Section 16 of 18
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 per trade: the loss first, everything else after
Risk per trade is the amount you lose if the trade turns out wrong and the stop is hit. Not “how much I could make”, not “how much money is on the exchange”, but exactly the loss in the bad outcome. It is named before entry, not after.
Risk is best measured as a percentage of the account, not in dollars. The account changes: after a good month $100 is a smaller share, after a bad one a larger share. A percentage keeps the measure constant. A $10,000 account at 1% risk means $100 per trade; a $25,000 account at 0.5% means $125.
Which percentage to pick is your decision, and the course does not make it for you. People often take a fraction of a percent or about one percent — not because that is “correct”, but because of the arithmetic we go through below and in detail in section 17.
Why risk is usually small. Even good trading loses several times in a row — this is not an exception but the norm (we compute the probabilities in section 17). If you lose 1% of the current account each time, ten losses in a row leave 90.4% of the account: 0.99 to the tenth power. If you lose 10%, 34.9% of the account remains: 0.9 to the tenth power. The same ten trades, the same luck — but in the first case it is an unpleasant week, in the second it is the end of trading.
Note: ten losses of 10% are not minus 100% but minus 65.1%, because each next percent is taken from an already smaller account. That does not make it easier: to get back from 34.9% to 100% you would have to nearly triple what is left.
Beginners often mix up three different numbers. Let us separate them right away.
- Risk — how many dollars you lose when the stop is hit. For example, $100.
- Position size — how many dollars' worth of the coin you hold (the position's value). For example, $5,000. Profit, loss and fees are all computed from it.
- Margin — the collateral the exchange locks for the position. At ×10 leverage that is $500 of the same $5,000.
With a $10,000 account, a $5,000 position and a stop 2% from entry, the loss at the stop is $5,000 × 2% = $100, i.e. 1% of the account. The $500 margin plays no part in this calculation: it says how much money is locked, not how much can be lost.
The stop comes from meaning, not from a convenient sum
A stop is the price at which the trade's idea has turned out wrong. Not the price where it “hurts too much”, and not the price that gives a nice round loss. If you buy because a liquidity wall sits below and is not being eaten, the idea is wrong once the wall is eaten and price goes lower. If you buy off the low of a move, the idea is wrong below that low. The stop goes just beyond such a point: where the market has already proven you wrong and where ordinary noise does not reach.
A common mistake is the reverse order. “I want a $10,000 position and can lose $100, so the stop is at 1%.” Here the stop is derived from a sum, and the market knows nothing about your sum. If the nearest place where the idea breaks is 2.5% from entry, a 1% stop sits in the middle of normal fluctuations: noise will take it out while the idea may still be right.
The right order has four steps:
- The idea and the place where it breaks → the stop price.
- The distance to the stop in percent: |entry − stop| / entry.
- The acceptable loss in dollars: account × risk per trade.
- Position size = acceptable loss / distance to the stop.
A $10,000 account, 1% risk = $100. A stop 1% from entry gives a position of $100 / 0.01 = $10,000. A stop at 2.5% gives $100 / 0.025 = $4,000. The loss at the stop is $100 in both cases. A far stop does not make the trade “riskier” — it makes the position smaller. A close stop does not make it “safer” — it makes the position bigger.
How often ordinary price movement hits a stop
Take the whole production minute archive for BTC and ETH from 27.07 to 13.10.2026 and ask one question: if you enter at the start of any hour, how often does price within that hour (and within four hours) reach a stop X% away from entry? There is deliberately no idea here — this is pure market noise, and every hour is counted, not the lucky ones.
BTC, 1,483 one-hour windows. A long stop at 0.25% was hit in 435 windows (29.3%), at 0.5% in 151 (10.2%), at 1% in 32 (2.2%), at 2% in 5 (0.3%). Within 4 hours (1,439 windows): 54.8%, 32.3%, 12.2% and 1.9%. Shorts look almost the same: within 4 hours 58.9%, 34.2%, 12.0% and 2.9%.
