjusted returns with a bollinger mean-re…☆15Aug 18, 2020Updated 5 years ago
- Allows the generation of optimal portfolios with CoIn, Gumbel, and no copula constraint for the stochastic interest rate - constant elast…☆15Jul 17, 2023Updated 2 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.
- Meta labeling is a method of determining the size of the bet.☆34Jun 8, 2022Updated 3 years ago
- Use hidden Markov models to label regimes on S&P 500 data, train three classifiers (naive Bayes, logistic regression, and support vector …☆16Feb 28, 2023Updated 3 years ago
- ☆14Sep 16, 2022Updated 3 years ago
- Risk tools for commodities trading and finance☆40Feb 11, 2026Updated 3 months ago
- Unofficial Python library for Zerodha Kite Web and KiteConnect☆41Sep 25, 2024Updated last year
- Python Scripts for Backtesting SPX Put Strategies Using Black-Scholes Proxies☆14Feb 15, 2018Updated 8 years ago
- Resources for the Machine Learning for Finance workshop at Texas State University (November 2022).☆18Nov 6, 2022Updated 3 years ago
- Sitecore Speedy - Use best practice page load techniques to achieve excellent Page Speed scores.☆17Dec 8, 2022Updated 3 years ago
- Python helper to extract data from Metatrader 5 - using new MT5 API☆12Feb 3, 2023Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- MATLAB code to produce results and figures in the paper "Stochastic Optimal Control of Pairs Trading Strategies with Absolute and Relativ…☆15Jun 1, 2018Updated 7 years ago
- applications for risk management through computational portfolio construction methods☆45Sep 18, 2020Updated 5 years ago
- A Next.js & Material UI portfolio that stylizes markdown files from the GitHub API and Contentful CMS.☆21Mar 6, 2023Updated 3 years ago
- ☆31Mar 9, 2023Updated 3 years ago
- Robust Statistical Arbitrage Strategies☆16Sep 29, 2021Updated 4 years ago
- Testing trading signals of commodity futures☆18Apr 4, 2020Updated 6 years ago
- Custom version of OpenAI Gym☆17Dec 22, 2020Updated 5 years ago