Every list. One screen.
Sixteen curated leaderboards refreshed every thirty seconds - movers, breakouts, AI conviction, institutional flow and sector leaders. Each list is sourced from the same data layer that powers the rest of the desk, and every claim points to a feed.
- Lists
- 16
- Assets
- 100
- Movers ≥5%
- 7
- Refresh
- 30s
The core ten - what the desk is actually watching this week.
Ten live assets ranked from the cached market layer by capitalization, liquidity and current movement. Stance counts below are recalculated from the reported 24h change on every cache refresh.
Biggest gainers, last 24 hours.
Sharpest declines, last 24 hours.
By traded volume, last 24 hours.
What the desk model would buy this week.
Three high-conviction reads from the Desk model. Each cleared all four detectors - volume, momentum, funding and pattern - for at least three consecutive cycles. Confidence above the 65 publish threshold.
Momentum is positive, liquidity is above the desk floor, and sector context is crypto. $14.42M 24h volume supports the read.
Momentum is positive, liquidity is above the desk floor, and sector context is crypto. $36.66M 24h volume supports the read.
Momentum is positive, liquidity is above the desk floor, and sector context is meme. $720M 24h volume supports the read.
Sector leaderboard.
Average move of the top 10 assets by market cap, in each sector · 24 hours.
11 sectors · 100 live assets
Don't see your list? Build it.
Compose any list as a rule set - market cap, sector, indicator state, on-chain flow, sentiment - and save it to your private library. Custom lists refresh on the same 30-second cycle as the curated ones, and you can ship them as alerts or Telegram digests.
Same data layer, different lenses.
Every list is computed from the same live feed and timestamped at the moment of read. Re-rankings happen on the cached refresh cadence.
Movers M1
Ranked by percent change in the selected window. Excludes thinly traded assets where the cached feed exposes enough liquidity data.
Volume V1
Spot aggregate from the cached market data. Volume and market cap are used together to avoid one-off noise.
Breakout P3
Pattern proxy based on day-range position, momentum and liquidity. Confirmed only when price is near the high with positive tape.
Institutional F2
Flow proxy built from volume, market cap, and seven-day performance until ETF/on-chain flow data is available in the local cache.
Trending T1
Momentum and participation blended into a ranked watchlist. Recomputed on every cache refresh.
AI Picks D3
Desk model consensus: volume, momentum, liquidity and sector context. Publish floor is expressed as a confidence score.