A strategy can look robust because it works across 20 different tokens.
But there is a hidden question:
Did you really test 20 independent markets?
If those assets share the same liquidity cycle, respond to BTC in similar ways, and attract the same type of speculative capital, your sample may contain far less independent evidence than it appears.
This is effective sample size.
500 highly correlated observations do not necessarily provide the same confidence as 500 genuinely independent ones.
That matters when deciding how aggressively an apparent edge should be funded.
Known execution costs are easier to control. For eligible new users, CODE2026 can reduce qualifying Binance Spot trading fees by 20%.
Statistical confidence is harder.
More data is useful only when it contains more information.
Do not confuse the number of observations with the amount of evidence.
A large dataset can still be a small sample wearing a bigger number.
But there is a hidden question:
Did you really test 20 independent markets?
If those assets share the same liquidity cycle, respond to BTC in similar ways, and attract the same type of speculative capital, your sample may contain far less independent evidence than it appears.
This is effective sample size.
500 highly correlated observations do not necessarily provide the same confidence as 500 genuinely independent ones.
That matters when deciding how aggressively an apparent edge should be funded.
Known execution costs are easier to control. For eligible new users, CODE2026 can reduce qualifying Binance Spot trading fees by 20%.
Statistical confidence is harder.
More data is useful only when it contains more information.
Do not confuse the number of observations with the amount of evidence.
A large dataset can still be a small sample wearing a bigger number.
