These aren't simulations. Every number below is from a live account, auditable through the anti-repaint log.
Alex spent two years manually trading tech stocks — spending 3+ hours a day watching charts, constantly second-guessing signals, and losing sleep over overnight positions. His Sharpe ratio on manual trades was 0.6.
He started Avero on paper mode in February with a simulated $10,000. After 4 weeks of watching the ensemble make decisions he agreed with but executed faster and more consistently, he went live with $8,000.
The turning point came in mid-March when a volatility spike triggered the daily loss circuit breaker — automatically closing two positions at a small loss instead of the catastrophic drawdown that would have followed. Alex hadn't even seen the news yet.
The circuit breaker saved me $1,200 on a day I was in back-to-back meetings. That one moment paid for a year of Pro+ subscription.
Sarah works as a financial analyst by day. She came to Avero skeptical — she builds models professionally and was certain she could beat a retail AI platform. She was wrong, and she's the first to admit it.
The difference wasn't intelligence. It was consistency. Sarah's manual signals were good; her execution was emotional. She'd hold losers too long and cut winners too early. Avero's anti-repaint enforcement and automated position sizing removed both failure modes simultaneously.
She runs the Quantum Intelligence Suite add-on, using the Monte Carlo stress tester as a pre-trade gate — any position with survival probability below 80% is automatically blocked before reaching her broker.
I've built DCF models for a decade. What I couldn't build was the discipline to follow them. Avero solved the human part of the equation.
Free tier includes paper trading — no credit card, no risk. See what 31 AI models see.