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Browse files- Menu/comparison.py +0 -58
Menu/comparison.py
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import pandas as pd
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import numpy as np
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import matplotlib.pyplot as plt
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import pandas_datareader.data as web
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import datetime as dt
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import yfinance as yf
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from sklearn.preprocessing import MinMaxScaler
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from keras.models import load_model
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import streamlit as st
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import plotly.graph_objects as go
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import base64
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import plotly.express as px
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from datetime import datetime
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stock_tickers = {
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"MAPI":"MAPI.JK","MAP Aktif": "MAPA.JK","MAP Boga": "MAPB.JK",
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"Tesla": "TSLA", "Apple": "AAPL", "Microsoft": "MSFT", "Google": "GOOGL",
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"Facebook": "FB", "Amazon": "AMZN", "Netflix": "NFLX", "Alphabet": "GOOG",
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"Nvidia": "NVDA", "Paypal": "PYPL", "Adobe": "ADBE", "Intel": "INTC",
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"Cisco": "CSCO", "Comcast": "CMCSA", "Pepsi": "PEP", "Costco": "COST",
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"Starbucks": "SBUX", "Walmart": "WMT", "Disney": "DIS", "Visa": "V",
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"Mastercard": "MA", "Boeing": "BA", "IBM": "IBM", "McDonalds": "MCD",
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"Nike": "NKE", "Exxon": "XOM", "Chevron": "CVX", "Verizon": "VZ",
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"AT&T": "T", "Home Depot": "HD", "Salesforce": "CRM", "Oracle": "ORCL",
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"Qualcomm": "QCOM", "AMD": "AMD"
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}
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st.title("Stock Comparison App")
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# Sidebar for stock selection and date range specification
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st.sidebar.header("Select Stocks and Date Ranges")
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stock1 = st.sidebar.selectbox("Select Stock 1", list(stock_tickers.keys()), key="stock1_selectbox")
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stock2 = st.sidebar.selectbox("Select Stock 2", list(stock_tickers.keys()), key="stock2_selectbox")
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start_date_stock1 = st.sidebar.date_input(f"Start date for {stock1}", datetime(2018, 1, 1), key=f"start_date_{stock1}")
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end_date_stock1 = st.sidebar.date_input(f"End date for {stock1}", datetime(2023, 12, 1), key=f"end_date_{stock1}")
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start_date_stock2 = st.sidebar.date_input(f"Start date for {stock2}", datetime(2018, 1, 1), key=f"start_date_{stock2}")
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end_date_stock2 = st.sidebar.date_input(f"End date for {stock2}", datetime(2023, 12, 1), key=f"end_date_{stock2}")
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# Button to trigger the comparison
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if st.sidebar.button("Compare"):
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# Load data for both stocks
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data_stock1 = yf.download(stock_tickers[stock1], start=start_date_stock1, end=end_date_stock1)
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data_stock2 = yf.download(stock_tickers[stock2], start=start_date_stock2, end=end_date_stock2)
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# Plotting the data
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fig = go.Figure()
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fig.add_trace(go.Scatter(x=data_stock1.index, y=data_stock1['Close'], mode='lines', name=f'{stock1}'))
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fig.add_trace(go.Scatter(x=data_stock2.index, y=data_stock2['Close'], mode='lines', name=f'{stock2}'))
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fig.update_layout(title=f"Comparison of {stock1} and {stock2}", xaxis_title="Date", yaxis_title="Closing Price")
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st.plotly_chart(fig)
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st.sidebar.markdown("----")
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st.sidebar.markdown("© 2023 Comparation Stocks Prediction App")
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