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import streamlit as st
import pandas as pd
import warnings
from stratagy.rsi_stratagy import eqt
warnings.simplefilter(action='ignore', category=FutureWarning)
def backtest(ticker, startdate, enddate, share_qty):
try:
df = eqt(ticker, startdate, enddate, share_qty)
return df
except Exception as e:
st.error(f"Please check input stock name of date.")
def main():
st.title("RSI Backtesting App")
st.sidebar.title("Input Parameters")
default_ticker = 'MRF'
default_startdate = '2019-02-01'
default_enddate = '2023-11-28'
default_share_qty = 90
ticker = st.sidebar.text_input("Enter Ticker", default_ticker)
ticker = ticker.upper() + ".NS"
# Date picker for start date
startdate = st.sidebar.date_input("Select Start Date", pd.to_datetime(default_startdate))
# Date picker for end date
enddate = st.sidebar.date_input("Select End Date", pd.to_datetime(default_enddate))
share_qty = st.sidebar.number_input("Enter Share Quantity", value=default_share_qty)
if st.sidebar.button("Backtest"):
if startdate > enddate:
st.error("End Date must be after Start Date.")
else:
st.write("Backtesting with the following parameters:")
st.write(f"- Ticker: {ticker}")
st.write(f"- Start Date: {startdate.strftime('%Y-%m-%d')}")
st.write(f"- End Date: {enddate.strftime('%Y-%m-%d')}")
st.write(f"- Share Quantity: {share_qty}")
result_df = backtest(ticker, startdate.strftime('%Y-%m-%d'), enddate.strftime('%Y-%m-%d'), share_qty)
if result_df is not None:
# Calculate total profit and trading duration
total_profit = round(result_df['profit'].sum(), 2)
trading_duration = f"{result_df.iloc[0]['Start'].strftime('%Y-%m-%d')} to {result_df.iloc[-1]['End'].strftime('%Y-%m-%d')}"
# Display profit in green if positive, else in red
profit_color = "green" if total_profit >= 0 else "red"
st.write(f"Total Profit: <span style='color:{profit_color}'>{total_profit}₹</span>", unsafe_allow_html=True)
st.write(f"Trading Duration: {trading_duration}")
# Display backtesting results table
st.write("Backtesting Results:")
st.write(result_df)
if __name__ == "__main__":
main()
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