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Coinscious Cryptocurrency Market Report - August 5, 2019

Bitcoin Climbs Amid Altcoins’ Failed Recovery

By | Coinscious Lab, Data Analytics, Market Report | No Comments

Overview

Released bi-weekly, this report aims to identify broad trends in the cryptocurrency market. In order to reflect the latest developments in this fast-paced and volatile market, the reports plan to focus on metrics derived from a 30-day rolling window of data, this time from July 7, 2019 to August 4, 2019. Bitcoin

Our universe of analysis includes 50 of some of the most widely used and traded cryptocurrencies. Please see Appendix A for the complete list. 

Analysis

The performance of major cryptocurrencies over the past month was mostly bad – only 6 out of the 50 cryptocurrencies that we examined are up from their values 30 days ago. Bitcoin (BTC), the largest cryptocurrency by market capitalization, is currently trading slightly above $11000 at the time of writing, and traded between $9500 and $13000 last month. BTC has made steady gains over the past six consecutive days.

Outside of cryptocurrencies, the S&P 500 is down 1.95% from 30 days ago and closed last Friday at $2932.05.

Figure 1 presents the risk versus return trade-off over the past 30 days by plotting mean daily return versus historical daily volatility for various cryptocurrencies. 

Figure 1. Plot of mean daily return against historical daily volatility for individual cryptocurrencies from July 7, 2019 to August 4, 2019. Higher returns at a given level of risk, measured through historical daily volatility, indicates a better investment.

Bitcoin - Risk Return - August 5, 2019

The best performer overall over the past month was Huobi Token (HT), with a total return of 15.91%. Huobi Token can be used as payment in Huobi, one of the world’s oldest cryptocurrency exchanges. Huobi Token also had the highest Sharpe ratio of the cryptocurrencies analyzed.

The second and third best performing cryptocurrencies were Tezos (XTZ) and THETA (THETA), with total returns of 13.35% and 8.66% respectively. 

HyperCash (HC) was the worst performing cryptocurrency, with total losses of 44.80%. HyperCash is a cryptocurrency designed to facilitate cross-platform transactions.

The second and third worst performing cryptocurrencies were Komodo (KMD) and QTUM (QTUM) with total losses of 38.71%  and 36.82% respectively.

Figure 2a. Mean daily returns, historical daily volatility, total returns, and ex-post Sharpe ratio for each of the five cryptocurrencies with the highest total returns from July 7, 2019 to August 4, 2019. More positive Sharpe ratios are more desirable. The Sharpe ratio is calculated with the 10 year US Treasury bill rate as the annual risk-free rate.

HT, XTZ, THETA, DCR, USDC - Cryptocurrency Positive Returns

Figure 2b. Mean daily returns, historical daily volatility, total returns, and ex-post Sharpe ratio for each of the five cryptocurrencies with the lowest total returns from July 7, 2019 to August 4, 2019 More positive Sharpe ratios are more desirable. The Sharpe ratio is calculated with the 10 year US Treasury bill rate as the annual risk-free rate. Bitcoin

HC, KMD, QTUM, ZEC, OMG - Cryptocurrency Negative Returns

Figure 3 plots daily candlesticks of the prices of Bitcoin (BTC), Ether (ETH) and XRP (XRP), the three largest cryptocurrencies by market capitalization. In addition, the following commonly used technical analysis indicators are shown:

  • Simple moving averages (SMA) with periods of 50, 100, and 200 days
  • Relative strength index (RSI) with a period of 14 days
  • Moving average convergence divergence (MACD) with a fast EMA period of 12 days, slow EMA period of 26 days, and a signal period of 9 days

The 50-day simple moving averages for BTC and ETH continue to stay above the 100-day moving averages, a continuation of a long-term bullish signal. However, XRP’s moving averages showed a long-term bearish signal, with the 50-day moving average very recently crossing below the 100-day moving average.

The RSI for BTC, ETH, and XRP are between 30 and 70; neither overbought or oversold.

For all top three cryptocurrencies, the MACD line is above the MACD signal line and the histogram shows the gap increasing. This can be interpreted as a bullish signal.

Figure 3a. Price of Bitcoin (BTC) in USD at Bitstamp from July 7, 2019 to August 4, 2019.

Figure 3a. Price of Bitcoin (BTC) in USD at Bitstamp from July 7, 2019 to August 4, 2019.

Figure 3b. Price of Ether (ETH) in USD at Bitstamp from July 7, 2019 to August 4, 2019.

Figure 3b. Price of Ether (ETH) in USD at Bitstamp from July 7, 2019 to August 4, 2019.

Figure 3c. Price of XRP (XRP) at Bitstamp in USD from July 7, 2019 to August 4, 2019.

Figure 3a. Price of Bitcoin (BTC) in USD at Bitstamp from July 7, 2019 to August 4, 2019.

APPENDIX A: Cryptocurrencies

Below is a complete list of all cryptocurrencies examined in this market report. In addition, we present the mean daily returns, historical daily volatility, total returns, and ex-post Sharpe ratio for each cryptocurrency from July 7, 2019 to August 4, 2019. More positive Sharpe ratios are more desirable. The Sharpe ratio is calculated with the 10 year US Treasury bill rate as the annual risk-free rate.

Cryptocurrency List - August 5, 2019
Cryptocurrency List - Bitcoin

APPENDIX B: Methodology

The daily price data of cryptocurrencies in USD at 4:00 PM EST from July 7, 2019 to August 4, 2019 was used for our calculations.

