Every Solana setup scored across five dimensions, paper-tested against real outcomes, then tracked — before it ever reaches a subscriber.
Solana
JupiterRaw on-chain data flows through a four-stage intelligence pipeline. Each step filters, scores, and validates — so only what survives reaches your feed.
Pull wallet activity, token launches, liquidity shifts, and smart money behavior in real time from Solana.
AI engine ranks tokens across five dimensions — filtering noise and identifying which setups deserve attention.
Only signals that clear scoring thresholds enter paper validation. Weak setups are filtered before any exposure.
Paper-validated signals delivered with full score breakdowns so you can move on intelligence, not hype.
The feed is not random. Every signal passes through five evaluation layers before it reaches a subscriber.
Detects smart money movement, elite wallet convergence, and suspicious cluster behavior across 600+ tracked wallets.
Checks whether volume and liquidity are real or fragile. Filters tokens with shallow pools and artificial volume.
Measures price momentum, volume velocity, social acceleration, and on-chain activity shape in real time.
Removes weak, spammy, honeypot, and high-failure-risk signals before they reach the feed. Safety first.
Prioritizes opportunities by combined score calibrated against 5.9M historical outcomes. Only the strongest survive.
Tokens evaluated across wallet quality, liquidity behavior, momentum profile, safety filters, and cross-signal convergence. Weak structure dies in the scoring layer.
Every candidate passes through staged paper validation. The system logs what it would have traded and tracks where ideas broke down. Misses are model feedback.
Win rates, runner rates, expected value — measured at 15 minutes, 1 hour, 4 hours. Published openly. Hit rate alone is lazy. Runner rate matters.
Founding spots are limited. Better feedback, tighter iteration, less noise.
No credit card · No spam · Founding pricing locked
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