Understanding Why Trading Data Should Be Clean
Incorrect timestamps, duplicate trades, missing costs, or inconsistent labels can distort analysis. Clean data is essential when making decisions based on statistics.
Incorrect timestamps, duplicate trades, missing costs, or inconsistent labels can distort analysis. Clean data is essential when making decisions based on statistics.
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