Use deep learning, genetic programming and other methods to predict stock and market movements
☆435Aug 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Plain Stock Close-Price Prediction via Graves LSTM RNNs☆201Feb 15, 2021Updated 5 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☆618Mar 30, 2023Updated 3 years ago
- Predict stock movement with Machine Learning and Deep Learning algorithms☆53Sep 13, 2022Updated 3 years ago
- Using python and scikit-learn to make stock predictions☆1,950Jun 17, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,745Mar 1, 2024Updated 2 years ago
- ML pipeline for SmartBeta momentum factor on equity portfolio☆12Jan 25, 2016Updated 10 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆819May 21, 2016Updated 10 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆288Jul 11, 2023Updated 2 years ago
- Deep Learning based Python Library for Stock Market Prediction and Modelling☆2,283Jan 17, 2021Updated 5 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆323Aug 4, 2020Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆52Sep 15, 2018Updated 7 years ago
- Regression, Scrapers, and Visualization☆395Jul 6, 2023Updated 2 years ago
- Algorithmic Trading using RNN☆37Jun 23, 2016Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆216Sep 27, 2017Updated 8 years ago
- Introducing neural networks to predict stock prices☆772Aug 3, 2019Updated 6 years ago
- Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.☆105Oct 17, 2019Updated 6 years ago
- We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.☆272Dec 8, 2022Updated 3 years ago
- Stock Prediction using machine learning☆59Dec 27, 2017Updated 8 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆625Mar 25, 2023Updated 3 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆316Sep 28, 2020Updated 5 years ago
- A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fi…☆247Jun 10, 2024Updated last year
- Stock Price Prediction using Machine Learning Techniques☆1,536Aug 8, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019☆222Mar 24, 2023Updated 3 years ago
- Stock Market Prediction Using Unsupervised Features☆386Jan 23, 2023Updated 3 years ago
- Programs for stock prediction and evaluation☆376May 11, 2026Updated 2 weeks ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆93Mar 16, 2022Updated 4 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆323May 18, 2017Updated 9 years ago
- ☆229Aug 4, 2020Updated 5 years ago
- Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations☆9,350Apr 16, 2023Updated 3 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆424Oct 29, 2019Updated 6 years ago
- Predicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for …☆10Aug 10, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.☆1,876Feb 11, 2024Updated 2 years ago
- Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Ti…☆2,278Aug 27, 2022Updated 3 years ago
- Learning to trade under the reinforcement learning framework☆519Oct 15, 2016Updated 9 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Feb 24, 2022Updated 4 years ago
- Stock Price Predictor with Deep Learning☆11Aug 5, 2017Updated 8 years ago
- Stock market and Twitter data☆30May 3, 2017Updated 9 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago