Risk management for crypto CFDs
Learning objectives
Size a crypto position correctly given the instrument's volatility and your account
Account for gap exposure created when spot trades and your CFD doesn't
Set a total crypto exposure limit that accounts for correlation inside and outside the asset class
Using the fundamentals
Nothing from the Risk Management course changes for crypto. The rules are identical. What changes is how quickly the arithmetic runs out of room, and this lesson applies the framework to the instrument that tests it hardest.
How to size your position
Crypto volatility: how to trade it established that stops need to be wider. Here's what that does to a real account.
Anna has $5,000 and risks 1%, so $50.
Her Bitcoin invalidation level sits 3% below entry, which is a modest stop by crypto standards.
Since her risk is $50 and her stop is 3% of position value:
Maximum position value = $50 ÷ 0.03 = $1,667
So her total Bitcoin exposure can be about $1,667. Not her margin, her exposure, which as Managing leverage as a beginner explained is the number that determines her outcome. On a $5,000 account that's effective leverage of about 0.33 to 1.
Read that again, because it's the point of the lesson. Correct crypto sizing on a modest account produces a position smaller than the account itself. The margin required will be a fraction of that, and the platform will happily let her open five or ten times as much. The margin is not the constraint. Her stop distance is.
Now widen the stop to a still-unremarkable 6%:
$50 ÷ 0.06 = $833 of exposure
Halve the stop distance and you double the permitted size. Double it and you halve the size. That relationship is the whole of position sizing and crypto is where it becomes impossible to ignore.
The gap problem
Crypto CFDs vs spot: what's the difference set this out and it's the risk most specific to the instrument.
Spot crypto trades continuously. If your CFD has closed hours, then during those hours the underlying market can move a long way while you hold a leveraged position you cannot exit.
A stop cannot help you across that gap. Price never traded at your level on your instrument, so the order fills wherever your CFD reopens.
Two responses, and they're the same ones How to trade news events recommended for scheduled releases.
Be flat across periods you can't trade, if your style allows it. Costs you the spread twice and removes the exposure entirely.
Or size for the gap rather than for the normal move. Ask not how far crypto usually moves overnight but how far it could plausibly open away, and size so that outcome is survivable rather than terminal. That's a substantially smaller position than the calculation above already gave you.
Check your broker's crypto schedule before you need it, not after.
Stops are less reliable
Everything from Stop losses: where to set them and why applies with more force.
Crypto's liquidity is thinner than forex during fast moves, which means slippage is larger. Your stop can fill meaningfully beyond your level during a sharp move, which is exactly when it triggers. So the 1% you calculated may be 1.5% or worse in practice.
Two consequences. Build a margin of safety into the sizing rather than assuming a perfect fill. And treat any calculation as an estimate of your best case, not your worst.
Total crypto exposure
Two correlation problems stack here, and both were covered earlier.
Inside crypto. What drives Bitcoin, Ethereum and the majors explained that the major cryptocurrencies move together closely. Three crypto CFDs is one position at triple size. Set a limit on total crypto exposure, not per instrument.
Outside crypto. Crypto correlations with traditional markets showed that crypto has behaved as a high-beta risk asset and has fallen with equities during stress. So a long crypto position alongside long index positions is concentrated exposure to one set of conditions.
Which suggests a rule for Building your own risk rules:
Total crypto exposure counts as a single position. Crypto held alongside long equity index positions counts toward the same risk-asset limit.
Leverage caps as information
Where regulators cap crypto leverage tightly, the cap reflects a judgement that the volatility already does leverage's work.
Where your account offers more, that's a fact about your account rather than an improvement in the product. The instrument map: forex, stocks, indices, commodities, metals, crypto CFDs made the point and it belongs in a risk lesson: a higher limit on a more volatile instrument is a faster route to a stop-out.
The sizing calculation above never approaches most leverage caps anyway. If your position size is being determined by what leverage permits rather than by your stop distance, the calculation hasn't been done.
Should you trade it at all?
An honest answer rather than a promotional one.
Not while you're learning to size positions. Crypto punishes a sizing error faster than any other instrument in this academy. Learn the arithmetic somewhere it forgives you, which is what The instrument map: forex, stocks, indices, commodities, metals, crypto CFDs meant by putting crypto last on the ladder.
Not with money that matters. The volatility figures in Crypto volatility: how to trade it are ordinary days, and the extremes go far beyond them.
Possibly, once your process is stable, you can state what you're exposed to, you've sized for a gap rather than a normal move, and crypto's total exposure sits inside a limit you set in advance.
That's a narrower recommendation than most crypto content offers. It's the one the arithmetic supports.
Key takeaways
Correct crypto sizing on a modest account produces exposure smaller than the account itself. Margin will permit far more, and margin is not the constraint
If your CFD has closed hours while spot trades, size for how far the instrument could reopen away rather than for a normal move
Thinner liquidity means larger slippage, so treat your calculated risk as a best case and build a margin of safety into the size
Treat all crypto as one position, and count it toward the same risk-asset limit as long equity index exposure