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Navigating the volatile world of cryptocurrencies requires a keen understanding of market sentiment. This blog post explores some of the essential tools and techniques for analyzing the mood of the crypto market, using the cryptoQuotes-package.

The Cryptocurrency Fear and Greed Index in R

The Fear and Greed Index is a market sentiment tool that measures investor emotions, ranging from 0 (extreme fear) to 100 (extreme greed). It analyzes data like volatility, market momentum, and social media trends to indicate potential overvaluation or undervaluation of cryptocurrencies. This index helps investors identify potential buying or selling opportunities by gauging the market’s emotional extremes.

This index can be retrieved by using the cryptoQuotes::getFGIndex()-function, which returns the daily index within a specified time-frame,

## Fear and Greed Index
## from the last 14 days
tail(
  FGI <- cryptoQuotes::getFGIndex(
    from = Sys.Date() - 14
  )
)
#>            FGI
#> 2024-01-03  70
#> 2024-01-04  68
#> 2024-01-05  72
#> 2024-01-06  70
#> 2024-01-07  71
#> 2024-01-08  71

The Long-Short Ratio of a Cryptocurrency Pair in R

The Long-Short Ratio is a financial metric indicating market sentiment by comparing the number of long positions (bets on price increases) against short positions (bets on price decreases) for an asset. A higher ratio signals bullish sentiment, while a lower ratio suggests bearish sentiment, guiding traders in making informed decisions.

The Long-Short Ratio can be retrieved by using the cryptoQuotes::getLSRatio()-function, which returns the ratio within a specified time-frame and granularity. Below is an example using the Daily Long-Short Ratio on Bitcoin (BTC),

## Long-Short Ratio
## from the last 14 days
tail(
  LSR <- cryptoQuotes::getLSRatio(
    ticker = "BTCUSDT",
    interval = '1d',
    from = Sys.Date() - 14
  )
)
#>              Long  Short LSRatio
#> 2024-01-03 0.5069 0.4931  1.0280
#> 2024-01-04 0.6219 0.3781  1.6448
#> 2024-01-05 0.5401 0.4599  1.1744
#> 2024-01-06 0.5499 0.4501  1.2217
#> 2024-01-07 0.5533 0.4467  1.2386
#> 2024-01-08 0.5364 0.4636  1.1570

Putting it all together

Even though cryptoQuotes::getLSRatio() is an asset-specific sentiment indicator, and cryptoQuotes::getFGIndex() is a general sentiment indicator, there is much information to be gathered by combining this information.

This information can be visualized by using the the various charting-functions in the cryptoQuotes-package,

## get the BTCUSDT
## pair from the last 14 days
BTCUSDT <- cryptoQuotes::getQuote(
  ticker = "BTCUSDT",
  interval = "1d",
  from = Sys.Date() - 14
)
## chart the BTCUSDT
## pair with sentiment indicators
cryptoQuotes::chart(
  slider = FALSE,
  chart = cryptoQuotes::kline(BTCUSDT) %>%
    cryptoQuotes::addFGIndex(FGI = FGI) %>%
    cryptoQuotes::addLSRatio(LSR = LSR)
)
Bitcoin charted against Fear and Greed Index and the Long-Short Ratio using R
Bitcoin (BTC) plotted with Fear and Greed Index along side the Long-Short Ratio

Installing cryptoQuotes

Installing via CRAN

# install from CRAN
install.packages(
  pkgs = 'cryptoQuotes',
  dependencies = TRUE
)

Installing via Github

# install from github
devtools::install_github(
  repo = 'https://github.com/serkor1/cryptoQuotes/',
  ref = 'main'
)

Note: The latest price may vary depending on time of publication relative to the rendering time of the document. This document were rendered at 2024-01-08 23:30 CET


Gauging Cryptocurrency Market Sentiment in R was first posted on January 12, 2024 at 8:05 am.

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Continue reading: Gauging Cryptocurrency Market Sentiment in R

Analyzing Cryptocurrency Market Sentiment: Connotations and Future Implications

The ever-volatile world of cryptocurrencies necessitates an in-depth understanding of market sentiments. This article discusses the various tools and techniques that can be utilised to gauge the mood of the crypto market. These techniques, centered around cryptoQuotes-package, offer the potential for significant strategic advantages for investors.

“Fear and Greed Index” for Cryptocurrencies

The “Fear and Greed Index” is a market sentiment tool used to measure investor emotions. The tool uses an array of data including volatility rates, market momentum, and trends within social media to potentially identify over or undervalued cryptocurrencies. Think of it as a market emotion barometer that is used to recognize potential investment opportunities.

The Fear and Greed Index is a powerful tool that aids cryptocurrency investors in capitalising on the emotional extremes of the market by identifying potential buying or selling opportunities.

Long-Term Implications

Systematically integrating tools such as the Fear and Greed Index in investment strategies can enable decision-makers to gain a more thorough understanding of market sentiments. This can subsequently result in safeguarding investments from significant losses while also underlying potential routes for substantial returns by leveraging on the market’s emotional extremes. This tool’s value will potentially grow as the crypto market expands further.

Long-Short Ratio of Cryptocurrency

Another vital metric for identifying market sentiment is the Long-Short Ratio. This ratio gives an insight into market sentiment by comparing the number of long positions (those betting on price increases) against short positions (those betting on price decreases). A higher ratio reflects bullish sentiment, while a lower ratio signifies bearish sentiment.

Understanding the Long-Short Ratio helps cryptocurrency traders make informed decisions, thereby mitigating risk and improving potential returns.

Long-Term Implications

With the burgeoning mainstream interest in cryptocurrencies, understanding detailed technicalities such as the Long-Short Ratio will likely prove increasingly crucial. As such, competitors who adeptly use this ratio will potentially have a decisive strategic advantage in forecasting market trends and making informed investment decisions.

The Synthesis of Crypto Market Tools

The amalgamation of the Fear and Greed Index with the Long-Short Ratio can provide comprehensive insights into the cryptocurrency market’s surplus of moving parts. While each tool has its respective benefits, the consolidation of the two can offer sumptuous depth.

By combining asset-specific sentiment indicators like Long-Short Ratio with general sentiment indicators like Fear and Greed Index, investors can make well-informed investment decisions.

Long-Term Implications

The burgeoning expansion of the cryptocurrency market will likely increase the complexity of analyzing market sentiment. As such, a more nuanced and robust toolset will be necessary to maintain competitive investor advantages. Consequently, regularly using a combination of these tools to gauge market sentiment will potentially offer significant ROI benefits in the long run.

Actionable Advice

  1. Use “Fear and Greed Index” to capitalize on emotional extremes and identify buying or selling opportunities.
  2. Utilize the Long-Short Ratio to make judicious investments in line with overall market sentiment.
  3. Combine multiple tools and resources to derive comprehensive insights into cryptocurrency market trends.
  4. Regularly update and refine your investment strategies based on the most recent market sentiment readings.

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