Package: seasonalityPlot 1.3.1

Satoshi Kume

seasonalityPlot: Seasonality Variation Plots of Stock Prices and Cryptocurrencies

The price action at any given time is determined by investor sentiment and market conditions. Although there is no established principle, over a long period of time, things often move with a certain periodicity. This is sometimes referred to as anomaly. The seasonPlot() function in this package calculates and visualizes the average value of price movements over a year for any given period. In addition, the monthly increase or decrease in price movement is represented with a colored background. This seasonPlot() function can use the same symbols as the 'quantmod' package (e.g. ^IXIC, ^DJI, SPY, BTC-USD, and ETH-USD etc).

Authors:Satoshi Kume [aut, cre]

seasonalityPlot_1.3.1.tar.gz
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seasonalityPlot_1.3.1.tgz(r-4.4-any)seasonalityPlot_1.3.1.tgz(r-4.3-any)
seasonalityPlot_1.3.1.tar.gz(r-4.5-noble)seasonalityPlot_1.3.1.tar.gz(r-4.4-noble)
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seasonalityPlot.pdf |seasonalityPlot.html
seasonalityPlot/json (API)

# Install 'seasonalityPlot' in R:
install.packages('seasonalityPlot', repos = c('https://kumes.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kumes/seasonalityplot/issues

On CRAN:

3.30 score 1 stars 6 scripts 373 downloads 2 exports 63 dependencies

Last updated 2 months agofrom:2c96eb93b2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-winOKOct 26 2024
R-4.5-linuxOKOct 26 2024
R-4.4-winOKOct 26 2024
R-4.4-macOKOct 26 2024
R-4.3-winOKOct 26 2024
R-4.3-macOKOct 26 2024

Exports:CryptoRSIheatmapseasonPlot

Dependencies:assertthatbase64encbslibcachemclicpp11crayoncrypto2curldigestdplyrdygraphsevaluatefansifastmapfontawesomefsgenericsgluehighrhmshtmltoolshtmlwidgetsjanitorjquerylibjsonliteknitrlatticelifecyclelubridatemagrittrmemoisemimepillarpkgconfigplotrixplyrprettyunitsprogresspurrrquantmodR6rappdirsRcpprlangrmarkdownsasssnakecasestringistringrtibbletidyrtidyselecttimechangetinytexTTRutf8vctrswithrxfunxtsyamlzoo