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"""Stock Analysis Page - Comprehensive stock analysis with technical indicators."""
import streamlit as st
import sys
import os
# Add parent directory to path for imports
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from components.styles import DARK_THEME_CSS
from components.data_sources import (
load_stock_data,
load_company_profile,
load_income_statement,
calculate_technical_indicators,
get_price_metrics,
)
from components.chart import (
create_price_chart,
create_rsi_chart,
create_financial_chart,
)
from components.ui import (
display_price_metrics,
display_company_info,
display_financial_metrics,
display_income_statement,
display_profitability_metrics,
)
# ---- Page Configuration ----
st.set_page_config(
page_title="Stocks - Financial Dashboard",
page_icon="📈",
layout="wide",
initial_sidebar_state="expanded",
)
# ---- Apply Dark Theme ----
st.markdown(DARK_THEME_CSS, unsafe_allow_html=True)
# ---- Header ----
st.markdown("# 📈 Stock Analysis")
st.markdown("Real-time technical analysis with comprehensive financial metrics")
# ---- Sidebar Configuration ----
with st.sidebar:
st.markdown("## ⚙️ Settings")
symbol = st.text_input("Stock Ticker", "AAPL", help="Enter a valid stock ticker symbol").upper()
period = st.slider("Indicator Period", 5, 50, 20, help="Period for SMA, EMA, and RSI calculations")
st.markdown("---")
st.markdown("### About")
st.info("Analyze stocks with technical indicators, financials, and TradingView charts.")
def main():
"""Main stock analysis logic."""
if st.button("📊 Load Stock Data", key="load_btn", use_container_width=True):
try:
# Load data
with st.spinner("Loading data..."):
df = load_stock_data(symbol)
profile_info = load_company_profile(symbol)
income_stmt = load_income_statement(symbol)
# Calculate technical indicators
df = calculate_technical_indicators(df, period)
# Display price metrics
metrics = get_price_metrics(df)
display_price_metrics(metrics)
# Display company information
display_company_info(profile_info)
# Display financial metrics
if not income_stmt.empty:
display_financial_metrics(income_stmt)
# Financial history chart
st.markdown('<div class="section-title">📊 Revenue & Net Income Trend</div>', unsafe_allow_html=True)
income_chart_data = income_stmt[['period_ending', 'total_revenue', 'net_income']].dropna()
if len(income_chart_data) > 0:
fig_financial = create_financial_chart(income_chart_data)
st.plotly_chart(fig_financial, use_container_width=True)
# ---- Tabs ----
tab1, tab2, tab3, tab4 = st.tabs([
"📈 Price & Moving Averages",
"📊 RSI Indicator",
"📉 TradingView",
"📋 Financials"
])
# Tab 1: Price & Moving Averages
with tab1:
fig_price = create_price_chart(df, symbol, period)
st.plotly_chart(fig_price, use_container_width=True)
# Tab 2: RSI Indicator
with tab2:
fig_rsi = create_rsi_chart(df, symbol)
st.plotly_chart(fig_rsi, use_container_width=True)
# Tab 3: TradingView
with tab3:
tradingview_html = f"""
<div class="tradingview-widget-container">
<div id="tradingview_{symbol}"></div>
<script type="text/javascript" src="https://s3.tradingview.com/tv.js"></script>
<script type="text/javascript">
new TradingView.widget({{
"width": "100%",
"height": 600,
"symbol": "{symbol}",
"interval": "D",
"timezone": "Etc/UTC",
"theme": "dark",
"style": "1",
"locale": "en",
"enable_publishing": false,
"allow_symbol_change": true,
"container_id": "tradingview_{symbol}"
}});
</script>
</div>
"""
st.components.v1.html(tradingview_html, height=650)
# Tab 4: Detailed Financials
with tab4:
if not income_stmt.empty:
display_income_statement(income_stmt)
display_profitability_metrics(income_stmt)
except Exception as e:
st.error(f"Error loading data for {symbol}: {str(e)}")
st.info("Please check the ticker symbol and try again.")
if __name__ == "__main__":
main()
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