| huseinzol05/Stock-Prediction-Models |
6,233 |
|
0 |
0 |
almost 3 years ago |
0 |
|
46 |
apache-2.0 |
Jupyter Notebook |
| Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations |
| LastAncientOne/Deep_Learning_Machine_Learning_Stock |
1,721 |
|
0 |
0 |
about 2 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders. |
| jankrepl/deepdow |
790 |
|
0 |
0 |
about 2 years ago |
5 |
February 16, 2021 |
26 |
apache-2.0 |
Python |
| Portfolio optimization with deep learning. |
| pskrunner14/trading-bot |
758 |
|
0 |
0 |
over 2 years ago |
0 |
|
16 |
mit |
Jupyter Notebook |
| Stock Trading Bot using Deep Q-Learning |
| flo7up/relataly-public-python-tutorials |
109 |
|
0 |
0 |
over 2 years ago |
0 |
|
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. |
| KittenCN/stock_prediction |
77 |
|
0 |
0 |
over 2 years ago |
0 |
|
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 |
| timothyyu/wsae-lstm |
61 |
|
0 |
0 |
about 4 years ago |
0 |
|
27 |
other |
Jupyter Notebook |
| implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017) |
| Prakash2403/Chase |
58 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
mit |
Python |
| Automatic trading bot (WIP) |
| TatevKaren/recurrent-neural-network-pricing-model |
42 |
|
0 |
0 |
over 2 years ago |
0 |
|
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) |
| wyu-du/StockForecast |
42 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
mit |
Python |
| :dart: predict the price trend of individual stocks using deep learning and natural language processing |
