hexital 0.1.1

Hex Incremental Technical Analysis Library

Hexital - Incremental Technical Analysis Library

Early Development❗

Note: Extremely early stages and likely change drastically, including core functionality and methods.

Hexital

Hexital is a Python library implementing financial indicators for technical analysis. The distinctive feature of the library is its incremental computation of indicators which is designed to fit real-time applications or applications with iterative input in general.

For most libraries such as Pandas-TA which is fantastic for generating Indicators for a large set of data, it's incredibly slow when computing real-time/incremental data sets. The entire input vector is always used to calculate new values of indicators, which is a major cause of this speed issue. Despite the fact that these indicator values will remain unchanged and/or you don't want past data points to be changed by new data. Hexital resolves this by using an incremental approach, only calculating new/missing indicator value's, this implies it requires O(1) time to produce new indicator values in comparison to O(n) (or worse) required by other libraries.

Indicators

• ATR
• EMA
• MACDR
• RMA
• RSI
• SMA
• TR

Analysis

Simple useful Candle Anaylsis methods such as those in Pine Scripting

• Positive/Negative Candle
• Rising/Falling Indicator
• Mean Based Rising/Falling Indicator
• Highest/Lowest Indicator (Value)
• HighestBar/LowestBar Indicator (Offset how far back)
• Indicator Cross
• Indicator CrossOver/CrossUnder

Installation

pip install hexital

In case you want to install the latest development version from the repo, use

pip install git+https://github.com/merlinr/hexital.git@development

Upcoming Features

Roughly ordered in priority

• More Indicators
• More Analysis methods
• Pattern Candle recognition methods, detecting Doji, Hammer, etc
• Pattern Indicators, use above methods to run automatically as indicators
• Support for automatic multi timeframe indicator generation
  • E.G: With 1 minute candles, we can generate EMA for minute candles and 5 minute candles
• Indicator Pluggability, to allow easy extension of this library
  • Allowing custom Indictors to be added
• Multiprocessing, of indictors stored within hexial Class.
  • Likely wont see increase in performance

Testing

Testing is a huge part of this library as it's incredibly difficult to ensure the accuracy of the indicator values being generated. In order to solve this this I rely on Pandas-TA as my source of truth for the indicator values. Each indicator added to this library requires a test that uses the Pandas-TA lib indicator output as the expected result.

Inspiration

This library was was inspired by TALIpp which is another Incremental Technical Analysis Library, however I disliked the seperate input lists rather then an entire candle, and futhermore outputs are seperated entities requiring lots of managing.