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Introduction Solana has emerged as one of the most prominent challengers to Ethereum’s dominance in the cryptocurrency landscape since its 2020 launch, garnering significant attention for its high throughput, low transaction costs, and expanding ecosystem of decentralized applications. With its theoretical capacity to process over 50,000 transactions per second while maintaining sub-cent fees, Solana has […]

As part of the application to Blockworks, a leading financial media brand focused on digital assets, we were tasked with selecting four questions from a list of six that we find most compelling. This exercise not only allowed us to reflect on my deep-rooted curiosity about crypto protocols but also highlighted our ability to analyze

When evaluating trading strategies in cryptocurrency markets, robust statistical methods are essential. SciPy’s implementation of the Wilcoxon Signed-Rank Test provides an ideal tool for this purpose. This article explains why this library is particularly well-suited for cryptocurrency analysis and highlights the key parameters that analysts can modify to tailor the test to their specific needs.

In the fast-paced and volatile world of cryptocurrency trading, reliable statistical methods for evaluating trading strategies are essential. The Wilcoxon Signed-Rank Test offers a powerful non-parametric approach particularly well-suited to cryptocurrency markets, where price distributions often violate the normality assumptions required by traditional statistical tests. This article explores how quantitative analysts and crypto traders can

The Shapiro-Wilk test is a statistical method used to determine whether a dataset follows a normal distribution. Developed by Samuel Sanford Shapiro and Martin Wilk in 1965, this test is widely employed in various fields of research to assess the normality of data, which is a crucial assumption for many statistical analyses Theory Behind the

The Kolmogorov-Smirnov test is a nonparametric statistical test used to determine whether a dataset comes from a known distribution or if two datasets come from the same distribution. It is named after Andrey Kolmogorov and Nikolai Smirnov, who developed the test. This article will explore the basics of the Kolmogorov-Smirnov test, its applications, and provide

Introduction to the Kruskal-Wallis Test The Kruskal-Wallis test is a non-parametric statistical test used to compare three or more independent groups to determine if there are statistically significant differences between them. It is often considered the non-parametric equivalent of the one-way analysis of variance (ANOVA) and is particularly useful when the assumptions of ANOVA, such

Two-way ANOVA in a financial context Let’s demonstrate a two-way ANOVA in a financial context by examining how both sector and market capitalization influence stock returns: # Set seed for reproducibility np.random.seed(456) # Create a dataset with two factors: market sector and company size sectors = [‘Technology’, ‘Healthcare’, ‘Financial’] company_sizes = [‘Small Cap’, ‘Large Cap’]

Introduction Analysis of Variance, commonly known as ANOVA, is a statistical method used to test differences between two or more means. It was developed by statistician Ronald Fisher in the 1920s and has become a fundamental technique in experimental research across various fields including psychology, biology, medicine, and social sciences. ANOVA helps researchers answer a

Extracting specific pages from a PDF can be a useful task for various purposes, such as creating summaries, isolating important information, or reducing file size. In this article, we will guide you through the process of extracting the first page of a PDF using the PyPDF2 library in Google Colab. Step-by-Step Guide After running this