Python repository for Technical Analysis. As a personal hobby quant, technical analysis is essential to building a high performance portfolio.
Thus this repo records the journey taken to becoming a part time quant, with many of the concepts that help me understand the concepts taken from many educational courses on the web.
Since this is an evergrowing structure of notes, it will require a file structure to serve as the baseline for all experimentation that takes place.
-/src # contains all of the concepts
-/data # data utilized in the analysis (USD/BTC)
-/resources # resources utilized from the internet.July 2024:
A very good youtuber quant analysis channel goes by the name of TechnicalAnalysisAutomation and has tons of good content. We are going to start off with the concepts showcased on his videos.
To find patterns in historical data, identifying patterns from the perceptually important points(PIP). This pattern finding algorithm finds the 3 most distant points within a set timeframe. Accross a rolling window, this may be able to unlock new patterns in the stock. [[notes/novel-chart-patterns.md]]