nayash / Stock-Price-PredictionLinks
Predicting stock price using historical data of a company, using Neural networks (LSTM).
☆154Updated 6 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
Sorting:
- Programs for stock prediction and evaluation☆364Updated 3 weeks ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆281Updated 2 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆433Updated 4 years ago
- 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 Market Prediction Using Unsupervised Features☆366Updated 2 years ago
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆172Updated 5 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
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆613Updated 2 years ago
- LSTM RNN for sentiment-based stock prediction☆66Updated 7 years ago
- Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot☆340Updated 4 years ago
- Predicting stock market movement with EDA and Keras☆199Updated 5 years ago
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆137Updated last year
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 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 …☆134Updated 3 years ago
- Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers t…☆103Updated 2 years ago
- Stock analysis/prediction model using machine learning☆191Updated 7 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆506Updated 4 years ago
- Algorithmic Trading using Sentiment Analysis on News Articles☆170Updated 4 years ago
- A small Python library with most common stock market indicators☆228Updated 6 years ago
- Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network☆127Updated 5 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
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆218Updated last year
- ☆55Updated 6 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆414Updated 6 years ago
- A machine learning program that is able to recognize patterns inside Forex or stock data☆152Updated 5 years ago
- Algorithmic trading using machine learning.☆117Updated 7 years ago
- ☆202Updated 3 weeks ago
- Predicting Forex Future Price with Machine Learning☆293Updated 2 years ago
- ☆185Updated 6 years ago