| 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. |
| VivekPa/AIAlpha |
1,547 |
|
0 |
0 |
almost 6 years ago |
0 |
|
8 |
mit |
Python |
| Use unsupervised and supervised learning to predict stocks |
| scorpionhiccup/StockPricePrediction |
1,132 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
mit |
Jupyter Notebook |
| Stock Price Prediction using Machine Learning Techniques |
| jankrepl/deepdow |
790 |
|
0 |
0 |
about 2 years ago |
5 |
February 16, 2021 |
26 |
apache-2.0 |
Python |
| Portfolio optimization with deep learning. |
| VivekPa/IntroNeuralNetworks |
691 |
|
0 |
0 |
over 6 years ago |
0 |
|
5 |
mit |
Python |
| Introducing neural networks to predict stock prices |
| kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis |
460 |
|
0 |
0 |
about 2 years ago |
0 |
|
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 |
| chancefocus/PIXIU |
309 |
|
0 |
0 |
about 2 years ago |
0 |
|
4 |
mit |
Python |
| This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI). |
| devfinwiz/Fin-Maestro-Web |
168 |
|
0 |
0 |
over 2 years ago |
2 |
October 06, 2023 |
0 |
mit |
Python |
| Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis. |
| JinanZou/Astock |
142 |
|
0 |
0 |
over 2 years ago |
0 |
|
6 |
|
Jupyter Notebook |
| Astock |
| 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. |
