Section 11 of 18
Funding
Why a perpetual future has a payment between longs and shorts, who pays whom, how to compare rates of exchanges with different intervals, what it costs a position, and what our archive says about “overheated” funding.
Why a perpetual contract needs funding
An ordinary future has an expiry date: on that day its price converges with spot because the contract settles against spot. A perpetual future has no date — it can be held indefinitely. So nothing forces its price to meet spot on a given day, and with a skew in demand it could drift arbitrarily far from spot.
The anchor is funding — a regular payment between holders of longs and shorts. When the perpetual trades above spot (more people want leveraged longs), the rate is positive: longs pay shorts. Holding a long becomes more expensive, holding a short more rewarding; some participants close longs or open shorts, and some buy spot while shorting the perpetual, collecting funding. All of this pulls the contract price back toward spot. When the contract is below spot, everything mirrors: the rate is negative and shorts pay.
Three properties beginners confuse:
- The payment is between participants, not to the venue. The venue takes its trading fee, while funding moves from the longs' pocket to the shorts' (or the other way).
- Only position holders at the accrual moment pay. On most venues accrual happens at set times: whoever holds a position at that minute pays or receives for the whole interval. Close a minute before accrual — you pay nothing for that interval; open a minute after — the same.
- The sign of the rate is not the direction of price. Positive funding says leveraged longs are more expensive to hold, i.e. demand is skewed toward longs. Who turns out right does not follow from the rate.
Illustrative example of how the anchor works. BTC spot is $100,000, the perpetual is $100,150: basis +0.15%. More people want leveraged longs, the rate comes out positive, say +0.05% per 8 h. Now a trader has a clear calculation: buy 1 BTC on spot for $100,000 and open a 1 BTC short in the contract. The price can go anywhere — the two positions offset each other — while the short collects funding: $100,150 × 0.0005 ≈ $50 per accrual. The more such participants, the more selling in the contract and buying on spot, and the gap narrows.
In practice it costs more than on paper: entry and exit fees on two markets, the next interval's rate is unknown in advance, capital is tied up. So the gap does not vanish to zero but stays within narrow bounds, and funding rarely stays far from a small positive value for long.
Rate, interval and normalising to 8 hours
The funding rate is a percentage per one accrual interval. Intervals differ between venues: most often 8 hours (three accruals a day), for some pairs 4 hours, and on Hyperliquid every hour. So raw rates of different venues cannot be compared: 0.01% on a venue with an 8 h interval and 0.01% on Hyperliquid are payments that differ eightfold. Hyperliquid's hourly rate looks tiny, though over a day it adds up to as much or more.
To compare, rates are normalised to one interval. EVA normalises to 8 hours:
rate per 8 h = rate × 8 / interval in hours.
- Hyperliquid, 0.0015% per hour: 0.0015 × 8 / 1 = 0.012% per 8 h.
- A venue with a 4 h interval, 0.025% per interval: 0.025 × 8 / 4 = 0.05% per 8 h.
- A venue with an 8 h interval, 0.01%: stays 0.01%.
Keep the annual scale in mind too: 0.01% per 8 h is three accruals a day, 0.03% a day, about 10.95% a year of the position's value. A “normal” rate looks negligible, but over a month of holding it is noticeable, and an extreme one (0.1% per 8 h) is 0.3% a day, over 100% a year.
Where rates live in EVA and how they differ:
- “Market funding” — a panel line: average funding over the venues where we have a rate (Bybit, Hyperliquid, Bitget, Gate), weighted by each venue's open interest and normalised to 8 hours. Next to it — the number of venues in the average. Positive — longs pay, negative — shorts; the line turns yellow from |0.05%| and up. Binance and OKX are not in this average.
- “Cost of leverage” — a band under the chart: funding and basis from one exchange, Bybit. Here the rate is taken as is, without reading the interval. So “how much per day” cannot be derived from this band: multiplying by three only works if you know the interval is 8 hours, and pairs also have 4 and 1 hour intervals.
- “Overview” → “Funding by exchange” — a table across all six venues, rates normalised to 8 hours (more in the fourth lesson).
What a position pays
The payment is computed from the position value, not from the margin:
payment = position value × rate per interval.
Position value is coins × price (venues use their fair, mark price for this, but the current price is fine for an estimate). This is where leverage makes funding noticeable. Illustrative example: margin $1,000, 10× leverage — the position is worth $10,000. At +0.01% per 8 h the long pays $10,000 × 0.0001 = $1 per accrual, $3 a day. Trivial in dollars, but relative to margin it is 0.1% per accrual and 0.3% a day, about 9% of margin a month.
The mistake nearly everyone makes: computing from margin. $1,000 × 0.01% = $0.10 — ten times less than the real payment. The higher the leverage, the bigger the miss.
