Python中的财务技术分析 [英] Financial technical analysis in python
本文介绍了Python中的财务技术分析的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
您知道python是否有可用的财务技术分析模块吗?需要为一个项目计算各种指标,例如RSI,EMA,DEMA等
Do you know if there is any financial technical analysis module available for python ? Need to calculate various indicators such as RSI, EMA, DEMA etc for a project
推荐答案
以下是一些想法...我只将Numpy,Scipy和Matplotlib用于财务计算.
Here are a few thoughts... I have only used Numpy, Scipy, and Matplotlib for financial calculations.
- py-fi -非常基本的财务功能
- fin2py -金融工具
- Numpy/Scipy -涵盖了所有统计基础
- Matplotlib -绘制财务功能
- RPy -R的Python接口,允许使用R库
- ystockquote -Yahoo!的Python API!库存数据
- QuantLib -开源库(据说具有Python绑定)
- PyFinancial -西班牙语文档
- PyMacLab -对进行动态宏观经济学研究有用的一系列课程"
- TSDB -用于存储大量时间序列数据
- PyVol -金融时间序列的波动率估计
- py-fi - very basic financial functions
- fin2py - financial tools
- Numpy/Scipy - covers all of the statistics basics
- Matplotlib - plotting financial functions
- RPy - a Python interface to R allowing use of R libraries
- ystockquote - Python API for Yahoo! Stock Data
- QuantLib - Open source library (supposedly has Python Bindings)
- PyFinancial - Docs in Spanish
- PyMacLab - "Series of classes useful for conducting research in dynamic macroeconomics"
- TSDB - for storing large volumes of time series data
- PyVol - volatility estimation of financial time series
这篇关于Python中的财务技术分析的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!
查看全文