TheDailyCalls.com Notebook¶

SPY Sectors Charts¶

This notebook is updated three times daily. Cheers.

In [1]:
import pandas as pd
import numpy as np
import yfinance as yf
import mplfinance as mpf
from datetime import datetime
from wallstreet import get_moving_averages, get_sp500_sector_components, get_daily_returns
In [2]:
n=50
In [3]:
# Parameters
n = 50
In [4]:
n=n*-1
sectors = get_sp500_sector_components()
In [5]:
datetime.now()
Out[5]:
datetime.datetime(2023, 6, 6, 15, 7, 6, 34369)
In [6]:
s = [i['symbol'] for i in sectors]
daily_returns = get_daily_returns(s)
In [7]:
pd.options.display.float_format = '{:.2f}'.format
daily_returns.sort_values(by='percent change',ascending=False).set_index('ticker').transpose()
Out[7]:
ticker xlf xly xle xlre xlb xli xlc xlk xlu xlp xlv
name
previous_close 32.63 157.47 79.37 36.64 78.51 100.24 63.32 165.94 65.43 73.34 130.79
current_price 33.05 159.11 80.00 36.87 79.00 100.86 63.57 165.88 65.37 72.97 129.69
percent change 1.29 1.04 0.79 0.63 0.62 0.62 0.39 -0.04 -0.09 -0.50 -0.84
today_volume 46.07 4.46 17.35 3.26 7.60 10.49 4.41 4.91 12.85 10.79 9.21
previous_volume 53.59 3.93 18.91 3.97 7.16 9.66 7.26 5.45 12.04 9.63 7.88
In [8]:
pd.options.display.float_format = '{:.2f}%'.format
for sector in sectors:
    df = yf.download(sector['symbol'])
    mav = get_moving_averages(sector['symbol'])
    mas = [mpf.make_addplot(mav[n:]['SMA8'], color='green', linestyle='dashed', width=1),
           mpf.make_addplot(mav[n:]['SMA21'], color='blue', linestyle='dashed', width=1),
           mpf.make_addplot(mav[n:]['SMA30'], color='orange', linestyle='dashed', width=1),
           mpf.make_addplot(mav[n:]['SMA200'], color='red', linestyle='dashed', width=1),
           ]
    current_price = mav[-1:]['Close'][0]
    current_sector = daily_returns[daily_returns['ticker']==sector['symbol']]
    current_percent_change = current_sector['percent change'].iloc[0]
#     print(current_percent_change)
    mpf.plot(df[n:],type='candle',style='yahoo',title='\n{} - {:.2f} ({:.2f}%)\n'.format(sector['name'], current_price, current_percent_change),addplot=mas,volume=True)

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