The prices are the volume weighted average price of the cryptocurrency in USD at 4:00 PM EST each day across all exchanges where Coinscious has data. The only exception is Siacoin (SC), where we used the Yahoo Finance price instead due to data quality issues at the time of writing.

Daily closing price data of the S&P 500 index was obtained from Yahoo Finance. The latest 10 year US Treasury bill rate from YCharts was used for calculations involving a risk-free rate.

In subsequent reports, we may update our universe, sectors, methodology, and analysis to reflect new developments.

APPENDIX C: Terminology

  • Volatility: A measure of the dispersion in the trading price of an instrument over a certain period of time, defined as the standard deviation of an instrument’s returns.
  • Sharpe ratio: A risk adjusted measure of return that describes the reward per unit of risk. The reward is the average excess returns of an investment against a benchmark or risk-free rate of return, and the risk is the standard deviation of the excess returns. A higher Sharpe ratio is better. Ex-ante Sharpe ratio is calculated with expected returns whereas ex-post Sharpe ratio is calculated with realized historical returns.

Disclaimer

The information contained herein is for informational purposes only and is not intended as a research report or investment advice. It should not be construed as Coinscious recommending investment in cryptocurrencies or other products or services, or as a solicitation to buy or sell any security or engage in a particular investment strategy. Investment in the crypto market entails substantial risk. Before acting on any information, you should consider whether it is suitable for your particular circumstances and consult all available material, and, if necessary, seek professional advice.

Coinscious and its partners, directors, shareholders and employees may have a position in entities referred to herein or may make purchases and/or sales from time to time, or they may act, or may have acted in the past, as an advisor to certain companies mentioned herein and may receive, or may have received, a remuneration for their services from those companies.

Neither Coinscious or its partners, directors, shareholders or employees shall be liable for any damage, expense or other loss that you may incur out of reliance on any information contained in this report. Bitcoin

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June 2019 Cryptocurrency Market Report

June 2019 Cryptocurrency Market Report

By | Advanced Market Report, Coinscious Lab, Data Analytics | No Comments

Overview

June was an exciting month for cryptocurrencies. The price of Bitcoin, the first and largest cryptocurrency by market capitalization, crossed the $9000, $10000, and $11000 mark all in one month. Bitcoin last traded around the $11000 price level in March 2018 during the bear market that followed after peaking in December 2017. This year’s long bear market, dubbed by many as the “crypto winter” appears to be definitively over following cryptocurrency’s steady resurgence and the crossing of these major psychological thresholds by Bitcoin. 

Bitcoin rose 44.41% in June 2019, and most other cryptocurrencies that we analyzed had positive returns as well.

Cryptocurrency Market Developments in June 2019

Various developments related to new cryptocurrencies and blockchain projects may be responsible for the bullishness surrounding cryptocurrencies this month. In particular, these projects are led by high-profile organizations, raising the interest and demand for cryptocurrencies in general, as well as legitimizing the cryptocurrency space to previously unconvinced market participants.

Global risks and uncertainties may also be making cryptocurrencies more popular as a safe haven.

Cryptocurrency Market Developments in June 2019

Performance

Exhibit 1: Monthly returns of cryptocurrencies over the past year.

Cryptocurrency Market - Monthly Returns Over Past Year

Best and Worst Performers

Performance of cryptocurrencies across two different time frames – June 2018 to June 2019, and only June 2019 – are presented below. Cryptocurrencies that had the highest total returns, lowest total returns, and highest Sharpe ratio are highlighted. In addition, other metrics such as rate of return, alpha, and beta (relative to the Bitwise 100) are shown all as daily, non-annualized values.

Exhibit 2: Cryptocurrencies with the highest total returns in June 2019.

Cryptocurrencies with the highest total returns in June 2019.
  • ChainLink (LINK) had the highest total return in June 2019.
  • LINK is a decentralized data oracle designed to provide reliable real-world data inputs for smart contracts.
  • Recent positive developments for the cryptocurrency in June include an article by Google Cloud titled ““Building hybrid blockchain/cloud applications with Ethereum and Google Cloud” that mentioned LINK, and a new listing on cryptocurrency exchange, CoinbasePro.

Exhibit 3: Cryptocurrencies with the lowest total returns in June 2019.

Cryptocurrencies with the lowest total returns in June 2019
  • Tezos (XTZ) had the lowest total return in June 2019.
  • XTZ is a self-amending proof-of-work dApp platform with built-in mechanisms designed to remove the need to hard fork when implementing protocol amendments.

Exhibit 4: Cryptocurrencies with the highest total returns from June 2018 to June 2019.

Cryptocurrencies with the highest total returns from June 2018 to June 2019. 
  • In addition to being the cryptocurrency with the highest total return in the past year, LINK also had the highest total return over the past year. LINK beat out the next best cryptocurrency, Binance Coin (BNB) by a huge order of magnitude.
  • Bitcoin (BTC) was the third best performing cryptocurrency.

Exhibit 5: Cryptocurrencies with the lowest total returns from June 2018 to June 2019.

Cryptocurrencies with the lowest total returns from June 2018 to June 2019.
  • Pundi X (NPXS) had the lowest total return in the past year.
  • NPXS is a token used for payments and settlements. It is also integrated with their own physical point-of-sale devices.

Exhibit 6: Cryptocurrencies with the largest Sharpe Ratios in June 2019.

Cryptocurrencies with the largest Sharpe Ratios in June 2019
  • HyperCash (HC) had the best performance relative to its risk in June 2019 as measured by the Sharpe ratio.
  • HC belongs to an emerging class of cryptocurrencies called “sidechains” which facilitate the transfer of digital assets between other blockchains.

Exhibit 7: Cryptocurrencies with the largest Sharpe Ratios from June 2018 to June 2019.

Cryptocurrencies with the largest Sharpe Ratios from June 2018 to June 2019. 
  • ChainLink (LINK) had the best performance relative to its risk in the past year as measured by the Sharpe ratio.

Risk vs. Return

Mean Daily Return vs. Daily Volatility

Exhibits 8 and 9 present the risk versus return trade-off by plotting mean daily return versus historical daily volatility for various cryptocurrencies. Higher returns at a given level of risk, measured through historical daily volatility, indicate a relatively better investment.

Exhibit 8: Plot of mean daily return against historical daily volatility for individual cryptocurrencies in June 2019.

Cryptocurrencies June 2019 - Mean daily return vs historical daily volatility
  • ChainLink (LINK) had both the highest mean return and volatility overall.
  • The cluster of cryptocurrencies with close to 0% mean returns and volatility are stablecoins, including Tether (USDT), Paxos Standard Token (PAX), TrueUSD (TUSD), and USD Coin (USDC).

Exhibit 9: Plot of mean daily return against historical daily volatility for individual cryptocurrencies from June 2018 to June 2019.

Cryptocurrencies June 2018 to June 2019 - Mean daily return vs historical daily volatility
  • ChainLink (LINK) was identified earlier as having the best Sharpe ratio – here it can be visualized through LINK’s higher mean daily returns compared to other cryptocurrencies with a similar daily volatility.

Value Comparison using CAPM

Previously, we presented a comparison of risk versus return measured by the mean daily volatility and mean daily return, respectively. To build upon the idea of compensating investors sufficiently for a given level of risk, we apply the Capital Asset Pricing Model (CAPM) to determine what is the threshold required return for a cryptocurrency to be worth its risk.

We quantified the systematic risk of individual cryptocurrencies by calculating its beta over the past year. Higher positive betas indicate that the cryptocurrency is more volatile than the market, whereas negative betas indicate that the cryptocurrency moves against the market. The Bitwise 100 cryptocurrency index, a market capitalization weighted index of the top 100 cryptocurrencies, was used as a proxy for the market portfolio in beta calculations.

In Exhibit 10, we plotted individual cryptocurrencies’ beta versus expected return, which was calculated as the daily rate of return using data from June 2018 to June 2019, and assume that historic returns are a sufficiently good measure of future returns. In addition, using the risk-free rate and the expected returns of the Bitwise 100, we constructed a Security Market Line that represents the fair expected return that an investor should be compensated for a cryptocurrency with a given beta.

Using this model, cryptocurrencies above the Security Market Line are theoretically undervalued, and cryptocurrencies below the Security Market Line are overvalued.

Exhibit 10: Plot of the expected return against beta for individual cryptocurrencies and the Security Market Line, calculated with daily returns from June 2018 to June 2019.

Plot of the expected return against beta for individual cryptocurrencies and the Security Market Line, calculated with daily returns from June 2018 to June 2019.
  • Chainlink (LINK) is theoretically the most underpriced and would provide the best value, with its high expected return relative to its systematic risk.
  • Some other cryptocurrencies identified as being underpriced are Bitcoin SV (BSV), Binance Coin (BNB), Bitcoin (BTC), HyperCash (HC), Litecoin (LTC), Dogecoin (DOGE), and Basic Attention Token (BAT).

Correlations

Exhibits 11 to 16 show the overall and rolling 30-day correlation from the past year of the top three cryptocurrencies by market capitalization, the S&P 500 and VIX indices, the Chinese Yuan (CNY) and gold prices.

Correlation measures the linear relationship between two series and can range between -1 and 1. More positive correlations indicate a stronger positive linear relationship while more negative correlations indicate a stronger negative linear relationship. A correlation of 0 or close to 0 indicates little to no linear relationship. 

Exhibit 11: Correlation between BTC, XRP, ETH, VIX, S&P 500, CNY, and gold daily returns from June 2018 to June 2019.

Correlation between BTC, XRP, ETH, VIX, S&P 500, CNY, and gold daily returns from June 2018 to June 2019.
  • The top three cryptocurrencies by market capitalization, Bitcoin (BTC), Ether (ETH), and XRP (XRP), are highly positively correlated with each other.
  • Cryptocurrencies and the S&P 500 are slightly positively correlated.
  • Cryptocurrencies and VIX are slightly negatively correlated.
  • Gold and Bitcoin (BTC), as well as Gold and Ether (ETH) are slightly negatively correlated.
  • CNY has a stronger correlation with XRP (XRP) than with other cryptocurrencies, although it is still a relatively small number.

Exhibit 12: Rolling 30-day correlation between BTC, XRP, ETH daily returns.

Rolling 30-day correlation between BTC, XRP, ETH daily returns.
  • Correlations between the three pairs of cryptocurrencies examined rarely dipped below 0.5.
  • In general, Bitcoin (BTC) and Ether (ETH) were usually more positively correlated than other pairs.

Exhibit 13: Rolling 30-day correlation between BTC, XRP, ETH daily returns and S&P500 daily returns.

Rolling 30-day correlation between BTC, XRP, ETH daily returns and VIX daily returns.

