The table behind the CSV button of the Seasonality tab.
Arguments
- analysis
The result of
seasonality_analysis().
Value
The groups of the analysis, with the period in front and the
group column named after the period, such as month.
Examples
btc <- get_history("Bitcoin (BTC)", as.Date("2013-04-29"))
golemcrypto:::seasonality_csv(seasonality_analysis(btc, "month"))
#> month returns mean_pct median_pct up_pct best_pct worst_pct
#> 1 Jan 13 -0.2909088 0.6910592 53.84615 39.835567 -32.08346
#> 2 Feb 13 6.8058464 11.4810969 69.23077 43.716856 -33.81771
#> 3 Mar 13 -0.8480297 -2.1619465 46.15385 30.531110 -32.93329
#> 4 Apr 13 9.2210271 7.5802233 61.53846 34.477899 -17.18056
#> 5 May 14 9.2234063 3.3732947 50.00000 69.628819 -35.35456
#> 6 Jun 14 -1.5659196 -0.5140670 50.00000 26.713348 -37.76883
#> 7 Jul 14 7.7163080 8.1254476 71.42857 23.916334 -8.37172
#> 8 Aug 14 2.3174099 -7.1875290 35.71429 63.576829 -19.17934
#> 9 Sep 14 -2.4603540 -2.4092218 42.85714 7.392924 -19.00922
#> 10 Oct 14 17.5478457 12.9418542 71.42857 53.383459 -12.56590
#> 11 Nov 13 41.8265543 8.7832808 61.53846 453.642183 -36.41158
#> 12 Dec 13 4.0366002 -3.1921079 38.46154 47.773176 -33.23978