Skip to content

Latest commit

 

History

History
20 lines (13 loc) · 485 Bytes

README.md

File metadata and controls

20 lines (13 loc) · 485 Bytes

kitchensink-ml

Machine learning strategy that trains the model using "everything and the kitchen sink": fundamentals, technical indicators, returns, price levels, volume and volatility spikes, liquidity, market breadth, and more. Runs in Moonshot.

Clone in QuantRocket

CLI:

quantrocket codeload clone 'kitchensink-ml'

Python:

from quantrocket.codeload import clone
clone("kitchensink-ml")