-shows week-on-week % change, and 10yr averages of these % changes -scan across the 10yr averages to get a good idea of the seasonality of an asset -best used on commodities with strong seasonal tendencies (Gold, Wheat, Coffee, Lean hogs etc) -works only on daily timeframe -by default it will compare SMA(length) in the following way, BTC: Sunday cf previous Sunday | ES/Gold: Monday cf previous Monday -for most assets, 5 daily bars in a week (SMA(5)) => that's the default. For BTC can change this to 7.
~~inputs: -change input year to show any previous decade of asset's history; the table will display over that year on the chart -choose expression for Average of % change week on week: SMA, ohlc4, vwma, vwap (default SMA) -choose number of daily bars in a week (i.e. SMA length) -change label sizes/colors
~~notes: -When applied to current year: will print the 10yr average for previous weeks in the year; 9yr average for future weeks in the year -drawings and SMA plot on the above chart are just to show visually how the week's average is calculated, and how this lines up with the label -current week of year will highlight in large font orange by default -the first 2 weeks of the year are omitted because of a bug i can't figure out, which throws out bad numbers. -cannot print all the values for each of previous 10yrs; 'code too long' error. Could likely do this via using matrices but would require a rewrite
PayPal.Me/twingall
BTC: 3JrhUwNRnKyqhaa1n1AXKeAubNeEFoch6S
ETH erc20: 0x4b0400B1c18503529ab69611e82a934DDe4Ab038
ETH bep20: 0x1F0f03F184079bb1085F8C9dF3a8191C9f5869B3