Exhibit 14: Rolling 30-day correlation between BTC, XRP, ETH daily returns and VIX daily returns.

Rolling 30-day correlation between BTC, XRP, ETH daily returns and VIX daily returns.

Exhibit 15: Rolling 30-day correlation between BTC, XRP, ETH daily returns and CNY daily returns.

Rolling 30-day correlation between BTC, XRP, ETH daily returns and CNY daily returns.

Exhibit 16: Rolling 30-day correlation between BTC, XRP, ETH daily returns and gold daily returns.

Rolling 30-day correlation between BTC, XRP, ETH daily returns and gold daily returns.

APPENDIX A: Cryptocurrency Symbols & Names

Below is a complete list of all cryptocurrencies examined in this report as well as their symbol to full name mapping.

Cryptocurrency Symbols and Names

APPENDIX B: Cryptocurrency Distribution Statistics

Below is a complete list of all cryptocurrencies examined in this market report. In addition, we present the mean, standard deviation (volatility), skewness, and kurtosis for each cryptocurrency’s daily returns from June 1, 2019 to June 30, 2019, and from June 30, 2018 to June 30, 2019. 

For cryptocurrencies where data did not reach all the way back to June 30, 2019, statistics were calculated only using as much historical data as was available.

Cryptocurrency Distribution Statistics
Cryptocurrency Distribution Statistics

APPENDIX C: Cryptocurrency Performance Metrics

Below is a complete list of all cryptocurrencies examined in this market report. In addition, we present the mean daily returns, historical daily volatility, total returns, and ex-post Sharpe ratio for each cryptocurrency from June 1, 2019 to June 30, 2019, as well as from June 30, 2018 to June 30, 2019.  Rate of return and Alpha are shown as daily, non-annualized values. Beta is calculated using the Bitwise 100 to represent the market portfolio.

Empty values in the Jun-2018 to Jun-2019 Total Return column indicate that data on the cryptocurrency from June 2018 was not available, hence that metric could not be calculated. Furthermore, for those cryptocurrencies, the remaining metrics were calculated only using as much historical data as was available.

Cryptocurrency Performance Metrics
Cryptocurrency Distribution Statistics

APPENDIX D: Data Sources

Our universe of analysis includes 50 of some of the most widely used and traded cryptocurrencies. Cryptocurrencies were selected on the basis of being in the top 50 cryptocurrencies by market capitalization according to CoinMarketCap data where Coinscious also had USD pricing data.

The daily price data of cryptocurrencies in USD at 4:00 PM EST from June 30, 2018 to June 30, 2019 was used for our calculations.

The prices are the volume weighted average price of the cryptocurrency in USD at 4:00 PM EST each day across all exchanges where Coinscious has data. The only exception is Siacoin (SC), where we used the Yahoo Finance price instead due to data quality issues at the time of writing.

Daily closing price data of the S&P500 index and VIX volatility index was obtained from Yahoo Finance. Bitwise 100 index data was provided by Bitwise Asset Management. The 10-year US Treasury bill rate on June 30, 2018 from YCharts was used for calculations involving a risk-free rate. Chinese Yuan to US Dollar rates were obtained from FRED. Gold prices are the morning gold fixing prices in London at 10:30 am, also obtained from FRED.

Disclaimer

The information contained herein is for informational purposes only and is not intended as a research report or investment advice. It should not be construed as Coinscious recommending investment in cryptocurrencies or other products or services, or as a solicitation to buy or sell any security or engage in a particular investment strategy. Investment in the crypto market entails substantial risk. Before acting on any information, you should consider whether it is suitable for your particular circumstances and consult all available material, and, if necessary, seek professional advice.

Coinscious and its partners, directors, shareholders and employees may have a position in entities referred to herein or may make purchases and/or sales from time to time, or they may act, or may have acted in the past, as an advisor to certain companies mentioned herein and may receive, or may have received, a remuneration for their services from those companies.

Neither Coinscious or its partners, directors, shareholders or employees shall be liable for any damage, expense or other loss that you may incur out of reliance on any information contained in this report. Chainlink

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Crypto Market Report - June 24, 2019

Bitcoin Surpasses $11K While HyperCash Soars With 211% Returns

By | Coinscious Lab, Data Analytics, Market Report | No Comments
Crypto Market Report - HyperCash Tezos

Overview

Released bi-weekly, this report aims to identify broad trends in the cryptocurrency market. In order to reflect the latest developments in this fast-paced and volatile market, the reports plan to focus on metrics derived from a 30-day rolling window of data, this time from May 25, 2019 to June 23, 2019.

Our universe of analysis includes 50 of some of the most widely used and traded cryptocurrencies. Please see Appendix A for the complete list.

Analysis

The performance of major cryptocurrencies over the past month was good, with 39 out of the 50 cryptocurrencies that we examined up from their values 30 days ago. Bitcoin (BTC), the largest cryptocurrency by market capitalization, is currently trading around $11000 at the time of writing, having just surpassed $10000 late last week.

Outside of cryptocurrencies, the S&P 500 is up 4.40% from 30 days ago and closed last Friday at $2950.46.

Figure 1 presents the risk versus return trade-off over the past 30 days by plotting mean daily return versus historical daily volatility for various cryptocurrencies.

Figure 1. Plot of mean daily return against historical daily volatility for individual cryptocurrencies from May 25, 2019 to June 23, 2019. Higher returns at a given level of risk, measured through historical daily volatility, indicates a better investment.