ETH moves more. Within an hour: 38.9%, 15.6%, 4.4% and 0.7%; within 4 hours: 62.3%, 40.1%, 18.4% and 4.9%. The median one-hour range is 0.36% for BTC and 0.47% for ETH; the four-hour range is 0.81% and 1.05%.
What follows. A 0.25% stop on BTC is taken out by ordinary movement within four hours in more than half of the windows — regardless of whether the idea is right. That does not mean a wide stop is “better”: at the same risk it gives a smaller position. It means a stop closer than the usual range is not the place where the idea is wrong but a bet that the market will be quieter than usual today.
Caveat: the archive records price once a minute, wicks inside a minute are not seen. Real touches were at least as many as here — read the shares as a lower bound. And this is the past of two coins over eleven weeks, not a law.
Source: production archive 27.07–13.10.2026, minute snapshots of BTCUSDT and ETHUSDT; entry is the price at the start of every hour, windows of 1 and 4 hours (the 4-hour ones start every hour and overlap), only windows with at least 90% of minutes present are counted; script dev/kurs_stat/r16.py, result zamery/kurs/r16.json
A stop is not a price guarantee. Once triggered, a stop order becomes a market order and fills against whatever is in the book (section 2). In a calm market the difference is a fraction of a percent. In a sharp one — especially when other people's stops and liquidations fire nearby (sections 12–13) — the fill can land well beyond the stop. So the planned loss is computed with room for slippage, and the stop is not placed right on a round number or an obvious level where everyone's stops sit.
One more thing: a stop you keep “in your head” rather than on the exchange is not a stop. At the moment you need it you will have to decide under pressure, and the decision will almost always be “I'll wait a bit more”.
Position size, leverage and percentage traps
There is one position size formula, but it is handy to compute it two ways — in dollars and in coins.
In dollars: size = acceptable loss / stop distance as a fraction. A $20,000 account, 0.5% risk = $100. A long entry at 2,000, stop at 1,960: the distance is 40 / 2,000 = 2%. Size = $100 / 0.02 = $5,000.
In coins: size = acceptable loss / stop distance in dollars per coin. 100 / 40 = 2.5 coins. Check: 2.5 × 2,000 = $5,000 — it matches.
For a short everything is the same, only the stop is above entry. A short at 80,000, stop at 81,200: the distance is 1,200 / 80,000 = 1.5%. With an acceptable loss of $150 the size = 150 / 0.015 = $10,000, or 150 / 1,200 = 0.125 BTC.
The percentage trap. The exchange shows a position's return as a percentage of margin, not of the position and not of the account. At ×10 leverage a 1% price move is 10% “on screen”.
Example. A $10,000 account, a $5,000 position, ×10 leverage, $500 margin. Price moves 2% against you. The loss is $5,000 × 2% = $100. Now three percentages about the same event:
- 2% — the price change;
- 20% — the loss relative to margin ($100 / $500), the number the exchange shows;
- 1% — the loss relative to the account ($100 / $10,000), which is the actual risk.
Hence a frequent confusion: “my stop is −20%” in the exchange interface at ×10 is only 2% of price. And “a stop 2% of the position” at ×10 is −20% on screen. Before comparing percentages, ask: percent of what?
What leverage does. If the position size is computed from the stop, leverage does not affect the loss at the stop. A $5,000 position with a 2% stop loses $100 both at ×2 ($2,500 margin) and at ×20 ($250 margin). Leverage only decides how much margin is locked — and, second, where liquidation is.
Roughly: with isolated margin and ×N leverage, the exchange closes the position when the loss has almost eaten the margin — about 1/N from the entry price, and a little closer once maintenance margin and fees are counted (the exact mechanics are in section 12). At ×10 liquidation is a bit closer than 10%, at ×30 a bit closer than 3.3%, at ×50 closer than 2%. If your stop is 4% from entry and leverage is ×30, the exchange closes the position before price reaches the stop: in effect there is no stop, and the whole margin is lost.
The check is simple: liquidation must be noticeably farther than the stop. If it is closer, lower the leverage, not the stop.
Sometimes the formula gives a position bigger than the account. A $2,000 account, 1% risk = $20, a 0.4% stop — the position is $20 / 0.004 = $5,000, 2.5 times the account. That is fine: such a position needs leverage of ×2.5 or more, and liquidation at that leverage (about 40%) is far beyond the stop. A 0.1% stop, though, would give a $20,000 position — ten times the account. The formula still works, but fees come into play: they are the next lesson, and there you will see why a very close stop is almost always more expensive than it looks.
Fees inside the risk, and R as the unit of results
Fees are charged on the position size, not on margin, and are paid twice — on entry and on exit. If the stop fills as a market order, the exit almost always pays the taker rate.
A $5,000 position, a 0.05% taker fee each side: $2.50 + $2.50 = $5. At $100 risk that is 5% of the risk — tolerable. Now a 0.25% stop: to keep risk at $100 the position = $100 / 0.0025 = $40,000. Fees: 0.1% × $40,000 = $40 — already 40% of the risk. With a 0.1% stop the position is $100,000 and fees are $100 — as much as the risk itself.
The general rule: fees as a share of risk = (entry fee + exit fee) / stop distance. 0.1% / 0.25% = 0.4; 0.1% / 1% = 0.1; 0.1% / 0.1% = 1. The closer the stop, the larger the share of risk eaten by fees — and slippage comes on top.
How to put fees inside the risk. The real loss at the stop = size × (stop distance + entry fee + exit fee). To keep it equal to the acceptable loss, size is computed like this:
size = acceptable loss / (stop distance + round-trip fees).
A $10,000 account, 1% risk = $100, a 1% stop, a 0.05% fee each side. Ignoring fees the size would be $10,000 and the loss at the stop $100 + $10 = $110. With fees: $100 / (0.01 + 0.001) = $9,090.91. Check: 9,090.91 × 1.1% = $100. The difference looks small, but over a hundred trades an extra 10% of risk on each adds up to a noticeable sum.
R — the unit of results. 1R is the planned loss at the stop of one trade. A trade's result in R = profit or loss / R. Lost exactly the stop — −1R. Made $250 with R = $100 — +2.5R. Moved the stop and lost $300 — −3R.
For a trade without partial exits, the result in R before fees can be computed straight from prices: (exit − entry) / (entry − stop) for a long. Entry 100, stop 98, exit 105: 5 / 2 = +2.5R. For a short the signs swap: a short at 3,000, stop 3,060, exit 2,880 — (3,000 − 2,880) / (3,060 − 3,000) = 120 / 60 = +2R. Fees are then subtracted in the same R.
Why bother. Trades come in different sizes, the account grows and shrinks, but in R any trades are comparable: +2R on a $5,000 account and +2R on a $50,000 account are equally good results. Everything that follows rests on R: the average per trade, streaks, judging your own trading (section 17), and EVA counts results in R too (section 18).
Common mistakes
- “Risk is my margin.” Margin is collateral, not the loss at the stop. A $5,000 position with $500 margin and a 2% stop loses $100, not $500.
- A stop from a sum, not from the market. “I can lose $100 on a $10,000 position, so the stop is 1%.” The stop goes where the idea is wrong; the sum controls the position size.
- “A close stop is safer.” At the same risk it gives a bigger position, is hit by noise more often (this section's example) and hands a bigger share of risk to fees.
- “High leverage means high risk”, and the reverse “low leverage means low risk”. Risk is set by size and stop. Leverage is dangerous in another way: liquidation may end up closer than the stop.
- Percentages on the exchange screen read as percentages of the account. −20% at ×10 is 2% of price; of the account it can be 1% or 10% — depending on how much of the account is in the position.
- Fees “on margin” and “once”. They are charged on the whole position and twice — on entry and on exit.
- A stop “in your head”. When it is needed, you cannot bring yourself to execute it.
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.