FUNDING RADARruen
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LA — funding rate on Binance

Binance · LAUSDT
-0.072%per 4h · -0.018%/hlongs receive
last settlement+0.005%upcoming payout-0.072% heating up
2:06:04settlement
1calmheat
Price (mark)
0.068109
-12.4% 24h
Vol 24h
$145.9M
Open interest
Price move in 2 min

Entry economics

Position calculator
Position size
$2,500
Funding per settlement (4h)
$1.81 · $0.45/hour
Net snipe per settlement
$-2.19 = 0.072%0.110% 0.050%
Break-even for entry
rate covers the threshold 0.45×needs 0.160%+ per settlement
Liquidation price
0.054828 (−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.

Settlement window · facts (2)
before cut-off · 15m
avg-0.70%
max-0.77%
after · 15m
avg+0.50%
max+0.83%
Cut-offRateBeforeAfter
22.07 12:00-0.190%-0.77%+0.17%
22.07 04:00-0.377%-0.62%+0.83%

Context and comparison

Funding history · 229 settlements
avg 7d -0.028%/havg 30d -0.010%/h
LA on 4 exchanges

Max spread across exchanges: +0.019%/h

Rates across exchangesPRO · open for now

4 exchanges on one timeline

Binanceevery 4hOKXevery 4hBitgetevery 8hBybitevery 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
0.0032%/h
widest spread
0.118%/h
21.07 09:00 · OKX ↔ Bybit

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 long 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 long 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.