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Product

How elvaro works

You see one agent. Behind it, a coordinated team of specialists does the work, each grounded in live market data, each aware of your profile.

The architecture

You ask Coordinator agent understands intent, routes the work 📈 Market analyzer prices · trends · sentiment technical indicators 🎯 Trader signals · entries & exits take-profit / stop-loss levels 💼 Portfolio manager position context · goals risk profile LIVE DATA LAYER Live prices Onchain activity Technicals Sentiment & Fear/Greed refreshed continuously, fetched per question, never answered from stale memory
One question in, one answer out, with a full research pass in between.

What happens when you ask a question

Say you ask: "Should I take profit on my SOL position?"

StepWhat happens
1 · RouteThe coordinator reads your question and identifies what's needed: current SOL data, your position, and an exit analysis.
2 · ResearchSpecialists fetch live prices, compute technical indicators, check onchain and sentiment signals, and factor in the position details you've shared and your risk profile.
3 · AnalyzeThe trader agent weighs the evidence, trend, momentum, market sentiment, against your goals and time horizon.
4 · AnswerYou get a reasoned recommendation with the data behind it, streamed to you in seconds, including concrete levels, not vague hand-waving.

You watch this happen in real time: elvaro shows its progress, fetching prices, loading signals, running analysis, as it works. No black box.

Personal context, by design

Every answer passes through the lens of your profile: the goals, risk tolerance, and preferences you set during onboarding, plus any positions you share in conversation. Two users asking the same question can get different answers, because they should.

Always-on monitoring

Between your questions, elvaro keeps working: producing hourly market summaries, tracking the Fear & Greed Index, and watching open signals against their take-profit and stop-loss levels. When something crosses a threshold, you get an alert, in the app or on Telegram, instead of finding out hours later.

Transparency noteThis page describes elvaro's architecture at a conceptual level. We keep implementation specifics private for security, but the shape of the system, coordinator, specialists, live data grounding, is exactly what runs in production.