model metadata

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Dobromir Popov
2025-11-12 14:37:23 +02:00
parent 4c04503f3e
commit 0c987c3557
4 changed files with 88 additions and 9 deletions

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@@ -120,4 +120,8 @@ Let's use the mean squared difference between the prediction and the empirical o
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can we check the "live inference" mode now. it should to a realtime inference/training each second (as much barches as can pass in 1s) and prediction should be next candle - training will be retrospective with 1 candle delay (called each s, m, h and d for the previous candle when we know the result)
calculate the angle between each 2 candles features and train to predict those (top- top; open -open, etc.)
calculate the angle between each 2 candles features and train to predict those (top- top; open -open, etc.)
use this for sentiment analysis:
https://www.coinglass.com/LongShortRatio