Methodology
How to Measure If a Trading Influencer Actually Beats the Market
A mobile-first framework to evaluate trading influencers with clear thresholds, benchmark matching, and risk-aware allocation rules.
Read article →InfluencerQ Research
InfluencerQ shows which creators generate repeatable alpha — and which ones just generate views.
A mobile-first framework to evaluate trading influencers with clear thresholds, benchmark matching, and risk-aware allocation rules.
Read article →Bad signals hurt more than hit rate suggests. This guide quantifies capital drag, behavior drag, and process drag with decision tables.
A compact framework to test YouTube trading advice accuracy with bias checks, PnL leakage controls, and channel triage rules.