jinglescode/time-series-forecasting-tensorflowjs
Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework
This project helps financial enthusiasts and data scientists explore how past stock price data can be used to forecast future trends. It takes historical daily or weekly stock prices from an online API and processes them to generate predictions using a neural network. The output is a visual representation of predicted stock prices compared to actual historical data, demonstrating the concept of time series forecasting.
168 stars. No commits in the last 6 months.
Use this if you are a student, researcher, or hobbyist interested in understanding the basics of stock price prediction using machine learning, specifically Long Short Term Memory networks.
Not ideal if you are a trader looking for a reliable tool to make actual stock market investment decisions, as this project is strictly for educational purposes and not a predictive trading tool.
Stars
168
Forks
51
Language
HTML
License
Apache-2.0
Category
Last pushed
May 20, 2021
Commits (30d)
0
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