# Experimenting with different parameters

### Step 1: Navigate to the Backtest report

Select a strategy name from the **Test page** to access the **Backtest Tools** or run a backtest from the **Build page**. 

### Step 2: Experiment with different actions

To ensure you have selected the most appropriate trade, try using either a **Buy** or **Sell** action and how this impacts the win and loss percentages. 

### Step 3: Experiment with different profit and/or stop loss targets 

Refine the stop loss and profit targets in order to achieve the best historic performance. For automated trading, the best way to manage your open positions and risk is to activate stop-loss and take-profit orders as part of your exit strategy. A stop loss order helps you to define your risk ratio and the amount you are prepared to lose as part of a single trade. Meanwhile, a take-profit order can be used to circumvent the innately human traits of greed by locking in profits on short or long-term price moves.

<figure><img src="/files/UspXFgO68wHiAyIKRMX8" alt=""><figcaption></figcaption></figure>

### Step 4: Experiment with different timeframes

Different timeframes will have a significant impact on strategy performance. Check which timeframe is most profitable for strategy noting the the number of trades executed. Most statisticians would agree that the minimum sample size to get any kind of meaningful result is 100 so if your strategy has less than 100 trades the results may not be reliable.&#x20;

<figure><img src="/files/zx6sCQiVv95m1FG2EUr3" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
**Please remember that past performance may not be indicative of future results. Different types of strategies involve varying degrees of risk, and there can be no assurance that the future performance will be equal to the backtest.**
{% endhint %}


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