Phoenix Research

We are tracking these patterns across a growing set of wallets. Not just who wins, but how entry window performance shapes outcomes. Clear signals are emerging. Happy to share additional examples for those exploring this further.

You can scroll a few trades and “feel” the edge. We quantify it across 20+ recent trades. Clear pattern in entry windows. Consistent dispersion between lead vs followers. Less guessing. Faster research. More certainty.

Most think token creators take all the edge. Not always. • This dev averages 20+ SOL on creation • Takes up most of the liquidity • ~96% win rate Yet top copiers still extract ~20% consistently. Same trades — very different outcomes depending on entry + exit timing.

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

@LoganVerdict Appreciate you taking the time — really solid review

Thanks @PhoenixResAI ! Really glad the in-depth attribution and entry timing focus stood out — that’s exactly where I saw the biggest edge during testing. Appreciate you reposting and the kind words. Looking forward to watching how the product evolves. Best, Logan (@LoganVerdict)

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.

@Dappcore1 Sure, glad to hear. Feel free to dm one of us

@PhoenixResAI This is definitely a project on my radar. Are you guys looking for strategic partners at this stage? I’d love to share some thoughts

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.

@mrsoloffical early stage — focused on building a high-signal wallet intelligence layer first long term: more features, better discovery + interpretation, less noise

@PhoenixResAI "What’s the long-term plan for this project?"

Consistency is rare—but measurable. These are top wallets ranked by our Consistency filter: All 5 show: • Strong returns on most days • Minimal down periods Steady execution over time wins. Consistency surfaces a class of wallets—not the loudest, but the most repeatable.

@naskidob8 Yup

@PhoenixResAI Early?

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.

Correlation matrix reveals how this wallet makes money: • Trade duration + participation build drive the entry-window returns (high R) • They reinforce each other (strong cross) • Trader selection & trade hour barely matter (low R) Edge = timing the entry, not who or when.

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.

Not everyone requires the full firehose. Analyst and Explorer tiers emphasize curated high-quality wallets: • Tighter, refined subsets • Streamlined signal cadence • Effortless to follow & act upon The same framework—thoughtfully distilled. Designed for clarity and action.

What does our full signal stream look like? Strategist feed: 9 trader archetypes live— • Flippers • Liquidity hunters • Early snipers ... All printing. No luck. Structured. Backed by: • Frequency • Entry precision • Real drivers Full universe. Real-time. Unfiltered.

Same framework. Different edges. Trade duration: ~0% Entry price + regime + trader selection drive almost everything. This copier wins by timing the market on the right signals, not by holding. Not all edges are built the same.

What actually drives performance? Factor contribution breakdown: • Trade duration: 31% • Trader selection: 25% • Entry price: 3% • Hour: 2% Hold time + selection dominate this copier's returns. Entry price? Just 3%. The edge isn’t precision— it’s positioning and holding.