Position sizing in crypto: the number that matters more than entry price

The mistake most people make first

Ask someone about their crypto strategy and they'll talk about which coins they own and when they bought them. Ask a professional trader and they'll talk about how much they risked on each position relative to their total capital.

The difference is position sizing — and it's the single variable that determines whether a strategy with a 60% win rate grows your portfolio or destroys it.

Why sizing matters more than selection

Suppose you have a strategy that's right 60% of the time. You make 10 trades. Over a large sample, you'd expect 6 wins and 4 losses. Sounds solid.

Now add position sizing:

Scenario A — Equal sizing (10% of portfolio per trade)

• 6 wins at +15% each: +90% of 10% = +9%
• 4 losses at -20% each: -80% of 10% = -8%
• Net: roughly +1% per cycle

Scenario B — Random sizing (5%–25% of portfolio)

• Same win rate, but if big positions happen to coincide with losses, a single -20% loss on a 25% position wipes +5% of portfolio
• The strategy with the edge becomes a coin flip with high variance

Equal sizing preserves the mathematical edge. Unequal sizing, especially when driven by conviction rather than rules, erodes it.

The fixed-percentage approach

The simplest robust method: never risk more than X% of your portfolio on a single position. Most professional risk frameworks use 1–5% for speculative positions.

For crypto specifically, given its volatility profile, 2–5% per position is a common ceiling. This means:

• With 5% per position, you can hold 20 positions simultaneously at full size
• A coin going to zero costs you 5%, which is painful but survivable
• A 20% drawdown on a position costs you 1% of portfolio

At these sizes, you need a long string of losses to cause serious damage.

Volatility-adjusted sizing

More sophisticated: size each position so that the expected dollar loss if it hits your stop is the same across all positions.

Formula: Position size = (Portfolio × Risk%) ÷ Distance to stop

Example:

• Portfolio: $10,000
• Risk per trade: 2% = $200
• Coin price: $100
• Stop loss: $85 (15% below entry)

Position size = $200 ÷ ($100 - $85) = $200 ÷ $15 = ~13.3 coins = $1,333

This means a more volatile asset (wider stop) automatically gets a smaller position. A less volatile asset gets a larger one. The dollar risk is constant.

What this does to your psychology

Fixed sizing removes a major source of poor decisions: conviction sizing.

Conviction sizing means putting more in when you're "really sure" about a trade. The problem is that your certainty level correlates poorly with actual outcome probability. The trades you were most sure about are often the ones that hurt the most, because certainty leads to complacency around risk management.

When position size is rule-based, you remove that variable entirely.

Applying this to DCA strategies

Dollar-cost averaging already has implicit position sizing built in: you invest a fixed amount at fixed intervals regardless of price. This naturally results in buying more shares when prices are lower and fewer when prices are higher.

The Coinblockers HODLer strategy formalises this by setting a weekly DCA amount as a percentage of an annual budget. The dip-buying logic can temporarily increase a single purchase, but the annual budget cap prevents runaway exposure.

The compounding implication

Proper position sizing doesn't just limit losses — it creates the conditions for compounding to work. A portfolio that loses 50% needs a 100% gain to recover. A portfolio that loses 10% needs an 11.1% gain. Staying in the game with consistent, small positions is what allows a strategy with a genuine edge to express itself over time.