ai-agent

Stock-price-prediction-using-GAN: Predict Stock Prices

Get stock market predictions using LSTM and GAN for data-driven decisions, ideal for startup founders in finance.
269 stars106 forksJupyter NotebookGuide quality 8/10Updated 6/24/2021100% free · open source
What it does

This tool uses LSTM and GAN algorithms to predict stock market prices, allowing startup founders in finance to make data-driven decisions

When to use it
  • When you need to analyze the impact of news on stock prices
  • When you want to compare the performance of LSTM and GAN algorithms for stock market prediction
  • When you need to generate predictions for stock prices based on historical data
Ready-to-paste prompt
Run the following command in the Jupyter Notebook: `python Stock_Prediction_LSTM.py --stock_symbol AAPL --time_period 2020-2022` to predict the stock prices for Apple (AAPL) from 2020 to 2022
Heads up: Make sure you have the necessary libraries installed, including TensorFlow, Keras, and NLTK, and that you have a compatible version of Python (e.g. Python 3.8 or later) to run the Jupyter Notebook
Saves to your device
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Claude Code
mkdir -p ~/.claude/skills/stock-price-prediction-using-gan && curl -fsSL https://workflowstacks.com/api/skills/stock-price-prediction-using-gan/claude-skill -o ~/.claude/skills/stock-price-prediction-using-gan/SKILL.md
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claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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What's inside — free to inspect

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2
top-level files
5
folders
104.9M
source size
MIT
license
Key files
README.md
File tree
Code/
Meeting Note/
Paper and Report/
Presentation_Document/
Relevant Articles/
LICENSE
README.md
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Details
Creator
hungchun-lin
Language
Jupyter Notebook
Category
ai-agent
Published
9/20/2020

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