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import streamlit as st
import requests
import pandas as pd
# Hard-coded API key for demonstration purposes
API_KEY = "QR8F9B7T6R2SWTAT"
def fetch_alpha_vantage_data(api_key, symbol):
try:
url = f'https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol={symbol}&interval=5min&apikey={api_key}'
response = requests.get(url)
response.raise_for_status() # Raise an error for bad responses
alpha_vantage_data = response.json()
return alpha_vantage_data
except requests.RequestException as e:
st.error(f"Error fetching data: {e}")
return None
def main():
st.title("Stock Trend Predictor")
# User input for stock symbol
symbol = st.text_input("Enter Stock Symbol (e.g., IBM):")
if not symbol:
st.warning("Please enter a valid stock symbol.")
st.stop()
# Use the hard-coded API key
api_key = API_KEY
# Fetch Alpha Vantage data
alpha_vantage_data = fetch_alpha_vantage_data(api_key, symbol)
if alpha_vantage_data:
# Extract relevant data from Alpha Vantage response
time_series_key = 'Time Series (5min)'
if time_series_key in alpha_vantage_data:
alpha_vantage_time_series = alpha_vantage_data[time_series_key]
df = pd.DataFrame(alpha_vantage_time_series).T
df.index = pd.to_datetime(df.index)
df = df.dropna(axis=0)
if not df.empty:
# Display the raw data
st.subheader("Raw Data:")
st.write(df)
else:
st.warning("No intraday data available for the specified symbol.")
else:
st.warning(f"Key '{time_series_key}' not found in API response.")
if __name__ == "__main__":
main() |