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Create app.py
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app.py
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| 1 |
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import streamlit as st
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import datetime
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import requests
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import pandas as pd
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from streamlit_calendar import calendar
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API_KEY = "b431ec171262073909ebf8c0c4afba71"
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def fetch_ipo_confirmed(from_date, to_date):
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url = (
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f"https://financialmodelingprep.com/api/v4/ipo-calendar-confirmed"
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f"?from={from_date}&to={to_date}&apikey={API_KEY}"
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)
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resp = requests.get(url)
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if resp.status_code == 200:
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return resp.json()
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return []
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def fetch_ipo_prospectus(from_date, to_date):
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url = (
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f"https://financialmodelingprep.com/api/v4/ipo-calendar-prospectus"
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f"?from={from_date}&to={to_date}&apikey={API_KEY}"
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)
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resp = requests.get(url)
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if resp.status_code == 200:
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return resp.json()
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return []
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def fetch_ipo_calendar(from_date, to_date):
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url = (
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f"https://financialmodelingprep.com/api/v3/ipo_calendar"
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f"?from={from_date}&to={to_date}&apikey={API_KEY}"
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)
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resp = requests.get(url)
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if resp.status_code == 200:
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return resp.json()
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return []
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def main():
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st.set_page_config(page_title="IPO Calendar", layout="wide")
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# Keep session data
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if "general_data" not in st.session_state:
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st.session_state["general_data"] = []
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st.title("IPO Calendar")
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st.write("This displays three types of IPO events: Confirmed, Prospectus, and Calendar.")
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st.sidebar.title("Input Parameters")
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with st.sidebar.expander("How to Use", expanded=False):
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st.write(
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"""
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1. Check the event types you want to see.
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2. Select the date range.
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3. Click the button to retrieve the data.
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4. View the calendar and the table below.
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"""
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)
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with st.sidebar.expander("Event Type", expanded=True):
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include_confirmed = st.checkbox("Include IPO Confirmed", value=True, help="Include IPOs that are confirmed and have a scheduled date for going public.")
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include_prospectus = st.checkbox("Include IPO Prospectus", value=True, help="Include IPO prospectuses with detailed company and securities information.")
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include_calendar = st.checkbox("Include IPO Calendar", value=True, help="Include a list of upcoming IPOs with expected dates and price ranges.")
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with st.sidebar.expander("Parameters", expanded=True):
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today = datetime.date.today()
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one_month_later = today + datetime.timedelta(days=30)
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from_date = st.date_input("From Date", value=today, help="Select the start date for the IPO data.")
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to_date = st.date_input("To Date", value=one_month_later, help="Select the end date for the IPO data.")
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if st.sidebar.button("Retrieve Calendar"):
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all_events = []
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if include_confirmed:
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confirmed_data = fetch_ipo_confirmed(from_date, to_date)
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for item in confirmed_data:
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# Choose effectivenessDate if present, else use filingDate
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date_str = item.get("effectivenessDate") or item.get("filingDate") or ""
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if date_str:
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start_dt = f"{date_str}T00:00:00"
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end_dt = f"{date_str}T23:59:59"
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sym = item.get("symbol", "")
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event_title = f"[IPO Confirmed] {sym}"
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event_entry = {
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"start": start_dt,
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"end": end_dt,
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"title": event_title,
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"color": "#3D9DF3",
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"eventType": "IPO Confirmed"
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}
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event_entry.update(item)
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all_events.append(event_entry)
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if include_prospectus:
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prospectus_data = fetch_ipo_prospectus(from_date, to_date)
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for item in prospectus_data:
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# Use filingDate because ipoDate might not always be a standard format
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date_str = item.get("filingDate", "")
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if date_str:
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start_dt = f"{date_str}T00:00:00"
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end_dt = f"{date_str}T23:59:59"
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sym = item.get("symbol", "")
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event_title = f"[IPO Prospectus] {sym}"
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event_entry = {
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"start": start_dt,
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"end": end_dt,
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"title": event_title,
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"color": "#80C080",
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"eventType": "IPO Prospectus"
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}
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event_entry.update(item)
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all_events.append(event_entry)
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if include_calendar:
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calendar_data = fetch_ipo_calendar(from_date, to_date)
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for item in calendar_data:
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date_str = item.get("date", "")
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if date_str:
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start_dt = f"{date_str}T00:00:00"
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end_dt = f"{date_str}T23:59:59"
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sym = item.get("symbol", "")
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event_title = f"[IPO Calendar] {sym}"
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event_entry = {
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"start": start_dt,
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"end": end_dt,
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"title": event_title,
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"color": "#FFC870",
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"eventType": "IPO Calendar"
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}
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event_entry.update(item)
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all_events.append(event_entry)
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st.session_state["general_data"] = all_events
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st.subheader("Calendar Results")
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data_general = st.session_state["general_data"]
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if data_general:
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# Prepare data for display
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calendar_events = []
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for ev in data_general:
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calendar_events.append({
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"title": ev["title"],
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"start": ev["start"],
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"end": ev["end"],
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"color": ev["color"],
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})
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cal_options = {
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"initialView": "dayGridMonth",
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"headerToolbar": {
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"left": "today prev,next",
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"center": "title",
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"right": "dayGridDay,dayGridWeek,dayGridMonth",
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},
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"navLinks": True,
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}
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calendar(events=calendar_events, options=cal_options, key="ipo_cal")
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st.write("Data Table")
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df_g = pd.DataFrame(data_general)
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st.dataframe(df_g, use_container_width=True)
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else:
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st.write("No data retrieved. Check your selections and press the button.")
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if __name__ == "__main__":
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main()
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hide_streamlit_style = """
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<style>
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#MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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</style>
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| 177 |
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"""
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st.markdown(hide_streamlit_style, unsafe_allow_html=True)
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