tarasivashchuk / MarketMLLinks
Data science project with the goal of deploying a profitable market trading algorithm on the real stock and/or FOREX market with real money to generate passive income.
☆22Updated 4 years ago
Alternatives and similar repositories for MarketML
Users that are interested in MarketML are comparing it to the libraries listed below
Sorting:
- Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | …☆57Updated 4 years ago
- PutPremiumProcessor is a Python option screener with a custom formula to score options based on their risk to reward. I created this to f…☆20Updated 2 years ago
- Links to Algorithms and their Writeups that I've developed at QuantConnect☆33Updated 4 years ago
- Stock prediction thru TFT☆37Updated 3 years ago
- everything quantitative finance related☆23Updated 5 years ago
- sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…☆50Updated 4 years ago
- This project is part of my internship at ULiege on Deep RL in stock market trading☆45Updated last year
- Kryptos AI is a virtual investment assistant that manages your cryptocurrency portfolio☆50Updated 4 years ago
- SheikhRabiul / A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-MarketIllegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acq…☆108Updated 6 years ago
- My approaches to Financial Forecasting Challenge by G-Research☆44Updated 6 years ago
- Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.☆221Updated last year
- This repo is my understanding and learnings from Machine Learning for Trading Specialization from Coursera☆12Updated 5 years ago
- Using Machine Learning for live currency trading☆37Updated 6 years ago
- This project tries to use AI, specifically reinforcement learning, to manage a stock portfolio. The objective is to be practical. So this…☆19Updated 6 years ago
- Strategy based on the Elliot Wave indicator.☆22Updated last year
- A library for SEC data extraction, equity valuation, discovery of mispriced stocks☆32Updated 2 years ago
- Assets' Risk Management Using Mean-Variance Opt Based On Mult-Factors Trending Prediction☆30Updated 8 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 6 years ago
- A Python toolkit for high-frequency trade research.☆42Updated 7 years ago
- A profitable mean reversion stock trading algorithm☆94Updated 4 years ago
- 💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架☆53Updated 4 years ago
- Hedging portfolios with reinforcement learning.☆35Updated 8 years ago
- Deep learning for forecasting company fundamental data☆141Updated 6 years ago
- An open-source framework for reduction of overfitting of DRL agents in Finance☆70Updated 2 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Python application to show AI functionality based on Keras and TensorFlow☆45Updated 7 years ago
- a unified environment for supervised learning and reinforcement learning in the context of quantitative trading☆45Updated 4 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated 2 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆106Updated 2 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago