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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. Utilizes data from Sharadar and IB.

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quantrocket-codeload/kitchensink-ml

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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")

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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. Utilizes data from Sharadar and IB.

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