Quantopian Lecture Series Introduction To Python

Summary

A quantitative workflow is all about testing hypotheses on data. Before you can test hypotheses or do anything with your data, ... A professional quantitative researcher will do most of their work in a research environment. This video introduces NumPy is an incredibly popular scientific computing library in This is just a super simple primer on plotting data in Kalman Filters are used in signal processing to estimate the underlying state of a process. They are incredibly useful for finance, ... The process of implementing a trading algorithm removes a large human element from trading, but still requires some intelligent ... Leverage is a tool that we often use in finance and is important to take into account when constructing any trading model. Modeling returns on fundamental factors is a tried and true way to establish predictive capacity over the market. We will go over ... Pairs trading is a form of mean reversion that has a distinct advantage of always being hedged against market movements. Building portfolios of alpha factors allows us to more carefully monitor and analyze the source and consistency of our returns. Arbitrage pricing theory uses linear factor models to make statements about expected returns of assets. All Investopedia Articles on Moving Averages: investopedia.com/articles/technical/052201.asp ... Any estimate comes with a degree of uncertainty, but often that uncertainty is ignored. This is incredibly dangerous in finance, as a ...