Stock Market Prediction
An attempt to predict the Stock Market Price using Long Short Term memory and plot its chart. By tweaking different hyper parameters, we get different trained models. The aim of this project is to identify the relation hidden in these hyper parameters.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | 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 | ||||||||||
| Deep_learning_machine_learning_stock | 1,093 | 2 months ago | 4 | mit | Jupyter Notebook | |||||
| Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders. | ||||||||||
| Deepdow | 790 | 3 months ago | 5 | February 16, 2021 | 26 | apache-2.0 | Python | |||
| Portfolio optimization with deep learning. | ||||||||||
| Trading Bot | 758 | 5 months ago | 16 | mit | Jupyter Notebook | |||||
| Stock Trading Bot using Deep Q-Learning | ||||||||||
| Relataly Public Python Tutorials | 109 | 9 months ago | 2 | cc-by-sa-4.0 | Jupyter Notebook | |||||
| Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog. | ||||||||||
| Stock_prediction | 77 | 5 months ago | 8 | gpl-3.0 | Python | |||||
| 基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks | ||||||||||
| Wsae Lstm | 61 | 2 years ago | 27 | other | Jupyter Notebook | |||||
| implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017) | ||||||||||
| Chase | 58 | 6 years ago | 3 | mit | Python | |||||
| Automatic trading bot (WIP) | ||||||||||
| Recurrent Neural Network Pricing Model | 42 | 6 months ago | 2 | Python | ||||||
| Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code) | ||||||||||
| Stock_price_prediction_with_rnns | 42 | 7 years ago | Jupyter Notebook | |||||||
| Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement. | ||||||||||
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Python
Jupyter Notebook
Deep Learning
Machine Learning
Lstm
Recurrent Neural Networks
Lstm Neural Networks
Stock Price Prediction