Python from mplfinance import candlestick2 ohlc

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import mpl_finance as mpf  >import mplfinance as mpf candlestick2_ohlc

WARNING: `mpl_finance` is deprecated:

    Please use `mplfinance` instead (no hyphen, no underscore).

    To install: `pip install --upgrade mplfinance`

some stopped using mpl_finance (and plotly) since they are too slow.
Instead I've written an optimized finance plotting library, finplot, which I use to backtest up to 107 candles.

Here's a small example:

1. import yfinance as yf
   
2. import finplot as fplt
   
3. 
   
4. df = yf.download('SPY',start='2018-01-01', end = '2020-04-29')
   
5. fplt.candlestick_ochl(df[['Open','Close','High','Low']])
   
6. fplt.plot(df.Close.rolling(50).mean())
   
7. fplt.plot(df.Close.rolling(200).mean())
   
8. fplt.show()

複製代碼