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, 11, 30, 12, 7, 9, 750308)
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 xlv xlf xlb xle xli xlu xlp xlre xlk xly xlc
name
previous_close 129.68 35.50 81.60 84.02 105.89 62.49 69.96 36.93 184.89 169.02 70.18
current_price 130.57 35.70 81.94 84.36 106.28 62.69 70.11 36.94 183.90 167.96 69.28
percent change 0.69 0.56 0.42 0.40 0.37 0.33 0.21 0.04 -0.54 -0.63 -1.28
today_volume 4.33 14.99 2.13 19.84 8.64 7.37 4.89 3.42 2.75 2.64 2.48
previous_volume 6.98 36.65 3.12 22.63 9.10 17.90 9.87 7.94 5.38 3.83 4.09
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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