import streamlit as st
import pandas as pd
import plotly.express as px
import numpy as np

st.title('Gold Price Analysis')

uploaded_file = st.file_uploader("Upload Gold Price CSV", type='csv')

if uploaded_file is not None:
    df = pd.read_csv(uploaded_file)
    df['Date'] = pd.to_datetime(df['Date'], format='%Y%m%d')
    df = df.sort_values('Date')

    st.dataframe(df)

    # Plot Price vs Date
    fig1 = px.line(df, x='Date', y='Price', title='Gold Price over Time')
    st.plotly_chart(fig1)

    # Plot Return vs Date
    fig2 = px.line(df, x='Date', y='Return', title='Daily Return (Absolute Change)')
    st.plotly_chart(fig2)

    # Compute Real Return
    df['P_prev'] = df['Price'].shift(1)
    df['nominal_return'] = df['Return'] / df['P_prev']
    i = 0.43
    d = (1 + i)**(1/365) - 1
    df['real_return'] = ((1 + df['nominal_return']) / (1 + d) - 1) * 100

    # Plot Real Return vs Date
    fig3 = px.line(df, x='Date', y='real_return', title='Daily Real Return (%)')
    st.plotly_chart(fig3)
else:
    st.write("Please upload a CSV file.")