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| import streamlit as st # for overall GUI | |
| from streamlit_calendar import calendar # to show calendar | |
| from dateutil.relativedelta import relativedelta # for addition to dates | |
| import datetime | |
| import os # for extracting environment variable | |
| from urllib.request import urlopen # for getting data from FMP API | |
| import json # for parsing data from FMP API | |
| # For parsing data from API from JSON to a Python Dictionary | |
| def get_jsonparsed_data(url): | |
| response = urlopen(url) | |
| data = response.read().decode("utf-8") | |
| return json.loads(data) | |
| # Get FMP API stored as environment variable | |
| apiKey = os.environ['FMP_API_KEY'] | |
| # Financialmodelingprep (FMP) api base url | |
| base_url = "https://financialmodelingprep.com/api/v3/" | |
| # Get today's date and add 3 months to it | |
| # Convert both today's date and the 3 months later date to strings (for input into API endpoint URL later) | |
| # This is the date range within which we want to get our earnings dates | |
| today = datetime.datetime.today() | |
| today_string = today.strftime('%Y-%m-%d') | |
| future_string = (today + relativedelta(months=3)).strftime('%Y-%m-%d') | |
| # This is the full API endpoint to get the earnings dates from today to 6 months after | |
| url = f"{base_url}earning_calendar?from={today_string}&to={future_string}&apikey={apiKey}" | |
| # This decorator ensures that the call to the FMP API will only run once at the start of this app | |
| # The data returned will be cached after the function runs | |
| # Without this decorator, the API will be called each time you click something in the streamlit app | |
| def get_earnings_dates(url): | |
| events = get_jsonparsed_data(url) | |
| return events | |
| events = get_earnings_dates(url) | |
| with st.sidebar: | |
| st.title("Stock Earnings 📆 App") | |
| st.header("Choose Tickers of Interest") | |
| #tickers = ['GOOG', 'META', 'TSLA', 'NET', 'V', 'MA', 'BA', 'C'] | |
| # For users to enter tickers of interest | |
| tickers_string = st.text_area('Enter all stock tickers to be included in calendar, separated by commas \ | |
| e.g. "MA, META, V, AMZN, JPM, BA"', | |
| value = 'GOOG, META, AAPL, MSFT, NVDA, NFLX, V, MA, AMZN, TSLA, JPM, BAC, BA, MMM, NET, C, CRM, PLTR, BABA').upper() | |
| st.write("Note: Earnings dates are shown for the next 3 months") | |
| st.write('') | |
| st.markdown("## [Explanatory Article](https://medium.datadriveninvestor.com/build-a-stock-earnings-calendar-of-your-favorite-stocks-in-python-36bba1950a61)") | |
| st.write('') | |
| # Where the data came from | |
| st.markdown("## [Financial Modeling Prep API](https://intelligence.financialmodelingprep.com/pricing-plans?couponCode=damianboh&utm_campaign=damianboh&utm_medium=blog&utm_source=medium)\ | |
| \n\nEarnings Dates for all tickers are obtained from the FinancialModelingPrep API, feel free to sign up\ | |
| [here](https://intelligence.financialmodelingprep.com/pricing-plans?couponCode=damianboh&utm_campaign=damianboh&utm_medium=blog&utm_source=medium)\ | |
| if you wish.") | |
| # Parse user input into a list | |
| tickers_string = tickers_string.replace(' ', '') | |
| tickers = tickers_string.split(',') | |
| # Converts the parsed json from FMP API into a list of events to be passed into streamlit_calendar | |
| calendar_events = [] | |
| for event in events: | |
| if event['symbol'] in tickers: | |
| calendar_event = {} | |
| calendar_event['title'] = event['symbol'] | |
| if event['time'] == 'bmo': # before market opens, add sunrise symbol | |
| calendar_event['title'] = '☀ ' + calendar_event['title'] | |
| elif event['time'] == 'amc': # after market closes, add sunset symbol | |
| calendar_event['title'] = '🌅 ' + calendar_event['title'] | |
| calendar_event['start'] = event['date'] | |
| calendar_events.append(calendar_event) | |
| st.header("Stock Earnings Calendar 📆") | |
| calendar_options = { | |
| "editable": "true", | |
| "navLinks": "true", | |
| "headerToolbar": { | |
| "left": "today prev,next", | |
| "center": "title", | |
| "right": "dayGridDay,dayGridWeek,dayGridMonth,listMonth", | |
| }, | |
| #"initialDate": today.strftime('%Y-%m-%d'), | |
| "initialView": "dayGridMonth" | |
| } | |
| custom_css=""" | |
| .fc-event-past { | |
| opacity: 0.8; | |
| } | |
| .fc-event-time { | |
| font-style: italic; | |
| } | |
| .fc-event-title { | |
| font-weight: 700; | |
| } | |
| .fc-toolbar-title { | |
| font-size: 2rem; | |
| } | |
| """ | |
| calendar = calendar(events=calendar_events, options=calendar_options, custom_css=custom_css) | |