ezfintech 0.0.31

get stock data from different APIs and Analyze Stock Data

ezfintech

Introduction

沪深股票数据API:

• 数据
  日数据(当日、4日数据)
  年数据(一年的数据)
  周期数据(日/周/月数据)
  区间数据(起止日期内的数据)
  实时数据(未开发)
  多只股票合表数据(未开发)
• 数据来源包括: Netease,Sohu,StockStar
• 数据可视化: K线图,回归分析,相关性分析
• 股票金融相关知识

依赖包

pandas,requests,mplfinance

使用方式

安装

python pip install ezfintech

导入

import ezfintech.stockData as ezd
import ezfintech.stockAnalysis as eza
import ezfintech.stockKnowledge as ezk

日数据

ezd.getStockByDay(stockCode,day="today",source="126")
stockCode:"XXXXXXX" day: "today" / "4d"
source: "126"

年数据

ezd.getStockByYear(stockCode,year="2020",adjust="klinederc",source="126")
stockCode:"XXXXXXX" year: "YYYY"
adjust: "kline" / "klinederc"
source: "126"

周期数据

ezd.getStockByPeriod(stockCode,period="week",adjust="klinederc",source="126")
stockCode:"XXXXXXX" period: "day" / "week" / "month"
adjust: "kline" / "klinederc"
source: "126" / "stockstar"

区间数据

ezd.getStockByTwoDate(stockCode,startDate="20210301",endDate="20210308",source="sohu")
stockCode:"XXXXXX" startDate: "YYYYMMDD"
endDate: "YYYYMMDD"
source: "sohu"

---

K线图

eza.plotKLine(data,movingAvg=(3,6,9),plotType="candle",startDate="",endDate="")
data: pd.Dataframe
movingAvg: (X1,X2,X3) or X1
plotType: "candle" / "line" / "renko" / "pnf"
startDate: "YYYY-MM-DD"
endDate: "YYYY-MM-DD"

回归分析

eza.plotKLine(data,movingAvg=(3,6,9),plotType="candle",startDate="",endDate="")
data: pd.Dataframe
movingAvg: (period1,period2,period3...) or period1
plotType: "candle" / "line" / "renko" / "pnf"
startDate: "YYYY-MM-DD"
endDate: "YYYY-MM-DD"

相关性分析

eza.regressionAnalysis(stock1,stock2,startDate="",endDate=""): stock1/stock2: pd.DataFrame
startDate: "YYYY-MM-DD"
endDate: "YYYY-MM-DD"
regressDeg: num

---

股票知识

ezk.getStockKnowledge()

金融分析知识

ezk.getFinanceAnalysisKnowledge()

量化投资知识

ezk.getQuantitativeInvestmentKnowledge()