Cryptocurrency Risk Return HyperCash Bitcoin

The best performer overall over the past month was HyperCash (HC), with a total return of 211.43%. With its high daily returns and low volatility, HyperCash also has the highest Sharpe ratio of all cryptocurrencies analyzed. HyperCash belongs to an emerging class of cryptocurrencies called sidechains, which facilitate the transfer of digital assets between other blockchains.

The second and third best performing cryptocurrencies were Monacoin (MONA) and Bitcoin SV (BSV), with total returns of 158.17% and 153.07% respectively.

Tezos (XTZ) was the worst performing cryptocurrency, with total losses of 20.44%. Tezos is a self-amending proof-of-work dApp platform with built in mechanisms designed to remove the need to hard fork when implementing protocol amendments.

The second and third worst performing cryptocurrencies were Waves (WAVES) and Nano (NANO) with total losses of 10.13%  and 8.58% respectively.

Figure 2a. Mean daily returns, historical daily volatility, total returns, and ex-post Sharpe ratio for each of the five cryptocurrencies with the highest total returns from May 25, 2019 to June 23, 2019. More positive Sharpe ratios are more desirable. The Sharpe ratio is calculated with the 10 year US Treasury bill rate as the annual risk-free rate.

Crypto Report - HyperCasH HC, MONA, BSV, GXC, BTM

Figure 2b. Mean daily returns, historical daily volatility, total returns, and ex-post Sharpe ratio for each of the five cryptocurrencies with the lowest total returns from May 25, 2019 to June 23, 2019 More positive Sharpe ratios are more desirable. The Sharpe ratio is calculated with the 10 year US Treasury bill rate as the annual risk-free rate

Crypto Report - XTZ, WAVES, NANO, ICX, REP

Figure 3 plots daily candlesticks of the prices of Bitcoin (BTC), Ether (ETH) and XRP (XRP), the three largest cryptocurrencies by market capitalization. In addition, the following commonly used technical analysis indicators are shown:

  • Simple moving averages (SMA) with periods of 50, 100, and 200 days
  • Relative strength index (RSI) with a period of 14 days
  • Moving average convergence divergence (MACD) with a fast EMA period of 12 days, slow EMA period of 26 days, and a signal period of 9 days

The 50-day simple moving averages for Bitcoin, Ether, and XRP continue to stay above the 100-day moving averages, a continuation of a long-term bullish signal.

The RSI values of Bitcoin crossed and is currently above the 70 overbought threshold. Ether’s RSI also briefly crossed above the 70 overbought threshold before dipping below again. XRP’s RSI stayed between 30 and 70, neither overbought or oversold, for the entire past 30 days.

For all top three cryptocurrencies, the MACD line crossed above MACD signal line between one to two weeks ago. This is known as a bullish crossover and can also be interpreted as a bullish signal.

Figure 3a. Price of Bitcoin (BTC) in USD at Bitstamp from May 25, 2019 to June 23, 2019.

Price of Bitcoin (BTC) in USD at Bitstamp from May 25, 2019 to June 23, 2019.

Figure 3b. Price of Ether (ETH) in USD at Bitstamp from May 25, 2019 to June 23, 2019.

Figure 3b. Price of Ether (ETH) in USD at Bitstamp from May 25, 2019 to June 23, 2019.

Figure 3c. Price of XRP (XRP) at Bitstamp in USD from May 25, 2019 to June 23, 2019.

Figure 3c. Price of XRP (XRP) at Bitstamp in USD from May 25, 2019 to June 23, 2019.

APPENDIX A: Cryptocurrencies

Below is a complete list of all cryptocurrencies examined in this market report. In addition, we present the mean daily returns, historical daily volatility, total returns, and ex-post Sharpe ratio for each cryptocurrency from May 25, 2019 to June 23, 2019. More positive Sharpe ratios are more desirable. The Sharpe ratio is calculated with the 10 year US Treasury bill rate as the annual risk-free rate.

Cryptocurrencies
Cryptocurrencies
Cryptocurrencies

APPENDIX B: Methodology

The daily price data of cryptocurrencies in USD at 4:00 PM EST from May 25, 2019 to June 23, 2019 was used for our calculations.

The prices are the volume weighted average price of the cryptocurrency in USD at 4:00 PM EST each day across all exchanges where Coinscious has data. The only exception is Siacoin (SC), where we used the Yahoo Finance price instead due to data quality issues at the time of writing.

Daily closing price data of the S&P 500 index was obtained from Yahoo Finance. The latest 10 year US Treasury bill rate from YCharts was used for calculations involving a risk-free rate.

In subsequent reports, we may update our universe, sectors, methodology, and analysis to reflect new developments.

APPENDIX C: Terminology

  • Volatility: A measure of the dispersion in the trading price of an instrument over a certain period of time, defined as the standard deviation of an instrument’s returns.
  • Sharpe ratio: A risk adjusted measure of return that describes the reward per unit of risk. The reward is the average excess returns of an investment against a benchmark or risk-free rate of return, and the risk is the standard deviation of the excess returns. A higher Sharpe ratio is better. Ex-ante Sharpe ratio is calculated with expected returns whereas ex-post Sharpe ratio is calculated with realized historical returns.

Disclaimer

The information contained herein is for informational purposes only and is not intended as a research report or investment advice. It should not be construed as Coinscious recommending investment in cryptocurrencies or other products or services, or as a solicitation to buy or sell any security or engage in a particular investment strategy. Investment in the crypto market entails substantial risk. Before acting on any information, you should consider whether it is suitable for your particular circumstances and consult all available material, and, if necessary, seek professional advice.

