Putting Crypto Volatility in Context: What We Can Learn From the History of Bitcoin Crashes

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Be warned, volatility is also known to blow up stop-losses too early, leaving traders out of potentially profitable trades while trading a trend. A futures contract is an agreement to buy or sell a cryptocurrency at a future date at a predetermined price. Like options, futures allow traders to take advantage of price movements without owning the underlying asset. However, unlike options, futures contracts have expiration dates and require traders to either buy or sell the underlying asset at the agreed-upon price.

Crypto Volatility

If the prices do not converge as expected, traders could end up losing money. To minimize this risk, traders can use risk management techniques such as stop-loss orders and diversify their portfolio by trading a variety of pairs. To implement a pairs trading strategy, traders need to identify two cryptocurrencies that are correlated and track the price differential between them. This can be done manually by tracking the prices of the two assets and calculating the price differential, or it can be done using specialized software that automatically tracks the price differential. For example, let’s say you believe that the price of Ethereum is going to rise over the next few months. You could buy a futures contract on Ethereum, agreeing to buy the asset at a specific price on a specific date in the future.

Volatility Incoming? The Major Things to Watch in Crypto This Week

Furthermore, the correlation among the prices of cryptocurrencies ranges from 0.007 to 0.972, which indicates that some values are higher than 0.80, suggesting high co-movements and multicollinearity among the series. The correlation between ADA and EOS prices was the lowest, while the correlation between BTC and ETH was the highest at their absolute values. This indicates that the correlation between the COVID-19 pandemic and the most popular cryptocurrencies is higher, while the correlation between the least popular cryptocurrencies is lower. However, Pearson product-moment-based unweighted ordinary results of correlation values provide an average correlation without handling the variations in the corrections. Therefore, a more detailed correlation was obtained using the DCC-GARCH model and wavelet analysis. Another commonly used method is GARCH, typically used to estimate the volatility of a time series such as stocks, bonds, market indices and recently, cryptocurrencies .

Crypto Volatility

Many investors worried that El Salvador’s troubled economy could burden the value of BTC. Bad news, security concerns, regulation, and perceived value can impact cryptocurrency values. Section4 describes our AT-LSTM-MLP model and an outline of appropriate hyperparameters and specifications required to run experiments. Section5 shows empirical results followed by an analysis learned from experiments. Please also note that data relating to the above-mentioned cryptocurrency presented here are based on third party sources.

Crypto has a record of volatility, but it’s not alone

In addition, the unique freedom of that market made investors want to invest in such cryptocurrencies to hedge their losses during the COVID-19 pandemic. Hence, the hedging features of cryptocurrencies might also stimulate the emergence of crisis-led dynamics for further periods due to a surge in volatile behaviors. The major concern of this debate is that the digital asset markets have neither intrinsic value nor offer dividends. In the last couple of years, the cryptocurrency markets have launched an exponential increase in the demand for those assets, and thereby have witnessed a huge growth in the degree of market capitalization . According to White , the total number of cryptocurrencies tripled from 2014 to 2018. In this vein, the huge growth in market capitalization and the expanding number of digital assets lead us to predict potential problems that may occur along with an increase in market liquidity.

Crypto Volatility

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Crypto’s Value Comes From Crypto’s Volatility

The ease of trading among different cryptocurrencies is largely exposed to variations in the level of liquidity (Phillip et al. 2019). Hence, it has garnered interest from many researchers because of the close linkage between liquidity and market efficiency (Leirvik et al. 2017; Wei 2018; de la Horra et al. 2019; Noda 2020; Takaishi and Adachi 2020; Zhang et al. 2020). Furthermore, cryptocurrencies show a particular type of behavior, such as long memory and multifractality (Bariviera et al. 2017; Al-Yahyaee et al. 2018; Derbentsev et al. 2019; Mensi et al. 2019; Bariviera 2020). The Cryptocurrency Volatility Index has been introduced to estimate the 30-day future volatility of the cryptocurrency market. In this article, we introduce a new Deep Neural Network with an attention mechanism to forecast future values of this index.

Regardless of the confidence level investigated, the selected crypto assets, except the USDT, were found to have substantially greater downside risk than SSE and S&P 500. At 5% and 1% confidence levels, the VaR modeling implies that 5% and 1% VaR are the returns for which there are 5% and 1% chances of experiencing a worse return in the sample period, respectively. In addition, the analysis covers the CVaR model to quantify the expected shortfall to measure the likelihood of loss exceeding the value-at-risk.

What drives volatility in Bitcoin market?

This means that the COVID-19 pandemic has led to more integrated cryptocurrency markets, and thus has also stimulated herding behavior among financial investors. One reason for this expansion is due to the large gains that cryptocurrencies can bring to investors, thanks to dramatic fluctuations in prices . Furthermore, unlike the stock market, the cryptocurrency market has much fewer restrictions, allowing investors to complete a transaction quickly and freely . Unfortunately, the ease of trading in cryptocurrency makes it very vulnerable to external factors such as news of financial developments, the movement of other assets and even the statements from influencers .

  • Figures6, 7 and 8 depict the wavelet coherence for the highest three cryptocurrencies in terms of their rank of unconditional volatility, given in Table 7.
  • Average_true_rangeOf course, given the way that ATR is computed, once the price has broken the range the ATR levels will start rising.
  • Both most-anticipated events of the week will take place on Wednesday, suggesting increased volatility.
  • When more people want to buy Bitcoin or Ethereum, those coins increase in value because demand has increased.
  • Love Hate Inu is a community-centric platform that encourages social interaction and constructive discussions on current topics by allowing users to stake tokens to vote in polls.
  • Most notable is the Bitcoin Volatility Index , but there are similar volatility indexes to track other cryptocurrency markets, including Ethereum and Litecoin.

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This applies not only to cryptocurrencies but also to stocks and other financial instruments. To understand the volatility of cryptocurrencies, it’s important to understand how their supply changes as more people buy them and as the mining process continues to produce new coins. When more people want to buy Bitcoin or Ethereum, those coins increase in value because demand crypto volatility has increased. The increased demand and limited supply of coins create a rise in price because more people want to purchase them than there are available to sell. They are fast and secure modes of transactions that are not prone to any government control or interference. At the time of writing, the global crypto market cap is $1.2 Trillion, a -39% change from 2021.

An overview of crypto and market volatility

The coins are materialized by investors who mine them by lending electronic power to affirm other investors’ transactions in which the cryptocurrencies are bought in exchange. Therefore, considering the lack of control mechanisms and corporate infrastructure, cryptocurrencies encounter several potential threats when giant investors sell their assets, resulting in a substantial decrease in prices. While this provides a net gain for investors who have a chance to actively control and monitor the market, the rest of the small investors are confronted by a net loss when prices drop below the buying price. This then paves the way for giant investors to invest in those markets to stimulate the demand mechanism along with an increase in the prices of assets, thereby providing speculation on unbounded and unrestrained digital currencies. For instance, Patterson argues that cryptocurrencies are highly prone to severe bubbles. He examines at real-world data such as the fact that the crypto lost 80 percent of its value, on average, which was greater than the bursting of the dotcom bubble in 2002.

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