Metadata-Version: 2.1
Name: ezfintech
Version: 0.0.32
Summary: get stock data from different APIs and Analyze Stock Data
Home-page: https://github.com/YizheZhang-Ervin/EZFintech
Author: Yizhe Zhang
Author-email: ervinzhang319@gmail.com
License: MIT
Description: # EZFintech
        Pypi: ezfintech  
          
        ## 1. Introduction  
        沪深股票数据  
        - 数据来源包括: Netease,Sohu,StockStar  
        - 数据API(ezfintech.stockData)  
            - 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)  
        - 数据可视化(ezfintech.stockVisualization)  
            - K线图
            - 金叉死叉  
            - 布林带  
        - 数据分析(ezfintech.stockAnalysis)  
            - 回归分析
            - 相关性分析  
        - 股票金融相关知识(ezfintech.stockKnowledge)  
        - 股票模型(ezfintech.stockAlgorithms.EZLSTM)
          
        ## 2. 依赖包  
        numpy,pandas,matplotlib,requests,mplfinance,pandas_datareader  
          
        ## 3. 使用方式
        ### 3.1 安装  
        python pip install ezfintech  
          
        ### 3.2 导入   
        import ezfintech.stockData as ezd    
        import ezfintech.stockAnalysis as eza  
        import ezfintech.stockVisualization as ezv  
        import ezfintech.stockKnowledge as ezk    
        import ezfintech.stockModels.EZLSTM as ezm    
          
        ### 3.3 使用
        
        #### (1) 获取股票数据
        _____
          
        - 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"  
        ```
          
        - 获取FamaFrench因子数据  
        ```
        ezd.getFamaFrenchFactors(ffType="3factors",startDate="",endDate="")  
        ffType: 3factors/5factors  
        startDate: "YYYY-MM-DD"  
        endDate: "YYYY-MM-DD"  
        ```
          
        #### (2) 股票数据可视化
        _____
          
        - K线图  
        ```
        ezv.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"  
        ```
          
        - 金叉死叉  
        ```
        ezv.plotDoubleCross(data,priceType="Close",movingAvg=(5,40),startDate="",endDate="",returnData=False)  
        data: pd.DataFrame with Date(index), Open/High/Low/Close/Volume(Columns)  
        priceType: Close/Adj Close/Open/High/Low  
        movingAvg: (period1,period2)  
        startDate: "YYYY-MM-DD"   
        endDate: "YYYY-MM-DD"  
        returnData: True/False  
        ```  
          
        - 布林带  
        ```
        ezv.plotBollingerBand(data,priceType="Close",n=2,movingAvg=40,startDate="",endDate="",returnData=False)  
        data: pd.DataFrame with Date(index), Open/High/Low/Close/Volume(Columns)  
        priceType: Close/Adj Close/Open/High/Low  
        n: how many times of deviation   
        movingAvg: period  # 移动平均时间  
        startDate: "YYYY-MM-DD"  
        endDate: "YYYY-MM-DD"  
        returnData: True/False  
        ```
          
        #### (3) 股票数据分析
        _____  
          
        - 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  
        ```
          
        #### (4) 股票知识
        _____
          
        - 股票知识  
        ```
        ezk.getStockKnowledge()  
        ```
          
        -  金融分析知识   
        ```
        ezk.getFinanceAnalysisKnowledge()  
        ```
          
        - 量化投资知识  
        ```
        ezk.getQuantitativeInvestmentKnowledge()  
        ```
          
        #### (4) 股票模型  
        _____
          
        - LSTM  
        ```  
        ezm.EZLSTM(outputSize, returnSequence)  
        outputsize: XX   # 数字  
        returnSequence: False/True  
        ```  
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
