Solana wallet intelligence and ranking. Discover high-signal wallets. Classify their behavior. Measure performance. Trace information networks. Backtest copy returns. Attribute the source of alpha. Phoenix Research™ phoenixresearch.app

Should you always copy-sell a wallet? Depends. Compare its realized returns with the entry-window return distribution. Some traders are strong at exits → copy-sell can make sense. Others show a much stronger entry-window signal → the opportunity may come before the lead wallet exits. That creates extra capacity from the same strategy: **Enter. Capture the window. Exit before the lead wallet.** A capability available to Phoenix Research users.

Where does a high-entry-Sharpe trader actually make money? Overall return: 20%. But Driver Analysis tells a very different story. Break it down by entry price, most profit comes from <$5.3K entry cap. That concentration pushes the average equity curve toward the 75th percentile of the return band. The takeaway? **Don’t just measure the signal. Find where its value is concentrated.**

A top dev’s entry window: * 11 recent mints, 600% avg return at peaks — in just the first few seconds. * 91% of them cleared 100%+ profit. Strong signal for snipers. Phoenix Research turns wallet history into an actionable view of when the signal peaks — and how fast it fades

Some traders are simply built for low-cap. 152 recent trades reveal a clear signal window: * $5.4K–$19.4K entry cap * First 2 minutes on entry That’s where this trader’s signal carried the most value. Other ranges can work too — but they demand tighter entry timing and take-profit settings, with more scrutiny. **Driver Analysis shows you where a trader’s signal actually works.** Don’t just find a wallet. **Find its operating range.**

Can you actually copy a top copy trader? Not by simply copying every trade. The real question is: where does the trader generate returns? This chart breaks down a top copy trader’s entry-window performance by entry price — 190 trades over 3 days. At the low-cap end (purple, orange), elite copiers and snipers can consume most of their capacity quickly. Performance plateaued and dropped shortly after. But toward higher cap (green, blue), something interesting happens: The equity curve can keep climbing — while meaningful opportunities remain. That’s where Driver Analysis becomes useful. Study how top copiers trade. See how they utilize high-signal wallets. Identify where performance comes from across different entry conditions. Then turn those observations into your own actionable trading plan — from low-cap opportunities to higher-cap setups. **Don’t just copy the trade. Study the behavior behind the returns.** Phoenix Research™

Same wallet. Same 30-second entry window. Different performance profile. We compared the recent trades with trades 2 weeks ago. The shift is clear: • < $6.3K entry cap → stronger returns today • > $6.3K entry cap → weaker returns today The market has been strong lately — but the important question is where the performance is actually coming from. Phoenix Research breaks wallet performance down by entry market price, making it possible to see how a wallet’s short-horizon returns are being attributed across different entry conditions. Not just: “Did this wallet perform?” But: “At what entry conditions did it perform — and has that changed?” That distinction matters when evaluating wallet behavior in a changing market.

Most traders focus on what wallets buy. We focus on how they enter. Entry timing, return drivers, follower dynamics, liquidity context, structural patterns — not surface-level PnL alone. We’ve put together a simple page on this: phoenixresearch.app Limited access for now

Appreciate the balanced review. One thing that stood out — professional charts and in-depth attribution most tools don’t offer, with strong focus on entry timing & real trading edges. The focus on how outcomes vary even when the same wallets are followed. That’s exactly the gap we’re trying to solve: behavior and timing, not just picks. Still early, and feedback like this helps shape it further.

For this trader, initial volatility at entry strongly predicts performance. Low volatility trades underperform. High volatility trades drive returns. A simple filter changes everything. You could have known. All it takes is this chart — and Query Lab to surface it.

Elite traders typically build from 50–100 wallets. Our Wallet Network tracks ~1,000 — and growing. You don’t just find your 100 here. It’s far more high-signal wallets than you ever need. And with Query Lab, you surface even more on demand. Depth of signal changes the game.

The Emerging cohort surfaces high-performing wallets shortly after creation. We scan the chain daily to identify conviction early: • Before broader trend recognition • Before crowd saturation • Before signal degradation 3 recently discovered wallets below.

Privacy matters — even on-chain. Introducing Aegis: Add your wallets → keep them out of all our analysis. • Verify ownership • Add / remove anytime • Fully excluded from discovery Available from Analyst plan. Multi-wallet support depending on tier. Your edge stays yours.

Edge comes from seeing both the origin and the reaction. • Influence → where moves start • Followers → who amplify after • Emerging → recently discovered performers • Creators → earliest positioning Tiers + real-time feed expand per view. Find the flow → stay ahead.