In this blog post, we provide an accessible introduction to using APIs like Open Ai and SerpAPI to build a smart web search analyzer. We will walk you through the process of setting up your environment, making API calls, and analyzing the results using Python.
In this blog post, we provide an accessible introduction to Regression Discontinuity Design (RDD)—a powerful quasi-experimental method for causal inference when treatment assignment is based on a cutoff. Using simulated data and step-by-step Python code, you’ll learn how to estimate the treatment effect at the cutoff, construct confidence intervals, and visualize local linear regressions.
Learn how to fetch Bitcoin options data from Deribit, understand the Black-Scholes pricing model, and implement delta strategies in Python.
A detailed guide to Kernel Density Estimation, Local Constant and Local Linear Estimators with applications to financial data.