Frequently Asked Questions
Common questions about our data, our math, and our mission.
How do you determine the timeframe for each prediction?
To ensure objectivity, we use Fixed Time Intervals. Since creators rarely issue clear "Sell" alerts, we track the performance of every "Buy" call at 1-month, 3-month, and 12-month benchmarks.
This prevents "cherry-picking" where a creator might claim victory on a stock that spiked for one day but then crashed. We measure the sustained value of the advice.
Does one lucky "home run" skew a creator's rating?
It can, which is why we display two metrics: Average Alpha and Win Rate.
A creator might have a high "Average Alpha" because of one 500% gain, even if they were wrong 9 times out of 10. By looking at the Win Rate (Accuracy %), you can see if a creator is consistent or just lucky.
How do you know if a creator is actually skilled vs just lucky?
We run a simple "skill vs luck" check on every creator.
If a creator only has a few predictions (or one big winner), their results can look amazing by chance. So we ask: "Is their performance strong enough — across enough predictions — that it's unlikely to be random?"
When the data clears that bar, we mark the creator as Statistically Significant. If it doesn't, we label it Not Significant — meaning: interesting, but not proven yet.
Think of it like flipping a coin: getting heads 3 times in a row doesn't prove the coin is special — but getting heads 70 out of 100 flips might.
Do you weight long-term calls differently than short-term trades?
Currently, all calls are weighted equally in the aggregate score. We believe a 10% profit is a 10% profit, regardless of how long it took.
However, we tag predictions as "Short Term" or "Long Term" in the database so you can filter the leaderboard based on your own investing style.
Is the creator performance data a normal bell curve?
No, the data is skewed negative. The majority of creators cluster slightly to the left of zero (underperforming the S&P 500).
However, there is a "fat tail" to the right side of the distribution. A small percentage of creators generate massive alpha that defies the statistical probability of a normal distribution. These are the "Diamonds in the Rough" our platform is designed to find.