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股票指标选股源码

股票指标选股是投资者在股票市场中常用的一种策略，通过对股票的技术指标进行分析，挑选出具有潜在增长性的个股。以下是一个简单的示例源码，用于选取基于几个常见指标的股票。

        import pandas as pd
        import yfinance as yf
         下载股票数据
        def download_stock_data(ticker, start_date, end_date):
            stock_data = yf.download(ticker, start=start_date, end=end_date)
            return stock_data
         计算移动平均线
        def calculate_moving_average(data, window_size):
            data['MA'] = data['Close'].rolling(window=window_size).mean()
            return data
         计算相对强弱指标(RSI)
        def calculate_rsi(data, window_size):
            delta = data['Close'].diff()
            gain = (delta.where(delta > 0, 0)).rolling(window=window_size).mean()
            loss = (delta.where(delta < 0, 0)).rolling(window=window_size).mean()
            RS = gain / loss
            RSI = 100  (100 / (1   RS))
            data['RSI'] = RSI
            return data
         筛选股票
        def select_stocks(tickers, start_date, end_date, ma_window, rsi_window):
            selected_stocks = []
            for ticker in tickers:
                data = download_stock_data(ticker, start_date, end_date)
                data = calculate_moving_average(data, ma_window)
                data = calculate_rsi(data, rsi_window)
                 根据条件筛选股票
                if data['Close'][1] > data['MA'][1] and data['RSI'][1] > 70:
                    selected_stocks.append(ticker)
            return selected_stocks
        if __name__ == "__main__":
             设置参数
            tickers = ['AAPL', 'GOOGL', 'MSFT', 'AMZN', 'FB']
            start_date = '20200101'
            end_date = '20240101'
            ma_window = 20
            rsi_window = 14
             选取股票
            selected_stocks = select_stocks(tickers, start_date, end_date, ma_window, rsi_window)
            print("Selected Stocks:", selected_stocks)
    

以上是一个使用Python语言编写的简单示例代码，用于基于移动平均线和相对强弱指标(RSI)进行股票筛选。你可以根据自己的需求和实际情况调整参数和策略，进一步完善该代码。

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