> ## Documentation Index
> Fetch the complete documentation index at: https://www.questforedge.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Position Sizing Models Compared

#### **Direct Answer**

Position sizing models determine how trade size is calculated. The most common approaches are fixed size, fixed risk percentage, and adaptive sizing, each with different impacts on risk, drawdown, and long-term performance.

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#### **In Simple Terms**

Position sizing is not just about how big you trade—it defines **how your account grows, declines, and survives over time**.

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#### **Quick Breakdown**

* Fixed size → simple but inconsistent risk
* Fixed risk % → consistent and scalable
* Adaptive sizing → flexible but complex

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### 1. Fixed Position Size

#### How it works

You use the same lot size on every trade.

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#### Example

* Always trade 1 lot, regardless of stop loss or account size

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#### Pros

* Simple to use
* No calculations required

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#### Cons

* Risk varies from trade to trade
* Can lead to oversized losses
* Does not adapt to account changes

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#### Key Insight

> Fixed size creates inconsistent risk, which leads to unstable results.

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### 2. Fixed Risk Percentage (Most Common)

#### How it works

You risk a fixed percentage of your account on each trade (e.g., 1%).

Position size is adjusted based on:

* Account balance
* Stop loss distance

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#### Example

* Account: \$10,000
* Risk: 1% → \$100 per trade

Position size is calculated so the maximum loss is always \$100.

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#### Pros

* Consistent risk across trades
* Automatically adapts to account size
* Supports long-term survival

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#### Cons

* Requires calculation
* Slower growth during small account phases

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#### Key Insight

> This model keeps risk stable and allows the system to scale naturally.

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### 3. Adaptive Position Sizing

#### How it works

Position size changes based on conditions such as:

* Recent performance
* Market volatility
* Confidence level

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#### Examples

* Increase size after wins
* Reduce size during drawdown
* Adjust based on volatility

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#### Pros

* Flexible
* Can optimize performance

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#### Cons

* Hard to execute consistently
* Prone to emotional bias
* Can increase risk unintentionally

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#### Key Insight

> Adaptive sizing introduces complexity and often leads to inconsistency.

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### Comparison Summary

| Model           | Risk Consistency | Complexity | Stability | Suitability  |
| --------------- | ---------------- | ---------- | --------- | ------------ |
| Fixed Size      | Low              | Low        | Low       | Beginners    |
| Fixed Risk %    | High             | Medium     | High      | Most traders |
| Adaptive Sizing | Variable         | High       | Variable  | Advanced     |

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### Which Model Is Most Reliable?

For most traders, the fixed risk percentage model provides the best balance:

* Consistent risk
* Controlled drawdowns
* Scalable growth

It aligns directly with:

* Risk management principles
* Positive expectancy
* Long-term survival

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### Common Mistakes

* Mixing multiple models
* Increasing size after losses
* Ignoring stop loss distance
* Overcomplicating position sizing

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### Key Insight

Position sizing is not just a technical detail.

> It is one of the main drivers of trading performance.

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### Next Step

To understand how risk execution affects results:

[→ *Why Manual Risk Management Fails*](../execution/why-manual-execution-fails-over-time)