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| import streamlit as st | |
| from tradingview_ta import TA_Handler, Interval | |
| import yfinance as yf | |
| from datetime import datetime, timedelta | |
| from newsapi import NewsApiClient | |
| SCREENER = { | |
| "america": "United States", | |
| "forex": "Forex", | |
| "crypto": "Cryptocurrency", | |
| "indonesia": "Indonesia", | |
| "india": "India", | |
| "italy": "Italy", | |
| "cfd": "CFD", | |
| "uk": "United Kingdom", | |
| "brazil": "Brazil", | |
| "vietnam": "Vietnam", | |
| "rsa": "South Africa", | |
| "ksa": "Saudi Arabia", | |
| "australia": "Australia", | |
| "russia": "Russia", | |
| "thailand": "Thailand", | |
| "philippines": "Philippines", | |
| "taiwan": "Taiwan", | |
| "sweden": "Sweden", | |
| "france": "France", | |
| "turkey": "Turkey", | |
| "euronext": "Euronext", | |
| "germany": "Germany", | |
| "spain": "Spain", | |
| "hongkong": "Hong Kong", | |
| "korea": "South Korea", | |
| "malaysia": "Malaysia", | |
| "canada": "Canada", | |
| "crypto": "crypto", | |
| } | |
| def get_tradingview_analysis(symbol, exchange, screener, interval): | |
| try: | |
| stock = TA_Handler( | |
| symbol=symbol, | |
| screener=screener, | |
| exchange=exchange, | |
| interval=interval, | |
| ) | |
| analysis_summary = stock.get_analysis() | |
| return analysis_summary | |
| except Exception as e: | |
| return {"error": str(e)} | |
| def get_chart_data(symbol, start_date, end_date): | |
| stock_data = yf.download(symbol, start=start_date, end=end_date) | |
| return stock_data['Close'] | |
| def get_latest_news(api_key, query, language='en', count=7): | |
| newsapi = NewsApiClient(api_key=api_key) | |
| news = newsapi.get_everything(q=query, language=language, sort_by='publishedAt', page_size=count) | |
| return news['articles'] | |
| def main(): | |
| st.title("TradingView Analysis Summary") | |
| symbol = st.text_input("Enter Stock Symbol (e.g., TSLA):") | |
| exchange = st.text_input("Enter Exchange (e.g., NASDAQ):") | |
| screenerlist = list(SCREENER.values()) | |
| screener = st.selectbox("Select Screener:", screenerlist) | |
| interval_options = [ | |
| Interval.INTERVAL_1_MINUTE, | |
| Interval.INTERVAL_5_MINUTES, | |
| Interval.INTERVAL_15_MINUTES, | |
| Interval.INTERVAL_30_MINUTES, | |
| Interval.INTERVAL_1_HOUR, | |
| Interval.INTERVAL_4_HOURS, | |
| Interval.INTERVAL_1_DAY, | |
| Interval.INTERVAL_1_WEEK, | |
| Interval.INTERVAL_1_MONTH, | |
| ] | |
| interval = st.selectbox("Select Interval:", interval_options) | |
| if st.button("Get Analysis"): | |
| st.spinner("Fetching Analysis...") | |
| analysis_summary = get_tradingview_analysis( | |
| symbol=symbol, | |
| exchange=exchange, | |
| screener=screener, | |
| interval=interval, | |
| ) | |
| st.success("Analysis Fetched Successfully!") | |
| st.title("Analysis Summary") | |
| st.dataframe(analysis_summary.summary) | |
| query = f"{symbol} stock" | |
| details = { | |
| "symbol": symbol, | |
| "exchange": exchange, | |
| "screener": screener, | |
| "interval": interval, | |
| } | |
| st.title("Details") | |
| st.dataframe(details) | |
| st.title("Oscillator Analysis") | |
| st.dataframe(analysis_summary.oscillators) | |
| st.title("Moving Averages") | |
| st.dataframe(analysis_summary.moving_averages) | |
| st.title("Summary") | |
| st.dataframe(analysis_summary.summary) | |
| st.title("Indicators") | |
| st.dataframe(analysis_summary.indicators) | |
| # Latest News | |
| st.title("Latest News") | |
| api_key = 'a697bf1b28974e6bbc0f3d4813d1cb3f' | |
| news = get_latest_news(api_key, query, count=7) | |
| for article in news: | |
| st.markdown( | |
| f"### [{article['title']}]({article['url']})\n" | |
| f" {article['description']}\n \n \n" | |
| f" Source: {article['source']['name']}\n \n \n" | |
| f" Published at: {article['publishedAt']}" | |
| ) | |
| st.image(article['urlToImage'], caption=article['title'], use_column_width=True) | |
| if __name__ == "__main__": | |
| main() | |