Create app.py
Browse files
app.py
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| 1 |
+
import streamlit as st
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| 2 |
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import pandas as pd
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| 3 |
+
from utils import *
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| 4 |
+
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| 5 |
+
st.title("Stock Portfolio and Tax Analysis")
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| 6 |
+
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| 7 |
+
# Initialize empty dataframes for stock sales and portfolio stocks
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| 8 |
+
if 'stock_sales' not in st.session_state:
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| 9 |
+
st.session_state.stock_sales = pd.DataFrame(columns=['Name', 'Sale Price', 'Purchase Price', 'Holding Period (Months)'])
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| 10 |
+
if 'portfolio_stocks' not in st.session_state:
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| 11 |
+
st.session_state.portfolio_stocks = pd.DataFrame(columns=['Name', 'Purchase Price', 'Current Price', 'Quantity'])
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| 12 |
+
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| 13 |
+
# Define function to add stock sale
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| 14 |
+
def add_stock_sale():
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| 15 |
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with st.form(key="stock_sale_form"):
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| 16 |
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col1, col2, col3, col4, col5 = st.columns(5)
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| 17 |
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with col1:
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| 18 |
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name = st.text_input("Stock Name", key="stock_sale_name")
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| 19 |
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with col2:
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| 20 |
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sale_price = st.number_input("Sale Price", min_value=1.0, key="stock_sale_price")
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| 21 |
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with col3:
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| 22 |
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purchase_price = st.number_input("Purchase Price", min_value=1.0, key="stock_sale_purchase_price")
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| 23 |
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with col4:
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| 24 |
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sell_quantity = st.number_input("Quantity", min_value=10, key="stock_sale_qty")
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| 25 |
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with col5:
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| 26 |
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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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| 27 |
+
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| 28 |
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submit_button = st.form_submit_button("Add Stock Sale")
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| 29 |
+
if submit_button:
|
| 30 |
+
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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| 31 |
+
st.session_state.stock_sales = pd.concat([st.session_state.stock_sales, new_stock], ignore_index=True)
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| 32 |
+
st.success("Stock Sale Added!")
|
| 33 |
+
|
| 34 |
+
# Define function to add portfolio stock
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| 35 |
+
def add_portfolio_stock():
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| 36 |
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with st.form(key="portfolio_stock_form"):
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| 37 |
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col1, col2, col3, col4 = st.columns(4)
|
| 38 |
+
with col1:
|
| 39 |
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name = st.text_input("Stock Name", key="portfolio_stock_name")
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| 40 |
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with col2:
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| 41 |
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purchase_price = st.number_input("Purchase Price", min_value=0.0, key="portfolio_stock_purchase_price")
|
| 42 |
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with col3:
|
| 43 |
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current_price = st.number_input("Current Price", min_value=0.0, key="portfolio_stock_current_price")
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| 44 |
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with col4:
|
| 45 |
+
quantity = st.number_input("Quantity", min_value=0, key="portfolio_stock_quantity")
|
| 46 |
+
|
| 47 |
+
submit_button = st.form_submit_button("Add Portfolio Stock")
|
| 48 |
+
if submit_button:
|
| 49 |
+
new_stock = pd.DataFrame([{'Name': name, 'Purchase Price': purchase_price, 'Current Price': current_price, 'Quantity': quantity}])
|
| 50 |
+
st.session_state.portfolio_stocks = pd.concat([st.session_state.portfolio_stocks, new_stock], ignore_index=True)
|
| 51 |
+
st.success("Stock Added to Portfolio!")
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| 52 |
+
|
| 53 |
+
# Define functions to edit and delete stocks
|
| 54 |
+
def delete_stock_sale(index):
|
| 55 |
+
st.session_state.stock_sales = st.session_state.stock_sales.drop(index).reset_index(drop=True)
|
| 56 |
+
st.success("Stock Sale Deleted!")
|
| 57 |
+
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| 58 |
+
def delete_portfolio_stock(index):
|
| 59 |
+
st.session_state.portfolio_stocks = st.session_state.portfolio_stocks.drop(index).reset_index(drop=True)
|
| 60 |
+
st.success("Stock Deleted from Portfolio!")
|
| 61 |
+
|
| 62 |
+
def edit_stock_sale(index, name, sale_price, purchase_price, holding_period_months):
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| 63 |
+
st.session_state.stock_sales.at[index, 'Name'] = name
|
| 64 |
+
st.session_state.stock_sales.at[index, 'Sale Price'] = sale_price
|
| 65 |
+
st.session_state.stock_sales.at[index, 'Purchase Price'] = purchase_price
|
| 66 |
+
st.session_state.stock_sales.at[index, 'Quantity'] = sell_quantity
|
| 67 |
+
st.session_state.stock_sales.at[index, 'Holding Period (Months)'] = holding_period_months
|
| 68 |
+
st.success("Stock Sale Updated!")
|
| 69 |
+
|
| 70 |
+
def edit_portfolio_stock(index, name, purchase_price, current_price, quantity):
|
| 71 |
+
st.session_state.portfolio_stocks.at[index, 'Name'] = name
|
| 72 |
+
st.session_state.portfolio_stocks.at[index, 'Purchase Price'] = purchase_price
|
| 73 |
+
st.session_state.portfolio_stocks.at[index, 'Current Price'] = current_price
|
| 74 |
+
st.session_state.portfolio_stocks.at[index, 'Quantity'] = quantity
|
| 75 |
+
st.success("Portfolio Stock Updated!")
|
| 76 |
+
|
| 77 |
+
# UI Tabs
|
| 78 |
+
tabs = st.tabs(["Add Stocks", "Manage Stocks", "Tax Analysis"])
|
| 79 |
+
|
| 80 |
+
with tabs[0]:
|
| 81 |
+
st.header("Add New Stock Sale and Portfolio Stock")
|
| 82 |
+
st.subheader("Stock Sale")
|
| 83 |
+
add_stock_sale()
|
| 84 |
+
st.subheader("Portfolio Stock")
|
| 85 |
+
add_portfolio_stock()
|
| 86 |
+
|
| 87 |
+
with tabs[1]:
|
| 88 |
+
st.header("Manage Stocks")
|
| 89 |
+
|
| 90 |
+
st.subheader("Stock Sales")
|
| 91 |
+
st.dataframe(st.session_state.stock_sales)
|
| 92 |
+
|
| 93 |
+
if st.session_state.stock_sales.shape[0] > 0:
|
| 94 |
+
selected_sale_index = st.selectbox("Select Sale to Edit", range(st.session_state.stock_sales.shape[0]), key="select_sale_to_edit")
|
| 95 |
+
selected_sale = st.session_state.stock_sales.iloc[selected_sale_index]
|
| 96 |
+
with st.form(key="edit_stock_sale_form"):
|
| 97 |
+
col1, col2, col3, col4, col5 = st.columns(5)
|
| 98 |
+
with col1:
|
| 99 |
+
name = st.text_input("Edit Stock Sale Name", selected_sale['Name'], key="edit_stock_sale_name")
|
| 100 |
+
with col2:
|
| 101 |
+
sale_price = st.number_input("Edit Sale Price", min_value=0.0, value=selected_sale['Sale Price'], key="edit_stock_sale_price")
|
| 102 |
+
with col3:
|
| 103 |
+
purchase_price = st.number_input("Edit Purchase Price", min_value=0.0, value=selected_sale['Purchase Price'], key="edit_stock_sale_purchase_price")
|
| 104 |
+
with col4:
|
| 105 |
+
sell_quantity = st.number_input("Quantity", min_value=0.0, value=selected_sale['Quantity'], key="edit_stock_sale_qty")
|
| 106 |
+
with col5:
|
| 107 |
+
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")
|
| 108 |
+
|
| 109 |
+
update_button = st.form_submit_button("Update Stock Sale")
|
| 110 |
+
if update_button:
|
| 111 |
+
edit_stock_sale(selected_sale_index, name, sale_price, purchase_price, holding_period_months)
|
| 112 |
+
|
| 113 |
+
delete_button = st.button("Delete Stock Sale", key="delete_stock_sale_button")
|
| 114 |
+
if delete_button:
|
| 115 |
+
delete_stock_sale(selected_sale_index)
|
| 116 |
+
|
| 117 |
+
st.subheader("Portfolio Stocks")
|
| 118 |
+
st.dataframe(st.session_state.portfolio_stocks)
|
| 119 |
+
|
| 120 |
+
if st.session_state.portfolio_stocks.shape[0] > 0:
|
| 121 |
+
selected_stock_index = st.selectbox("Select Portfolio Stock to Edit", range(st.session_state.portfolio_stocks.shape[0]), key="select_stock_to_edit_portfolio")
|
| 122 |
+
selected_stock = st.session_state.portfolio_stocks.iloc[selected_stock_index]
|
| 123 |
+
with st.form(key="edit_portfolio_stock_form"):
|
| 124 |
+
col1, col2, col3, col4 = st.columns(4)
|
| 125 |
+
with col1:
|
| 126 |
+
name = st.text_input("Edit Portfolio Stock Name", selected_stock['Name'], key="edit_portfolio_stock_name")
|
| 127 |
+
with col2:
|
| 128 |
+
purchase_price = st.number_input("Edit Purchase Price", min_value=0.0, value=selected_stock['Purchase Price'], key="edit_portfolio_stock_purchase_price")
|
| 129 |
+
with col3:
|
| 130 |
+
current_price = st.number_input("Edit Current Price", min_value=0.0, value=selected_stock['Current Price'], key="edit_portfolio_stock_current_price")
|
| 131 |
+
with col4:
|
| 132 |
+
quantity = st.number_input("Edit Quantity", min_value=0, value=selected_stock['Quantity'], key="edit_portfolio_stock_quantity")
|
| 133 |
+
|
| 134 |
+
update_button = st.form_submit_button("Update Portfolio Stock")
|
| 135 |
+
if update_button:
|
| 136 |
+
edit_portfolio_stock(selected_stock_index, name, purchase_price, current_price, quantity)
|
| 137 |
+
|
| 138 |
+
delete_button = st.button("Delete Portfolio Stock", key="delete_portfolio_stock_button")
|
| 139 |
+
if delete_button:
|
| 140 |
+
delete_portfolio_stock(selected_stock_index)
|
| 141 |
+
|
| 142 |
+
with tabs[2]:
|
| 143 |
+
st.header("Tax Analysis")
|
| 144 |
+
|
| 145 |
+
if st.session_state.stock_sales.shape[0] > 0:
|
| 146 |
+
portfolio = Portfolio()
|
| 147 |
+
for _, row in st.session_state.stock_sales.iterrows():
|
| 148 |
+
portfolio.add_stock(StockSale(row['Name'], row['Sale Price'], row['Purchase Price'], row['Quantity'], row['Holding Period (Months)']))
|
| 149 |
+
|
| 150 |
+
total_stcg, total_ltcg = portfolio.analyze_portfolio()
|
| 151 |
+
stcg_tax, ltcg_tax, total_tax = portfolio.apply_tax(total_stcg, total_ltcg)
|
| 152 |
+
|
| 153 |
+
stocks = []
|
| 154 |
+
for _, row in st.session_state.portfolio_stocks.iterrows():
|
| 155 |
+
stocks.append(Stock(row['Name'], row['Purchase Price'], row['Current Price'], row['Quantity']))
|
| 156 |
+
|
| 157 |
+
suggested_stocks = optimize_taxes_selling_stocks(stocks)
|
| 158 |
+
total_loss = calculate_total_loss(suggested_stocks)
|
| 159 |
+
recalculated_tax = max(0, total_tax - total_loss)
|
| 160 |
+
|
| 161 |
+
st.subheader("Analysis Results")
|
| 162 |
+
if total_tax > total_loss:
|
| 163 |
+
|
| 164 |
+
st.write(f"Total Short-Term Capital Gains: ₹{total_stcg:.2f}")
|
| 165 |
+
st.write(f"Total Long-Term Capital Gains: ₹{total_ltcg:.2f}")
|
| 166 |
+
st.write(f"Short-Term Capital Gains Tax: ₹{stcg_tax:.2f}")
|
| 167 |
+
st.write(f"Long-Term Capital Gains Tax: ₹{ltcg_tax:.2f}")
|
| 168 |
+
st.write(f"Total Tax Liability: ₹{total_tax:.2f}")
|
| 169 |
+
st.write(f"Total Loss of loss making stockes: ₹{total_loss:.2f}")
|
| 170 |
+
|
| 171 |
+
# Add a vertical spacing for better separation
|
| 172 |
+
st.write("\n")
|
| 173 |
+
st.subheader("Suggested Stocks to Sell to Offset Gains:")
|
| 174 |
+
# Use Streamlit's dataframe for a tabular vies
|
| 175 |
+
suggested_stocks_data = {
|
| 176 |
+
'Name': [stock.name for stock in suggested_stocks],
|
| 177 |
+
'Current Price': [stock.current_price for stock in suggested_stocks],
|
| 178 |
+
'Purchase Price': [stock.purchase_price for stock in suggested_stocks]
|
| 179 |
+
}
|
| 180 |
+
|
| 181 |
+
st.dataframe(suggested_stocks_data)
|
| 182 |
+
|
| 183 |
+
st.write(f"Total Tax Liability before selling loss making stocks: ₹{total_tax:.2f}")
|
| 184 |
+
st.write(f"Adjusted Tax Liability after Selling Loss-Making Stocks and buy again: ₹{recalculated_tax:.2f}")
|
| 185 |
+
|
| 186 |
+
elif total_loss >= 0:
|
| 187 |
+
st.write(f"Total Short-Term Capital Gains: ₹{total_stcg:.2f}")
|
| 188 |
+
st.write(f"Total Long-Term Capital Gains: ₹{total_ltcg:.2f}")
|
| 189 |
+
st.write(f"Short-Term Capital Gains Tax: ₹{stcg_tax:.2f}")
|
| 190 |
+
st.write(f"Long-Term Capital Gains Tax: ₹{ltcg_tax:.2f}")
|
| 191 |
+
st.write(f"Total Tax Liability: ₹{total_tax:.2f}")
|
| 192 |
+
|
| 193 |
+
else:
|
| 194 |
+
st.write("No suggested stocks for selling to offset gains.")
|
| 195 |
+
|
| 196 |
+
|
| 197 |
+
# Ensure you have the 'calculate_total_loss' function implemented in utils.py
|
| 198 |
+
def calculate_total_loss(suggested_stocks):
|
| 199 |
+
total_loss = 0.0
|
| 200 |
+
for stock in suggested_stocks:
|
| 201 |
+
total_loss += (stock.purchase_price - stock.current_price) * stock.quantity
|
| 202 |
+
return total_loss
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