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Section 1 of 18

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.

Spot and futures: what exactly you are buying

The crypto market has two big worlds. On spot you buy the coin itself: you pay dollars (more precisely, dollar tokens such as USDT) and get bitcoin in your account. It is yours: you can hold it as long as you like, move it to a wallet, sell it tomorrow or in a year. You make a profit only if the price rises: bought at 80,000, sold at 84,000 — that is 5%.

On futures you buy not the coin but a contract whose price is tied to the coin's price. No bitcoin changes hands: the exchange simply credits or debits the price difference between your entry and your exit. That is why on futures it is equally easy to profit from a rise and from a fall: you can buy the contract first, or you can sell it first.

The main type of crypto future is the perpetual (a “perp”). An ordinary future has an expiry date on which the contract closes. A perpetual has none: you can hold the position as long as you like. To keep its price from drifting far from spot, every few hours one side pays the other a small amount — this is funding, the subject of section 11. For now it is enough to know that a perpetual trades very close to spot, but not exactly at it.

SPOTFUTUREbuyerseller$BTClongshortprice differenceCoins change hands.No coin moves — only the price differenceand funding every few hours.
Spot: coins change hands. Futures: only the price difference does.

Long and short. Buying a contract expecting a rise is called opening a long position. Selling a contract you did not have, expecting a fall, is opening a short. A short is closed by buying back: sold at 80,000, bought back at 78,000 — the 2,000 difference per bitcoin is yours. On ordinary spot this does not work: you can only sell a coin you actually hold.

The result of a position in dollars is calculated just as simply: quantity × (exit price − entry price) for a long and quantity × (entry price − exit price) for a short. A long of 0.1 BTC from 80,000 to 81,200: 0.1 × 1,200 = +$120. A short of the same 0.1 BTC over the same move: 0.1 × (80,000 − 81,200) = −$120. Long and short are mirror images: one side's profit is the other side's equal loss.

It is convenient to measure a position in dollars too: 0.1 BTC at 80,000 is an $8,000 position. The result is then just the price move applied to that amount: price moved +1.5% — the $8,000 position made 1.5% of $8,000 = $120. It is the same number reached another way.

Bitcoin futures volume is usually several times larger than spot volume. That is why short-term price moves are more often born on futures, and spot follows — or does not. EVA shows both worlds separately: for example, the CVD block on “Book · Flow” has a “derivatives” column and a “spot” column (what that quantity is — section 7).

Margin and leverage: percent of margin and of the position

To open a futures position you do not pay its full value. The exchange takes part of it as collateral — the margin, your own money that stands behind a possible loss. Leverage is how many times the position is larger than the margin: leverage = position / margin. With ×10 leverage, $1,000 of margin opens a $10,000 position; with ×2, the same $10,000 position needs $5,000 of margin.

The key thing to grasp on day one: dollars of profit and loss depend on the position, not on leverage. A $10,000 position makes $100 on a +1% move — whether at ×2 or at ×10. Leverage changes something else: what share of your money those $100 are. With $5,000 margin (×2) that is 2%; with $1,000 margin (×10) it is already 10%.

Hence two formulas worth keeping in your head:

Margin $2,000, ×5 leverage, long. The position is $2,000 × 5 = $10,000. Price rose 3%: the result is $300, which is 3% × 5 = 15% of margin. Price fell 3%: −$300 and −15% of margin. Leverage multiplies the price move in both directions equally.

The second formula immediately gives the most important number of any leveraged position: how many percent the price has to move against you for the margin to be gone entirely. That is 100% / leverage: at ×5 — 20%, at ×10 — 10%, at ×20 — 5%, at ×50 — 2%, at ×100 — 1%. In practice the exchange closes the position earlier, without waiting for zero — that is liquidation, the subject of section 12. On top of that, the exchange charges for every trade (section 2), and that also eats into the buffer.

Price moved −2% against a long. Margin is $1,000 in every case×2position $2,000−$40 (−4%)×10position $10,000−$200 (−20%)×50position $50,000−$1,000 (−100%)grey bar — margin, red part — lostloss = position × 2%; share of margin = 2% × leverage
The same −2% price move at different leverage: the share of margin lost grows with leverage.

Loss and recovery are not symmetric. Lose 20% of margin and $1,000 becomes $800. To get back to $1,000 you need to make $200, which is 25% of $800, not 20%. Lose 50% — you need +100%. Lose 80% — you need +400%. The formula: required gain = loss / (1 − loss). With leverage such losses can happen within minutes, so it pays to do this arithmetic beforehand, not afterwards.

Isolated and cross margin. Exchanges usually offer two modes. In isolated mode only the margin assigned to the position stands behind it. In cross mode the whole free balance of the account does, and a bad position can take more than you mentally “assigned” to it. Which mode is on is worth checking before entering, not after.

Leverage does not change the market's direction and does not make a trade “stronger”. It changes only one thing: how large a move against you your money can withstand. High leverage is not “more profit” but a short distance to losing the whole margin.

How often an ordinary BTC move would have eaten the margin

Take real BTC prices from the EVA archive and ask: if a position were opened at exactly 00:00 UTC and held to the end of the day, what was the largest move against it within that day? The entry time is arbitrary — just the same for every day.

