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. 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☆202Feb 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☆619Mar 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☆1,939Jun 17, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,732Mar 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☆809May 21, 2016Updated 9 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆287Jul 11, 2023Updated 2 years ago
- Deep Learning based Python Library for Stock Market Prediction and Modelling☆2,272Jan 17, 2021Updated 5 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆322Aug 4, 2020Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆53Sep 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
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆216Sep 27, 2017Updated 8 years ago
- Introducing neural networks to predict stock prices☆773Aug 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
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆622Mar 25, 2023Updated 3 years ago
- Stock Prediction using machine learning☆59Dec 27, 2017Updated 8 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☆1,534Aug 8, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019☆222Mar 24, 2023Updated 3 years ago
- Stock Market Prediction Using Unsupervised Features☆382Jan 23, 2023Updated 3 years ago
- Programs for stock prediction and evaluation☆372Updated this week
- 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☆320May 18, 2017Updated 8 years ago
- ☆229Aug 4, 2020Updated 5 years ago
- Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations☆9,297Apr 16, 2023Updated 2 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆422Oct 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
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.☆1,864Feb 11, 2024Updated 2 years ago
- Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Ti…☆2,254Aug 27, 2022Updated 3 years ago
- Learning to trade under the reinforcement learning framework☆518Oct 15, 2016Updated 9 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆122Feb 24, 2022Updated 4 years ago
- Stock Price Predictor with Deep Learning☆11Aug 5, 2017Updated 8 years ago
- Stock market and Twitter data☆29May 3, 2017Updated 8 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago