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Crisis Response Strategies During Cryptocurrency Crash: A Netnographic Studies of Lunatics Community Lady Joanne Tjahyana
Petra International Journal of Business Studies Vol. 5 No. 2 (2022): DECEMBER 2022
Publisher : Master of Management, School of Business and Management, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ijbs.5.2.145-154

Abstract

Cryptocurrency is a speculative investment due to its volatility which could result in significant returns but also could end in crashes. Terra blockchain collapsed when its stable coin UST failed to maintain its peg to 1 USD and caused its sister coin LUNA to drop by more than 90% only in a few days. Terra LUNA itself has gained success and attracted many investors that became a strong community called Lunatics. Using Netnography; this study tried to observe crisis response strategies from Do Kwon, founder and CEO of Terraform Labs, and from Terra LUNA official Twitter account during the crash. Also, this study used community sentiment as an indicator to measure the success of the strategies. In addition, this study observed the interaction of the community during the crash period and how they overcome the crisis together. The results show that mortification and corrective action are the most effective strategy to generate positive sentiment. However, denials toward rumors cause more negative sentiment within the community. Despite the recovery plan from the Terra network, the Lunatics community also has its ways of recovering from the crisis. This study also revealed that community influencers' roles are crucial in controlling rumors during the crisis.
WhaleBot Alerts Telegram Channel and Google Alerts as Information Media for XRP Cryptocurrency Traders Lady Joanne Tjahyana
Petra International Journal of Business Studies Vol. 7 No. 2 (2024): DECEMBER 2024
Publisher : Master of Management, School of Business and Management, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/petraijbs.7.2.125-133

Abstract

Ripple (XRP) is one of the most significant cryptocurrencies that attracts many traders to invest. Traders often look for information from the media as a reference for their trading management strategy. This research aims to utilize WhaleBot Alerts Telegram channel and Google Alerts as trading information media by looking for the relationship between whale transactions, news sentiment, and price returns. The researcher collected XRP whale transactions from the WhaleBot Alerts Telegram channel and XRP news from Google Alerts within a crypto winter period, from November 2021 to January 2023, and analyzed the data using descriptive statistical analysis. This research also follows several variables and formulas from previous studies. After analyzing 457 XRP whale transaction datasets, the researcher finds a significant relationship between the number of trading days and trading return on investment. The relationship shows that the more days, the greater the chance of profit. The other variables give reference patterns, such as the number of whale transactions, total whale transaction value, the most significant transaction value, and news topic. Finally, this research develops a simple XRP short-term trading model using the WhaleBot Alerts Telegram channel data and Google Alerts. In conclusion, trading initiated by XRP whale's transactions and XRP news could give a 76.53% chance of making a profit. Therefore, XRP traders can use the WhaleBot Alerts Telegram channel and Google Alerts as their trading information media.