tommycotter

import { getGlobalSession } from '../../session';
import { CalendarManager, Ratings } from '@benzinga/calendar-manager';
import { SafePromise } from '@benzinga/safe-await';
import _ from 'lodash';
import { Session } from '@benzinga/session';
import { DateTime } from 'luxon';

export interface AnalystRatingsSummary {
  aggregateRatings: RatingsAggregate;
  consensusPriceTarget: string;

tommycotter

import csv
import requests
import pandas as pd
import plotly.express as px
import time  # add the time module
import random  # add the random module

# initialize lists to store the IP addresses and coordinates
ips = []
coords = []

tommycotter

qf = cf.QuantFig(df, title="Under Armour's stock price in 2022", name='UAA')
qf.add_sma([10, 50], width=2, color=['blue', 'red'])
qf.add_rsi(periods=14, color='green')
qf.add_bollinger_bands(periods=20, boll_std=2 ,colors=['orange','grey'], fill=True)
qf.add_macd()
qf.iplot()

tommycotter

qf = cf.QuantFig(df, title="Under Armour's stock price in 2022", name='UAA')
qf.add_sma(periods=14, column='close', color='blue')
qf.iplot()

tommycotter

qf = cf.QuantFig(df, title="Under Armour's stock price in 2022", name='UAA')
qf.iplot()

tommycotter

# Install the libraries
import numpy as np
import pandas as pd
import warnings
import cufflinks as cf
import plotly.graph_objects as go
from plotly.offline import iplot, init_notebook_mode

# Import data from the Benzinga Python SDK
from benzinga import financial_data

tommycotter

import pandas as pd
import plotly.graph_objects as go

# Import data from the Benzinga Python SDK
from benzinga import financial_data
api_key = "YOUR_API_KEY"
fin = financial_data.Benzinga(api_key)

# Set up the dataframe
df = pd.DataFrame(fin.bars(company_tickers="DKNG",

tommycotter

from this import d
from tracemalloc import start
import requests
import plotly.express as px
import datetime

import pandas as pd
import json

# Add API paramters

tommycotter

import plotly.express as px

wide_df = px.data.medals_wide()

fig = px.bar(wide_df, x="month", y=["Strong Buy", "Buy", "Hold", "Underperform", "Sell"], title="Recommendation Trends")
fig.show()

tommycotter

{
"id": "123456789",
"search_key": "AAPL",
"files": {
     "logo_dark": "https://imageURL-1.benzinga.com",
     "logo_light": "https://imageURL-2.benzinga.com",
     "logo_vector_dark": "https://imageURL-3.benzinga.com",
     "logo_vector_light": "https://imageURL-4.benzinga.com",
     "mark_composite_dark": "https://imageURL-5.benzinga.com",
     "mark_composite_light": "https://imageURL-6.benzinga.com",