> For the complete documentation index, see [llms.txt](https://klickanalytics.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://klickanalytics.gitbook.io/docs/apps/single-security-analysis/best-days.md).

# Best days

We run analysis on historical data to give you market trends and more. With our Best Buy/Sell days app, our users can view;

* Best days where the instruments performance best or worst
* View graphical representation of each days e.g. From Monday to Fridays
  * **High**
  * **Low**
  * **Returns High (%)**
  * **Returns Low (%)**
  * **Returns Average (%)**
* Run this analysis based on date range
* Run this analysis on any global symbol like equities, commodities, currencies and much more.

<figure><img src="https://3315571876-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fa9DKqYOZWk2CHHmS2pYQ%2Fuploads%2FanwMxJkkINW13WehoZ9l%2Fimage.png?alt=media&amp;token=51ff0247-d379-451b-8ee8-e6669ae00e37" alt=""><figcaption></figcaption></figure>

**To view** : Search for any global symbol, say SPY, and then from the top menu, select Analysis > [Best Days](https://klickanalytics.com/symbol_performance_bestday_bs?s=SPY)