diff --git a/.claude/settings.local.json b/.claude/settings.local.json
index fe33c0f..0967ef4 100644
--- a/.claude/settings.local.json
+++ b/.claude/settings.local.json
@@ -1,34 +1 @@
-{
-  "permissions": {
-    "allow": [
-      "Bash(python --version && pip --version)",
-      "Bash(python3 --version 2>/dev/null || py --version 2>/dev/null || echo \"no python\")",
-      "Bash(node --version 2>/dev/null && npm --version 2>/dev/null || echo \"no node\")",
-      "Bash(where python:*)",
-      "Bash(where python3:*)",
-      "Bash(where py:*)",
-      "Bash(ls /c/Python*)",
-      "Read(//c/Users/Nolan/AppData/Local/Programs/**)",
-      "Bash(ls \"/c/Users/Nolan/AppData/Local/Programs/Python\" 2>/dev/null || echo \"not found\"\nls \"/c/Users/Nolan/AppData/Local/Microsoft/WindowsApps/\"python* 2>/dev/null || echo \"not found\")",
-      "Bash(cd \"C:/Users/Nolan/Desktop/Stock Tool\" && python -c \"import tkinter; import numpy; import pandas; import yfinance; import requests; print\\('All imports OK'\\)\" 2>&1)",
-      "Skill(update-config)"
-    ]
-  },
-  "hooks": {
-    "PostToolUse": [
-      {
-        "matcher": "Edit|Write",
-        "hooks": [
-          {
-            "type": "command",
-            "command": "cd \"C:/Users/noach/Desktop/Stock Tool/Stock Tool\" && python -m py_compile dist/stock_screener.py dist/screener_gui.py cache_builder.py api/main.py 2>&1 && echo \"[hook] SYNTAX OK\" || echo \"[hook] SYNTAX ERROR — see above\""
-          },
-          {
-            "type": "command",
-            "command": "cd \"C:/Users/noach/Desktop/Stock Tool/Stock Tool\" && python -m pytest tests/test_scoring.py -q --tb=short 2>&1 | tail -20"
-          }
-        ]
-      }
-    ]
-  }
-}
+{}
diff --git a/.github/workflows/cache_refresh.yml b/.github/workflows/cache_refresh.yml
deleted file mode 100644
index 690efea..0000000
--- a/.github/workflows/cache_refresh.yml
+++ /dev/null
@@ -1,20 +0,0 @@
-# Cache refresh is now handled by VPS cron jobs on the Hetzner server.
-# See /etc/cron.d/cache_builder on the VPS:
-#   Stable: 2am daily → /srv/stock-tool/cache_builder.py → analyst_cache, fundamentals_cache, sector_stats
-#   Beta:   3am daily → /srv/stock-tool-beta/cache_builder.py → beta_analyst_cache, beta_fundamentals_cache, beta_sector_stats
-#
-# This workflow is intentionally disabled (no triggers).
-
-name: Refresh Cache (disabled — handled by VPS cron)
-
-on:
-  workflow_dispatch:   # manual trigger only, for emergency use
-
-jobs:
-  refresh:
-    runs-on: ubuntu-latest
-    timeout-minutes: 120
-
-    steps:
-      - name: Not used
-        run: echo "Cache refresh runs on VPS. See /etc/cron.d/cache_builder."
diff --git a/.gitignore b/.gitignore
index f591f23..6b4404f 100644
Binary files a/.gitignore and b/.gitignore differ
diff --git a/build.bat b/build.bat
deleted file mode 100644
index c11cfe5..0000000
--- a/build.bat
+++ /dev/null
@@ -1,57 +0,0 @@
-@echo off
-cd /d "%~dp0"
-echo ======================================
-echo  Ultimate Investment Tool - Build EXE
-echo ======================================
-echo.
-
-echo Installing dependencies...
-python -m pip install pyinstaller matplotlib --quiet
-if errorlevel 1 (
-    echo ERROR: pip failed. Make sure Python is installed and on PATH.
-    pause
-    exit /b 1
-)
-
-echo.
-echo Copying source files from dist\ for bundling...
-copy /Y dist\screener_gui.py   screener_gui.py   >nul
-copy /Y dist\stock_screener.py stock_screener.py >nul
-
-echo Building executable...
-echo.
-
-python -m PyInstaller StockScreener.spec
-
-if errorlevel 1 (
-    echo.
-    echo BUILD FAILED. See errors above.
-    echo.
-    echo Cleaning up temporary files...
-    if exist screener_gui.py   del screener_gui.py
-    if exist stock_screener.py del stock_screener.py
-    pause
-    exit /b 1
-)
-
-echo.
-echo Cleaning up temporary source copies from project root...
-if exist screener_gui.py   del screener_gui.py
-if exist stock_screener.py del stock_screener.py
-
-echo.
-echo ======================================
-echo  SUCCESS!
-echo.
-echo  Folder: dist\
-echo    - StockScreener.exe     (distribute this)
-echo    - screener_gui.py       (distribute alongside exe)
-echo    - stock_screener.py     (distribute alongside exe)
-echo.
-echo  DO NOT distribute:
-echo    - issue_license.py      (admin only)
-echo    - supabase_schema.sql   (admin only)
-echo    - hwid.py / license_check.py / updater.py / activation_dialog.py
-echo      (these are bundled inside the exe)
-echo ======================================
-pause
diff --git a/deploy_beta.bat b/deploy_beta.bat
deleted file mode 100644
index a8c989b..0000000
--- a/deploy_beta.bat
+++ /dev/null
@@ -1,48 +0,0 @@
-@echo off
-setlocal
-
-echo ============================================================
-echo   Deploy to BETA (beta branch + /srv/stock-tool-beta on VPS)
-echo ============================================================
-echo.
-
-set /p COMMIT_MSG=Commit message:
-if "%COMMIT_MSG%"=="" (
-    echo Error: Commit message cannot be empty.
-    pause
-    exit /b 1
-)
-
-echo.
-echo [1/4] Staging all changes...
-git add -A
-
-echo [2/4] Committing...
-git commit -m "%COMMIT_MSG%"
-if errorlevel 1 (
-    echo Nothing to commit.
-    pause
-    exit /b 0
-)
-
-echo [3/4] Pushing to Gitea beta branch...
-git push gitea HEAD:beta
-if errorlevel 1 (
-    echo Push failed. Check Gitea connection.
-    pause
-    exit /b 1
-)
-
-echo [4/4] Deploying to VPS...
-ssh root@87.99.133.95 "cd /srv/stock-tool-beta && git pull origin beta && cp api/main.py /srv/api/main.py && cp health_monitor.py /srv/health_monitor.py && pm2 restart api && echo VPS beta deploy OK"
-if errorlevel 1 (
-    echo VPS deploy failed. SSH in and check manually.
