I’ve watched traders with great chart-reading skills blow up accounts in a fortnight. I’ve watched traders with mediocre strategies survive five years and compound steadily. The difference between the two groups has almost nothing to do with the entry signal. It has everything to do with how big each trade was when it went wrong.
Position sizing is the single most boring topic in trading and the one that decides who is still trading next year. This post is the version of it I wish someone had handed me on day one. Some of the links inside are affiliate. I flag them when they appear.
Short answer: Crypto position sizing is the calculation of how much of your account you put into a single trade based on a fixed risk percentage. The standard rule is to risk no more than 1% of your account per trade. The formula is (account size × risk %) ÷ (entry price − stop loss price) = position size. This works for spot and adapts to futures with a leverage multiplier. Apply it on every trade, no exceptions.
See Trade Travel Chill — the community I learned this properly inside → (referral link)
Key takeaways
- The 1% rule means risking no more than 1% of your account on any single trade — not buying 1% worth of the asset.
- Position size is calculated from your stop distance, not from how confident you feel.
- Most retail traders blow up because they size positions on conviction, not maths. Babypips puts retail trader failure rates above 70%.
- For futures, position size and leverage are different decisions. Solve risk first, leverage second.
- A 3-strike rule (three losses in a row, halve the size) saves accounts during drawdowns.
- Journaling your R multiples is what makes the rule stick — covered in the crypto trading journal post.
Why position sizing matters more than entry
The chart YouTuber sells you the entry. They sell you the indicator combo, the setup name, the candle pattern. They sell entries because entries are sexy and entries make videos.
The maths of a trading career sells you something else.
Pick any two traders. Trader A wins 60% of trades. Trader B wins 40%. Conventional wisdom says Trader A is better. Conventional wisdom is wrong. If Trader B risks 1% per trade and averages a 2.5R reward when right, and Trader A risks 5% per trade and averages a 1.2R reward, Trader B compounds and Trader A blows up in their first bad month.
Position sizing controls three things every other decision can’t:
- Survival. Whether you have an account left after a losing streak.
- Emotion. Whether you make the next decision from fear or from process.
- Compounding. Whether your wins meaningfully grow the account or just refill the holes.
I learned this the hard way. I sized one trade at 12% of my account in 2021 because I “knew” the move was coming. The setup was textbook. The trade still lost. The loss was so large that the next three trades were placed from emotion — chasing the loss, sizing badly, scared to take valid setups. By the time I recovered I’d given back two months of work. The original loss was tiny. The cascade was the killer.
That’s the lesson. The hit you take from a bad position size isn’t the trade — it’s the next ten trades you place from a damaged mental state.
The 1% rule explained
The 1% rule says: on any single trade, you risk no more than 1% of your current account balance.
The most common mistake is reading that and thinking it means “buy 1% of your account in the asset.” It doesn’t. The 1% is your maximum loss if the stop hits, not the amount of capital you commit.
Worked example, plain English
You have a $10,000 account. The 1% rule says your maximum loss on a single trade is $100.
You spot a Bitcoin entry at $70,000. You decide your stop loss goes at $68,500 — a level below the recent swing low.
That means:
- Risk per Bitcoin: $70,000 − $68,500 = $1,500
- Maximum loss allowed: $100
- Position size: $100 ÷ $1,500 = 0.0667 BTC
In dollar terms, that’s a position of roughly $4,667. Which surprises people. They think 1% of a $10,000 account means a $100 position. It means a $100 maximum loss, which on a tight stop can mean a position several times larger than $100.
The 1% rule isn’t religious
Some traders use 0.5% (more conservative — recommended for the first 100 trades on a live account). Some experienced traders use 2% on A+ setups. The 1% is a baseline, not a commandment.
What is non-negotiable: you decide your max risk per trade before you click buy, every time. The number is fixed. The position size flexes around the stop.
If you want a deeper read on the academic basis for fixed-fractional sizing, Investopedia’s position sizing guide is solid.
The maths: (account size × risk %) ÷ (entry − stop) = position size
This is the formula. Memorise it. Tattoo it on the inside of your trading desk.
Position size = (Account × Risk%) ÷ (Entry − Stop)
For a short trade, swap the subtraction:
Position size = (Account × Risk%) ÷ (Stop − Entry)
Step-by-step on a real trade
You have a $5,000 account. You want to long Solana.
