Sai Prasanna Maharanasaimaharana.hashnode.dev·Nov 20, 2024Understanding Exponential Smoothing: An In-Depth GuideExponential Smoothing is a family of forecasting methods that assign exponentially decreasing weights to past observations. These methods are widely used in time series forecasting due to their simplicity and effectiveness, especially when dealing wi...DiscussTime-Seriestimeseries
Rohan Anandrohan-anand.hashnode.dev·Nov 11, 2023Univariate vs. Multivariate Approach in Time Series ForecastingTime series forecasting plays a pivotal role in various fields, especially in domains like power & energy consumption, stock price , weather forecasting etc. The choice of modeling approach can significantly impact the accuracy of predictions. In thi...Discuss·45 readsPython
JungleSvenjunglesven.hashnode.dev·Aug 22, 2023Calculate price stationarity for dYdX exchange.Stationarity helps us to understand what strategies suit a market statistically. Stationarity shows how often prices revert to mean value. If stationarity is high, we can trade mean-revert strategies. If it is low - trending systems work better. I wi...Discussalgotrading
Favour Olukayodeneo-femo.hashnode.dev·Jul 14, 2023Time-graph Implementation with Golang and Redis TimeSeriesA few days ago, at my workplace, we suddenly needed to present a graph of the user's earnings across multiple date ranges. And we had to do it fast. A previous implementation had been done using our database which worked fine but was quite slow. Then...Discuss·10 likes·61 readsRedis
Benedict Opuni Debrahbenedictdebrah.hashnode.dev·Jul 10, 2023Time Series Analysis SeriesIntroduction to time series analysis Have you ever wondered how experts are able to predict the future or why the past holds such significance? Time series analysis holds the answers. By examining historical data patterns and trends, this powerful t...Discusstimeseries
Aditya Kumar Singhsaditya9211.hashnode.dev·Jul 9, 2023Random Forest Regression: Maths and IntuitionRandom Forest Regression is a powerful machine learning technique that combines the ideas of ensemble learning and decision trees to solve regression problems. It is a versatile algorithm that can handle a wide range of datasets and deliver accurate ...DiscussMachine Learning
Akarsh Vermaakarsh.hashnode.dev·Jul 2, 2023The Essence of Time Series Analysis for Trading: Part #2Welcome to the second part of our blog series on time series analysis for trading. In our previous post, we discussed the importance of time series analysis and its relevance to the trading world. In this installment, we will delve deeper into the me...DiscussAlgo Tradingalgotrading
Rajarshi Samaddarrajarshisamaddar.hashnode.dev·Jun 21, 2023Time Series Mastery: Definition, Components, Techniques, Forecasting & EvaluationIn this article, I delve into the fascinating world of time series analysis, covering its definition, components, techniques, forecasting methods, and evaluation measures. Understanding and mastering time series analysis can unlock valuable insights ...Discusstimeseries
