Trade Size Scaling

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Written By
Contributor Image
Written By
Dan Buckley
Dan Buckley is an US-based trader, consultant, and part-time writer with a background in macroeconomics and mathematical finance. He trades and writes about a variety of asset classes, including equities, fixed income, commodities, currencies, and interest rates. As a writer, his goal is to explain trading and finance concepts in levels of detail that could appeal to a range of audiences, from novice traders to those with more experienced backgrounds.
Updated

Trade size scaling is a concept in trading and investment management that involves adjusting the size of trades based on various factors.

This strategy is used for managing risk, optimizing returns, and adapting to changing markets.

Proper trade size scaling can be important in a trader’s/investor’s overall performance and long-term success.

 


Key Takeaways – Trade Size Scaling

  • Risk Management is the Foundation of Trade Size Scaling
    • Always limit your risk per trade to a small percentage of your account (e.g., 1% or less) to preserve capital and survive drawdowns.
  • Adapt to Market Conditions
    • Adjust position sizes based on volatility, liquidity, and price movements.
    • Reduce sizes in high-volatility periods.
  • Use a Consistent Method
    • Whether it’s fixed fractional, volatility-based, or another approach, stick to your chosen scaling method consistently.
  • Consider Price Action
    • “Big Early, Small Late” for value plays; “Small Early, Big Late” for momentum trades are popular approaches.
  • Avoid Emotional Decisions
    • Don’t increase size to recover losses or due to overconfidence.
    • Stick to your predetermined scaling strategy.

 

Importance of Trade Size Scaling

Risk Management

One of the primary reasons for implementing trade size scaling is risk management.

By adjusting the size of trades, traders can control their exposure to potential losses.

This is important in volatile markets or when dealing with high-risk assets.

Capital Preservation

Trade size scaling helps preserve capital by preventing excessive losses on any single trade.

This is important for long-term sustainability in trading, as it allows traders to weather temporary setbacks and continue participating in the markets.

Optimization of Returns

Properly scaled trades can lead to better optimized returns.

Increasing position sizes when conditions are favorable and reducing them when risks are higher can help potentially maximize their profits while minimizing losses.

Adapting to Markets

Trade size scaling allows traders to adapt to market changes by adjusting their position sizes based on current market volatility, price, liquidity, and other relevant factors.

 

Factors Influencing Trade Size Scaling

Price

The price movement of an asset is a factor in trade size scaling.

As prices rise, it’s often prudent to trim position sizes to lock in profits and reduce exposure to potential reversals.

Conversely, when prices decline, traders may consider adding to their positions if they believe the asset is undervalued, getting cheaper due to the price fall, or if the decline aligns with their overall strategy.

Account Size

The total capital available in a trading account is a fundamental factor in determining trade size.

Larger accounts can generally accommodate larger trade sizes, while smaller accounts may require more conservative sizing to manage risk effectively.

Risk Tolerance

Individual risk tolerance is important in trade size scaling.

More risk-averse traders may opt for smaller position sizes, while those with higher risk tolerance might be comfortable with larger trades.

Market Volatility

Volatility in the market can influence the appropriate trade size.

During periods of high volatility, traders often reduce their position sizes to reduce the increased risk of rapid price movements denting their portfolio.

Asset Liquidity

The liquidity of the traded asset is important in determining trade size.

Highly liquid assets can generally support larger trade sizes, while less liquid assets may require smaller positions to avoid significant market impact.

Also consider transaction costs.

Scaling and dynamically changing the position size is easier with liquid assets than illiquid ones.

Trading Strategy

Different trading strategies may call for different approaches to trade size scaling.

For example, a high-frequency trading strategy might use smaller trade sizes to minimize market impact, while a long-term investment strategy might use larger positions and care less about market microstructure considerations.

 

Common Trade Size Scaling Methods

Fixed Fractional Position Sizing

This method involves risking a fixed percentage of the account on each trade.