A handy formula for the share of margin: payment in % of margin = rate × leverage. At 0.1% per 8 h (extreme but real) and 20× leverage, one payment is 2% of margin, three a day — 6% of margin a day. After a week of holding, funding would have eaten about 42% of margin even if the price stood still. So high funding on the side you hold is a direct cost that belongs in the trade plan just like the entry and exit fees.
The flip side: at a negative rate of −0.05% per 8 h a $20,000 short pays $10 per accrual, and a $20,000 long receives those $10. Receiving funding is pleasant but not free income: the position still carries the full price risk, and a single 2% move ($400) is worth more than a week of such payments (21 × $10 = $210).
What funding actually looks like
Production archive, 7–12 October 2026, all 135 terminal coins: average funding across venues (normalised to 8 h), one snapshot per coin per hour — 19,440 coin-hours in total.
- below 0.01% in absolute terms — 12,802 (65.9%);
- from 0.01% to 0.03% — 6,113 (31.4%);
- from 0.03% to 0.1% — 283 (1.5%);
- 0.1% and above — 242 (1.2%).
The rate was positive in 16,294 coin-hours of 19,440 (83.8%) — the usual state of a market where more people want leveraged longs. For BTC over 144 hours the median was +0.0028% per 8 h, the range from −0.0043% to +0.0077%, and the rate was positive in 123 hours of 144. A $100,000 BTC position at the median rate would pay $100,000 × 0.000028 = $2.80 per 8 hours, $8.40 a day.
Extreme rates are rare: about one coin-hour in eighty. And they cluster in a few coins: all 242 such hours fell on 10 coins of 135, about half of them on one (MINA, 123 hours); none for BTC or ETH.
Source: production archive ~/eva-terminal/archive, of_2026-10-07 … of_2026-10-12 (30 files), the fua field of the minute snapshot (average funding across venues, OI-weighted, per 8 h); the first snapshot of each coin in each hour. Script dev/kurs_stat/r11.py → zamery/kurs/r11.json
Funding by exchange and extremes
The “Overview” → “Funding by exchange” tab is a table: coin × venue (Binance, Bybit, OKX, Bitget, Gate, Hyperliquid). Each cell holds the rate normalised to 8 hours; the cell colour shows how far the venue's rate is above or below the average across venues. Under the venue name is its next accrual; a coin with a different time shows it right in the cell; an asterisk means the time was computed from the interval because the exchange did not send it. A rate older than half an hour is marked “stale” and excluded from the average. Columns sort on click, and clicking a row opens the coin's chart.
Rates of different exchanges for the same coin sometimes diverge noticeably. Example: the average is +0.01%, while one venue shows +0.06% — a deviation of +0.05 percentage points. It is a fact that the long skew is stronger on that venue: more people want leveraged longs there, or fewer shorts stand against them.
The temptation is “short where they pay more, buy where they pay less, and pocket the difference”. That is not a ready trade. Venues have different fees, intervals and accrual times, the next interval's rate may change, and two positions on two exchanges are two margins and two places where something can go wrong. A 0.05 pp difference per 8 hours on a $10,000 position is $5 per accrual; a single round trip of entries and exits on two exchanges can easily cost more.
Extreme funding: a reversal against the crowd?
A popular idea: “funding is overheated — the crowd is wrong, a reversal is coming.” We checked the production archive, 7–12 October 2026, all 135 coins: we took moments when the average funding reached 0.1% per 8 hours in absolute terms (for each coin at most once a day) and looked at the price 24 hours later. “Against the crowd” means the price was lower at a positive rate and higher at a negative one.
- Cases in total — 24: against the crowd — 11, with the crowd — 13.
- Positive rate — 2 cases, both against the crowd; negative — 22 cases, 9 against the crowd, 13 with it.
11 of 24 is less than half. A separate check on the 4–24 September archive (against random minutes of the same coin and hour) also found no edge either way. High funding means holding the crowded side is expensive and the skew is large. What comes of it the data does not say.
Source: production archive ~/eva-terminal/archive, of_2026-10-07 … of_2026-10-12 (30 files), all 135 coins; |fua| ≥ 0.1% per 8 h, at most once per 24 h per coin; price 24 h later ± 10 min. Script dev/kurs_statistika.py → zamery/kurs/statistika.json; the 04–24 Sep check — EVA help, “Market funding”
Funding is best read together with open interest from the previous section. A high rate on small OI means less than an average one on large OI: in the first case a handful of positions hold the skew, in the second a lot of money does. A high rate with rising OI — new positions open despite costly holding; a high rate with falling OI — the crowded side is already leaving. Both pictures describe what is happening now and what it costs participants, but neither says how it ends. The downside of leverage — forced closing of positions when margin runs short — is the next section.
