stock2vec

ml-hongkong

Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history

finance

View on GitHub

36 Stars

13 Forks

36 Watchers

Jupyter Notebook Language

Cost to Build

$46.4K

Market Value

$63.0K

How is this calculated?

Growth over time

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

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about stock2vec

Question copied to clipboard

What is the ml-hongkong/stock2vec GitHub project? Description: "Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone stock2vec

Clone via HTTPS

git clone https://github.com/ml-hongkong/stock2vec.git

Clone via SSH

[email protected]:ml-hongkong/stock2vec.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the stock2vec issue tracker:

Open GitHub Issues

Similar to stock2vec

vnpy tushare dash rqalpha ta-lib-python Lean awesome-quant StockSharp math-php firefly-iii awesome-quant bulbea akaunting gooderp_addons pandas-datareader yahoo-finance alphalens fooltrader go-finance alpha_vantage moneymanagerex fecon235 Strata grs quantmod IEX-API Blog economizzer receipt-parser parity