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This question is about BTC high frequency trading dataset provided.
From the csv file. Some columns like [bid1_price] has number [23090.7], but other columns like [high] have number [-0.8507737401414914]. Seems like some columns are normalized but others are not. Please advise how these data are preprocessed so I can put my own data into training.
Also about preprocessing, README indicate that the data is from Kaggle, which I found the original data doesn't contain indicators in the csv file. Wondering if it's possible disclose how those technical indicators are preprocessed.
Thank you
The text was updated successfully, but these errors were encountered:
EarnHFT contains a more detailed description of the data preprocess, which members also develop from TradeMaster. For high-frequency trading for crypto, the two repos share the same setting, and EarnHFT is much easier to read.
This question is about BTC high frequency trading dataset provided.
From the csv file. Some columns like [bid1_price] has number [23090.7], but other columns like [high] have number [-0.8507737401414914]. Seems like some columns are normalized but others are not. Please advise how these data are preprocessed so I can put my own data into training.
Also about preprocessing, README indicate that the data is from Kaggle, which I found the original data doesn't contain indicators in the csv file. Wondering if it's possible disclose how those technical indicators are preprocessed.
Thank you
The text was updated successfully, but these errors were encountered: