Create app.py
Browse files
app.py
ADDED
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1 |
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import streamlit as st
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import pandas as pd
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from utils import *
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st.title("Stock Portfolio and Tax Analysis")
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# Initialize empty dataframes for stock sales and portfolio stocks
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if 'stock_sales' not in st.session_state:
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st.session_state.stock_sales = pd.DataFrame(columns=['Name', 'Sale Price', 'Purchase Price', 'Holding Period (Months)'])
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if 'portfolio_stocks' not in st.session_state:
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st.session_state.portfolio_stocks = pd.DataFrame(columns=['Name', 'Purchase Price', 'Current Price', 'Quantity'])
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# Define function to add stock sale
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def add_stock_sale():
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with st.form(key="stock_sale_form"):
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col1, col2, col3, col4, col5 = st.columns(5)
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with col1:
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name = st.text_input("Stock Name", key="stock_sale_name")
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with col2:
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sale_price = st.number_input("Sale Price", min_value=1.0, key="stock_sale_price")
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with col3:
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purchase_price = st.number_input("Purchase Price", min_value=1.0, key="stock_sale_purchase_price")
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with col4:
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sell_quantity = st.number_input("Quantity", min_value=10, key="stock_sale_qty")
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with col5:
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holding_period_months = st.number_input("Holding Period (Months)", min_value=1, key="stock_sale_holding_period")
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submit_button = st.form_submit_button("Add Stock Sale")
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if submit_button:
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new_stock = pd.DataFrame([{'Name': name, 'Sale Price': sale_price, 'Purchase Price': purchase_price, 'Quantity': sell_quantity, 'Holding Period (Months)': holding_period_months}])
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st.session_state.stock_sales = pd.concat([st.session_state.stock_sales, new_stock], ignore_index=True)
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st.success("Stock Sale Added!")
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# Define function to add portfolio stock
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def add_portfolio_stock():
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with st.form(key="portfolio_stock_form"):
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col1, col2, col3, col4 = st.columns(4)
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with col1:
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name = st.text_input("Stock Name", key="portfolio_stock_name")
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with col2:
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purchase_price = st.number_input("Purchase Price", min_value=0.0, key="portfolio_stock_purchase_price")
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with col3:
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current_price = st.number_input("Current Price", min_value=0.0, key="portfolio_stock_current_price")
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with col4:
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quantity = st.number_input("Quantity", min_value=0, key="portfolio_stock_quantity")
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submit_button = st.form_submit_button("Add Portfolio Stock")
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if submit_button:
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new_stock = pd.DataFrame([{'Name': name, 'Purchase Price': purchase_price, 'Current Price': current_price, 'Quantity': quantity}])
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st.session_state.portfolio_stocks = pd.concat([st.session_state.portfolio_stocks, new_stock], ignore_index=True)
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st.success("Stock Added to Portfolio!")
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# Define functions to edit and delete stocks
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def delete_stock_sale(index):
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st.session_state.stock_sales = st.session_state.stock_sales.drop(index).reset_index(drop=True)
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st.success("Stock Sale Deleted!")
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def delete_portfolio_stock(index):
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st.session_state.portfolio_stocks = st.session_state.portfolio_stocks.drop(index).reset_index(drop=True)
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st.success("Stock Deleted from Portfolio!")
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def edit_stock_sale(index, name, sale_price, purchase_price, holding_period_months):
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st.session_state.stock_sales.at[index, 'Name'] = name
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st.session_state.stock_sales.at[index, 'Sale Price'] = sale_price
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st.session_state.stock_sales.at[index, 'Purchase Price'] = purchase_price
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st.session_state.stock_sales.at[index, 'Quantity'] = sell_quantity
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st.session_state.stock_sales.at[index, 'Holding Period (Months)'] = holding_period_months
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st.success("Stock Sale Updated!")
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def edit_portfolio_stock(index, name, purchase_price, current_price, quantity):
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st.session_state.portfolio_stocks.at[index, 'Name'] = name
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st.session_state.portfolio_stocks.at[index, 'Purchase Price'] = purchase_price
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st.session_state.portfolio_stocks.at[index, 'Current Price'] = current_price
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st.session_state.portfolio_stocks.at[index, 'Quantity'] = quantity
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st.success("Portfolio Stock Updated!")
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# UI Tabs
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tabs = st.tabs(["Add Stocks", "Manage Stocks", "Tax Analysis"])
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with tabs[0]:
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st.header("Add New Stock Sale and Portfolio Stock")
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st.subheader("Stock Sale")
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add_stock_sale()
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st.subheader("Portfolio Stock")
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add_portfolio_stock()
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with tabs[1]:
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st.header("Manage Stocks")
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st.subheader("Stock Sales")
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st.dataframe(st.session_state.stock_sales)
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if st.session_state.stock_sales.shape[0] > 0:
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selected_sale_index = st.selectbox("Select Sale to Edit", range(st.session_state.stock_sales.shape[0]), key="select_sale_to_edit")
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selected_sale = st.session_state.stock_sales.iloc[selected_sale_index]
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with st.form(key="edit_stock_sale_form"):
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col1, col2, col3, col4, col5 = st.columns(5)
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with col1:
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name = st.text_input("Edit Stock Sale Name", selected_sale['Name'], key="edit_stock_sale_name")
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with col2:
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sale_price = st.number_input("Edit Sale Price", min_value=0.0, value=selected_sale['Sale Price'], key="edit_stock_sale_price")
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with col3:
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purchase_price = st.number_input("Edit Purchase Price", min_value=0.0, value=selected_sale['Purchase Price'], key="edit_stock_sale_purchase_price")
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with col4:
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sell_quantity = st.number_input("Quantity", min_value=0.0, value=selected_sale['Quantity'], key="edit_stock_sale_qty")
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with col5:
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holding_period_months = st.number_input("Edit Holding Period (Months)", min_value=0, value=selected_sale['Holding Period (Months)'], key="edit_stock_sale_holding_period")
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update_button = st.form_submit_button("Update Stock Sale")
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if update_button:
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edit_stock_sale(selected_sale_index, name, sale_price, purchase_price, holding_period_months)
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delete_button = st.button("Delete Stock Sale", key="delete_stock_sale_button")
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if delete_button:
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delete_stock_sale(selected_sale_index)
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st.subheader("Portfolio Stocks")
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st.dataframe(st.session_state.portfolio_stocks)
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if st.session_state.portfolio_stocks.shape[0] > 0:
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selected_stock_index = st.selectbox("Select Portfolio Stock to Edit", range(st.session_state.portfolio_stocks.shape[0]), key="select_stock_to_edit_portfolio")
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selected_stock = st.session_state.portfolio_stocks.iloc[selected_stock_index]
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with st.form(key="edit_portfolio_stock_form"):
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col1, col2, col3, col4 = st.columns(4)
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with col1:
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name = st.text_input("Edit Portfolio Stock Name", selected_stock['Name'], key="edit_portfolio_stock_name")
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with col2:
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purchase_price = st.number_input("Edit Purchase Price", min_value=0.0, value=selected_stock['Purchase Price'], key="edit_portfolio_stock_purchase_price")
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with col3:
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current_price = st.number_input("Edit Current Price", min_value=0.0, value=selected_stock['Current Price'], key="edit_portfolio_stock_current_price")
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with col4:
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quantity = st.number_input("Edit Quantity", min_value=0, value=selected_stock['Quantity'], key="edit_portfolio_stock_quantity")
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update_button = st.form_submit_button("Update Portfolio Stock")
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if update_button:
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edit_portfolio_stock(selected_stock_index, name, purchase_price, current_price, quantity)
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delete_button = st.button("Delete Portfolio Stock", key="delete_portfolio_stock_button")
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if delete_button:
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delete_portfolio_stock(selected_stock_index)
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with tabs[2]:
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st.header("Tax Analysis")
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if st.session_state.stock_sales.shape[0] > 0:
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portfolio = Portfolio()
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for _, row in st.session_state.stock_sales.iterrows():
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portfolio.add_stock(StockSale(row['Name'], row['Sale Price'], row['Purchase Price'], row['Quantity'], row['Holding Period (Months)']))
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total_stcg, total_ltcg = portfolio.analyze_portfolio()
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stcg_tax, ltcg_tax, total_tax = portfolio.apply_tax(total_stcg, total_ltcg)
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stocks = []
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for _, row in st.session_state.portfolio_stocks.iterrows():
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stocks.append(Stock(row['Name'], row['Purchase Price'], row['Current Price'], row['Quantity']))
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suggested_stocks = optimize_taxes_selling_stocks(stocks)
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total_loss = calculate_total_loss(suggested_stocks)
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recalculated_tax = max(0, total_tax - total_loss)
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st.subheader("Analysis Results")
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if total_tax > total_loss:
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st.write(f"Total Short-Term Capital Gains: ₹{total_stcg:.2f}")
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st.write(f"Total Long-Term Capital Gains: ₹{total_ltcg:.2f}")
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st.write(f"Short-Term Capital Gains Tax: ₹{stcg_tax:.2f}")
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st.write(f"Long-Term Capital Gains Tax: ₹{ltcg_tax:.2f}")
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st.write(f"Total Tax Liability: ₹{total_tax:.2f}")
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st.write(f"Total Loss of loss making stockes: ₹{total_loss:.2f}")
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# Add a vertical spacing for better separation
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st.write("\n")
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st.subheader("Suggested Stocks to Sell to Offset Gains:")
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# Use Streamlit's dataframe for a tabular vies
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suggested_stocks_data = {
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'Name': [stock.name for stock in suggested_stocks],
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'Current Price': [stock.current_price for stock in suggested_stocks],
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'Purchase Price': [stock.purchase_price for stock in suggested_stocks]
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}
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st.dataframe(suggested_stocks_data)
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st.write(f"Total Tax Liability before selling loss making stocks: ₹{total_tax:.2f}")
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st.write(f"Adjusted Tax Liability after Selling Loss-Making Stocks and buy again: ₹{recalculated_tax:.2f}")
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elif total_loss >= 0:
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st.write(f"Total Short-Term Capital Gains: ₹{total_stcg:.2f}")
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st.write(f"Total Long-Term Capital Gains: ₹{total_ltcg:.2f}")
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st.write(f"Short-Term Capital Gains Tax: ₹{stcg_tax:.2f}")
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st.write(f"Long-Term Capital Gains Tax: ₹{ltcg_tax:.2f}")
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st.write(f"Total Tax Liability: ₹{total_tax:.2f}")
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else:
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st.write("No suggested stocks for selling to offset gains.")
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# Ensure you have the 'calculate_total_loss' function implemented in utils.py
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def calculate_total_loss(suggested_stocks):
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total_loss = 0.0
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for stock in suggested_stocks:
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total_loss += (stock.purchase_price - stock.current_price) * stock.quantity
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return total_loss
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