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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96 Stars

39 Forks

96 Watchers

Python Language

100 SrcLog Score

Cost to Build

$84.7K

Market Value

$147.8K

How is this calculated?

Growth over time

8 data points · 2021-08-01 → 2026-04-01

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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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How to clone stock-volatility-google-trends

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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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