Tejas EkawadeTime Series Cointegration: Retail and Finance Applications with Python ImplementationThe goal of data-driven analysis is to improve decision making and one way is the use of prescriptive analytics that attempts to answer…Dec 9, 20231
czetsuyaHow to Convert Vertically Stored Asset Data into Columnar Format for Cointegration AnalysisIntroductionFeb 25Feb 25
Dr. Marc JacobsCointegration of Time-Series in RUsing the possible relationship between vaccination rate and excess mortality as a show case.Sep 6, 20221Sep 6, 20221
QuantodianinQuantodian: Tracking BitcoinBitcoin’s time-based power-law and cointegration revisitedMore support for the time-based power law modelJan 31Jan 31
Tejas EkawadeTime Series Cointegration: Retail and Finance Applications with Python ImplementationThe goal of data-driven analysis is to improve decision making and one way is the use of prescriptive analytics that attempts to answer…Dec 9, 20231
czetsuyaHow to Convert Vertically Stored Asset Data into Columnar Format for Cointegration AnalysisIntroductionFeb 25
Dr. Marc JacobsCointegration of Time-Series in RUsing the possible relationship between vaccination rate and excess mortality as a show case.Sep 6, 20221
QuantodianinQuantodian: Tracking BitcoinBitcoin’s time-based power-law and cointegration revisitedMore support for the time-based power law modelJan 31
Prasun BiswasError Correction Model (ECM): An Intuitive GuideTake a moment and think about our behaviors (conduct), one might push oneself to be someone he/she is not for a day or two, but again one…Aug 24, 2020
The Python LabImplementing a Pair Trading strategy using PythonIn the world of finance, pair trading is a popular strategy that involves taking advantage of the price relationship between two correlated…Jun 18, 2023
Michael Hsia【Pair Trading】 Cointegration Test — A Key to Find High Probability Trading StrategyCointegration is a statistical technique to find out whether a time series closely follows the movement of the other time series…Mar 5, 20232