Python from mplfinance import candlestick2 ohlc
import mpl_finance as mpf>import mplfinance as mpf candlestick2_ohlcWARNING: `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:
import yfinance as yf
import finplot as fplt
df = yf.download('SPY',start='2018-01-01', end = '2020-04-29')
fplt.candlestick_ochl(df[['Open','Close','High','Low']])
fplt.plot(df.Close.rolling(50).mean())
fplt.plot(df.Close.rolling(200).mean())
fplt.show()
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