⚡FUNDING RADARruen
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BOT — funding rate on Bitget

Bitget · BOTUSDT
0.000%per 8h · 0.000%/hshorts receive
last settlement0.000%→upcoming payout0.000%• unchanged
7:47:09settlement
0calmheat
Price (mark)
29.24
+4.1% 24h
Vol 24h
$101K
Open interest
$215K
Price move in 2 min
—

Price and skew

Liquidations
24h$157
$0 longs$157 shorts
Shorts were wiped — 100% of the total. Quiet over the last hour.

Entry economics

Position calculator
Position size
$2,500
Funding per settlement (8h)
$0 · $0/hour
Net snipe per settlement
$-4 = 0.000% − 0.110% − 0.050%
Break-even for entry
rate covers the threshold 0.00×needs 0.160%+ per settlement
Liquidation price
34.9418 (+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 · 223 settlements
avg 7d 0.000%/havg 30d +0.001%/hCSV export — in PRO
BOT on 3 exchanges

Max spread across exchanges: +0.023%/h

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

3 exchanges on one timeline

Bitgetevery 8hBybitevery 8hBinanceevery 8hrate 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
0.0000%/h
widest spread
0.0261%/h
25.09 01:00 UTC · Binance ↔ Bitget

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.