stock-volatility-google-trends

philipperemy

Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf

keras

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83 Stars

40 Forks

83 Watchers

Python Language

Cost to Build

$84.4K

Market Value

$144.1K

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2023-07-01

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What is the philipperemy/stock-volatility-google-trends GitHub project? Description: "Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/philipperemy/stock-volatility-google-trends.git

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Download master.zip

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