> For the complete documentation index, see [llms.txt](https://sol-bangers-only.gitbook.io/sol-bangers-only/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sol-bangers-only.gitbook.io/sol-bangers-only/backtests-1/whats-in-a-backtest-report.md).

# What’s In A Backtest Report

Backtest reports are 6 - 8 pages depending on the number of parameters entered as part of the Query to be backtested.  All reports are currently static pdf documents hosted on a reputable cloud storage solution.  Report links are presigned and expire after 7 days.  They are unique to the backtest generated and only available to the user who requested the backtest.

Backtests consist of the following:

* Page 1:  presents summary statistics of the data set returned from the backtest.  Depending on the number of items returned, an Outliers table is presented.  The summary statistics are calculated based on the 95-th percentile of data.
  * Summary statistics include the count of items returned in the Backtest, the [mean](https://en.wikipedia.org/wiki/Average), the [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation), as well as the minimum, the 25% percentile, the 75% percentile, and the maximum values.
* Page 2:  presents a [box plot](https://en.wikipedia.org/wiki/Box_plot) of the data.  [Box plots](https://en.wikipedia.org/wiki/Box_plot) are a visual representation of the data distribution.  We include a scatter plot in parallel of the box plot for a more refined view of the distribution.
* Page 3: presents a [histogram](https://en.wikipedia.org/wiki/Histogram) of the data.  [Histograms](https://en.wikipedia.org/wiki/Histogram) are a different view of the results distribution of the data.
  * We use a standard bucketing of results at 0.5x, 1x, 2x, 3x, 4x, 5x, 6x, 7x, 8x, 9x, and 10x+.  Any results over 10x are grouped together in the histogram view.
* Page 4: presents the Day of Week box plots for the full data distribution to help give a view if there is a bias toward day or period of the week that is more favorable for the Query backtested.
* Page 5: presents the Pump.Fun and non-Pump.Fun distributions for the Query backtested.
  * If a Pump.Fun parameter is included as part of the Query, then only those results will be included.
* Pages 6 and 7:  present scatter plots of data that are dependent on the data returned. We plot the parameter that has the highest correlation to Gain as well as plot the two parameters that have the closest correlation to each other.
  * These plots are dependent on the data returned and the number of parameters entered.
* Page 8:  presents a scatter plot matrix of all parameters in the backtest against all other parameters queried and will show two different colors for pump.fun and non-pump.fun launches.  These can be used to generate other ideas and potentially refine searches and Queries to more targeted areas of the distribution.


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