+First time on the top traders desk?
The desk runs its own numbers and publishes its calls next to the account that trades them. The short route:
Funding Stress
Perpetual funding tells you who's crowded. We score every coin's live funding against its own normal (z-score vs history), then read it through the edge we measured on 239,849 past funding prints: after extreme negative funding, price tends to keep falling: capitulation, not a bounce. Fading the crowd doesn't cleanly work.
▼ Crowded shorts · below-normal funding
How to read a row → a coin at −0.045% funding, z −3.1: funding is far below this coin's own normal, shorts are crowded and paying up. The desk reads extreme-negative funding as a downside-continuation flag, not a dip to buy.
▲ Crowded longs · above-normal funding
How to read a row → a coin at +0.08% funding, z +2.6: funding is well above this coin's own normal, longs are crowded and paying up. Historically only a mild fade (median −0.19% next 8h), so read it as caution, not a short trigger.
Not another funding chart
Every funding dashboard shows the rate. Almost none tell you whether it's unusual for that coin, what price did after, or how to trade it. We do:
- Scored, not raw. Ranked by z-score vs each coin's own history — a large-cap's 0.01% and a memecoin's 0.3% become comparable. "Unusual for this coin," not "big number." A colour heatmap can't tell you that.
- The edge is measured, not implied. We backtested 239,849 past prints and publish what price actually did next, median −0.58% after extreme-negative funding. Other tools show the rate; none show the forward reaction.
- The desk reads it for you. The counter-intuitive part: fading the crowd doesn't cleanly work; extreme-negative funding is a downside-continuation flag: is stated, not left as homework.
- $0 by promo, no login, open method. No pro tier, no account, no gate. The z-score + baseline math is spelled out below.
| Feature? | Funding Stress? | CoinGlass · Coinalyze · Laevitas? |
|---|---|---|
| Raw / aggregated funding rates | ✓ | ✓ |
| Funding heatmap, OI, liquidations breadth | — | ✓ |
| Scored vs each coin's own history (z) | ✓ | ✗ |
| Measured forward-price edge published | ✓ | ✗ |
| Desk interpretation / how to trade it | ✓ | ✗ |
| $0 by promo, no login / account | ✓ | partial (pro tiers) |
| Open, spelled-out method | ✓ | ✗ |
How to read a row → Scored vs each coin's own history (z): Funding Stress ✓ · others ✗: only this page normalises funding to each coin's own baseline. The mainstream dashboards hand you the raw rate. That normalisation is the core edge this table is drawing out.
Honest read: they win on raw data breadth (heatmaps, order flow, 1000+ assets). We win on turning funding into a decision: normalised, back-tested, read, $0 by promo.
How to read it
Where it breaks: when open interest is falling. The rate prices what it costs to hold the crowded side; open interest is how much of that side exists. A high rate on shrinking OI is positioning being unwound at a high price, not crowding building. The squeeze it looks like has already happened. Read the two together or not at all.
z ≈ 0 is normal; z < −2 means funding is unusually negative (shorts paying longs — crowded short); z > +2 means unusually positive (longs paying shorts — crowded long). APR annualises the 8h rate (×3×365). We rank by z, not raw rate, so a large-cap's 0.01% and a memecoin's 0.3% are comparable. When the whole board sits near zero, positioning is calm — no crowded side to fade or ride.
Triggers, not calls. Funding is one lens on positioning; pair it with price structure and liquidity. Backtest is spot forward-return, costs excluded, past behaviour ≠ future. Read what funding rate is.