Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import plotly.graph_objects as go
+from datetime import datetime, timedelta
+import random
+
+# Page configuration
+st.set_page_config(
+    page_title="Ahsan's AI Stock Dashboard",
+    page_icon="📈",
+    layout="wide",
+    initial_sidebar_state="expanded"
+)
+
+# Custom CSS
+st.markdown("""
+<style>
+    .main-header {
+        font-size: 2.5rem;
+        background: linear-gradient(45deg, #3b82f6, #8b5cf6);
+        -webkit-background-clip: text;
+        -webkit-text-fill-color: transparent;
+        font-weight: 800;
+        margin-bottom: 1rem;
+    }
+    .card {
+        background-color: #0f172a;
+        border-radius: 10px;
+        padding: 1.5rem;
+        border: 1px solid #334155;
+        margin-bottom: 1rem;
+    }
+    .positive {
+        color: #10b981;
+        font-weight: bold;
+    }
+    .negative {
+        color: #ef4444;
+        font-weight: bold;
+    }
+    .warning {
+        color: #f59e0b;
+        font-weight: bold;
+    }
+</style>
+""", unsafe_allow_html=True)
+
+# Header
+st.markdown('<h1 class="main-header">📈 Ahsan\'s AI Stock Dashboard</h1>', unsafe_allow_html=True)
+
+# Portfolio Data
+portfolio_data = {
+    'Symbol': ['OCEA', 'KUST', 'MLGO', 'BNN', 'IRWD', 'HEIO', 'DB', 'ATYR', 'DOW', 'XLY'],
+    'Name': ['Ocean Biomedical', 'Kustom Entertainment', 'MicroAlgo Inc', 'Bollinger Innovations', 
+             'Ironwood Pharmaceuticals', 'Harvard Bioscience', 'Diedbal Cannabis', 'Aryr Pharma', 
+             'Dow Inc', 'Audy Cannabis'],
+    'Return %': [-99.07, -92.32, -87.26, -99.96, 542.70, 48.67, 41.94, -2.49, 3.88, 70.99],
+    'AI Recommendation': ['SELL', 'SELL', 'SELL', 'SELL', 'BUY', 'BUY', 'BUY', 'HOLD', 'HOLD', 'HOLD'],
+    'Confidence %': [97, 95, 93, 96, 78, 74, 68, 71, 72, 75]
+}
+
+df = pd.DataFrame(portfolio_data)
+
+# Dashboard Layout
+col1, col2, col3 = st.columns(3)
+
+with col1:
+    st.markdown('<div class="card">', unsafe_allow_html=True)
+    st.metric("Total Portfolio Value", "$9,485.94", "-$222.55")
+    st.markdown('</div>', unsafe_allow_html=True)
+    
+    st.markdown('<div class="card">', unsafe_allow_html=True)
+    st.subheader("🔴 Immediate Sell")
+    sell_df = df[df['AI Recommendation'] == 'SELL']
+    for _, row in sell_df.iterrows():
+        st.markdown(f"**{row['Symbol']}**: -{abs(row['Return %']):.2f}% (Confidence: {row['Confidence %']}%)")
+    st.markdown('</div>', unsafe_allow_html=True)
+
+with col2:
+    st.markdown('<div class="card">', unsafe_allow_html=True)
+    st.metric("Total Return", "-$9,328.80", "-49.57%")
+    st.markdown('</div>', unsafe_allow_html=True)
+    
+    st.markdown('<div class="card">', unsafe_allow_html=True)
+    st.subheader("🟢 Strong Buy")
+    buy_df = df[df['AI Recommendation'] == 'BUY']
+    for _, row in buy_df.iterrows():
+        st.markdown(f"**{row['Symbol']}**: +{row['Return %']:.2f}% (Confidence: {row['Confidence %']}%)")
+    st.markdown('</div>', unsafe_allow_html=True)
+
+with col3:
+    st.markdown('<div class="card">', unsafe_allow_html=True)
+    st.metric("Positions", "39", "7 Winning, 31 Losing")
+    st.markdown('</div>', unsafe_allow_html=True)
+    
+    st.markdown('<div class="card">', unsafe_allow_html=True)
+    st.subheader("🟡 Hold Positions")
+    hold_df = df[df['AI Recommendation'] == 'HOLD']
+    for _, row in hold_df.iterrows():
+        color_class = "positive" if row['Return %'] > 0 else "negative" if row['Return %'] < 0 else "warning"
+        st.markdown(f"**{row['Symbol']}**: <span class='{color_class}'>{row['Return %']:.2f}%</span> (Confidence: {row['Confidence %']}%)", unsafe_allow_html=True)
+    st.markdown('</div>', unsafe_allow_html=True)
+
+# Portfolio Chart
+st.markdown("---")
+st.subheader("📊 Portfolio Performance")
+
+# Generate sample chart data
+dates = pd.date_range(end=datetime.now(), periods=30, freq='D')
+values = [10000 + random.uniform(-200, 200) for _ in range(30)]
+for i in range(1, 30):
+    values[i] = values[i-1] + random.uniform(-200, 200)
+
+fig = go.Figure(data=go.Scatter(x=dates, y=values, mode='lines', name='Portfolio Value',
+                                 line=dict(color='#3b82f6', width=3)))
+fig.update_layout(
+    title="30-Day Portfolio Performance",
+    xaxis_title="Date",
+    yaxis_title="Portfolio Value ($)",
+    template="plotly_dark",
+    height=400
+)
+st.plotly_chart(fig, use_container_width=True)
+
+# 7-Day Action Plan
+st.markdown("---")
+st.subheader("📋 7-Day Action Plan")
+
+plan_cols = st.columns(4)
+action_plan = [
+    ("Days 1-2", "SELL LOSERS", "Sell OCEA, KUST, MLGO, BNN immediately"),
+    ("Day 3", "REBALANCE", "Reduce biotech from 30% to 15%"),
+    ("Days 4-5", "ADD WINNERS", "Buy more IRWD, HEIO, DB"),
+    ("Days 6-7", "MONITOR", "Set stop-loss orders, weekly review")
+]
+
+for idx, (title, action, desc) in enumerate(action_plan):
+    with plan_cols[idx]:
+        st.markdown(f'<div class="card">', unsafe_allow_html=True)
+        st.markdown(f"### {title}")
+        st.markdown(f"**{action}**")
+        st.markdown(f"<small>{desc}</small>", unsafe_allow_html=True)
+        st.markdown('</div>', unsafe_allow_html=True)
+
+# Risk Assessment
+st.markdown("---")
+col1, col2 = st.columns([2, 1])
+
+with col1:
+    st.subheader("⚠️ Risk Assessment")
+    risk_score = 85
+    st.progress(risk_score/100)
+    st.markdown(f"**Risk Level: HIGH ({risk_score}/100)**")
+    st.markdown("""
+    - 31 of 39 positions losing money
+    - Extreme concentration in speculative biotech
+    - No diversification in large-cap stocks
+    - No stop-loss protection
+    """)
+
+with col2:
+    st.subheader("🎯 Quick Actions")
+    if st.button("🚨 Sell Extreme Losers", use_container_width=True):
+        st.success("Sell orders executed for OCEA, KUST, MLGO, BNN")
+    
+    if st.button("🚀 Buy Top Performers", use_container_width=True):
+        st.success("Buy orders executed for IRWD, HEIO, DB")
+    
+    if st.button("⚖️ AI Rebalance", use_container_width=True):
+        st.success("Portfolio rebalancing initiated")
+
+# Footer
+st.markdown("---")
+st.markdown("""
+<div style="text-align: center; color: #64748b; font-size: 0.9rem;">
+    <p>💎 AI Stock Dashboard • Last Updated: {}</p>
+    <p>📈 Real-time Analysis • 39 Positions Monitored • AI Model: GPT-4 Quantum</p>
+</div>
+""".format(datetime.now().strftime("%Y-%m-%d %H:%M")), unsafe_allow_html=True)