A-safarji/Time-series-deep-learning
Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.
This project helps financial professionals and individual investors predict future stock prices. It takes historical stock data as input and produces multi-step forecasts, indicating potential price movements. The tool is designed for anyone interested in applying advanced deep learning techniques to anticipate market trends.
No commits in the last 6 months.
Use this if you are a financial analyst, trader, or investor who wants to use deep learning models to forecast stock prices based on historical data.
Not ideal if you need a solution for real-time trading decisions, as this is a tutorial and implementation for forecasting, not a live trading system.
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79
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13
Language
Jupyter Notebook
License
MIT
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Last pushed
Feb 15, 2022
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