Position Sizing: How Much to Risk Per Trade
Position sizing is the process of determining how many units of an asset to buy or sell on a given trade. It is one of the most impactful yet overlooked aspects of trading. Two traders using the exact same strategy with different position sizing will have dramatically different results. This lesson covers the main position sizing methods and how to apply them in your crypto trading.
The Fixed Percentage Method
The most widely recommended position sizing method for individual traders is the fixed percentage risk model. With this approach, you risk a fixed percentage of your total account on every trade. The most common percentage is 1-2%.
Here is how it works step by step:
- Determine your account size. For example, $10,000.
- Choose your risk percentage. Let us use 1.5% — so your maximum risk per trade is $150.
- Determine your stop-loss distance. Based on your technical analysis, your stop-loss is 5% below your entry price.
- Calculate your position size. If you can lose 5% on the position and your maximum dollar risk is $150, then your maximum position size is $150 / 0.05 = $3,000.
This method automatically adjusts your position size based on the volatility of each trade. A trade with a tight 2% stop-loss allows a larger position, while a trade with a wide 10% stop-loss requires a smaller position. Both risk the same dollar amount, keeping your per-trade risk consistent regardless of the setup.
Why this method works: It prevents any single trade from causing catastrophic damage. Even a streak of 10 consecutive losses (which is statistically possible with any strategy) would draw the account down by approximately 14% using 1.5% risk, a recoverable drawdown. Compare this to risking 10% per trade, where 10 consecutive losses would destroy 65% of the account.
The Fixed Dollar Method
A simpler variation where you risk a fixed dollar amount on every trade regardless of account size. For example, always risking $100 per trade. This is straightforward but has a drawback: it does not scale with your account. As your account grows, the risk percentage decreases (becoming too conservative), and as it shrinks, the percentage increases (becoming too aggressive).
The fixed dollar method works for beginners with small accounts who want simplicity, but traders should transition to the fixed percentage method as they become more experienced.
Volatility-Based Position Sizing
This advanced method adjusts position sizes based on the current volatility of each asset, typically measured by the Average True Range (ATR). The ATR measures the average range of price movement over a specified period.
The formula: Position Size = (Account Risk Amount) / (ATR x Multiplier)
For example, if your account risk is $200 and Bitcoin's 14-day ATR is $2,500, using a 2x ATR multiplier: Position Size = $200 / ($2,500 x 2) = $200 / $5,000 = 0.04 BTC, or roughly $2,600 in position value.
This method naturally gives you smaller positions in volatile assets and larger positions in stable ones, aligning your position size with the asset's actual risk profile. Many professional traders prefer this approach because it accounts for the reality that a 5% stop-loss on a highly volatile asset is much more likely to be hit than the same stop on a stable asset.
Portfolio Heat: Total Risk Management
Individual position sizing is important, but you also need to manage your total portfolio risk — often called "portfolio heat." If you have 10 open positions, each risking 2% of your account, your total portfolio risk is 20%. If the entire market sells off and all your stops are hit simultaneously, you lose 20% of your account.
Guidelines for managing portfolio heat:
- Maximum portfolio heat of 6-10%. This means your total risk across all open positions should not exceed 6-10% of your account at any time.
- Reduce position sizes as positions accumulate. If you already have three open trades using 2% risk each (6% total), new positions should use smaller risk percentages to stay within your portfolio heat limit.
- Account for correlation. If all your positions are in highly correlated assets (like holding five different altcoins that all move with Bitcoin), your effective portfolio heat is much higher than the math suggests because all positions are likely to move against you simultaneously.
Scaling In and Scaling Out
Rather than entering a full position at once, many traders scale into positions by entering a portion at the initial entry and adding more if the trade moves in their favor or reaches additional support levels. Similarly, scaling out involves taking partial profits at different target levels rather than closing the entire position at once.
Scaling in example: Enter 33% of your intended position at the current support level. If price drops to the next support level and your analysis remains valid, add another 33%. If it drops further to the final support level, add the remaining 33%. This averages your entry price but requires wider stop-losses and careful risk calculation.
Scaling out example: Close 50% of your position at the first resistance target to lock in some profit. Move your stop-loss to breakeven on the remaining 50% and let it run toward the second target. This approach secures profits while maintaining exposure to larger potential gains.
Position Sizing with TradePulse AI
TradePulse AI's risk management tools automatically calculate recommended position sizes based on your account size, risk tolerance, the asset's volatility (ATR), and the specific trade setup. By using these calculated position sizes rather than arbitrary amounts, you maintain consistent risk across all your trades. Input your account size and maximum risk percentage in the settings, and the platform will display recommended position sizes for every potential trade.