Amount Parameter Details
Hello,
Great work with this model; I was just trying to test your model (Kronos-base).
Could you please clarify the following:
In the demo implementation, predictor.predict() receives a dataframe with six columns:
open
high
low
close
volume
amount
where amount is populated from Binance quote_asset_volume.
For the released kronos-base model:
Is the sixth feature (amount) actually consumed by the deployed model during inference?
Is amount expected to represent exchange turnover (quote asset volume / traded value) for each bar?
If a data source does not provide quote turnover directly (for example Indian equity or options markets), should amount be:
actual exchange turnover,
Σ(price × traded quantity),
omitted,
zero,
or another derived value?
Is the model trained assuming this sixth feature is available, or is it optional?
Thank you.