When AI stocks are rising, AI-themed coins also rise—does that prove the two are related?
Not necessarily. The three most common issues are:
1. U.S. stocks trade within specific market hours, while the crypto market runs 24 hours. Directly aligning by date will include after-hours and overnight movements;
2. TAO, FET, and RENDER differ in market cap, liquidity, and business exposure, so you can’t treat them as a single “AI index”;
3. A day of synchronized gains is just co-occurrence. Correlation requires a rolling window, consistent frequency, and you also need to remove the BTC broad-market factor.
In my usual workflow, I first do time alignment and data filtering, then compute rolling correlations. First check “does it look similar,” then ask “why does it look similar.” If you get the order wrong, it’s easy to mistake coincidence for a conclusion.
How would you compare AI coins and AI stocks?
A: Look only at same-day moves
B: Rolling correlation
C: First align trading hours
D: First remove the broad-market factor
#AI #量化 #相关性 #行情数据 #数据控
Not necessarily. The three most common issues are:
1. U.S. stocks trade within specific market hours, while the crypto market runs 24 hours. Directly aligning by date will include after-hours and overnight movements;
2. TAO, FET, and RENDER differ in market cap, liquidity, and business exposure, so you can’t treat them as a single “AI index”;
3. A day of synchronized gains is just co-occurrence. Correlation requires a rolling window, consistent frequency, and you also need to remove the BTC broad-market factor.
In my usual workflow, I first do time alignment and data filtering, then compute rolling correlations. First check “does it look similar,” then ask “why does it look similar.” If you get the order wrong, it’s easy to mistake coincidence for a conclusion.
How would you compare AI coins and AI stocks?
A: Look only at same-day moves
B: Rolling correlation
C: First align trading hours
D: First remove the broad-market factor
#AI #量化 #相关性 #行情数据 #数据控
