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.

High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

Data and code of my Medium story on stock prediction with TensorFlow

Plain Stock Close-Price Prediction via Graves LSTM RNNs

Intra day Stock Prediction 10 minutes into the future

daily stock screening by using Mark Minervini's volatility contraction pattern detection, stage 2 template searching and news sentiment analysis by openAi api

Stock Predictions through NYTimes article headlines sentiment analysis.

Stock Prediction demo using Spring XD, Apache Geode and R. Presented at ApacheCon, IMCSummit and other conferences.

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本项目对美股股票的涨跌进行了研究，从问题出发并提出猜想，然后定义了机器学习的实验任务。通过多次实验得到实验数据，最终证明了所提出的猜想：中国股市确实和美国股市存在着一定的联系，并且通过这些隐含的联系可以预测某些美国股票的涨跌。

Stock Prediction using Convolutional Neural Network and TensorflowJS

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Stock Prediction by Reinforcement Learning and RNN

A dataset of financial news is used to fine-tune BERT in order to extract investment opportunities.

Predicting stock value

华量杯-股票预测

This repository delineates the affect of social perception on the stock price of a company

An attempt to use financial news to predict stock market

This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Amazon's stock prices in the past five years and achieved a satisfying prediction result.

Uisng CNN to predicte stock market trend, and feeding with 2D images

A simple LSTM-based machine learning project to predict stock prices using historical data.

Data mining project to predict stock prices on basis of sentiments.

Tools for getting and modeling Chinese stocks

Solana-based Stock Prediction DApp: Bet on stock prices, win rewards for accurate predictions. Explore financial markets like never before

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Hobby project in NLP-based ML on predicting numerical time series using a self made transformer model (to be done) and toggle it by creating a web application.

根据股票因子预测未来价格涨跌（tensorflow）

股票预测，主要用于熟悉LSTM，gru等时序网络

This project uses LSTM neural networks to predict stock prices, specifically focusing on Netflix (NFLX). It collects historical stock price data from Yahoo Finance, preprocesses the data, engineers features, and trains the model to forecast future stock prices. Ideal for aiding investors and traders in decision-making.