timestocome / Test-stock-prediction-algorithmsLinks
Use deep learning, genetic programming and other methods to predict stock and market movements
☆433Updated 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:
- Stock analysis/prediction model using machine learning☆191Updated 7 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆617Updated 2 years ago
- Plain Stock Close-Price Prediction via Graves LSTM RNNs☆202Updated 4 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆322Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆366Updated 2 years ago
- Introducing neural networks to predict stock prices☆765Updated 6 years ago
- Regression, Scrapers, and Visualization☆398Updated 2 years ago
- An open source library for portfolio optimisation☆364Updated last year
- A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fi…☆241Updated last year
- Using deep actor-critic model to learn best strategies in pair trading☆319Updated 8 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆558Updated 4 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆414Updated 6 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆281Updated 2 years ago
- Programs for stock prediction and evaluation☆364Updated 3 weeks ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆784Updated 9 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆506Updated 4 years ago
- In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.☆266Updated 6 years 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…☆285Updated 4 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Predicting stock price using historical data of a company, using Neural networks (LSTM).☆154Updated 6 years ago
- Predict Stocks Market Machine Learning☆260Updated 11 years ago
- Applying Reinforcement Learning in Quantitative Trading☆350Updated last year
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆313Updated 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…☆148Updated 8 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆613Updated 2 years ago
- http://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/☆244Updated 10 years ago
- Machine Learning for finance and investment introduction☆260Updated 7 years ago
- Quantitative finance research tools in Python☆439Updated 2 years ago
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆218Updated last year
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆137Updated last year