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 June 8, 2019 to July 7, 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.
The performance of major cryptocurrencies over the past month was mixed, with 26 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 above $11000 at the time of writing, having oscillated between $10000 and $12000 last week.
Outside of cryptocurrencies, the S&P 500 is up 3.59% from 30 days ago and closed last Friday at $2990.41.
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 June 8, 2019 to July 7, 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 ChainLink (LINK), with a total return of 202.94%. ChainLink aims to be a reliable decentralized data oracle that provides data inputs for smart contracts. ChainLink also had the second highest Sharpe ratio of the cryptocurrencies analyzed, beat only by Huobi Token (HT).
The second and third best performing cryptocurrencies were HyperCash (HC) and Qtum (QTUM), with total returns of 115.05% and 55.76% respectively.
Zilliqa (ZIL) was the worst performing cryptocurrency, with total losses of 27.54%. Zilliqa is a public blockchain platform. Its specialty is that it is designed to handle high transaction rates that scale linearly with network size.
The second and third worst performing cryptocurrencies were Augur’s Reputation (REP) and Nano (NANO) with total losses of 22.73% and 21.19% 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 June 8, 2019 to July 7, 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 each of the five cryptocurrencies with the lowest total returns from June 8, 2019 to July 7, 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), 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 and Ether crossed briefly above the 70 overbought threshold and dipped 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 below the MACD signal line towards the end of June. This is known as a bearish crossover and could have been interpreted as a bearish signal.
Figure 3a. Price of Bitcoin (BTC) in USD at Bitstamp from June 8, 2019 to July 7, 2019.
Figure 3b. Price of Ether (ETH) in USD at Bitstamp from June 8, 2019 to July 7, 2019.
Figure 3c. Price of XRP (XRP) at Bitstamp in USD from June 8, 2019 to July 7, 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 June 8, 2019 to July 7, 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 June 8, 2019 to July 7, 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.
Appendix D: Resources
- Market Report: an analysis of recent historical performances of the top 50 assets to identify current cryptocurrency market trends. Subscribe now
- Exchange Report: an analysis of recent historical volumes and prices of 18 mainstream exchanges to identify better or fairer cryptocurrency platform. Subscribe now
- Coinscious Terminal: real-time analytics on the top 100 coins/tokens, 18 mainstream crypto exchanges, and top technical trading indicators
- Sign-up Free: Market Data API | Alert API | Report Services
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.
Coinscious Inc. builds artificial intelligence and data-driven insights for the cryptocurrency market. Coinscious delivers compelling, informative analytics to the cryptocurrency community and uncovers hidden insights and patterns from the data behind the scenes. Coinscious is focused on helping the cryptocurrency community make informed judgements through its services.
Coinscious was established in 2018 and in Canada, Europe and China. Coinscious uses sophisticated financial engineering and quantitative technologies, such as statistical modeling, machine learning, market structure, and risk management techniques, in order to facilitate the maturation of the cryptocurrency market through various data and analytic tools.