Comparing Multiple Tickers¶

Use merge_prices from mplchart.pandas (pandas backend only) to overlay a second ticker's close price on the primary chart. With rebase=True both series are scaled to the same starting level, making relative performance easy to compare.

In [1]:

import yfinance as yf

from mplchart.chart import Chart
from mplchart.primitives import Candlesticks, Volume, LinePlot
from mplchart.pandas import merge_prices
from mplchart.utils import normalize_prices

aapl = normalize_prices(yf.Ticker("AAPL").history(period="5y"))
msft = normalize_prices(yf.Ticker("MSFT").history(period="5y"))

import yfinance as yf from mplchart.chart import Chart from mplchart.primitives import Candlesticks, Volume, LinePlot from mplchart.pandas import merge_prices from mplchart.utils import normalize_prices aapl = normalize_prices(yf.Ticker("AAPL").history(period="5y")) msft = normalize_prices(yf.Ticker("MSFT").history(period="5y"))

In [2]:

# Merge MSFT close into AAPL prices, rebased to the same starting level
prices = merge_prices(aapl, msft=msft, rebase=True)

Chart(prices, title="AAPL vs MSFT (rebased)", max_bars=250).plot(
    Candlesticks(),
    LinePlot("msft"),
    Volume(),
).show()

# Merge MSFT close into AAPL prices, rebased to the same starting level prices = merge_prices(aapl, msft=msft, rebase=True) Chart(prices, title="AAPL vs MSFT (rebased)", max_bars=250).plot( Candlesticks(), LinePlot("msft"), Volume(), ).show()