Coinscious and its partners, directors, shareholders and employees may have a position in entities referred to herein or may make purchases and/or sales from time to time, or they may act, or may have acted in the past, as an advisor to certain companies mentioned herein and may receive, or may have received, a remuneration for their services from those companies.

Neither Coinscious or its partners, directors, shareholders or employees shall be liable for any damage, expense or other loss that you may incur out of reliance on any information contained in this report. Bitcoin price.

BTC Surges In Last 2 Weeks To $5,105; Now Holding At $5,000

By | Coinscious Lab, Data Analytics, Market Report | No Comments
Biggest
30d % Gain

Tezos (XTZ) 
+110.60%

Biggest
30d % Loss

Nano (NANO) 
-53.49%

Overview

Released bi-weekly, this report aims to identify broad trends in the cryptocurrency market. In order to reflect the latest developments in this fast-paced and volatile market, the reports plan to focus on metrics derived from a 30-day rolling window of data, this time from March 16, 2019 to April 14, 2019.

Our universe of analysis includes 50 of some of the most widely used and traded cryptocurrencies. Please see Appendix A for the complete list.

Analysis

The performance of major cryptocurrencies over the past month has been good, with 41 out of the 50 cryptocurrencies that we examined up from their values 30 days ago. Bitcoin (BTC), the largest cryptocurrency by market capitalization, finally breaks above the $4,200 overhead resistance level on April 1; BTC surges to $5105. Various other cryptocurrencies, including second and third largest cryptocurrencies ether (ETH) and XRP (XRP) also experienced large upwards movements on the same day.

Outside of cryptocurrencies, the S&P 500 is up 3.01% from 30 days ago and closed last Friday at $2907.41.

Figure 1 presents the risk versus return trade-off over the past 30 days by plotting mean daily return versus historical daily volatility for various cryptocurrencies

Figure 1. Plot of mean daily return against historical daily volatility for individual cryptocurrencies from March 16, 2019 to April 14, 2019 Higher returns at a given level of risk, measured through historical daily volatility, indicates a better investment.

The best performer overall over the past month was Tezos (XTZ), with a total return of 110.60%. Tezos is a self-amending proof-of-work dApp platform that removes the need to hard fork when implementing protocol amendments.

The second and third best performing cryptocurrencies were Bitcoin Cash (BCH) and IOST (IOST), with total returns of 80.40% and 71.34% respectively.

Nano (NANO) was the worst performing cryptocurrency, with total losses of 53.49%. Nano is a low-latency payment platform designed for peer-to-peer transactions. The second and third worst performing cryptocurrencies were Maker (MKR) and Steem (STEEM) with total losses of 11.49% and 11.42% respectively.

Figure 2a. Mean daily returns, historical daily volatility, total returns, and ex-post Sharpe ratio for each cryptocurrencies with the highest total returns from March 16, 2019 to April 18, 2019. More positive Sharpe ratios are more desirable. The Sharpe ratio is calculated with the 10 year US Treasury bill rate as the annual risk-free rate.

Figure 2b. Mean daily returns, historical daily volatility, total returns, and ex-post Sharpe ratio for cryptocurrencies with the lowest total returns from March 16, 2019 to April 18, 2019. More positive Sharpe ratios are more desirable. The Sharpe ratio is calculated with the 10 year US Treasury bill rate as the annual risk-free rate

Figure 3 plots daily candlesticks of the prices of Bitcoin ( BTC ) and Ether (ETH), the two largest cryptocurrencies by market capitalization, as well as the top performer of the past month, Tezos (XTZ). In addition, the following commonly used technical analysis indicators are shown:

  • Simple moving averages (SMA) with periods of 50, 100, and 200 days
  • Relative strength index (RSI) with a period of 14 days
  • Moving average convergence divergence (MACD) with a fast EMA period of 12 days, slow EMA period of 26 days, and a signal period of 9 days

Figure 3a. Price of Bitcoin (BTC) in USD at Bitstamp from March 16, 2019 to April 14, 2019.

Figure 3b. Price of Ether (ETH) in USD at Bitstamp from March 16, 2019 to April 14, 2019.

Figure 3c. Price of Tezos (XTZ) in USD at Bitfinex from March 16, 2019 to April 14, 2019.

APPENDIX A: Cryptocurrencies

Below is a complete list of all cryptocurrencies examined in this market report. In addition, we present the mean daily returns, historical daily volatility, total returns, and ex-post Sharpe ratio for each cryptocurrency from March 16, 2019 to April 18, 2019. More positive Sharpe ratios are more desirable. The Sharpe ratio is calculated with the 10 year US Treasury bill rate as the annual risk-free rate.

APPENDIX B: Methodology

The daily price data of cryptocurrencies in USD at 4:00 PM EST from March 16, 2019 to April 14, 2019 was used for our calculations.

The prices are the volume weighted average price of the cryptocurrency in USD at 4:00 PM EST each day across all exchanges where Coinscious has data. The only exception is Siacoin (SC), where we used the Yahoo Finance price instead due to data quality issues at the time of writing.

Daily closing price data of the S&P 500 index was obtained from from Yahoo Finance. The latest 10 year US Treasury bill rate from YCharts was used for calculations involving a risk-free rate.

