nayash / Stock-Price-Prediction
Predicting stock price using historical data of a company, using Neural networks (LSTM).
☆154Updated 5 years ago
Alternatives and similar repositories for Stock-Price-Prediction:
Users that are interested in Stock-Price-Prediction are comparing it to the libraries listed below
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆168Updated 4 years ago
- LSTM RNN for sentiment-based stock prediction☆64Updated 7 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Algorithmic Trading using Sentiment Analysis on News Articles☆169Updated 4 years ago
- ☆181Updated 6 years ago
- Stock analysis/prediction model using machine learning☆187Updated 7 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆263Updated last year
- ☆191Updated 3 months ago
- ☆55Updated 5 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆424Updated 3 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…☆271Updated 3 years ago
- Programs for stock prediction and evaluation☆356Updated 2 months ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆587Updated last year
- ☆102Updated 6 years ago
- A small Python library with most common stock market indicators☆226Updated 5 years ago
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆211Updated last year
- Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Por…☆210Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆343Updated 2 years ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆133Updated 2 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.☆54Updated 8 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆305Updated 4 years ago
- Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader☆184Updated 2 years ago
- Trading environnement for RL agents, backtesting and training.☆166Updated 2 years ago
- Source code from the youtube video☆77Updated last year
- Stock Fundamental Analysis using Machine Learning Classification Models☆103Updated 3 years ago
- Pair Trading Strategy using Machine Learning written in Python☆114Updated 2 years ago
- Comparison of few deep learning models on 15m interval USD/EUR time series data☆44Updated 6 years ago
- We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.☆259Updated 2 years ago
- Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trad…☆118Updated 3 years ago