Methodology
How to Measure If a Trading Influencer Actually Beats the Market
A practical framework to evaluate trading influencers using hit rate, drawdown, risk-adjusted return, and benchmark-relative performance.
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From social noise to measurable signal.
InfluencerQ shows which creators generate repeatable alpha — and which ones just generate views.
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Influencer Studies
The Hidden Cost of Following Bad Trading Signals
Bad signals compound losses through drawdowns, missed opportunities, and behavior drift. Learn how to quantify and reduce that hidden cost.
Market Analysis
Why Most YouTube Trading Calls Lose Money — A Data-Driven Look
YouTube trading calls often fail after costs and latency. Learn why and how to measure advice accuracy with a risk-aware framework.