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PDD — funding rate on OKX

OKX · PDD-USDT-SWAP
+0.043%per 8h · +0.005%/hshorts receive
last settlement+0.005%→upcoming payout+0.043%• unchanged
6:13:02settlement
0calmheat
Price (mark)
83.18
-0.1% 24h
Vol 24h
$1.1M
Open interest
$278K
Price move in 2 min
—

Price and skew

Liquidations
24h$247
$0 longs$247 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)
$1.08 · $0.14/hour
Net snipe per settlement
$-2.92 = 0.043% − 0.110% − 0.050%
Break-even for entry
rate covers the threshold 0.27×needs 0.160%+ per settlement
Liquidation price
99.4001 (+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 · 20 settlements
avg 7d +0.001%/havg 30d +0.001%/hCSV export — in PRO
PDD on 4 exchanges

Max spread across exchanges: +0.006%/h

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

4 exchanges on one timeline

OKXevery 8hBinanceevery 8hBitgetevery 8hBybitevery 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
0.0085%/h
05.11 01:00 UTC · 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 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.