-    pause
-    exit /b 1
-)
-
-echo.
-echo ============================================================
-echo   Beta deploy complete.
-echo ============================================================
-pause
diff --git a/deploy_stable.bat b/deploy_stable.bat
deleted file mode 100644
index d4510a6..0000000
--- a/deploy_stable.bat
+++ /dev/null
@@ -1,48 +0,0 @@
-@echo off
-setlocal
-
-echo ============================================================
-echo   Deploy to STABLE (main branch + /srv/stock-tool on VPS)
-echo ============================================================
-echo.
-
-set /p COMMIT_MSG=Commit message:
-if "%COMMIT_MSG%"=="" (
-    echo Error: Commit message cannot be empty.
-    pause
-    exit /b 1
-)
-
-echo.
-echo [1/4] Staging all changes...
-git add -A
-
-echo [2/4] Committing...
-git commit -m "%COMMIT_MSG%"
-if errorlevel 1 (
-    echo Nothing to commit.
-    pause
-    exit /b 0
-)
-
-echo [3/4] Pushing to Gitea main branch...
-git push gitea main
-if errorlevel 1 (
-    echo Push failed. Check Gitea connection.
-    pause
-    exit /b 1
-)
-
-echo [4/4] Deploying to VPS...
-ssh root@87.99.133.95 "cd /srv/stock-tool && git pull && cp api/main.py /srv/api/main.py && cp health_monitor.py /srv/health_monitor.py && pm2 restart api && echo VPS deploy OK"
-if errorlevel 1 (
-    echo VPS deploy failed. SSH in and check manually.
-    pause
-    exit /b 1
-)
-
-echo.
-echo ============================================================
-echo   Stable deploy complete.
-echo ============================================================
-pause
diff --git a/discord_bot/.env.example b/discord_bot/.env.example
deleted file mode 100644
index a4d49a3..0000000
--- a/discord_bot/.env.example
+++ /dev/null
@@ -1,39 +0,0 @@
-# ─── Discord ────────────────────────────────────────────────────────────────
-# Bot token from https://discord.com/developers/applications
-DISCORD_TOKEN=
-
-# Your server's ID (right-click server icon → Copy Server ID)
-GUILD_ID=
-
-# ─── Role IDs ───────────────────────────────────────────────────────────────
-# Right-click each role in Server Settings → Roles → Copy Role ID
-# User role is assigned to all subscribers; Lifetime role is also assigned for lifetime purchases
-ROLE_USER_ID=
-ROLE_LIFETIME_ID=
-
-# ─── Ticket channel IDs ─────────────────────────────────────────────────────
-# Category where ticket channels are created (right-click category → Copy ID)
-TICKET_CATEGORY_ID=
-
-# Channel where ticket open/close events are logged (right-click channel → Copy ID)
-TICKET_LOG_CHANNEL_ID=
-
-# ─── Stripe ─────────────────────────────────────────────────────────────────
-# From https://dashboard.stripe.com/apikeys
-STRIPE_SECRET_KEY=sk_live_...
-
-# From https://dashboard.stripe.com/webhooks (signing secret for this endpoint)
-STRIPE_WEBHOOK_SECRET=whsec_...
-
-# Where Stripe redirects after payment (can be a thank-you page or Discord DM link)
-STRIPE_SUCCESS_URL=https://discord.com/channels/@me
-STRIPE_CANCEL_URL=https://discord.com/channels/@me
-
-# ─── Supabase ───────────────────────────────────────────────────────────────
-SUPABASE_URL=https://yeispcpmepjelfbhfkwr.supabase.co
-SUPABASE_SERVICE_ROLE_KEY=
-
-# ─── Webhook server ─────────────────────────────────────────────────────────
-# Port the bot listens on for incoming Stripe webhook POSTs
-# Forward this via ngrok (dev) or expose via your server's firewall (prod)
-WEBHOOK_PORT=8080
diff --git a/discord_bot/bot.py b/discord_bot/bot.py
deleted file mode 100644
index f5c09dd..0000000
--- a/discord_bot/bot.py
+++ /dev/null
@@ -1,533 +0,0 @@
-#!/usr/bin/env python3
-"""
-Discord Sales & Support Bot — Ultimate Investment Tool
-=======================================================
-Features:
-  /setup  → (Admin only) Posts the persistent sales embed with Purchase &
-             Support buttons into the current channel. Run this once in your
-             read-only sales channel.
-  Purchase button → Stripe Checkout (weekly $10 / monthly $25 / lifetime $150)
-                    License key auto-generated + DM'd on successful payment
-                    Role assigned automatically in the server
-  Support button  → Modal prompts for a subject, then opens a private ticket
-                    channel with a Close button and audit log
-
-Setup: copy .env.example → .env and fill in all values before running.
-"""
-
-import asyncio
-import datetime
-import os
-import uuid
-
-import aiohttp
-from aiohttp import web
-import discord
-from discord import app_commands
-from discord.ext import commands
-import requests
-import stripe
-from dotenv import load_dotenv
-
-load_dotenv()
-
-# ─────────────────────────────────────────────────────────────────────────────
-# Configuration (all values from .env)
-# ─────────────────────────────────────────────────────────────────────────────
-DISCORD_TOKEN         = os.getenv("DISCORD_TOKEN")
-GUILD_ID              = int(os.getenv("GUILD_ID", "0"))
-STRIPE_SECRET_KEY     = os.getenv("STRIPE_SECRET_KEY")
-STRIPE_WEBHOOK_SECRET = os.getenv("STRIPE_WEBHOOK_SECRET")
-SUPABASE_URL          = os.getenv("SUPABASE_URL")
-SUPABASE_SERVICE_KEY  = os.getenv("SUPABASE_SERVICE_ROLE_KEY")
-
-# Discord IDs — right-click channel/role → Copy ID (needs Developer Mode enabled)
-TICKET_CATEGORY_ID    = int(os.getenv("TICKET_CATEGORY_ID", "0"))
-TICKET_LOG_CHANNEL_ID = int(os.getenv("TICKET_LOG_CHANNEL_ID", "0"))
-ROLE_USER_ID          = int(os.getenv("ROLE_USER_ID", "0"))
-ROLE_LIFETIME_ID      = int(os.getenv("ROLE_LIFETIME_ID", "0"))
-
-WEBHOOK_PORT          = int(os.getenv("WEBHOOK_PORT", "8080"))
-
-# Pricing tiers
-PRICES = {
-    "weekly":   {"amount": 1000,  "label": "$10 / week",    "days": 7},
-    "monthly":  {"amount": 2500,  "label": "$25 / month",   "days": 30},
-    "lifetime": {"amount": 15000, "label": "$150 lifetime", "days": None},
-}
-
-stripe.api_key = STRIPE_SECRET_KEY
-
-_SUPABASE_HEADERS = {
-    "apikey":        SUPABASE_SERVICE_KEY,
-    "Authorization": f"Bearer {SUPABASE_SERVICE_KEY}",
-    "Content-Type":  "application/json",
-    "Prefer":        "return=representation",
-}
-
-# ─────────────────────────────────────────────────────────────────────────────
-# License helpers
-# ─────────────────────────────────────────────────────────────────────────────
-
-def _generate_key() -> str:
-    parts = [uuid.uuid4().hex[:8].upper() for _ in range(3)]
-    return "UIT-" + "-".join(parts)
-
-
-def issue_license(tier: str, notes: str = "") -> str:
-    """Create a new license in Supabase and return the key."""