Common mistakes
- “The venue takes the funding.” Longs and shorts pay each other; the venue only takes its trading fee.
- Comparing raw rates. 0.0015% per hour on Hyperliquid is 0.012% per 8 h, not “eight times less than Binance”. Only normalised rates are compared.
- Computing the payment from margin. The payment is from position value. At 10× the miss is tenfold.
- Leaving funding out of the trade plan. 0.1% per 8 h at 20× is 6% of margin a day.
- “Overheated funding — a reversal is coming.” In the archive it went against the crowd in 11 cases of 24; the September check found no edge either.
- Multiplying the “Cost of leverage” rate by three. The rate there is taken as is, the interval is not read; it can be 8, 4 or 1 hour.
- Treating the rate gap between venues as free income. Fees, intervals and the risks of two positions eat the gap more easily than it seems.
The whole course
- How the market works: spot, futures, leverage — What exactly you buy on spot and on futures, how to calculate profit and loss with leverage — as a percentage of margin and of the position, who makers, takers and aggressors are, and why price moves only through trades.
- Orders and execution: price, fees, slippage — Limit, market and stop orders, take-profit; how a market order fills across several prices and how to compute the average fill price; maker and taker fees on entry and exit — charged on the position, not the margin; slippage and common calculation mistakes.
- The order book: bids, asks, spread and depth — How the order book works: levels, best prices, the spread and the mid price; depth and how a market order eats through levels; thin and thick books in the EVA archive; multi-exchange books and what the book does not show.
- Liquidity walls: what rests and what gets pulled — What a dense order and a wall are, how a filled wall differs from a pulled one, what spoofing is, how to read book imbalance by distance bands and the heatmap — and why a wall is an intention, not money.
- The tape: orders, merging, pace — What the tape and prints are, why an exchange sends one order as a dozen trades, how EVA merges them back, what “large” means on its own venue, how to read tape pace — and what the tape does not show.
- Volume and the volume profile — What bar volume says and does not say, why volumes of different exchanges do not match, how the volume profile, POC and value area (VAH/VAL) work, how to read high volume without movement, and session profiles.
- Delta and CVD: who was pressing — Bar delta is market buys minus market sells; CVD is delta added up. Why “there were more buyers” is the wrong phrase, how to read the slope, why futures and spot are shown separately, and what delta does not show.
- Divergences, absorption, CVD by trade size — When price and CVD go different ways, when market flow is met by limit orders, and which orders are pressing — small, medium or large. With honest statistics from our archive: 53 continuations against 54 reversals.
- Footprint: inside the candle — What happened between the open and the close: market sells and buys at each price level, the candle's POC, the diagonal imbalance and stacked imbalances — with calculations, a real BTC bar from the archive and an honest count over a week.
- Open interest — How many futures positions are open, how every trade changes that number, why OI in dollars misleads when the price moves, and what our archive honestly says about OI growth.
- Funding — Why a perpetual future has a payment between longs and shorts, who pays whom, how to compare rates of exchanges with different intervals, what it costs a position, and what our archive says about “overheated” funding.
- Liquidations: mechanics and maths — Why the exchange closes a position itself, what maintenance margin is, how to estimate the liquidation price and why it is closer than “100% / leverage”, how a stop differs from a liquidation, and what follows the heaviest hours.
- Cascades and the liquidation map — How one forced trade pushes the price into the next, why the chain breaks, what the estimated liquidation map really draws and why a liquidation total always names its exchanges. With 378 bursts from our archive.
- Exchange flows and whales — What a coin transfer to or from an exchange shows through our node, why a transfer is a chance to sell rather than a sale, how to read stablecoins, ETFs and exchange reserves with their delays, and who the off-exchange “whales”, US government wallets and Hyperliquid whales are. With two days, 12–13.10.2026, worked through.
- Macro and news — The release calendar: time, forecast, previous value and the actual from the primary source; why the market reacts to the deviation from expectations rather than the number itself; what happens to the book before a release; how to read dominance and the TOTAL caps; news and retellings of retellings. With 19 US releases from EVA's calendar worked through.
- Risk: position size and stop — How much you may lose on one trade, where the stop goes and how these two numbers give the position size; what leverage really does, how much of R fees eat, and why the percentages on the exchange screen are not percentages of the account.
- Risk: streaks, expectancy, journal — How much a system makes per trade on average, why losing streaks are inevitable, how recovery from a drawdown is computed, what to record in a trading journal and which mistakes break even profitable trading.
- Using EVA as a whole — The tab order and the day's order — from general to particular; the “?” sign and the “what it does not show” point; how to read “no data”, the source and the time of data; narrow alerts; replay for an honest review of an entry, and a journal in R.