timestocome / Test-stock-prediction-algorithmsLinks
Use deep learning, genetic programming and other methods to predict stock and market movements
☆427Updated 3 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☆200Updated 4 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆612Updated 2 years ago
- Stock analysis/prediction model using machine learning☆188Updated 7 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆757Updated 9 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆268Updated last year
- Regression, Scrapers, and Visualization☆396Updated last year
- A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fi…☆238Updated last year
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆482Updated 3 years ago
- Introducing neural networks to predict stock prices☆757Updated 5 years ago
- Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.☆463Updated 8 years ago
- Predicting stock price using historical data of a company, using Neural networks (LSTM).☆153Updated 5 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆322Updated 4 years ago
- Predict Stocks Market Machine Learning☆254Updated 10 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆409Updated 5 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆596Updated 2 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆554Updated 4 years ago
- ☆115Updated 8 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆312Updated 4 years ago
- Stock Market Prediction Using Unsupervised Features☆352Updated 2 years ago
- Programs for stock prediction and evaluation☆361Updated 6 months ago
- Quantitative finance research tools in Python☆427Updated 2 years ago
- An open source library for portfolio optimisation☆360Updated last year
- http://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/☆241Updated 10 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆317Updated 8 years ago
- Applying Reinforcement Learning in Quantitative Trading☆349Updated last year
- Technical experimentations to beat the stock market using deep learning☆477Updated 8 years ago
- CNN for stock market prediction using raw data & candlestick graph.☆165Updated 5 years ago
- Use NLP to predict stock price movement associated with news☆840Updated 11 months ago
- Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…☆278Updated 3 years ago
- Quantitative Finance and Algorithmic Trading☆362Updated 9 years ago