Update app.py
Browse files
app.py
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@@ -2,6 +2,9 @@ import pandas as pd
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import numpy as np
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import yfinance as yf
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import streamlit as st
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# Function to fetch historical stock data using yfinance
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def fetch_stock_data(ticker, start_date, end_date):
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@@ -201,6 +204,17 @@ def main():
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start_date = st.date_input('Start Date', pd.to_datetime('2020-01-01'))
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end_date = st.date_input('End Date', pd.to_datetime('2022-01-01'))
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if st.button('Detect Patterns'):
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stock_data = fetch_stock_data(ticker, start_date, end_date)
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stock_data = detect_head_shoulder(stock_data)
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import numpy as np
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import yfinance as yf
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import streamlit as st
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from datetime import datetime, timedelta
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import pytz
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# Function to fetch historical stock data using yfinance
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def fetch_stock_data(ticker, start_date, end_date):
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start_date = st.date_input('Start Date', pd.to_datetime('2020-01-01'))
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end_date = st.date_input('End Date', pd.to_datetime('2022-01-01'))
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preferred_timezone = st.timezone_input('Select Preferred Timezone', pytz.UTC)
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start_datetime = st.time_input('Select Start Time', datetime(2022, 1, 1, 0, 0))
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end_datetime = st.time_input('Select End Time', datetime(2022, 1, 1, 23, 59))
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start_datetime = datetime.combine(start_date, start_datetime.time())
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end_datetime = datetime.combine(end_date, end_datetime.time())
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start_datetime = preferred_timezone.localize(start_datetime)
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end_datetime = preferred_timezone.localize(end_datetime)
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if st.button('Detect Patterns'):
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stock_data = fetch_stock_data(ticker, start_date, end_date)
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stock_data = detect_head_shoulder(stock_data)
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