For example, a trader might decide to risk no more than 1% of their account on any single trade.

They might start at 0.5%, for example, then add as the price falls (if applicable), but cap out at a 1% sizing.

Fixed Ratio Position Sizing

In this approach, traders increase their position size by a fixed amount after achieving a certain profit threshold.

This method allows for gradual increases in trade size as the account grows.

Volatility-Based Position Sizing

This method adjusts trade size based on market volatility.

Traders might use indicators like the Average True Range (ATR) to determine appropriate position sizes relative to current market conditions.

Kelly Criterion

The Kelly Criterion is a mathematical formula used to determine the optimal size of a series of bets or trades.

It tries to maximize the long-term growth rate of the trading account.

The Kelly Criterion is controversial in trading because of its roots in gambling and for the fact that its trade size recommendations tend to be quite large.

Martingale and Anti-Martingale Strategies

These are more aggressive scaling methods that also started within gambling contexts.

The Martingale strategy involves doubling the position size after a loss, while the Anti-Martingale (or Reverse Martingale) involves doubling after a win.

Both strategies can be risky and are generally not recommended for most traders.

Big Early, Small Late

The “Big Early, Small Late” approach involves establishing a large position size at the beginning of a trade and gradually reducing it as the price moves favorably.

This strategy is often used by value-oriented traders who believe an asset is undervalued and expect its price to increase over time.

As the price rises and approaches the trader’s target, they systematically reduce their position size to lock in profits and manage risk.

This method allows traders to capitalize on their highest conviction ideas while protecting gains as the trade progresses.

It’s useful in mean-reversion strategies or when a trader has a strong belief in an asset’s fundamental value.

As we discussed in an article on Greg Coffey (a famous Australian trader), his philosophy entailed establishing a position size of around 200% his base size, then scaling down as the price goes in his favor.

Small Early, Big Late

The “Small Early, Big Late” strategy involves starting with a small position size and gradually increasing it as the trade moves in the desired direction.

This approach is typically used by momentum traders or those following trend-based strategies.

As the price movement confirms the trader’s thesis, they add to their position, effectively “pyramiding” into a larger trade size.

This method allows traders to minimize initial risk while maximizing potential gains if their analysis proves correct.

It’s most effective in strong trending markets or when trading breakouts.

It nonetheless requires careful management to avoid overexposure at market tops or bottoms.

The approach of adding as the price goes up would appear “backwards” to a value-minded trader who would consider that to be buying something as it goes up in price.

 

Implementing Trade Size Scaling

Setting Risk Parameters

Before implementing a trade size scaling strategy, establish clear risk parameters.

This includes determining the maximum percentage of the account to risk on a single trade and the overall risk tolerance for the portfolio overall.

It’s important to be disciplined about max exposures.

Calculating Position Sizes

Once risk parameters are set, traders can calculate appropriate position sizes for each trade.

This often involves considering the entry price, stop-loss level, and the predetermined risk amount.

Using Technology and Tools

Some trading platforms and software offer features for calculating how a trade of a certain size might affect certain risk metrics associated with a portfolio (e.g., VaR, Expected Shortfall).

These can help automate the process and make sure there’s consistency in applying the chosen scaling method.

Regular Review and Adjustment

Trade size scaling strategies should be regularly reviewed and adjusted as needed.

Changes in account size, markets, price, or personal circumstances may entail modifications to the scaling approach.

 

Example of Trade Size Scaling

Here’s an example of trade size scaling, from entry to exit:

Initial Setup

  • Account size = $1,000,000
  • Maximum risk per trade = 3% ($30,000)
  • Stock = XYZ trading at $50
  • Initial stop-loss = $48 (4% below entry)

Entry

  1. Calculate initial position size = 500 shares would give a $25,000 position size. Let’s say the trader’s philosophy is to scale almost fully into a position, with the option to add slightly if price goes against them, and scale out as the trade goes in their favor.
  2. Enter trade with 500 shares at $50, total position $25,000

Scaling as price rises

  1. Price reaches $52 (4% gain): Sell 125 shares (25% of position)

Logic: Lock in some profits, reduce risk

  1. Price reaches $54 (8% gain): Sell another 125 shares

Logic: Further reduce risk, secure more profits

Adjusting stop-loss

  1. Move stop-loss to breakeven ($50)

Logic: Protect against potential reversal

Adding on pullback

  1. Price dips to $53: Add 100 shares if market conditions remain favorable to the original thesis for entering the trade.

Logic: Capitalize on short-term weakness in uptrend

Final scaling out

  1. Price reaches $56 (12% gain): Sell 200 shares
  2. Price reaches $58 (16% gain): Sell remaining 150 shares

Exit

  1. Fully exit position at $58

This approach balances capturing profits, managing risk, and maximizing potential gains. 

It adapts to price movements while maintaining a disciplined risk management strategy.

 

Advanced Considerations in Trade Size Scaling

Other factors to consider beyond the basics:

Correlation Between Assets

When trading multiple assets, it’s important to consider the correlation between them.

Highly correlated assets may require smaller individual trade sizes to prevent overexposure to a single market trend.

For example, being long various stocks doesn’t generally offer much diversification past a point since they tend to largely trend together.

Sector and Asset Class Diversification

Trade size scaling can be applied at the portfolio level for proper diversification across different sectors and asset classes.

This might involve adjusting the overall allocation to various market segments based on risk and potential return.

Time Horizon Considerations

The intended holding period for a trade can impact the appropriate trade size.

Shorter-term trades might use smaller sizes due to increased uncertainty, while longer-term positions might allow for larger allocations – especially to index funds or ETFs that are well-diversified across asset classes.

Scaling In and Out of Positions Gradually

Rather than entering or exiting a position all at once or in chunkier intervals, traders can use scaling techniques to gradually build up or reduce positions.

This can help reduce the impact of short-term price fluctuations.

 

Psychological Aspects of Trade Size Scaling

Emotional Control

Proper trade size scaling can help traders maintain emotional control by preventing oversized losses or gains that might lead to impulsive decision-making.

Confidence and Consistency

A well-implemented scaling strategy can boost a trader’s confidence by providing a systematic approach to position sizing.

This consistency can lead to improved overall performance.

Avoiding Overtrading

By carefully considering trade sizes, traders can avoid the temptation to overtrade or take on excessive risk in an attempt to recover losses or maximize gains.

Scaling up to simply win back losses is always a terrible idea.

 

Common Pitfalls in Trade Size Scaling

Overleveraging

One of the most significant risks in trade size scaling is using too much leverage.

This can lead to outsized losses and potentially wipe out a trading account.

Inconsistent Application

Failing to consistently apply the chosen scaling method can lead to suboptimal results and increased risk.

Make Sure It Makes Sense

It should go without saying, but have a solid foundation and understanding for why your trade scaling approach will work.

Ignoring Market Conditions

Not adjusting trade sizes based on changing markets can expose traders to unnecessary risk or cause them to miss opportunities.

Emotional Decision-Making

Allowing emotions to dictate trade sizes rather than sticking to a predetermined scaling strategy can lead to poor outcomes.

 

Conclusion

Trade size scaling is a fundamental aspect of successful trading and investing.

Carefully consider factors such as account size, risk tolerance, market conditions, and individual trading strategies.

This can allow traders to implement effective scaling methods that help manage risk and optimize potential returns.

Regular review and adjustment of scaling strategies, along with awareness of psychological factors and common pitfalls, can contribute to long-term success in the markets.

As with any trading strategy, it’s important to thoroughly understand and practice trade size scaling before implementing it with real capital (or any kind of material capital).

Continuous education, backtesting, and possibly paper trading can help refine scaling techniques and improve overall trading performance.