https://github.com/havocesp/techa

Technical Analysis Indicators Collection
https://github.com/havocesp/techa

algorithmic-trading altcoin altcoins cryptocurrencies cryptocurrency exchange finance indicators technical-analysis trading trading-api trading-bot trading-strategies trading-systems

Last synced: about 2 months ago
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Technical Analysis Indicators Collection

• Host: GitHub
• URL: https://github.com/havocesp/techa
• Owner: havocesp
• License: unlicense
• Created: 2018-05-08T16:27:36.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-08-07T00:57:10.000Z (5 months ago)
• Last Synced: 2024-08-07T03:30:00.189Z (5 months ago)
• Topics: algorithmic-trading, altcoin, altcoins, cryptocurrencies, cryptocurrency, exchange, finance, indicators, technical-analysis, trading, trading-api, trading-bot, trading-strategies, trading-systems
• Language: Python
• Homepage:
• Size: 61.5 KB
• Stars: 18
• Watchers: 4
• Forks: 8
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# TECHA: Technical Analysis Library

A collection of Technical Analysis Functions.

 * __Author__: Daniel J. Umpierrez

 * __Version__: 0.1.1

 * __License__: UNLICENSE

## Description

This project try to merge some Technical Analysis open source projects

like finta, ta-lib, ... into one.

## Requirements

 + Pandas: https://github.com/pandas-dev/pandas

 + FinTA: http://github.com/havocesp/finta

 + TA-Lib: https://github.com/mrjbq7/ta-lib

# Changelog

## Version 0.1.1

 * New TaLib class method structure for easy access to all functions

 * Some function documentation writed (take a look at "doc" directory) 

## Version 0.1.0

 * Minor fixes

 * Some code restructuration

 * New import style at core module

## Version 0.0.9

 * Added method _get_info_ who will dispatch indicator info request

   if available.

 * Added class atribute _lib_ for let users to set **finta** as primary

   libary instead the default one (**ta-lib**).

 * Added a method to obtain _finta_ lib supported indictators as list.

# TODO list

 * [ ] Make the project suitable for a _pip_ install.

 * [x] Start with documentation tasks.

 * [x] Find a way to easyly access to all funtions from a uniq point.

## How to contribute

Any kind of help is welcome, send code by using pull functions, write

documentation, or give ideas...