Cryptocurrencies

Trend-following and Mean-reversion in Bitcoin

15.March 2022

Indisputably, trend-following and mean-reversion are two key concepts in quantitative investing or technical analysis. What about the Bitcoin? Are there trend-following or mean-reversion patterns? Or are both effects present and co-exist? In this short research, we examine how Bitcoin’s price is affected by its maximal or minimal price over the previous 10 to 50 days. Our finding shows that when the BTC is at the local maxima, it tends to continue trending upwards. Furthermore, the local minima are also connected with abnormal price action.

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Are There Seasonal Intraday or Overnight Anomalies in Bitcoin?

18.February 2022

At Quantpedia, we love seasonality effects, and our screener includes several strategies that exploit them. These anomalies are fascinating since they usually offer a favorable risk and reward ratio and are commonly invested only during short periods. Frequently, these strategies are valuable additions to portfolios because they are not that sensitive to overall market performance. This short article presents a brief examination of some possible Bitcoin seasonalities.

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Cryptocurrency Stablecoins – A Review of Recent Research

15.February 2022

Since January 2020, the annualized volatility of Bitcoin stands around 70%, 6-times the volatility of commodities like Gold or Oil, more than twice the volatility of the S&P 500, and 10 times the volatility of the EURUSD exchange rate. Stablecoins represent a specific category of cryptocurrencies aiming to keep their value stable against a benchmark asset, usually a fiat currency like the US dollar. So how do stablecoins work, and do they really offer needed stability?

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Periodicity in Cryptocurrencies – Recurrent Patterns in Volatility and Volume

11.January 2022

The high-frequency data in cryptocurrency markets is available at any time of the day, which facilitates the studies of periodicity measures beyond what’s possible in other markets. The research paper by Hansen, Kim, and Kimbrough (2021) investigates the periodicity in volatility and liquidity in two major cryptocurrencies, Bitcoin and Ether, using data from three exchanges, Binance, Coinbase Pro, and Uniswap V2. In particular, the authors measure relative volatility and relative volume across days, hours, and minutes. Their results have confirmed the presence of recurrent patterns in volatility and volume in studied cryptocurrencies for the periods day-of-the-week, hour-of-the-day, and within the hour.

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NFTs: Important Preliminary Risk and Return Analysis

16.December 2021

NFTs are taking the cryptocurrency trading world by storm. NFTs stand for the non-fungible tokens which have emerged as another possible usage of blockchain technology. NFT can be used to record/verify/track the ownership of a unique – hence the non-fungible asset. Commonly, NFTs are connected with art (visual art, music, etc.), but there are also several decentralized finance or gaming-related projects.
Same as for the other blockchain-related projects, the critics are easy to find, so a research paper with hard data concerning the NFTs can be of great importance. The research paper by Mazur (2021) studies the NFT startups traded in the crypto markets. Therefore, the paper does not analyze the individual NFTs (such as some piece of art), but rather the whole projects and their tokens traded on the Binance crypto exchange.

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Estimating Rebalancing Premium in Cryptocurrencies

13.December 2021

Our new article investigates “rebalancing premium” or “diversification return” in cryptocurrencies which can be achieved by periodically rebalancing portfolios. We analyze whether the daily/ monthly rebalanced portfolios outperform a simple buy-and-hold portfolio of cryptocurrencies and under which conditions. Additionally, we also look at the various combinations of volatile cryptocurrency portfolios with low-risk bonds.

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