Stock Price Predictor

🤖 Predicting the stock price with LSTM (Deep Learning)
Alternatives To Stock Price Predictor
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Stock Prediction Models6,233
a year ago46apache-2.0Jupyter Notebook
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Lstm Neural Network For Time Series Prediction4,220
a year ago47agpl-3.0Python
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Stockpredictionai3,235
2 years ago320
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Stock Rnn1,339
2 years ago20Python
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Stockpriceprediction1,132
8 months ago10mitJupyter Notebook
Stock Price Prediction using Machine Learning Techniques
Personae1,034
5 years ago8mitPython
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis460
2 months ago21mitPython
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
Stock Price Prediction Lstm425
a year ago3Python
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Stocks_rnn405
8 years ago5apache-2.0Python
Stock price prediction with LSTMs in TensorFlow
Stock Prediction Deep Neural Learning385
3 months agocc0-1.0Jupyter Notebook
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
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