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Feed as Execution Surface

The Omnera feed is not an information dashboard. It is an execution surface — a ranked stream of opportunities where every item can be acted on directly, without navigating to a separate trading interface, connecting to a different chain, or selecting a venue. The feed synthesizes three inputs:
  1. Global market state. Real-time data across spot markets, perpetual futures, and prediction markets on all supported chains. Price, volume, liquidity depth, social velocity, on-chain activity, and structural events (migrations, listings, funding rate shifts).
  2. Behavioral profile. The accumulated model of the individual trader’s attention, decision, and temporal patterns, as constructed by the behavioral engine.
  3. Relevance scoring. A per-user ranking function that combines global market state with the behavioral profile to produce a personalized ordering. Tokens and opportunities with high global signal but low personal relevance are deprioritized. Opportunities with moderate global signal but high personal relevance are surfaced.

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Ranking Architecture

The feed does not simply filter the global feed. It reorders it. This is a critical distinction. Filtering removes items. Reordering preserves the full opportunity set but changes the sequence in which it is presented. A token that would rank #47 on a global trending list might rank #3 on a specific trader’s feed because its characteristics match that trader’s behavioral fingerprint. The token was never hidden from anyone — it was simply buried in consensus ordering for most users and elevated for one. The ranking function operates on a scoring model with three weighted components: Relevance score. How closely does this opportunity match the trader’s historical attention and execution patterns? Computed from the behavioral profile vector. This is the primary differentiator between users. Timeliness score. How fresh is the signal? Opportunities decay. A token that migrated 3 minutes ago is a different proposition than one that migrated 30 minutes ago. The system applies time-decay weighting calibrated to the asset class — faster decay for memecoins, slower decay for perp setups. Quality score. Independent of personalization, does this opportunity meet baseline quality thresholds? Liquidity depth, contract verification, holder distribution, and on-chain structural integrity are evaluated to prevent low-quality or potentially malicious tokens from surfacing regardless of relevance match.

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Feed Modes

The feed supports multiple presentation contexts, each drawing from the same underlying ranking engine: Pulse. Real-time stream of new market activity. Highest velocity, highest noise. Personalization acts as a noise filter — surfacing the signal within the chaos that matches your specific patterns. Discover. Curated opportunity set refreshed at longer intervals. Lower velocity, higher conviction. The system applies stricter quality and relevance thresholds to surface opportunities that warrant deeper evaluation. Portfolio. Active positions with contextual intelligence. The system surfaces related opportunities, correlated assets, and risk signals based on what you currently hold — not generic portfolio tracking, but position-aware discovery.

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Execution Integration

Every item in the feed includes an execution path. When a trader identifies an opportunity, the transition to execution is not a redirect — it is a state change within the same interface. The feed item expands to reveal execution controls: order type, size, and confirmation. The system has already determined the optimal routing (which chain, which venue, which execution method) before the trader clicks. This integration is what distinguishes a discovery surface from a discovery dashboard. Dashboards inform. Surfaces execute.
The ranking model is not static. As new interaction events accumulate, the relevance scoring recalibrates in real time within each session. The feed you see at the start of a session may differ from the feed 20 minutes later, because the system has incorporated your in-session behavior.