python - matplotlib 中的烛台

Question

我正在尝试制作一个密码扫描仪，但我有点挣扎。现在的代码可以遍历 symbols.csv 中的不同硬币并为所有这些硬币打印图。这些图包括收盘价、SMA 和布林带。现在我真的希望收盘价是烛台而不是一条线。我发现还有其他像 mpf 这样的地块来制作烛台。问题是我不知道如何使布林带与 mpf 图一起使用，也不知道如何使烛台与 matplotlib 一起使用。有人可以帮我在 matplotlib 中制作烛台，或者在 mpf 图中制作布林带。

提前致谢！

图表现在看起来像这样

import yfinance as yf
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib



with open('symbols.csv') as f:
    symbols = f.read().splitlines()
    for symbol in symbols:
        df = yf.download(symbol, start='2020-01-01')
        # df = yf.download(symbol, period = '22h', interval = '15m')
        print(df)



# df = yf.download('ADA-USD', start='2021-01-01')

        df['SMA'] = df.Close.rolling(window=20).mean()
        df['stddev'] = df.Close.rolling(window=20).std()
        df['Upper'] = df.SMA + 2* df.stddev
        df['Lower'] = df.SMA - 2* df.stddev
        df['Buy_Signal'] = np.where(df.Lower > df.Close, True, False)
        df['Sell_Signal'] = np.where(df.Upper < df.Close, True, False)

        buys = []
        sells = []
        open_pos = False

        for i in range(len(df)):
            if df.Lower[i] > df.Close[i]:
                if open_pos == False:
                    buys.append(i)
                    open_pos = True
            elif df.Upper[i] < df.Close[i]:
                if open_pos:
                    sells.append(i)
                    open_pos = False



        plt.figure(figsize=(12, 6))

        plt.scatter(df.iloc[buys].index, df.iloc[buys].Close, marker = '^', color ='g')
        plt.scatter(df.iloc[sells].index, df.iloc[sells].Close, marker = '^', color ='r')


        plt.plot(df[['Close', 'SMA', 'Upper', 'Lower']])
        plt.fill_between(df.index, df.Upper, df.Lower, color='grey', alpha=0.3)
        plt.legend(['Close', 'SMA', 'Upper', 'Lower'])
        plt.show()

        merged = pd.concat([df.iloc[buys].Close, df.iloc[sells].Close], axis=1)
        merged.columns = ['Buys', 'Sells']
        print(merged)
        totalprofit = merged.shift(-1).Sells - merged.Buys
        print(totalprofit)
        relprofits = (merged.shift(-1).Sells - merged.Buys) / merged.Buys
        print(relprofits.mean())

Answer 1

评论中的链接提供了大量示例。由于您想在 mpf 中绘制烛台、布林带和 SMA，我已经修改了前面示例中的其他绘图示例以满足您的需要。这些图表是根据从股票而不是货币中获得的数据创建的。

import yfinance as yf
import pandas as pd
import mplfinance as mpf

df = yf.download("AAPL", start="2020-01-01")

df['SMA'] = df.Close.rolling(window=20).mean()
df['stddev'] = df.Close.rolling(window=20).std()
df['Upper'] = df.SMA + 2* df.stddev
df['Lower'] = df.SMA - 2* df.stddev
df['Buy_Signal'] = np.where(df.Lower > df.Close, True, False)
df['Sell_Signal'] = np.where(df.Upper < df.Close, True, False)

tcdf = df[['Lower','Upper','SMA']]
apd = mpf.make_addplot(tcdf)
mpf.plot(df, figratio=(8,4), type='candle', addplot=apd, volume=False, style='yahoo')