timestocome / Test-stock-prediction-algorithmsView external linksLinks
Use deep learning, genetic programming and other methods to predict stock and market movements
☆436Aug 28, 2021Updated 4 years ago
Alternatives and similar repositories for Test-stock-prediction-algorithms
Users that are interested in Test-stock-prediction-algorithms are comparing it to the libraries listed below
Sorting:
- Plain Stock Close-Price Prediction via Graves LSTM RNNs☆202Feb 15, 2021Updated 4 years ago
- Cleaned data for use in stock predicting algorithms☆12Aug 6, 2017Updated 8 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆615Mar 30, 2023Updated 2 years ago
- Using python and scikit-learn to make stock predictions☆1,927Jun 17, 2024Updated last year
- Predict stock movement with Machine Learning and Deep Learning algorithms☆53Sep 13, 2022Updated 3 years ago
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,710Mar 1, 2024Updated last year
- We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.☆270Dec 8, 2022Updated 3 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆805May 21, 2016Updated 9 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆323Aug 4, 2020Updated 5 years ago
- Regression, Scrapers, and Visualization☆398Jul 6, 2023Updated 2 years ago
- ☆215Sep 27, 2017Updated 8 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆285Jul 11, 2023Updated 2 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆622Mar 25, 2023Updated 2 years ago
- Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019☆223Mar 24, 2023Updated 2 years ago
- Deep Learning based Python Library for Stock Market Prediction and Modelling☆2,248Jan 17, 2021Updated 5 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆93Mar 16, 2022Updated 3 years ago
- Programs for stock prediction and evaluation☆371Updated this week
- Introducing neural networks to predict stock prices☆770Aug 3, 2019Updated 6 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆315Sep 28, 2020Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆53Sep 15, 2018Updated 7 years ago
- ML pipeline for SmartBeta momentum factor on equity portfolio☆11Jan 25, 2016Updated 10 years ago
- Stock Price Prediction using Machine Learning Techniques☆1,512Aug 8, 2023Updated 2 years ago
- Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.☆1,838Feb 11, 2024Updated 2 years ago
- Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/17…☆563Mar 18, 2025Updated 10 months ago
- An open source library for portfolio optimisation☆367Feb 27, 2024Updated last year
- Using deep actor-critic model to learn best strategies in pair trading☆321May 18, 2017Updated 8 years ago
- Stock Prediction using machine learning☆59Dec 27, 2017Updated 8 years ago
- ☆230Aug 4, 2020Updated 5 years ago
- Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data f…☆147Sep 18, 2017Updated 8 years ago
- A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fi…☆241Jun 10, 2024Updated last year
- sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…☆51Oct 29, 2021Updated 4 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Dec 30, 2021Updated 4 years ago
- Learning to trade under the reinforcement learning framework☆516Oct 15, 2016Updated 9 years ago
- Stock Market Prediction Using Unsupervised Features☆377Jan 23, 2023Updated 3 years ago
- Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Ti…☆2,216Aug 27, 2022Updated 3 years ago
- Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆136Sep 8, 2022Updated 3 years ago
- Stock analysis/prediction model using machine learning☆190Dec 12, 2017Updated 8 years ago
- Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.☆567Jan 2, 2021Updated 5 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆565Nov 29, 2020Updated 5 years ago