| |
|
|
| import streamlit as st |
| import pandas as pd |
| import yfinance as yf |
| import numpy as np |
| import time |
| import os |
|
|
| st.title('RSI स्कैनर - भारतीय स्टॉक्स') |
|
|
| |
| csv_file_path = 'ind_nifty500list.csv' |
|
|
| |
| if not os.path.isfile(csv_file_path): |
| st.error("स्टॉक सूची फ़ाइल नहीं मिली। कृपया 'ind_nifty500list.csv' फ़ाइल को अपलोड करें।") |
| else: |
| |
| stock_df = pd.read_csv(csv_file_path) |
|
|
| |
| required_columns = {'Symbol', 'Company Name'} |
| if not required_columns.issubset(stock_df.columns): |
| st.error(f"CSV फ़ाइल में निम्नलिखित कॉलम होने चाहिए: {required_columns}") |
| else: |
| |
| st.sidebar.header('स्कैनर सेटिंग्स') |
| period_options = ['1mo', '3mo', '6mo', '1y'] |
| selected_period = st.sidebar.selectbox('डेटा अवधि चुनें', period_options, index=2) |
|
|
| rsi_lower_threshold = st.sidebar.slider('RSI निचली सीमा', min_value=0, max_value=50, value=25) |
| rsi_upper_threshold = st.sidebar.slider('RSI ऊपरी सीमा', min_value=50, max_value=100, value=75) |
|
|
| |
| st.sidebar.header('RSI सेटिंग्स') |
| rsi_timeframe = st.sidebar.selectbox('RSI टाइमफ़्रेम चुनें', ['Daily', 'Weekly']) |
|
|
| st.write("RSI और अन्य तकनीकी संकेतकों की गणना की जा रही है। कृपया प्रतीक्षा करें...") |
|
|
| |
| progress_bar = st.progress(0) |
| total_stocks = len(stock_df) |
| stocks_rsi_below = [] |
| stocks_rsi_above = [] |
|
|
| @st.cache_data(show_spinner=False) |
| def get_stock_data(symbol, period, interval): |
| |
| return yf.download(symbol, period=period, interval=interval, progress=False) |
|
|
| @st.cache_data(show_spinner=False) |
| def get_stock_info(symbol): |
| |
| ticker = yf.Ticker(symbol) |
| info = ticker.info |
| industry = info.get('industry', 'N/A') |
| market_cap = info.get('marketCap', 'N/A') |
| return industry, market_cap |
|
|
| |
| if rsi_timeframe == 'Daily': |
| interval = '1d' |
| else: |
| interval = '1wk' |
|
|
| for idx, row in stock_df.iterrows(): |
| company_name = row['Company Name'] |
| symbol = row['Symbol'] |
| |
| if not symbol.endswith('.NS') and not symbol.endswith('.BO'): |
| symbol += '.NS' |
| try: |
| |
| data = get_stock_data(symbol, selected_period, interval) |
| if data.empty: |
| continue |
| |
| delta = data['Close'].diff() |
| up = delta.clip(lower=0) |
| down = -delta.clip(upper=0) |
| roll_up = up.rolling(window=14).mean() |
| roll_down = down.rolling(window=14).mean() |
| RS = roll_up / roll_down |
| data['RSI'] = 100.0 - (100.0 / (1.0 + RS)) |
| latest_rsi = data['RSI'].iloc[-1] |
|
|
| |
| industry, market_cap = get_stock_info(symbol) |
|
|
| |
| if market_cap != 'N/A': |
| market_cap = round(market_cap / 1e7, 2) |
|
|
| |
| if latest_rsi < rsi_lower_threshold: |
| stocks_rsi_below.append({ |
| 'Company Name': company_name, |
| 'Symbol': symbol, |
| 'Industry': industry, |
| 'Market Cap (करोड़ों में)': market_cap, |
| 'RSI': round(latest_rsi, 2) |
| }) |
| elif latest_rsi > rsi_upper_threshold: |
| stocks_rsi_above.append({ |
| 'Company Name': company_name, |
| 'Symbol': symbol, |
| 'Industry': industry, |
| 'Market Cap (करोड़ों में)': market_cap, |
| 'RSI': round(latest_rsi, 2) |
| }) |
| except Exception as e: |
| st.write(f"{symbol} के लिए त्रुटि: {e}") |
| continue |
| progress_bar.progress((idx + 1) / total_stocks) |
|
|
| |
| df_below = pd.DataFrame(stocks_rsi_below) |
| df_above = pd.DataFrame(stocks_rsi_above) |
|
|
| |
| st.sidebar.header('स्टॉक विवरण देखें') |
| all_companies = stock_df['Company Name'].tolist() |
|
|
| |
| selected_company = st.sidebar.selectbox('कंपनी चुनें', [''] + all_companies) |
|
|
| st.subheader(f"RSI {rsi_lower_threshold} से कम वाले स्टॉक्स") |
| if not df_below.empty: |
| |
| for idx, row in df_below.iterrows(): |
| st.write(f"{row['Company Name']} ({row['Symbol']}) - RSI: {row['RSI']}") |
| if st.button(f"विवरण देखें - {row['Company Name']}", key=f"below_{idx}"): |
| selected_company = row['Company Name'] |
| |
| csv_below = df_below.to_csv(index=False).encode('utf-8') |
| st.download_button( |
| label=f"RSI {rsi_lower_threshold} से कम वाले स्टॉक्स को CSV में डाउनलोड करें", |
| data=csv_below, |
| file_name=f'stocks_rsi_below_{rsi_lower_threshold}.csv', |
| mime='text/csv' |
| ) |
| else: |
| st.write("कोई स्टॉक्स नहीं मिले।") |
|
|
| st.subheader(f"RSI {rsi_upper_threshold} से अधिक वाले स्टॉक्स") |
| if not df_above.empty: |
| |
| for idx, row in df_above.iterrows(): |
| st.write(f"{row['Company Name']} ({row['Symbol']}) - RSI: {row['RSI']}") |
| if st.button(f"विवरण देखें - {row['Company Name']}", key=f"above_{idx}"): |
| selected_company = row['Company Name'] |
| |
| csv_above = df_above.to_csv(index=False).encode('utf-8') |
| st.download_button( |
| label=f"RSI {rsi_upper_threshold} से अधिक वाले स्टॉक्स को CSV में डाउनलोड करें", |
| data=csv_above, |
| file_name=f'stocks_rsi_above_{rsi_upper_threshold}.csv', |
| mime='text/csv' |
| ) |
| else: |
| st.write("कोई स्टॉक्स नहीं मिले।") |
|
|
| if selected_company: |
| symbol = stock_df.loc[stock_df['Company Name'] == selected_company, 'Symbol'].values[0] |
| if not symbol.endswith('.NS') and not symbol.endswith('.BO'): |
| symbol += '.NS' |
| data = get_stock_data(symbol, selected_period, interval) |
| if not data.empty: |
| |
| delta = data['Close'].diff() |
| up = delta.clip(lower=0) |
| down = -delta.clip(upper=0) |
| roll_up = up.rolling(window=14).mean() |
| roll_down = down.rolling(window=14).mean() |
| RS = roll_up / roll_down |
| data['RSI'] = 100.0 - (100.0 / (1.0 + RS)) |
|
|
| |
| exp1 = data['Close'].ewm(span=12, adjust=False).mean() |
| exp2 = data['Close'].ewm(span=26, adjust=False).mean() |
| data['MACD'] = exp1 - exp2 |
| data['Signal Line'] = data['MACD'].ewm(span=9, adjust=False).mean() |
|
|
| |
| data['OBV'] = (np.sign(data['Close'].diff()) * data['Volume']).fillna(0).cumsum() |
|
|
| |
| st.subheader(f"{selected_company} ({symbol}) के तकनीकी संकेतक") |
|
|
| |
| st.write("**RSI**") |
| st.line_chart(data['RSI'], height=200) |
|
|
| |
| st.write("**MACD**") |
| st.line_chart(data[['MACD', 'Signal Line']], height=200) |
|
|
| |
| st.write("**On-Balance Volume (OBV)**") |
| st.line_chart(data['OBV'], height=200) |
|
|
| |
| st.write("**डेटा टेबल**") |
| st.write(data[['Close', 'RSI', 'MACD', 'Signal Line', 'OBV']].tail(30)) |
|
|
|
|