- Decide your risk percentage. 1% = $50.
- Identify your entry. Limit order at $180.
- Identify your stop. Below recent structure at $172.
- Stop distance. $180 − $172 = $8 per SOL.
- Position size in units. $50 ÷ $8 = 6.25 SOL.
- Position size in dollars. 6.25 × $180 = $1,125.
So on a $5,000 account, this trade commits $1,125 of buying power (22% of the account) but only risks $50 (1% of the account). The 22% never matters. The $50 is what matters.
If the stop is tighter — say $178 — the position size grows: $50 ÷ $2 = 25 SOL = $4,500 of buying power. Same risk, much bigger position.
If the stop is wider — say $165 — the position size shrinks: $50 ÷ $15 = 3.33 SOL = $600. Same risk, smaller position.
The position adjusts to the stop. The risk stays fixed.
Why this destroys “all-in” trading
The trader who buys $5,000 of Solana at $180 because “the setup is good” has no idea what they risk. If price drops to $172 they’re down $222. If it drops to $150 they’re down $833. They have no plan because they have no stop. They have no position size because they have no risk parameter. They have a feeling.
A feeling is not a strategy. The formula is the strategy.
Worked example on a $5,000 account
Let me run a full week through this, the way I actually trade.
Monday: $5,000 starting account. 1% risk = $50 per trade.
Trade 1. Long ETH at $3,800. Stop at $3,720. Distance = $80. Size = $50 / $80 = 0.625 ETH = $2,375 position. Trade hits target at $3,960. Profit = 0.625 × $160 = $100. That’s a 2R win.
Trade 2. Account is now $5,100. 1% = $51. Long BTC at $70,000. Stop at $68,800. Distance = $1,200. Size = $51 / $1,200 = 0.0425 BTC = $2,975 position. Trade stops out. Loss = $51.
Trade 3. Account is now $5,049. 1% = $50.49. Long SOL at $185. Stop at $179. Distance = $6. Size = $50.49 / $6 = 8.4 SOL = $1,560 position. Trade hits target at $197. Profit = 8.4 × $12 = $101. That’s a 2R win.
Trade 4. Account is now $5,150. 1% = $51.50. Long AVAX at $40. Stop at $38.50. Distance = $1.50. Size = $51.50 / $1.50 = 34.3 AVAX = $1,372 position. Trade stops out. Loss = $51.50.
Net week: +$98.50 on a $5,000 account. About 2% gross. 2 wins, 2 losses. 50% win rate. Compounded over 50 weeks at this pace, the account doubles.
That’s the unsexy maths. No moon shots. No 50x leverage. Just a fixed risk per trade and a strategy that pays 2R when right.
Position sizing for spot vs futures (different mechanics)
The formula is the same. The execution is different.
Spot
On spot trading, you can only lose what you put in. Buying 0.5 BTC at $70,000 commits $35,000 and the absolute maximum loss is $35,000 (if BTC goes to zero).
Position sizing on spot is straightforward: calculate units, multiply by price, that’s your position. Stop loss enforces the risk parameter.
Futures
On futures trading, you post collateral (margin) and control a position multiplied by leverage. A $1,000 margin at 10x leverage controls $10,000 of underlying. The position can lose more than the margin (you get liquidated first, but the maths is asymmetric).
For futures, position size and leverage are two separate decisions.
- Step 1. Calculate position size in units the same way as spot (using the formula).
- Step 2. Choose leverage so that the required margin is comfortable.
Worked example. $5,000 account, 1% risk = $50. Long BTC futures at $70,000, stop at $69,000 (tight stop, $1,000 distance per BTC).
Position size = $50 / $1,000 = 0.05 BTC = $3,500 notional.
If you use 10x leverage, required margin = $350. Plenty of buffer in the $5,000 account.
If you use 50x leverage, required margin = $70. Even more buffer — but you’re closer to liquidation if there’s a wick.
Notice the position size (0.05 BTC) didn’t change. Leverage just decided how much margin you locked up.
Heads up: This post covers leveraged trading. Leverage can wipe out your account in a single move. If you’re new to crypto, start with spot trading and learn the basics before touching futures. The numbers in this article are examples — they’re not promises.
Position sizing with leverage
The trap most beginners fall into: they think leverage is the position size decision. It isn’t. Leverage is a capital efficiency decision.
Read that twice.
Your position size is determined by your stop distance and your risk allowance. Leverage decides how much of your margin you lock up to control that position. A trader with poor risk discipline at 2x leverage blows up just as fast as one at 100x — they just take longer to get there.
Full breakdown in the BitGet leverage explained post.
The leverage cap rule I use
For my first six months on futures, I capped myself at 5x. Even when the position said I could use more. The cap was psychological — it forced me to keep margin uncommitted so I never felt one trade away from disaster.
Once I had 200+ logged futures trades and a consistent positive expectancy, I went up to 10x on majors and 5x on alts. I have never been above 20x. The traders I respect who’ve survived five years are all in the same range. The ones running 50x and 100x rotate through accounts every six months — they blow up, restart, blow up.
The leverage you see flexed on Twitter is survivorship bias. You see the one who hit 100x. You don’t see the 200 who tried it and lost everything.
If you want to think about leverage from the maths side, Investopedia’s leverage and margin guide is a solid grounding.
The 3-strike rule (lose 3 in a row, halve size)
This is the rule I added to my system after my worst month.
The rule: if you lose three trades in a row, halve your risk percentage for the next ten trades.
Why this works:
- Three losses in a row often signals that market conditions have shifted under you. Your strategy might be temporarily out of phase.
- Three losses in a row almost always mean you’re trading from tilt. Reducing size reduces the emotional weight of each trade and helps you recover discipline.
- Three losses in a row at 1% risk = 3% drawdown. Halving to 0.5% means you can take another six losses before reaching 6% total drawdown — instead of three more reaching 6%.
Once you string together three winners at the reduced size, you can restore full size. Until then, you’re trading at half-fuel. The account survives. Most blow-ups happen during drawdowns when the trader doubles down to “make it back.” The 3-strike rule does the opposite.
If you’ve ever felt the urge to size up after a losing streak, you’ve felt the moment that ends accounts. The rule exists to override that instinct.
The community I learned this discipline inside — and the one I’d point a beginner at — is Trade Travel Chill. Annii’s TBD System makes risk-per-trade the first thing you learn, not the last. (referral link)
Scaling up after a winning streak (and why you shouldn’t)
The mirror image of the 3-strike rule is the temptation to scale up after winners.
You hit five trades in a row. You feel locked in. Your gut says size up — strike while the iron’s hot. Your gut is wrong.
A winning streak isn’t a signal of edge expansion. It’s variance. Random distribution of wins and losses naturally clusters. Five wins in a row inside a 55% win-rate strategy will happen roughly every 30 trade sequences — about once a month if you trade actively.
When you scale up because of a streak, you guarantee that your largest trades come at the moment statistical reversion is most likely. The next loss isn’t just a normal 1R loss — it’s a 2R or 3R loss on the biggest position. That single oversized loss wipes out the streak.
The disciplined approach: size grows with the account, not with the streak. As your account compounds, 1% naturally becomes a larger dollar amount. That’s the only sanctioned form of scaling up. You ride the equity curve, not the emotion curve.
The traders I know who’ve survived five years all have one trait in common: they trade at the same percentage risk in week one as in week 250. The number of dollars at risk grows. The percentage doesn’t.
R multiples explained (1R, 2R, 3R)
R is the language of position sizing. Once you start thinking in R, every trade becomes comparable regardless of asset, timeframe, or account size.
1R = your risk per trade. If you risk $50, 1R = $50.
If you make $100 on the trade, that’s a 2R win.
If you make $150, that’s a 3R win.
If you lose $50, that’s a -1R loss.
If you cut early and only lose $30, that’s a -0.6R loss.
R thinking removes asset prices and dollar amounts from the picture. A Bitcoin trade and a Dogecoin trade can both be 2R wins — directly comparable. A week with +6R is a good week regardless of which trades produced it.
Why this matters
If your average win is 2R and your average loss is 1R, your win rate only needs to be 34% for the strategy to be profitable. (Maths: 0.34 × 2 = 0.68; 0.66 × 1 = 0.66; net positive.)
If your average win is 1.5R and your average loss is 1R, you need a win rate above 40%.
If your average win is 1R and your average loss is 1.5R (which is what happens when you let losers run and cut winners early), you need a win rate above 60% just to break even. Almost nobody hits that consistently.
R-expectancy — average R per trade — is the single most important number to log in your trading journal. It tells you if your edge is real.
Position size calculators on TradingView and BitGet
You don’t have to do the maths by hand every trade. Both TradingView and BitGet have native tools.
TradingView
In the chart, click the Long Position or Short Position drawing tool. Drag the entry, stop, and target. TradingView shows you the position size needed for a given risk percentage in real time.
Configure it once: Settings → Risk/Reward → set your default account size and risk percentage. From then on, every position you draw gives you size in units automatically.
BitGet
In the futures order panel, BitGet has a “Calculate” button that lets you input risk amount and stop loss price. It outputs position size and margin required. Use it. Especially as a beginner — it removes manual error.
Spreadsheet template
If you want a manual record, the simplest spreadsheet has these columns:
| Account | Risk % | Risk $ | Entry | Stop | Stop Distance | Position Size | Notional |
|---|---|---|---|---|---|---|---|
| $5,000 | 1% | $50 | $70,000 | $68,800 | $1,200 | 0.0417 BTC | $2,917 |
Drop the formulas in once, use it every trade. It takes 30 seconds.
The biggest position-sizing mistake (going all-in on conviction)
The single mistake that has ended more retail trading careers than any other: going all-in because the setup is too good to miss.
It’s seductive. The chart looks beautiful. The signals all line up. Three indicators agree. Twitter agrees. Your gut is screaming. You size up — not because the maths changed, but because the feeling did.
I’ve made this mistake. Twice. Both times the setup was textbook. Both times the trade still lost. That’s the part nobody teaches you: a textbook setup has a probability of winning, not a guarantee. A 70% setup loses 3 times out of 10 — and if all three losses come on oversized positions, the account is done.
The discipline isn’t believing in your setups less. It’s believing in your sizing rules more. You can love a trade and still size it at 1%. The market doesn’t care how convinced you are. The next loss happens whether you saw it coming or not.
Every veteran trader has the same scar. The trade they had 100% conviction on, sized up, lost. After it happens once or twice, you learn. Better to learn from this paragraph than from your account.
If you want a structured environment that drills this into you trade after trade, Trade Travel Chill runs through it inside the TBD system from day one. (referral)
Why TTC’s curriculum hammers position sizing
Most crypto education focuses on indicators, patterns, and entries. TTC takes the opposite approach — risk and position sizing come first, indicators come last.
Inside the TTC TBD System, the first module after the beginners course covers position sizing, stop placement, and R-management before you even look at a candlestick pattern. The logic is simple: if you can’t size a trade properly, no entry signal will save you. If you can size properly, even a mediocre entry signal becomes profitable.
The methodology comes from Annii Snelleksz, who built TBD by applying forex precision to crypto market structure. Forex traders survive because they treat risk per trade as the only number that matters. TTC ports that discipline into crypto, where the volatility is higher and the temptation to oversize is constant.
What you get inside:
- The TBD System — entries, stops, and position sizing as one integrated framework
- TBD Indicators (proprietary) — built around the sizing rules
- Cabin Crew pro traders walking through their position sizing in live sessions
- 1,000+ Discord members logging their R per trade
- 48-hour money-back guarantee
Pricing: $88/month or $899/year for Business Class (self-paced). $158/month or $1,610/year for First Class (live access). Pay in crypto for 20% off.
See TTC → (referral)
If you’re weighing courses generally, the best crypto trading courses comparison runs through the options.
Where to apply this — exchange setup
Position sizing is theory until you place a trade. The exchange I use to apply this is BitGet — partly because the order panel exposes risk parameters cleanly and partly because the fee structure means small positions don’t get eaten by costs.
If you want to set up an account to practice: BitGet sign-up (referral) takes about 90 seconds. KYC usually clears same-day. Walkthrough of order placement is in the BitGet order types post.
For practice without real money, paper trade for 50 trades minimum before going live. The how to start trading crypto with $100 post covers small-account setup.
Position sizing for different trading styles
Sizing rules adapt slightly based on what you trade.
Day trading
Tighter stops, more trades per day, faster compounding (or faster blow-up). I run 0.5% risk per trade on day trading crypto because the trade count per week is 10–20 and total drawdown can compound fast.
Swing trading
Wider stops, fewer trades, longer hold times. 1% is the standard for swing trading crypto. Some traders go to 1.5% because they only take 3–5 trades a week.
Scalping
Very tight stops, very high trade count, very fast feedback loop. I keep 0.25%–0.5% on scalping crypto. The trade count means even small mistakes compound, and the emotional weight of fast losses pushes traders into tilt quickly.
Bots
Position sizing is automated but you still set the parameter. The BitGet BTC/USDT spot grid bot lets you cap notional per grid level. Treat the bot’s total exposure as one position and size it accordingly — typically 5–15% of account.
The compounding maths
Here’s why all this discipline matters in the end.
A trader risking 1% per trade with a 1.5R average expectancy, taking 200 trades per year, compounds at roughly 30%+ annually.
A trader risking 5% per trade with the same expectancy compounds faster — until the first 4-loss streak (which happens roughly every 60 trades), at which point they’re down 20%. They then trade emotionally to recover, take a 5-loss streak (also normal statistically), and end the year flat or negative.
The 1% trader doesn’t notice the streaks because they barely move the account. The 5% trader feels every streak as life or death.
Survival is what compounds. Position sizing is what enables survival.
What to log
Every trade you place needs the following data in your journal:
- Account size at time of trade
- Risk percentage chosen
- Risk dollar amount (1R)
- Entry, stop, target
- Position size in units
- Notional value
- Outcome in R (e.g. +2R, -1R, -0.5R if cut early)
- Reason for entry (one line)
- Emotion at entry and exit
Full template in the crypto trading journal post. The single most useful metric after 100 trades is your average R per trade. That’s your edge, quantified.
Want this drilled into you trade by trade?
TTC’s TBD System teaches position sizing before it teaches you a single indicator. The community I’m part of. The course I’d point a friend at.
Referral link. I may earn a commission at no extra cost to you.
Frequently asked questions
What is the 1% rule in crypto trading?
The 1% rule says you should risk no more than 1% of your account balance on any single trade. This is your maximum loss if the stop hits — not the size of the position. The position size is calculated by dividing the 1% risk by the distance from entry to stop.
How do I calculate position size in crypto?
Use the formula: (account size × risk percentage) ÷ (entry price − stop loss price) = position size in units. For example, on a $5,000 account with 1% risk, an entry at $100 and stop at $95: ($5,000 × 0.01) ÷ ($100 − $95) = $50 ÷ $5 = 10 units.
Should I use 1% or 2% risk per trade?
Start at 1% or lower. 0.5% is recommended for your first 100 live trades while you learn. 2% is for experienced traders with proven positive expectancy across hundreds of logged trades. Never higher than 2% without a measurable reason.
How does position sizing change with leverage?
Position sizing doesn’t change with leverage. The same formula applies. Leverage only changes how much margin you lock up to control the position. A 0.05 BTC position is 0.05 BTC whether you use 5x or 50x leverage — the difference is just the margin required.
What is R in trading?
R is the unit of risk per trade. If you risk $50, 1R = $50. A 2R win = $100. A -1R loss = $50. R lets you compare trades across different assets and account sizes by normalising the dollar amounts.
Can I size up after winning trades?
No. Winning streaks are variance, not edge expansion. Sizing up after wins guarantees your biggest trades come at the moment statistical reversion is most likely. Let position size grow naturally as the account compounds.
What position size should I use on a $100 account?
A 1% risk on $100 is $1, which is too small for most exchange minimums. Either start with $500–$1,000 minimum, or use a paper trading account until your real capital grows. The how to start trading crypto with $100 post covers small-account workarounds.
How does TTC teach position sizing?
TTC’s TBD System teaches position sizing and stop placement before indicators or chart patterns. The methodology comes from forex precision applied to crypto market structure. Position sizing is module one, not an afterthought. See TTC for details.
Final word
Position sizing is the boring chapter every trader skips and every veteran wishes they hadn’t. It’s not glamorous. It doesn’t sell courses. It doesn’t get retweets.
It is the single mechanic that decides who’s still trading next year.
If you take one thing from this post: pick a risk percentage today, write it on a sticky note above your screen, and don’t violate it. Not for a hot setup. Not after a winning streak. Not because the chart looks too good to size small.
The discipline is the strategy. Everything else is decoration.
Right — over to you.
Related posts
- How to Set Stop Losses in Crypto Trading
- Crypto Trading Journal: What to Log and Why It Changes Everything
- Trade Travel Chill Review
