Ai Investibot
Innovative, high quality stock bot
| 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
Deep Learning
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Tensorflow
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Neural Network
Keras
Finance
Trading
Algorithmic Trading
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Stock Price Prediction