Over 47 full days (27.08–13.10.2026) the median worst move against a buyer was 0.84%, against a seller 0.99%. The largest move within a day against a buyer was 4.03%, against a seller 7.61%. Converting to margin with “100% / leverage”:

Hourly data tells the same story: of 1,702 hours (27.07–13.10) BTC moved 0.5% or more within the hour in 185 hours (about 11%), 1% or more in 38 (about 2%), 2% or more in 7, and the largest hourly move was 3.99% (the hour to 16:00 UTC on 19.08). ETH moves more: at ×20 the margin would have run out on 8 days of 47, at ×100 on 42.

What follows and what does not. It follows that at ×50–×100 perfectly ordinary daily BTC swings are comparable to the buffer the margin has — no “disaster” is required. It does not follow that ×10 is “safe”: 47 days is a short period, and in another month moves can be several times larger. This count ignores the exchange's charges and its closing buffer, so in reality the position would have been closed even earlier.

BTC, 47 days: worst move against a position opened at 00:00 UTC1%1%2%2%5%5%×100×100×50×50×20×20up — rise (against a seller)down — fall (against a buyer)27.08 … 13.10.2026Margin gone for at least one side: ×20 — 3 of 47 days, ×50 — 22, ×100 — 38.

Source: EVA production archive, minute prices of BTCUSDT and ETHUSDT: hours — 27.07–13.10.2026 (1,702 hours), full UTC days (≥ 95% of minutes) — 27.08–13.10.2026 (47 days); script dev/kurs_stat/r01.py, result zamery/kurs/r01.json

Who trades with whom: maker, taker, aggressor

An exchange is a place where orders meet. In the simplest form there are two kinds.

Order types in detail, filling across several prices and trading charges are covered in section 2, and the full queue of orders by price (the order book) in section 3.

Hence two roles in every trade. The one whose limit order was resting and waiting is the maker: they “make” the market by posting a ready price. The one who arrived and accepted that price is the taker: they “take” what is ready. Every trade is exactly one pair: one maker and one taker, for one and the same amount.

The taker is also called the aggressor: they are the one in a hurry, paying for speed by accepting someone else's price. When the terminal says “market buy” or “aggressive buy”, it means the taker in the trade was the buyer, who came to a resting limit sell. A “market sell” is the opposite: a selling taker came to a resting limit buy. Exchanges and EVA define the side of a trade by the aggressor.

A maker is not necessarily a seller, and a taker is not necessarily a buyer. A limit buy filled by someone's market sell means a buying maker and a selling taker.

In every trade exactly as much is bought as is sold. The phrase “more buyers than sellers” is literally wrong. What differs is who was the aggressor — who was in a hurry.

Why price moves only through trades. The “price” on a chart is the price of the last trade. While everyone is merely placing and pulling limit orders there are no trades — and the last price stays put no matter how many orders appear. Even a huge limit buy below the current price moves nothing: it is an intention, not a trade, and it can be removed at any second.

This is how price rises. Limit sells rest at 100.0, 100.1, 100.2… Market buys arrive and take everything resting at 100.0. Nobody is left selling at 100.0 — the next market buy is filled against the sell at 100.1, and the last price becomes 100.1. A fall is the mirror image: market sells take all limit buys at the current price, and the next trade happens lower.

So for price to move up, aggressive buys have to take all the supply at current prices faster than sellers replenish it. The fewer limit orders rest near the price, the less money it takes to move it. That is liquidity — covered in detail in section 3.

Limit sells by price and a 3 + 2 BTC market buy100.26 BTC100.1taken 24 BTC100.0taken 33 BTC99.95 BTCsellsbuyslast price100.0 → 100.11) a 3 BTC buy took the whole 100.0 level; 2) a 2 BTC buy was filled at 100.1.5 BTC bought and 5 BTC sold — price rose because the aggressor was the buyer.
A market buy takes limit sells in turn from cheapest to dearest — the last price moves up.

One minute step by step (illustrative example)

An illustrative example. The last trade was at 100.0. Limit sells: 3 BTC at 100.0, 4 BTC at 100.1, 6 BTC at 100.2. Limit buys: 5 BTC at 99.9.

  1. Someone places a limit buy for 50 BTC at 99.5. No trades — the last price is still 100.0.
  2. A market buy for 3 BTC arrives and takes all 3 BTC at 100.0. The taker is the buyer; the makers are whoever was selling at 100.0. Last price 100.0.
  3. The next market buy, 2 BTC: nobody is left selling at 100.0, so it is filled at 100.1. The last price is 100.1. Price rose 0.1%, even though exactly as much was sold as bought: 5 BTC.
  4. The 50 BTC limit buy at 99.5 is pulled. It spent not a single dollar and did not affect the price.

In that minute 5 BTC were bought and 5 BTC were sold. Price moved up because the aggressors were buyers, not because there were “more buyers”.

Where you see this in EVA. Large trades on the chart are dots whose colour shows the aggressor's side: a market buy or a market sell. The “Taker Aggression” pane below the chart shows how much was bought at market for every unit sold at market (it uses Binance's ready-made figure for its perpetuals). Above one means buyers were in a hurry more often, below one — sellers. It is a story about past trades, not a forecast: every number on screen has a “?” sign, and the help says what the number does not show.

Common beginner mistakes

The section test: 13 questions
Tricky questions and a review of every answer. The test, your progress and the section order are available after signing in: a section opens after passing the previous one, the pass mark is 80%. We teach you to read the market, not to guess: there are no signals or forecasts here.
Take the test — log in

The whole course

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.