seasonalityPlot (version 1.3.1)

CryptoRSIheatmap: CryptoRSI Heatmap Function

Description

This function generates a heatmap of RSI values for a randomly selected subset of cryptocurrencies. The coins are chosen based on their market cap ranking, and the function provides insights into market sentiment using RSI. It allows for visualizing potential overbought or oversold conditions.

Usage

CryptoRSIheatmap(
  coin_num = 200,
  useRank = 1000,
  n = 21,
  minDataPoints = NULL,
  useRankPlot = TRUE,
  OutputData = FALSE
)

Value

If `OutputData` is TRUE, returns a data frame with symbols, ranks (or sequential numbers), RSI values, and colors for plotting. Otherwise, displays a heatmap plot.

Arguments

coin_num

An integer specifying the number of coins to display in the heatmap. Must be less than the value of `useRank`.

useRank

An integer defining the range within which coins are randomly selected based on their market cap ranking. Defaults to 1000.

n

An integer indicating the number of periods for calculating moving averages in the RSI computation. Defaults to 21.

minDataPoints

An integer specifying the minimum number of data points required for each coin. Defaults to `n + 5`.

useRankPlot

A boolean that determines if the x-axis should plot ranks instead of sequential numbers. Defaults to TRUE.

OutputData

A boolean that decides if the function should return the final plot data table or only display the heatmap plot. Defaults to FALSE.

Author

Satoshi Kume

Details

CryptoRSI Heatmap Function

Generates a heatmap of the Relative Strength Index (RSI) for a randomly selected subset of cryptocurrencies. This function uses the `crypto2` and `TTR` packages to fetch cryptocurrency data and calculate RSI values, respectively. The heatmap visualizes RSI values to identify potential overbought or oversold conditions in the crypto market.

Examples

if (FALSE) {

# A heatmap of 200 coins using 21 days RSI
CryptoRSIheatmap(coin_num = 200, n = 21)

# A heatmap of 300 coins using 90 days RSI
CryptoRSIheatmap(coin_num = 300, n = 90)
}