ashishpapanai/stockDL
A financial deep learning library for stocks price prediction and comparison with traditional investment strategies. The Library is based on LSTM-Neural Networks and Conv1D + LSTM Neural Networks. Investments are subject to market risks, The AUTHOR HOLDS NO RESPONSIBILITY for any financial loss.
This tool helps individual investors and financial analysts predict stock prices and compare different investment strategies. You provide a stock ticker, and it outputs potential stock price movements and detailed financial performance metrics like total gross yield and annual net yield. This is ideal for those managing personal portfolios or advising clients on stock investments.
No commits in the last 6 months. Available on PyPI.
Use this if you want to compare how a stock might perform under traditional (Buy and Hold, Moving Average) versus deep learning strategies (LSTM, Conv1D + LSTM) to inform your trading decisions.
Not ideal if you need to analyze broad market trends or complex derivatives, as this tool focuses on single stock predictions and comparisons.
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Language
Python
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Last pushed
Nov 22, 2021
Commits (30d)
0
Dependencies
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