This is a summary of links featured on Quantocracy on Monday, 03/15/2021. To see our most recent links, visit the Quant Mashup. Read on readers!
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Introduction to Sell-Off Analysis for Crypto-Assets: Triggered by Bitcoin? [Quant at Risk]They say that small fishes buy and sell driven by unstable waters but only big whales make the waves really huge. Recently, this quite popular phrase, makes sense when it comes to cryptocurrency trading influenced by sudden dives of the Bitcoin price. The strategies of buying and selling executed by the whales, often referred to as the institutional buying/selling, may differ in their
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How to Measure the Liquidity of Cryptocurrency? [Alpha Architect]n January 2020, trading in bitcoin exceeded $930 billion and has certainly grown over the past year. Unlike nearly any other asset, bitcoin can be traded 24 hours a day, 7 days a week on trading platforms around the globe. While trading cryptocurrencies has become relatively frequent, the high number of exchanges combined with the lack of regulated data makes determining the liquidity of these
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Hierarchical Clustering in Python [Quant Insti]With the abundance of raw data and the need for analysis, the concept of unsupervised learning became popular over time. The main goal of unsupervised learning is to discover hidden and exciting patterns in unlabeled data. The most common unsupervised learning algorithm is clustering. Applications for cluster analysis ranges from medical to face recognition to stock market analysis. In this blog,