In subsequent reports, we may update our universe, sectors, methodology, and analysis to reflect new developments.

APPENDIX C: Terminology

  • Volatility: A measure of the dispersion in the trading price of an instrument over a certain period of time, defined as the standard deviation of an instrument’s returns.
  • Drawdown: A measure of the decline of the trading price of an instrument or investment since the previous peak during a certain period of time. Less negative, less frequent, and shorter drawdowns are more desirable.
  • Maximum drawdown: The maximum peak to trough decline of the trading price of an instrument or investment over a certain period of time. Less negative maximum drawdowns are more desirable.
  • Sharpe ratio: A risk adjusted measure of return that describes the reward per unit of risk. The reward is the average excess returns of an investment against a benchmark or risk-free rate of return, and the risk is the standard deviation of the excess returns. A higher Sharpe ratio is better. Ex-ante Sharpe ratio is calculated with expected returns whereas ex-post Sharpe ratio is calculated with realized historical returns.
  • Correlation: A measure of the linear relationship between two series of random variables, which in the context of finance, can be two series of returns. Correlation ranges between -1 and 1. Correlation close to 1 indicates a more positive relationship between the pair of cryptocurrency returns and correlation close to -1 indicates a more negative linear relationship. Correlation close to 0 indicates no linear relationship.

Disclaimer

The information contained herein is for informational purposes only and is not intended as a research report or investment advice. It should not be construed as Coinscious recommending investment in cryptocurrencies or other products or services, or as a solicitation to buy or sell any security or engage in a particular investment strategy. Investment in the crypto market entails substantial risk. Before acting on any information, you should consider whether it is suitable for your particular circumstances and consult all available material, and, if necessary, seek professional advice.

Coinscious and its partners, directors, shareholders and employees may have a position in entities referred to herein or may make purchases and/or sales from time to time, or they may act, or may have acted in the past, as an advisor to certain companies mentioned herein and may receive, or may have received, a remuneration for their services from those companies.

Neither Coinscious or its partners, directors, shareholders or employees shall be liable for any damage, expense or other loss that you may incur out of reliance on any information contained in this report.

XTZ Performs Best (+73.77%); ADA Offers More Than Its Peers

By | Coinscious Lab, Data Analytics, Market Report | No Comments
Biggest
30d % Gain

Tezos (XTZ) 
+73.77%

Biggest 30d %
Gain (Sector)

Digital Content
+23.22%

Biggest
30d % Loss

Pundi X (NPXS) 
-16.06%

Smallest 30d %
Loss (Sector)

Stablecoins
-0.00%

Overview

Released bi-weekly, this report aims to identify broad trends in the cryptocurrency market. In order to reflect the latest developments in this fast-paced and volatile market, the reports plan to focus on metrics derived from a 30-day rolling window of data, this time from February 28, 2019 to March 28, 2019.

Our universe of analysis includes 50 of some of the most widely used and traded cryptocurrencies, and groups them into sectors that reflect similar utility and valuation models. Through analysis of the recent historical performance of individual cryptocurrencies as well as their sectors, we provide a framework for analysis where investors can identify outperforming cryptocurrencies or sectors by comparing their performance relative to peers.

Sector
Constituent Coins/Tokens
Digital Cash BTC, BCH, BSV, LTC, BTG, DOGE, DCR, BCD, DGB
Privacycoins XMR, DASH, ZEC, XVG, BCN
DApp Platforms ETH, EOS, ADA, NEO, ETC, XEM, XTZ, QTUM, LSK, AE, ZIL, ICX, BTM, ETP
Resources SC, GNT
Payments and Settlements XRP, XLM, OMG, NPXS, MKR, PPT
Decentralized Exchanges BTS, ZRX, WAVES
Digital Content TRX, ONT, BAT, STEEM
Data and Information IOTA, VET, LINK, REP
Stablecoin USDT, TUSD, DAI

Analysis

The performance of major cryptocurrencies over the past month has been good, with 45 out of the 50  cryptocurrencies that we examined up from their values 30 days ago. Bitcoin (BTC), the largest cryptocurrency by market cap, is trading around $4100, still in the sideways trend that began in November last year. However, it is also up 5.00% compared to 30 days ago.

Outside of cryptocurrencies, the S&P 500 has been relatively flat, only up 1.11% from 30 days ago and closing yesterday at $2815.44.

Figure 1 presents the risk versus return trade-off over the past 30 days by plotting mean daily return versus historical daily volatility for various cryptocurrencies.   

Figure 1. Plot of mean daily return against historical daily volatility for individual cryptocurrencies from February 28, 2019 to March 28, 2019. Higher returns at a given level of risk, measured through historical daily volatility, indicates a better investment.

The best performer overall over the past month was Tezos (XTZ), with a total return of 73.77%. Tezos is a self-amending proof-of-work dApp platform that removes the need to hard fork when implementing protocol amendments.

Stakeholders vote for their preferred proposed protocol amendments through a formal and systematic process that has four discrete periods: the Proposal Period, the Exploration or “Testing” Vote Period, the Testing Period, and the Promotion Vote Period. The Tezos community successfully concluded the first round of voting, the Proposal Period, on March 20 and are currently in the Exploration period, casting votes to decide whether the winning proposal will move on to be deployed to the test network.

