⚡FUNDING RADARruen
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龙虾 — funding rate on Binance

Binance · 龙虾USDT
+0.145%per 4h · +0.036%/hshorts receive
last settlement+0.146%→upcoming payout+0.145%• unchanged
3:01:39settlement
2calmheat
Price (mark)
0.121427
-14.1% 24h
Vol 24h
$162.8M
Open interest
—
Price move in 2 min
—

Entry economics

Position calculator
Position size
$2,500
Funding per settlement (4h)
$3.62 · $0.9/hour
Net snipe per settlement
$-0.38 = 0.145% − 0.110% − 0.050%
Break-even for entry
rate covers the threshold 0.90×needs 0.160%+ per settlement
Liquidation price
0.145105 (+19.50% from price)
Risk at this leverage
no volatility data
Max “green” leverage
—

Funding goes to whoever holds the position at the cut-off. MMR in the liquidation formula is +0.50%; verify the price on the exchange before trading.

Context and comparison

Funding history · 545 settlements
avg 7d +0.009%/havg 30d +0.009%/hCSV export — in PRO
龙虾 on 2 exchanges
Bitget+0.053%/h
shortsrate +0.210% / 4hsnipe +0.050%
Binance← you are here+0.036%/h
shortsrate +0.145% / 4hsnipe -0.015%

Max spread across exchanges: +0.016%/h

龙虾 across all exchanges: comparison & curves →
Rates across exchangesPRO · open for now

2 exchanges on one timeline

Bitgetevery 4hBinanceevery 4hrate corridor between exchanges

exchanges settle at different frequencies — an 8-hour step is bound to «lag» a 1-hour one, that's its grid, not a slower market

spread typically
0.0014%/h
widest spread
0.0367%/h
25.09 01:00 UTC · Bitget ↔ Binance

the spread is the hedge's rate before fees: that's what an hour of the pair-trade yields

How to read this
  • Snipe: enter short before the cut-off, exit after settlement. Funding goes to whoever holds the position at the cut-off. The net capture in the calculator is already net of fees and slippage — and it does not include price moving against you in the settlement window (see volatility above).
  • Hedged: a short here + an opposite position of the same size on another exchange or spot — funding capture without price risk, but four legs of fees.
  • Extreme funding is a crowd story: price often runs into the cut-off and reverses after. This is data for a decision, not a recommendation.