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The algo selects coins for the highest volume on the last 30 days. There are some coins that just don´t make sense, for example:
A coin that was delisted, or only introduced recently - no data for training.
Another bad coin data is reverse coins, I believe that will really mess up things with ML since it is reversed.
Another concern is using coins that are not pegged to the same pair, like ETH/BTC and ETH/USDT. There is supposed to be a zero-risk cash, be that BTC or USDT.
Yet another case is using the same coin that is pegged to different stable coins, like ETH/USDT and ETH/USDC. That is actually two pairs but virtually the same data.
Do you filter our those coins? How to deal with that?
Thanks again,
Jose
The text was updated successfully, but these errors were encountered:
Hi,
The algo selects coins for the highest volume on the last 30 days. There are some coins that just don´t make sense, for example:
A coin that was delisted, or only introduced recently - no data for training.
Another bad coin data is reverse coins, I believe that will really mess up things with ML since it is reversed.
Another concern is using coins that are not pegged to the same pair, like ETH/BTC and ETH/USDT. There is supposed to be a zero-risk cash, be that BTC or USDT.
Yet another case is using the same coin that is pegged to different stable coins, like ETH/USDT and ETH/USDC. That is actually two pairs but virtually the same data.
Do you filter our those coins? How to deal with that?
Thanks again,
Jose
The text was updated successfully, but these errors were encountered: