> For the complete documentation index, see [llms.txt](https://docs.bigbeluga.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bigbeluga.org/backtesters/strategy-builder/properties.md).

# Properties

TradingView Strategy Properties Options

The **Properties** panel defines the core simulation environment for the BigBeluga Backtester.\
These parameters control capital allocation, order execution, commission settings, and general backtesting conditions on [TradingView](/community.md#tradingview).

{% hint style="info" %}
Each property affects how the strategy executes, manages, and evaluates trades during historical simulation.
{% endhint %}

<details>

<summary>CAPITAL</summary>

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* **Initial Capital**: Sets the starting balance for backtesting.
* **Base Currency**: Defines the currency used in the backtest.
* **Order Size**: Specifies position size as a percentage of equity or a fixed amount.
* **Pyramiding**: Limits the number of simultaneous open orders.

</details>

<details>

<summary>COST SIMULATION</summary>

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* **Commission**: Sets trade fees as a percentage or fixed value.
* **Verify Price for Limit Orders**: Defines the number of ticks to verify order execution.
* **Slippage**: Adjusts simulated price deviations due to market conditions.

</details>

<details>

<summary>MARGIN</summary>

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* **Margin for Long/Short Positions**: Sets margin requirements as a percentage of position size.

</details>

<details>

<summary>RECALCULATE</summary>

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* **After Order is Filled**: Recalculates strategy logic when a trade is executed.
* **On Every Tick**: Updates calculations on each price tick.

</details>

<details>

<summary>FILL ORDERS</summary>

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* **Using Bar Magnifier**: Simulates intrabar price movements for more accurate fills.
* **On Bar Close**: Executes orders at the close of each bar.
* **Using Standard OHLC**: Uses Open, High, Low, Close data for order execution.

</details>

The **Properties Panel** establishes the backtest’s foundational parameters, ensuring every simulation reflects realistic market and brokerage conditions.

By adjusting capital, fees, and slippage, traders can create **accurate, risk-aware simulations** that closely replicate live trading performance.