Time Series Forecasting Of Amazon Stock Prices Using Neural Networks Lstm And Gan

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Stock Prediction Models	6,233	a year ago	46	apache-2.0	Jupyter Notebook
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Lstm Neural Network For Time Series Prediction	4,220	a year ago	47	agpl-3.0	Python
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Stockpredictionai	3,235	2 years ago	320
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 Rnn	1,339	2 years ago	20		Python
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Stockpriceprediction	1,132	9 months ago	10	mit	Jupyter Notebook
Stock Price Prediction using Machine Learning Techniques
Personae	1,034	5 years ago	8	mit	Python
📈 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 Analysis	460	3 months ago	21	mit	Python
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 Lstm	425	a year ago	3		Python
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Stocks_rnn	405	8 years ago	5	apache-2.0	Python
Stock price prediction with LSTMs in TensorFlow
Stock Prediction Deep Neural Learning	385	4 months ago		cc0-1.0	Jupyter Notebook
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting