> For the complete documentation index, see [llms.txt](https://pulse-algo.gitbook.io/pulse-algo-pro-resources-and-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pulse-algo.gitbook.io/pulse-algo-pro-resources-and-docs/pulse-algo-pro-ecosystem/sensitivity-and-precision-custom-settings.md).

# Sensitivity & Precision (Custom Settings)

**Sensitivity & Precision** (Custom Settings) are user-definable and change how quickly the Pulse Pro algorithm will pick up a trade and fire a buy or sell signal. The recommended range for **Sensitivity** is between **5-80** and the recommended range for **Precision** is between **25-100**. These are general ranges and you may find your settings land outside of these parameters based upon your trading style! Feel free to adjust as deemed necessary!

{% hint style="success" %}
When optimizing custom settings it is recommended to adjust Precision prior to Sensitivity adjustment!
{% endhint %}

{% hint style="info" %}
Note: Low inputs to both Sensitivity & Precision provide the earliest and most agile confirmation signal mode but may increase fakeout conditions. To avoid fakeout conditions when using a more agile confirmation signal mode it is recommended to identify additional [Points of Confluence](/pulse-algo-pro-resources-and-docs/pulse-pro-guides/identifying-confluence-with-pulse-pro.md) to confirm Buy & Sell Signals.
{% endhint %}

These settings can be changed and tweaked at any time through the settings of Pulse Algo Pro!

![Select the Gear Icon](/files/SgSp5tBjonelQ1sckAtB)

<figure><img src="/files/GviHmFcRD6SjzjZgZj0S" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
Hovering over the ' i ' within the settings pane of Pulse Algo Pro will provide a quick reference for recommended ranges!
{% endhint %}

{% hint style="success" %}
If custom settings aren't for you [Simpli Auto Mode](/pulse-algo-pro-resources-and-docs/pulse-algo-pro-ecosystem/simpli-auto-mode.md) may be opted for as our system is dynamically optimized for many market conditions!
{% endhint %}