Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordingly formulate a trading strategy based on predicted values to generate orders on same historical training set to backtest how much portfolio would have increased. Select the combination of Machine learning algo…
☆44Feb 15, 2023Updated 3 years ago
Alternatives and similar repositories for AlgorithmicTrading
Users that are interested in AlgorithmicTrading are comparing it to the libraries listed below
Sorting:
- 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 9 years ago
- The strategy-backtesting repository will hold the event driven python backtester. This program will test algorithmic strategies and pro…☆18Dec 11, 2015Updated 10 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Jun 22, 2016Updated 9 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Apr 2, 2018Updated 7 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆10Apr 8, 2020Updated 5 years ago
- A project that uses Reinforcement Learning (Q-Learning) to trade stock.☆10Apr 23, 2017Updated 8 years ago
- Computer Engineering Senior Project. Machine Learning High Frequency Stock Trading Algorithm on an FPGA☆16Dec 4, 2019Updated 6 years ago
- verify OrderBook Tick Data Trading Strategy on futures.☆17Mar 21, 2019Updated 6 years ago
- Trading Strategy Using Keras/Tensorflow LSTM and Custom Loss Function☆17Oct 14, 2017Updated 8 years ago
- Financial Analysis and Algorithmic Trading Strategies in Python☆11Feb 16, 2023Updated 3 years ago
- A new stock trading and prediction model based on a MLP neural network utilizing technical analysis indicator values as features (using A…☆37Mar 26, 2018Updated 7 years ago
- Walk through of Michael Halls-Moore's "Success Algorithmic Trading" Ebook☆18Jul 20, 2022Updated 3 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Apr 27, 2017Updated 8 years ago
- DEPRECATED Sample trading strategies for the former Python toolbox. Check new repo at: https://github.com/quantiacs☆50Aug 28, 2018Updated 7 years ago
- Basic python libraries for building technical indicators and trading signals☆18Feb 21, 2017Updated 9 years ago
- # Bayesian-Regression-to-Predict-Bitcoin-Price-Variations Predicting the price variations of bitcoin, a virtual cryptographic currency. T…☆22Mar 28, 2018Updated 7 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆24Dec 12, 2021Updated 4 years ago
- High Frequency Trading Strategy☆12Dec 20, 2018Updated 7 years ago
- The Python scripts for Udacity Machine Learning for Trading. By Georgia Tech as CS 7646☆13Jan 5, 2017Updated 9 years ago
- A Python framework for R&D of financial investment strategies, and trading them algorithmiclly via Quantopian.com☆52Dec 19, 2014Updated 11 years ago
- An automatic high frequency trading bot for cryptocurrencies☆22Jul 30, 2020Updated 5 years ago
- Implementing features from "Advances in Financial Machine Learning" by Marcos López del Prado in a financial algorithm using Enigma Catal…☆11Jul 13, 2020Updated 5 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆13Jan 11, 2023Updated 3 years ago
- Python Program to predict Intra-day stocks☆12Oct 30, 2018Updated 7 years ago
- Downloads historical data from interactive brokers and builds a data file useful for subsequent back-test☆11Mar 29, 2015Updated 10 years ago
- machine learning trading system using random decision tree to train the technical indicators☆10Apr 11, 2017Updated 8 years ago
- Trading Strategy on S&P500 with different method (Linear Regression, XGBOOST, LSTM, HMM☆10May 11, 2020Updated 5 years ago
- Implementation of an LLM prompting pipeline combined with wrappers for auto-decomposing reasoning steps and for search through the reason…☆15May 7, 2024Updated last year
- Python library for backtesting technical/mechanical strategies in the stock and currency markets☆101Feb 8, 2017Updated 9 years ago
- This project is to explore high-frequency model and strategy. You will expect high-frequency features mining, ml/dl models, and hf tradin…☆22May 19, 2021Updated 4 years ago
- Market making strategies and scientific papers☆14Aug 20, 2023Updated 2 years ago
- Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.☆106Oct 17, 2019Updated 6 years ago
- Vpin caculation and backtesting☆14Aug 16, 2019Updated 6 years ago
- Research project on applying deep reinforcement learning to perform financial market predictions. A competitive market maker.☆13Dec 8, 2022Updated 3 years ago
- My Quantopian Algorithms for Stock Trading on the Live Market☆11Oct 30, 2016Updated 9 years ago
- Reinforcement Learning (RL) is believe to be a more general approach towards Artificial Intelligence (AI). RL is the foundation for many …☆13Dec 22, 2022Updated 3 years ago
- oTree app for financial market experiments with high frequency trading☆28Aug 28, 2023Updated 2 years ago
- An open source trading bot to leverage machine learning in the stock market☆51Oct 1, 2020Updated 5 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56May 3, 2021Updated 4 years ago