Adaptive trend following #trading strategy based on Renko
▻https://hackernoon.com/adaptive-trend-following-trading-strategy-based-on-renko-9248bf83554?sou
Today I’m going to show how to create an algorithmic trading strategy on #python. This strategy uses my original research from one previous article. This current article consists of these parts:ConceptAlgorithm descriptionTrading strategy developmentBacktesting and analyzing the resultFurther problems discussionConclusionsConceptFinancial time-series have a high level of noise in data. Would be good to have an ability to reduce a noise. In this article it is proposed to use Renko brick size optimization. The key idea of the approach is to quantify the quality of a Renko chart and try to get an optimal brick size for using in a trading. If you are not familiar with the Renko charts will be better follow the link of the article.The optimization of quality over time is called an “adaptivity” (...)