This news is significant because it is the first time that the self-amending upgrade process has been put into action. According to ​Tezos​, removing the need to hard fork in order to make protocol amendments is an important because “the suggestion or expectation of a fork can divide the community, alter stakeholder incentives, and disrupt the network effects that are formed over time. Because of self-amendment, coordination and execution costs for protocol upgrades are reduced and future innovations can be seamlessly implemented.” ​Tezos’ price went up in the days leading up to the end of the first voting period, so it is possible that growing enthusiasm and positive news about the protocol upgrade was the underlying cause. The success of the first vote also likely caused the subsequent 31% jump on March 20.

The second and third best performing cryptocurrencies were Cardano (ADA) and Basic Attention Token (BAT) with total returns of 55.14% and 39.56% respectively. Cardano is noteworthy in that it offered higher returns than its peers with similar levels of risk, including several other dApp platforms. 

Pundi X (NPXS) was the worst performing cryptocurrency, with total losses of 16.06%.

Figure 2a. Cryptocurrencies with the highest total returns from February 28, 2019 to March 28, 2019.

Figure 2b. Cryptocurrencies with the lowest total returns from February 28, 2019 to March 28, 2019.

Figure 3 shows various performance measures of the nine sectors as well as that of the S&P 500 for comparison and Figure 4 plots the performance over time of each sector. Performance between the sectors was all positive, except for stablecoins with a very small negative return. Total returns ranged from 0.00% (stablecoins) to 23.22% (digital content).

Figure 3. Mean daily returns, historical daily volatility, total returns, maximum drawdown, and ex-post Sharpe ratio for each sector from February 28, 2019 to March 28, 2019. Smaller maximum drawdowns and more positive Sharpe ratios are more desirable. The Sharpe ratio is calculated with the 10 year US Treasury bill rate as the annual risk-free rate.

Figure 4a. Price performance over time of sectors that had positive total returns between February 28, 2019 to March 28, 2019.

Figure 4b. Price performance over time of sectors that had negative total return between February 28, 2019 to March 28, 2019.

Figure 5 shows the correlation between the daily returns of each sector. The S&P 500 had little correlation with most cryptocurrency sectors except for stablecoins, which it had a 0.31 correlation with. Resources, consisting of Siacoin (SC) and Golem (GNT), was the least correlated with the others. Correlations between sectors were more varied and less highly positively correlated than observed in previous months.

Figure 5. Correlation between daily returns of each sector from February 28, 2019 to March 28, 2019. Correlation ranges between -1 and 1. Correlation close to 1 indicates a more positive relationship between the pair of cryptocurrency returns and correlation close to -1 indicates a more negative linear relationship. Correlation close to 0 indicates no linear relationship.

APPENDIX A: Methodology

The daily price data of cryptocurrencies in USD at 4:00 PM EST from February 28, 2019 to March 28, 2019 was used for our calculations.

The prices are the volume weighted average price of the cryptocurrency in USD at 4:00 PM EST each day across all exchanges where Coinscious has data.

To analyze performance by sector, the prices of constituent cryptocurrencies was normalized by dividing by the price on February 28, 2019, then averaged. When calculating the daily returns using this averaged normalized price, it is equivalent to if each sector was represented as an equally weighted portfolio of its constituent cryptocurrencies formed starting February 28, 2019 and the daily returns of the portfolio were calculated. Returns used throughout this report refer to simple returns.

Daily closing price data of the S&P 500 index from Yahoo Finance was also used as a proxy to represent the US equity market. The latest 10 year US Treasury bill rate from YCharts was used for calculations involving a risk-free rate.

In subsequent reports, we may update our universe, sectors, methodology, and analysis to reflect new developments.

APPENDIX B: Terminology

  • Volatility: A measure of the dispersion in the trading price of an instrument over a certain period of time, defined as the standard deviation of an instrument’s returns.
  • Drawdown: A measure of the decline of the trading price of an instrument or investment since the previous peak during a certain period of time. Less negative, less frequent, and shorter drawdowns are more desirable.
  • Maximum drawdown: The maximum peak to trough decline of the trading price of an instrument or investment over a certain period of time. Less negative maximum drawdowns are more desirable.
  • Sharpe ratio: A risk adjusted measure of return that describes the reward per unit of risk. The reward is the average excess returns of an investment against a benchmark or risk-free rate of return, and the risk is the standard deviation of the excess returns. A higher Sharpe ratio is better. Ex-ante Sharpe ratio is calculated with expected returns whereas ex-post Sharpe ratio is calculated with realized historical returns.
  • Correlation: A measure of the linear relationship between two series of random variables, which in the context of finance, can be two series of returns. Correlation ranges between -1 and 1. Correlation close to 1 indicates a more positive relationship between the pair of cryptocurrency returns and correlation close to -1 indicates a more negative linear relationship. Correlation close to 0 indicates no linear relationship.

Disclaimer

The information contained herein is for informational purposes only and is not intended as a research report or investment advice. It should not be construed as Coinscious recommending investment in cryptocurrencies or other products or services, or as a solicitation to buy or sell any security or engage in a particular investment strategy. Investment in the crypto market entails substantial risk. Before acting on any information, you should consider whether it is suitable for your particular circumstances and consult all available material, and, if necessary, seek professional advice.

Coinscious and its partners, directors, shareholders and employees may have a position in entities referred to herein or may make purchases and/or sales from time to time, or they may act, or may have acted in the past, as an advisor to certain companies mentioned herein and may receive, or may have received, a remuneration for their services from those companies.

Neither Coinscious or its partners, directors, shareholders or employees shall be liable for any damage, expense or other loss that you may incur out of reliance on any information contained in this report.