Seasonal Statistics Dashboard

Display historical, seasonal statistics for each individual day of a specified month.

- Find the mean seasonal volatility for any given trading day to help with trading a day's range.
- Get the number of bullish and bearish closes to check for bias, and calculate a day's expected value.
- Sample years using specific filter settings so you can control for different economic environments.
- Use the custom input options to study seasonality on other indicators.
- See what year a trading day printed its largest and smallest value for historical analysis.

The indicator's settings start with the **Data Inputs.** These settings specify the time you want to sample for your seasonal analysis.

**Month:**Select the month to sample historical, seasonal statistics from.**Mean Calculation:**Select the mean calculation used for the column header summary statistic. Median is effected less by outlier data, and average incorporates all data.**Year Filter Type:**Select the filter to samples years with.**Before / After Year:**When using the**"Before Year"**or**"After Year"**option in the**"Year Filter Type"**input, removes all years before or after an input year from being sampled into the dashboard's statistics.**Year Filter List:**When using**"Exclude Year List"**, all years specified in this input and separated with a comma are removed from sampling. Using**"Include Year List"**will make the dashboard only sample years from the years in this input.

Customize the visual aspects of the dashboard with these inputs. There are more options that effect the look of the indicator. These are the ones that effect the most stuff in the dashboard.

**Use Row Limit Inputs:** When this is on, the **Lower Row Limit** and **Upper Row Limit** inputs set the range between two trading days. Below are two pictures showing how it limits the number of rows visible.

The **Trading Day** column will display a 🎯 emoji and highlight the background for the current trading day. This will only display if you're viewing the current month's stats.

**Samples **is the simplest column of data: it tells you how many times that trading day has been sampled. Some days are sampled rarely, or infrequently. Days in the future will always be 1 sample short of days that have passed.

The Expected Value column is dependent on the Bull & Bear calculation. The odds from the Bull & Bear column are used in the expected value formula.