-    days   = PRICES[tier]["days"]
-    expiry = None
-    if days is not None:
-        expiry = (datetime.datetime.utcnow() + datetime.timedelta(days=days)).isoformat() + "Z"
-
-    key = _generate_key()
-    payload = {
-        "license_key":      key,
-        "tier":             tier,
-        "expiry_date":      expiry,
-        "active":           True,
-        "machines_allowed": 1,
-        "notes":            notes,
-    }
-    resp = requests.post(
-        f"{SUPABASE_URL}/rest/v1/licenses",
-        headers=_SUPABASE_HEADERS,
-        json=payload,
-        timeout=10,
-    )
-    resp.raise_for_status()
-    return key
-
-
-# ─────────────────────────────────────────────────────────────────────────────
-# Stripe helpers
-# ─────────────────────────────────────────────────────────────────────────────
-
-def create_checkout_session(tier: str, discord_user_id: str, discord_username: str) -> str:
-    """Create a Stripe Checkout Session and return its URL."""
-    price_info = PRICES[tier]
-    session = stripe.checkout.Session.create(
-        payment_method_types=["card"],
-        line_items=[{
-            "price_data": {
-                "currency": "usd",
-                "unit_amount": price_info["amount"],
-                "product_data": {
-                    "name": f"Ultimate Investment Tool — {price_info['label']}",
-                },
-            },
-            "quantity": 1,
-        }],
-        mode="payment",
-        success_url=os.getenv("STRIPE_SUCCESS_URL", "https://discord.com/channels/@me"),
-        cancel_url=os.getenv("STRIPE_CANCEL_URL",  "https://discord.com/channels/@me"),
-        metadata={
-            "discord_user_id":  discord_user_id,
-            "discord_username": discord_username,
-            "tier":             tier,
-        },
-    )
-    return session.url
-
-
-# ─────────────────────────────────────────────────────────────────────────────
-# Bot setup
-# ─────────────────────────────────────────────────────────────────────────────
-
-intents = discord.Intents.default()
-intents.members = True
-bot  = commands.Bot(command_prefix="!", intents=intents)
-tree = bot.tree
-
-
-# ─────────────────────────────────────────────────────────────────────────────
-# Ticket creation helper (shared by button and any future commands)
-# ─────────────────────────────────────────────────────────────────────────────
-
-async def create_ticket(interaction: discord.Interaction, subject: str):
-    guild    = interaction.guild
-    category = guild.get_channel(TICKET_CATEGORY_ID)
-
-    overwrites = {
-        guild.default_role: discord.PermissionOverwrite(view_channel=False),
-        interaction.user: discord.PermissionOverwrite(
-            view_channel=True,
-            send_messages=True,
-            read_message_history=True,
-        ),
-    }
-
-    for role in guild.roles:
-        if role.permissions.administrator or role.permissions.manage_channels:
-            overwrites[role] = discord.PermissionOverwrite(
-                view_channel=True,
-                send_messages=True,
-                read_message_history=True,
-                manage_channels=True,
-            )
-
-    safe_name    = "".join(c for c in interaction.user.name if c.isalnum() or c in "-_")[:20]
-    channel_name = f"ticket-{safe_name}"
-
-    if category:
-        existing = discord.utils.get(category.text_channels, name=channel_name)
-        if existing:
-            await interaction.followup.send(
-                f"You already have an open ticket: {existing.mention}\n"
-                "Please use that channel or close it before opening a new one.",
-                ephemeral=True,
-            )
-            return
-
-    channel = await guild.create_text_channel(
-        name=channel_name,
-        category=category,
-        overwrites=overwrites,
-        topic=f"Ticket by {interaction.user} ({interaction.user.id}) | {subject}",
-    )
-
-    embed = discord.Embed(
-        title=f"Support Ticket — {subject}",
-        description=(
-            f"Welcome {interaction.user.mention}!\n\n"
-            "Please describe your issue in as much detail as possible.\n"
-            "A staff member will be with you shortly.\n\n"
-            "Press **🔒 Close Ticket** when your issue is resolved."
-        ),
-        color=discord.Color.blurple(),
-        timestamp=discord.utils.utcnow(),
-    )
-    embed.set_footer(text=str(interaction.user), icon_url=interaction.user.display_avatar.url)
-    await channel.send(embed=embed, view=TicketCloseView())
-
-    log_channel = guild.get_channel(TICKET_LOG_CHANNEL_ID)
-    if log_channel:
-        log_embed = discord.Embed(
-            title="Ticket Opened",
-            description=(
-                f"**User:** {interaction.user.mention} (`{interaction.user.id}`)\n"
-                f"**Channel:** {channel.mention}\n"
-                f"**Subject:** {subject}"
-            ),
-            color=discord.Color.green(),
-            timestamp=discord.utils.utcnow(),
-        )
-        await log_channel.send(embed=log_embed)
-
-    await interaction.followup.send(
-        f"Your ticket has been created: {channel.mention}", ephemeral=True
-    )
-
-
-# ─────────────────────────────────────────────────────────────────────────────
-# Persistent Views (survive bot restarts)
-# ─────────────────────────────────────────────────────────────────────────────
-
-class TicketCloseView(discord.ui.View):
-    """Close button that lives permanently in ticket channels."""
-
-    def __init__(self):
-        super().__init__(timeout=None)
-
-    @discord.ui.button(
-        label="🔒 Close Ticket",
-        style=discord.ButtonStyle.danger,
-        custom_id="ticket_close",
-    )
-    async def close_ticket(self, interaction: discord.Interaction, button: discord.ui.Button):
-        channel = interaction.channel
-        guild   = interaction.guild
-
-        await interaction.response.send_message(
-            f"Ticket closed by {interaction.user.mention}. Channel will be deleted in 5 seconds.",
-            ephemeral=False,
-        )
-
-        log_channel = guild.get_channel(TICKET_LOG_CHANNEL_ID)
-        if log_channel:
-            embed = discord.Embed(
-                title="Ticket Closed",
-                description=(
-                    f"**Channel:** {channel.name}\n"
-                    f"**Closed by:** {interaction.user.mention}\n"
-                    f"**Topic:** {channel.topic or 'N/A'}"
-                ),
-                color=discord.Color.red(),
-                timestamp=discord.utils.utcnow(),
-            )
-            await log_channel.send(embed=embed)
-
-        await asyncio.sleep(5)
-        await channel.delete(reason=f"Ticket closed by {interaction.user}")
-
-
-class TierSelectView(discord.ui.View):
-    """Three buttons for selecting a pricing tier — shown ephemerally after clicking Purchase."""
-
-    def __init__(self):
-        super().__init__(timeout=120)
-
-    async def _handle(self, interaction: discord.Interaction, tier: str):
-        await interaction.response.defer(ephemeral=True, thinking=True)
-        try:
-            url = create_checkout_session(
-                tier,
-                str(interaction.user.id),
-                str(interaction.user),
-            )
-            price_label = PRICES[tier]["label"]
-            embed = discord.Embed(
-                title="Complete Your Purchase",
-                description=(
-                    f"You selected the **{price_label}** plan.\n\n"
-                    f"[**→ Pay securely via Stripe**]({url})\n\n"
-                    "Your license key will be **DM'd to you instantly** after payment.\n"
-                    "The checkout link is valid for **24 hours**."
-                ),
-                color=discord.Color.green(),
-            )
-            embed.set_footer(text="Powered by Stripe — we never store your card details.")
-            await interaction.followup.send(embed=embed, ephemeral=True)
-        except Exception as exc:
-            await interaction.followup.send(
-                f"❌ Could not create a checkout session. Please try again later.\n`{exc}`",
-                ephemeral=True,
-            )
-
-    @discord.ui.button(label="$10 / Week",    style=discord.ButtonStyle.primary, custom_id="buy_weekly")
-    async def weekly(self, interaction: discord.Interaction, button: discord.ui.Button):
-        await self._handle(interaction, "weekly")
-
-    @discord.ui.button(label="$25 / Month",   style=discord.ButtonStyle.primary, custom_id="buy_monthly")
-    async def monthly(self, interaction: discord.Interaction, button: discord.ui.Button):
-        await self._handle(interaction, "monthly")
-
-    @discord.ui.button(label="$150 Lifetime", style=discord.ButtonStyle.success, custom_id="buy_lifetime")
-    async def lifetime(self, interaction: discord.Interaction, button: discord.ui.Button):
-        await self._handle(interaction, "lifetime")
-
-
-class TicketModal(discord.ui.Modal, title="Open a Support Ticket"):
-    """Modal that collects a subject before creating the ticket channel."""
-
-    subject = discord.ui.TextInput(
-        label="Subject",
-        placeholder="Brief description of your issue",
-        max_length=100,
-        required=True,
-    )
-
-    async def on_submit(self, interaction: discord.Interaction):
-        await interaction.response.defer(ephemeral=True, thinking=True)
-        await create_ticket(interaction, self.subject.value)
-
-
-class SalesView(discord.ui.View):
-    """
-    Persistent view with Purchase and Support buttons.
-    Posted once by /setup into the read-only sales channel.
-    """
-
-    def __init__(self):
-        super().__init__(timeout=None)
-
-    @discord.ui.button(
-        label="Purchase",
-        style=discord.ButtonStyle.success,
-        custom_id="sales_purchase",
-        emoji="🛒",
-    )
-    async def purchase(self, interaction: discord.Interaction, button: discord.ui.Button):
-        embed = discord.Embed(
-            title="Ultimate Investment Tool — Pricing",
-            description=(
-                "Select a tier below. Payment is handled securely via **Stripe**.\n"
-                "Your license key will be delivered to your **DMs** the moment payment clears."
-            ),
-            color=discord.Color.gold(),
-        )
-        embed.add_field(name="Weekly",   value="**$10** / 7 days",   inline=True)
-        embed.add_field(name="Monthly",  value="**$25** / 30 days",  inline=True)
-        embed.add_field(name="Lifetime", value="**$150** one-time",  inline=True)
-        embed.set_footer(text="Having trouble? Click the Support button to open a ticket.")
-        await interaction.response.send_message(embed=embed, view=TierSelectView(), ephemeral=True)
-
-    @discord.ui.button(
-        label="Support",
-        style=discord.ButtonStyle.secondary,
-        custom_id="sales_support",
-        emoji="🎫",
-    )
-    async def support(self, interaction: discord.Interaction, button: discord.ui.Button):
-        await interaction.response.send_modal(TicketModal())
-
-
-# ─────────────────────────────────────────────────────────────────────────────
-# Admin slash command — post the sales embed
-# ─────────────────────────────────────────────────────────────────────────────
-
-@tree.command(name="setup", description="Post the sales & support embed (admin only)")
-@app_commands.checks.has_permissions(administrator=True)
-async def setup(interaction: discord.Interaction):
-    embed = discord.Embed(
-        title="Ultimate Investment Tool",
-        description=(
-            "Click on the **Purchase** button to purchase a license. "
-            "Click on the **Support** button to create a support ticket. "
-            "Support tickets are checked by our staff, and can take time to get a response. "
-            "Please be patient when waiting for staff to respond."
-        ),
-        color=discord.Color.gold(),
-    )
-    await interaction.channel.send(embed=embed, view=SalesView())
-    await interaction.response.send_message("Sales embed posted.", ephemeral=True)
-
-
-@setup.error
-async def setup_error(interaction: discord.Interaction, error: app_commands.AppCommandError):
-    if isinstance(error, app_commands.MissingPermissions):
-        await interaction.response.send_message(
-            "You need Administrator permission to use this command.", ephemeral=True
-        )
-
-
-# ─────────────────────────────────────────────────────────────────────────────
-# On-ready
-# ─────────────────────────────────────────────────────────────────────────────
-
-@bot.event
-async def on_ready():
-    # Re-register all persistent views so buttons work after restarts
-    bot.add_view(SalesView())
-    bot.add_view(TicketCloseView())
-
-    # Sync slash commands to the guild instantly (no 1-hour global wait)
-    guild_obj = discord.Object(id=GUILD_ID)
-    tree.copy_global_to(guild=guild_obj)
-    await tree.sync(guild=guild_obj)
-
-    print(f"[Bot] Online as {bot.user}  |  Guild {GUILD_ID}  |  Slash commands synced")
-
-
-# ─────────────────────────────────────────────────────────────────────────────
-# Stripe webhook (aiohttp server on WEBHOOK_PORT)
-# ─────────────────────────────────────────────────────────────────────────────
-
-async def _handle_stripe_webhook(request: web.Request) -> web.Response:
-    payload    = await request.read()
-    sig_header = request.headers.get("stripe-signature", "")
-
-    try:
-        event = stripe.Webhook.construct_event(payload, sig_header, STRIPE_WEBHOOK_SECRET)
-    except stripe.error.SignatureVerificationError:
-        print("[Webhook] Invalid Stripe signature — request rejected")
-        return web.Response(status=400, text="Invalid signature")
-    except Exception as exc:
-        print(f"[Webhook] Error parsing event: {exc}")
-        return web.Response(status=400, text=str(exc))
-
-    if event["type"] == "checkout.session.completed":
-        session  = event["data"]["object"]
-        metadata = session.get("metadata", {})
-
-        discord_user_id  = metadata.get("discord_user_id")
-        discord_username = metadata.get("discord_username", "Unknown")
-        tier             = metadata.get("tier")
-
-        if not discord_user_id or tier not in PRICES:
-            print(f"[Webhook] Missing/invalid metadata: {metadata}")
-            return web.Response(status=200, text="OK")
-
-        # 1. Issue license in Supabase
-        try:
-            key = issue_license(
-                tier,
-                notes=f"Discord: {discord_username} ({discord_user_id})",
-            )
-            print(f"[License] Issued {key} ({tier}) for Discord user {discord_user_id}")
-        except Exception as exc:
-            print(f"[License] Failed to issue for {discord_user_id}: {exc}")
-            return web.Response(status=500, text="License issuance failed")
-
-        # 2. DM the license key to the buyer
-        price_info = PRICES[tier]
-        expiry_str = (
-            "Never (lifetime)"
-            if price_info["days"] is None
-            else f"{price_info['days']} days from today"
-        )
-        try:
-            user = await bot.fetch_user(int(discord_user_id))
-            embed = discord.Embed(
-                title="🎉 Purchase Confirmed — Ultimate Investment Tool",
-                description=(
-                    f"Thank you for your purchase!\n\n"
-                    f"**Your License Key:**\n```\n{key}\n```\n"
-                    f"**Plan:** {price_info['label']}\n"
-                    f"**Expires:** {expiry_str}\n\n"
-                    "Paste this key into the application when prompted.\n"
-                    "⚠️ This key is locked to one machine — keep it private."
-                ),
-                color=discord.Color.green(),
-            )
-            embed.set_footer(text="Need help? Click the Support button in the server.")
-            await user.send(embed=embed)
-            print(f"[Bot] License DM'd to {discord_username} ({discord_user_id})")
-        except discord.Forbidden:
-            print(f"[Bot] Cannot DM {discord_user_id} — DMs may be disabled.")
-        except Exception as exc:
-            print(f"[Bot] DM error for {discord_user_id}: {exc}")
-
-        # 3. Assign roles in the guild
-        try:
-            guild = bot.get_guild(GUILD_ID)
-            if guild:
-                member       = await guild.fetch_member(int(discord_user_id))
-                roles_to_add = []
-
-                user_role = guild.get_role(ROLE_USER_ID)
-                if user_role:
-                    roles_to_add.append(user_role)
-
-                if tier == "lifetime":
-                    lifetime_role = guild.get_role(ROLE_LIFETIME_ID)
-                    if lifetime_role:
-                        roles_to_add.append(lifetime_role)
-
-                if roles_to_add:
-                    await member.add_roles(*roles_to_add, reason=f"Purchased {tier} via Stripe")
-                    names = ", ".join(r.name for r in roles_to_add)
-                    print(f"[Bot] Assigned roles '{names}' to {discord_username}")
-                else:
-                    print(f"[Bot] No valid roles found to assign")
-        except discord.NotFound:
-            print(f"[Bot] Member {discord_user_id} not found in guild (may have left)")
-        except Exception as exc:
-            print(f"[Bot] Role assignment error for {discord_user_id}: {exc}")
-
-    return web.Response(status=200, text="OK")
-
-
-async def _start_webhook_server():
-    app = web.Application()
-    app.router.add_post("/stripe/webhook", _handle_stripe_webhook)
-    runner = web.AppRunner(app)
-    await runner.setup()
-    site = web.TCPSite(runner, "0.0.0.0", WEBHOOK_PORT)
-    await site.start()
-    print(f"[Webhook] Stripe webhook server listening on :{WEBHOOK_PORT}/stripe/webhook")
-
-
-# ─────────────────────────────────────────────────────────────────────────────
-# Entry point
-# ─────────────────────────────────────────────────────────────────────────────
-
-async def main():
-    async with bot:
-        await _start_webhook_server()
-        await bot.start(DISCORD_TOKEN)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
diff --git a/discord_bot/requirements.txt b/discord_bot/requirements.txt
deleted file mode 100644
index 22991a4..0000000
--- a/discord_bot/requirements.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-discord.py>=2.3.0
-stripe>=7.0.0
-aiohttp>=3.9.0
-requests>=2.31.0
-python-dotenv>=1.0.0
diff --git a/dist/screener_gui.py b/dist/screener_gui.py
index 020cb02..96eadb2 100644
--- a/dist/screener_gui.py
+++ b/dist/screener_gui.py
@@ -2055,6 +2055,12 @@ class ScreenerPage(QWidget):
         self._df_raw       = df_raw
         self._df           = df_scored
         self._sector_stats = sector_stats
+        try:
+            with open(_lp2, "a") as _lf2b:
+                from datetime import datetime as _dt2b
+                _lf2b.write(f"[{_dt2b.now().strftime('%H:%M:%S')}] _on_done: df_scored={'None' if df_scored is None else len(df_scored)}, self._df={'None' if self._df is None else 'set'}\n")
+        except Exception:
+            pass
         self._progress.setValue(100)
         self._status_lbl.setText(f"  Done — {total} stocks scored.")
         self._apply_filters()
@@ -2083,15 +2089,41 @@ class ScreenerPage(QWidget):
         self._progress.hide()
 
     def _apply_filters(self):
-        if self._df is None: return
+        import os as _os4, traceback as _tb4
+        _lp4 = _os4.path.join(_os4.environ.get("TEMP", _os4.path.expanduser("~")), "screener_run.log")
+        def _log4(msg):
+            try:
+                with open(_lp4, "a") as _lf4:
+                    from datetime import datetime as _dt4
+                    _lf4.write(f"[{_dt4.now().strftime('%H:%M:%S')}] AF: {msg}\n")
+            except Exception:
+                pass
+        _log4(f"called, self._df={'None' if self._df is None else len(self._df)}")
+        if self._df is None:
+            _log4("returning early — df is None")
+            return
         try:
             self._apply_filters_inner()
+            _log4("inner completed OK")
         except Exception as exc:
-            import traceback
-            QMessageBox.critical(self, "Display Error",
-                f"Failed to display results:\n\n{traceback.format_exc()}")
+            _log4(f"EXCEPTION: {_tb4.format_exc()}")
+            try:
+                QMessageBox.critical(self, "Display Error",
+                    f"Failed to display results:\n\n{_tb4.format_exc()}")
+            except Exception as e2:
+                _log4(f"QMessageBox also failed: {e2}")
 
     def _apply_filters_inner(self):
+        import os as _os3
+        _lp3 = _os3.path.join(_os3.environ.get("TEMP", _os3.path.expanduser("~")), "screener_run.log")
+        def _log3(msg):
+            try:
+                with open(_lp3, "a") as _lf3:
+                    from datetime import datetime as _dt3
+                    _lf3.write(f"[{_dt3.now().strftime('%H:%M:%S')}] AFI: {msg}\n")
+            except Exception:
+                pass
+        _log3(f"start, df={None if self._df is None else len(self._df)} rows")
         df = self._df
         rule = _SECTOR_FILTER_MAP.get(self._sector_cb.currentText())
         if rule:
@@ -2152,7 +2184,9 @@ class ScreenerPage(QWidget):
         elif sort_by == "Upside ↓" and "analyst_upside" in df.columns:
             df = df.sort_values("analyst_upside", ascending=False, na_position="last")
 
+        _log3(f"calling populate with {len(df)} rows")
         self._table.populate(df)
+        _log3("populate done")
         n = len(df)
         self._status_lbl.setText(f"  Showing {n} stocks. Click a ticker to see details.")
 
@@ -2925,6 +2959,11 @@ def main():
     app.setStyleSheet(_QSS)
     win = ScreenerApp()
     win.show()
+    # Force window onto primary screen
+    primary = app.primaryScreen()
+    geo = primary.availableGeometry()
+    win.move(geo.x() + (geo.width() - win.width()) // 2,
+             geo.y() + (geo.height() - win.height()) // 2)
     sys.exit(app.exec())
 
 
diff --git a/dist/stock_screener.py b/dist/stock_screener.py
index 30c2949..6c47852 100644
--- a/dist/stock_screener.py
+++ b/dist/stock_screener.py
@@ -27,6 +27,7 @@ FORMULA (Composite Score):
 
 import argparse
 import html
+import os
 import random
 import re
 import sys
diff --git a/dist/update_error.log b/dist/update_error.log
deleted file mode 100644
index b9497ec..0000000
--- a/dist/update_error.log
+++ /dev/null
@@ -1,2 +0,0 @@
-[2026-03-16 14:10:05] No rows returned for channel=beta
-[2026-03-16 14:18:03] RPC response for channel=beta: version=1.1.4, exe_url=present
diff --git a/health_monitor.py b/health_monitor.py
deleted file mode 100644
index 449f66c..0000000
--- a/health_monitor.py
+++ /dev/null
@@ -1,391 +0,0 @@
-"""
-Health Monitor
-==============
-Runs every 5 minutes via cron. Checks processes, resources, SSL, cache logs,
-and runs nightly database backups. Alerts via Discord webhook on any failure.
-Auto-fixes safe/known issues (Tier 1). Alerts and waits for human decision on
-everything else (Tier 2/3).
-
-Deploy to: /srv/health_monitor.py
-Cron entry (/etc/cron.d/health_monitor):
-    */5 * * * *  root  python3 /srv/health_monitor.py >> /var/log/health_monitor.log 2>&1
-
-Secrets loaded from /srv/api/.env:
-    DISCORD_WEBHOOK=https://discord.com/api/webhooks/...
-    DB_PASS=...
-"""
-
-import json
-import os
-import shutil
-import subprocess
-import time
-from datetime import datetime, timezone
-from pathlib import Path
-
-from dotenv import load_dotenv
-
-load_dotenv("/srv/api/.env")
-
-# ---------------------------------------------------------------------------
-# Config
-# ---------------------------------------------------------------------------
-DISCORD_WEBHOOK   = os.getenv("DISCORD_WEBHOOK", "")
-DB_PASS           = os.getenv("DB_PASS", "Shlevison2k17")
-DB_USER           = "verimund_user"
-DB_NAME           = "verimund"
-BACKUP_DIR        = Path("/srv/backups/db")
-BACKUP_KEEP_DAYS  = 7
-LOG_DIR           = Path("/var/log")
-STATE_FILE        = Path("/srv/health_monitor_state.json")
-
-DISK_WARN_PCT     = 80
-RAM_WARN_PCT      = 90
-CPU_WARN_PCT      = 90
-SSL_WARN_DAYS     = 14
-DOMAINS           = [
-    "verimundsolutions.com",
-    "api.verimundsolutions.com",
-    "git.verimundsolutions.com",
-    "admin.verimundsolutions.com",
-]
-CACHE_LOGS = {
-    "stable": LOG_DIR / "cache_builder_stable.log",
-    "beta":   LOG_DIR / "cache_builder_beta.log",
-}
-
-
-# ---------------------------------------------------------------------------
-# State (tracks last daily/weekly run so we don't repeat within the window)
-# ---------------------------------------------------------------------------
-
-def _load_state() -> dict:
-    if STATE_FILE.exists():
-        try:
-            return json.loads(STATE_FILE.read_text())
-        except Exception:
-            pass
-    return {}
-
-
-def _save_state(state: dict) -> None:
-    STATE_FILE.write_text(json.dumps(state, indent=2))
-
-
-def _should_run(state: dict, key: str, interval_seconds: int) -> bool:
-    last = state.get(key, 0)
-    return (time.time() - last) >= interval_seconds
-
-
-def _mark_run(state: dict, key: str) -> None:
-    state[key] = time.time()
-
-
-# ---------------------------------------------------------------------------
-# Discord alerts
-# ---------------------------------------------------------------------------
-
-def alert(message: str, tier: int = 2) -> None:
-    """Send a Discord webhook message. Never raises — alerting must not crash the monitor."""
-    prefix = {1: "✅ [AUTO-FIXED]", 2: "⚠ [TIER 2]", 3: "🚨 [TIER 3 — ACTION REQUIRED]"}.get(tier, "ℹ")
-    full = f"{prefix} {message}"
-    print(full, flush=True)
-    if not DISCORD_WEBHOOK:
-        return
-    try:
-        import urllib.request
-        payload = json.dumps({"content": full}).encode()
-        req = urllib.request.Request(
-            DISCORD_WEBHOOK,
-            data=payload,
-            headers={"Content-Type": "application/json", "User-Agent": "DiscordBot (https://verimundsolutions.com, 1.0)"},
-            method="POST",
-        )
-        urllib.request.urlopen(req, timeout=10)
-    except Exception as e:
-        print(f"  [alert] Discord send failed: {e}", flush=True)
-
-
-def log(message: str) -> None:
-    print(f"[{datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M:%S')} UTC] {message}", flush=True)
-
-
-# ---------------------------------------------------------------------------
-# Process checks
-# ---------------------------------------------------------------------------
-
-def _pm2_list() -> list[str]:
-    """Return list of PM2 process names that are 'online'."""
-    try:
-        out = subprocess.check_output(
-            ["pm2", "jlist"], stderr=subprocess.DEVNULL, text=True
-        )
-        procs = json.loads(out)
-        return [p["name"] for p in procs if p.get("pm2_env", {}).get("status") == "online"]
-    except Exception:
-        return []
-
-
-def check_processes() -> None:
-    log("Checking processes...")
-
-    # Nginx
-    r = subprocess.run(["systemctl", "is-active", "nginx"], capture_output=True, text=True)
-    if r.stdout.strip() != "active":
-        subprocess.run(["systemctl", "start", "nginx"], capture_output=True)
-        alert("Nginx was down — restarted.", tier=1)
-
-    # PostgreSQL
-    r = subprocess.run(["systemctl", "is-active", "postgresql"], capture_output=True, text=True)
-    if r.stdout.strip() != "active":
-        subprocess.run(["systemctl", "start", "postgresql"], capture_output=True)
-        alert("PostgreSQL was down — restarted.", tier=1)
-
-    # PM2 itself
-    r = subprocess.run(["systemctl", "is-active", "pm2-root"], capture_output=True, text=True)
-    if r.stdout.strip() != "active":
-        subprocess.run(["systemctl", "start", "pm2-root"], capture_output=True)
-        alert("PM2 service was down — restarted.", tier=1)
-
-    # PM2-managed processes
-    online = _pm2_list()
-    for name in ("api",):
-        if name not in online:
-            subprocess.run(["pm2", "restart", name], capture_output=True)
-            alert(f"PM2 process '{name}' was down — restarted.", tier=1)
-
-    # API health check (HTTP)
-    try:
-        import urllib.request
-        urllib.request.urlopen("http://127.0.0.1:8000/docs", timeout=5)
-    except Exception:
-        subprocess.run(["pm2", "restart", "api"], capture_output=True)
-        alert("API server not responding on port 8000 — restarted via PM2.", tier=1)
-
-
-# ---------------------------------------------------------------------------
-# Resource checks
-# ---------------------------------------------------------------------------
-
-def check_resources() -> None:
-    log("Checking resources...")
-
-    # Disk
-    usage = shutil.disk_usage("/")
-    pct = usage.used / usage.total * 100
-    if pct >= DISK_WARN_PCT:
-        _clean_old_logs()
-        # Re-check after cleanup
-        usage = shutil.disk_usage("/")
-        pct = usage.used / usage.total * 100
-        if pct >= DISK_WARN_PCT:
-            alert(
-                f"Disk usage is {pct:.1f}% after auto-cleanup. Manual intervention may be needed.",
-                tier=3 if pct >= 90 else 2,
-            )
-        else:
-            alert(f"Disk was {pct:.1f}% — old logs cleaned, now {pct:.1f}%.", tier=1)
-
-    # RAM
-    with open("/proc/meminfo") as f:
-        lines = {line.split(":")[0]: int(line.split()[1]) for line in f if ":" in line}
-    total = lines.get("MemTotal", 1)
-    avail = lines.get("MemAvailable", 1)
-    ram_pct = (total - avail) / total * 100
-    if ram_pct >= RAM_WARN_PCT:
-        alert(f"RAM usage is {ram_pct:.1f}% ({(total - avail) // 1024} MB used of {total // 1024} MB).", tier=2)
-
-    # CPU (1-minute load average vs core count)
-    load1 = os.getloadavg()[0]
-    cores = os.cpu_count() or 1
-    cpu_pct = load1 / cores * 100
-    if cpu_pct >= CPU_WARN_PCT:
-        alert(f"CPU load is {cpu_pct:.1f}% (load avg {load1:.2f} on {cores} cores).", tier=2)
-
-
-def _clean_old_logs() -> None:
-    """Delete log files older than 30 days to free disk space."""
-    now = time.time()
-    cutoff = now - 30 * 86400
-    cleaned = 0
-    for path in LOG_DIR.glob("*.log*"):
-        if path.stat().st_mtime < cutoff:
-            try:
-                path.unlink()
-                cleaned += 1
-            except Exception:
-                pass
-    if cleaned:
-        log(f"  Cleaned {cleaned} old log file(s).")
-
-
-# ---------------------------------------------------------------------------
-# SSL certificate checks (daily)
-# ---------------------------------------------------------------------------
-
-def check_ssl(state: dict) -> None:
-    if not _should_run(state, "ssl_check", 86400):
-        return
-    log("Checking SSL certificates...")
-    _mark_run(state, "ssl_check")
-
-    for domain in DOMAINS:
-        try:
-            r = subprocess.run(
-                ["certbot", "certificates", "--domain", domain],
-                capture_output=True, text=True,
-            )
-            for line in r.stdout.splitlines():
-                if "VALID:" in line:
-                    days = int(line.split("VALID:")[1].split("day")[0].strip())
-                    if days <= SSL_WARN_DAYS:
-                        log(f"  SSL for {domain} expires in {days} days — renewing...")
-                        result = subprocess.run(
-                            ["certbot", "renew", "--cert-name", domain, "--non-interactive"],
-                            capture_output=True, text=True,
-                        )
-                        if result.returncode == 0:
-                            alert(f"SSL cert for {domain} renewed ({days} days remaining).", tier=1)
-                        else:
-                            alert(
-                                f"SSL cert for {domain} expires in {days} days but renewal FAILED.\n"
-                                f"```{result.stderr[-500:]}```",
-                                tier=3,
-                            )
-        except Exception as e:
-            log(f"  SSL check failed for {domain}: {e}")
-
-
-# ---------------------------------------------------------------------------
-# Cache log checks (daily)
-# ---------------------------------------------------------------------------
-
-def check_cache_logs(state: dict) -> None:
-    if not _should_run(state, "cache_log_check", 86400):
-        return
-    log("Checking cache builder logs...")
-    _mark_run(state, "cache_log_check")
-
-    for channel, log_path in CACHE_LOGS.items():
-        if not log_path.exists():
-            continue
-        try:
-            content = log_path.read_text(errors="replace")
-            lines = content.splitlines()
-            recent = "\n".join(lines[-50:])
-
-            if "Traceback" in recent or "Error" in recent:
-                alert(
-                    f"Cache builder ({channel}) log contains errors:\n```{recent[-800:]}```",
-                    tier=2,
-                )
-            elif "0 rows" in recent or "0 tickers" in recent.lower():
-                alert(
-                    f"Cache builder ({channel}) may have produced 0 rows:\n```{recent[-800:]}```",
-                    tier=2,
-                )
-        except Exception as e:
-            log(f"  Could not read cache log for {channel}: {e}")
-
-
-# ---------------------------------------------------------------------------
-# Database backup (daily)
-# ---------------------------------------------------------------------------
-
-def run_backup(state: dict) -> None:
-    if not _should_run(state, "db_backup", 86400):
-        return
-    log("Running database backup...")
-    _mark_run(state, "db_backup")
-
-    BACKUP_DIR.mkdir(parents=True, exist_ok=True)
-    date_str = datetime.now(timezone.utc).strftime("%Y-%m-%d")
-    out_path = BACKUP_DIR / f"verimund_{date_str}.sql.gz"
-
-    env = os.environ.copy()
-    env["PGPASSWORD"] = DB_PASS
-
-    dump = subprocess.run(
-        ["pg_dump", "-U", DB_USER, "-h", "127.0.0.1", DB_NAME],
-        capture_output=True, env=env,
-    )
-    if dump.returncode != 0:
-        alert(
-            f"pg_dump failed:\n```{dump.stderr.decode()[-500:]}```",
-            tier=3,
-        )
-        return
-
-    import gzip
-    with gzip.open(out_path, "wb") as f:
-        f.write(dump.stdout)
-
-    size_mb = out_path.stat().st_size / 1024 / 1024
-    log(f"  Backup written: {out_path} ({size_mb:.1f} MB)")
-
-    # Sync to R2 if rclone is configured
-    r = subprocess.run(
-        ["rclone", "sync", str(BACKUP_DIR), "r2:verimund-backups/db/"],
-        capture_output=True, text=True,
-    )
-    if r.returncode != 0:
-        alert(f"rclone sync to R2 failed:\n```{r.stderr[-400:]}```", tier=2)
-    else:
-        log("  R2 sync complete.")
-
-    # Remove backups older than BACKUP_KEEP_DAYS
-    cutoff = time.time() - BACKUP_KEEP_DAYS * 86400
-    for f in BACKUP_DIR.glob("verimund_*.sql.gz"):
-        if f.stat().st_mtime < cutoff:
-            f.unlink()
-            log(f"  Deleted old backup: {f.name}")
-
-
-# ---------------------------------------------------------------------------
-# Log compression (weekly)
-# ---------------------------------------------------------------------------
-
-def compress_old_logs(state: dict) -> None:
-    if not _should_run(state, "log_compress", 7 * 86400):
-        return
-    log("Compressing old logs...")
-    _mark_run(state, "log_compress")
-
-    import gzip
-    cutoff = time.time() - 7 * 86400
-    compressed = 0
-    for path in LOG_DIR.glob("*.log"):
-        if path.stat().st_mtime < cutoff:
-            gz_path = path.with_suffix(".log.gz")
-            try:
-                with open(path, "rb") as f_in, gzip.open(gz_path, "wb") as f_out:
-                    f_out.write(f_in.read())
-                path.unlink()
-                compressed += 1
-            except Exception as e:
-                log(f"  Could not compress {path.name}: {e}")
-    if compressed:
-        log(f"  Compressed {compressed} log file(s).")
-
-
-# ---------------------------------------------------------------------------
-# Main
-# ---------------------------------------------------------------------------
-
-def main() -> None:
-    log("=== Health monitor start ===")
-    state = _load_state()
-
-    check_processes()
-    check_resources()
-    check_ssl(state)
-    check_cache_logs(state)
-    run_backup(state)
-    compress_old_logs(state)
-
-    _save_state(state)
-    log("=== Health monitor done ===")
-
-
-if __name__ == "__main__":
-    main()
diff --git a/nginx_default b/nginx_default
deleted file mode 100644
index c8e6051..0000000
--- a/nginx_default
+++ /dev/null
@@ -1,81 +0,0 @@
-# verimundsolutions.com - website (Next.js, coming later)
-server {
-    listen 443 ssl;
-    listen [::]:443 ssl;
-    server_name verimundsolutions.com;
-
-    ssl_certificate /etc/letsencrypt/live/verimundsolutions.com/fullchain.pem;
-    ssl_certificate_key /etc/letsencrypt/live/verimundsolutions.com/privkey.pem;
-    include /etc/letsencrypt/options-ssl-nginx.conf;
-    ssl_dhparam /etc/letsencrypt/ssl-dhparams.pem;
-
-    location / {
-        return 200 'Coming soon';
-        add_header Content-Type text/plain;
-    }
-}
-
-# api.verimundsolutions.com - API server
-server {
-    listen 443 ssl;
-    listen [::]:443 ssl;
-    server_name api.verimundsolutions.com;
-
-    ssl_certificate /etc/letsencrypt/live/verimundsolutions.com/fullchain.pem;
-    ssl_certificate_key /etc/letsencrypt/live/verimundsolutions.com/privkey.pem;
-    include /etc/letsencrypt/options-ssl-nginx.conf;
-    ssl_dhparam /etc/letsencrypt/ssl-dhparams.pem;
-
-    location / {
-        proxy_pass http://localhost:8000;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        proxy_set_header X-Forwarded-Proto $scheme;
-    }
-}
-
-# git.verimundsolutions.com - Gitea
-server {
-    listen 443 ssl;
-    listen [::]:443 ssl;
-    server_name git.verimundsolutions.com;
-
-    ssl_certificate /etc/letsencrypt/live/git.verimundsolutions.com/fullchain.pem;
-    ssl_certificate_key /etc/letsencrypt/live/git.verimundsolutions.com/privkey.pem;
-    include /etc/letsencrypt/options-ssl-nginx.conf;
-    ssl_dhparam /etc/letsencrypt/ssl-dhparams.pem;
-
-    location / {
-        proxy_pass http://localhost:3000;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        proxy_set_header X-Forwarded-Proto $scheme;
-    }
-}
-
-# admin.verimundsolutions.com - Admin panel (coming later)
-server {
-    listen 443 ssl;
-    listen [::]:443 ssl;
-    server_name admin.verimundsolutions.com;
-
-    ssl_certificate /etc/letsencrypt/live/git.verimundsolutions.com/fullchain.pem;
-    ssl_certificate_key /etc/letsencrypt/live/git.verimundsolutions.com/privkey.pem;
-    include /etc/letsencrypt/options-ssl-nginx.conf;
-    ssl_dhparam /etc/letsencrypt/ssl-dhparams.pem;
-
-    location / {
-        return 200 'Admin coming soon';
-        add_header Content-Type text/plain;
-    }
-}
-
-# Redirect all HTTP to HTTPS
-server {
-    listen 80;
-    listen [::]:80;
-    server_name verimundsolutions.com api.verimundsolutions.com git.verimundsolutions.com admin.verimundsolutions.com;
-    return 301 https://$host$request_uri;
-}
diff --git a/pyarmor.bug.log b/pyarmor.bug.log
deleted file mode 100644
index 1a9cc56..0000000
--- a/pyarmor.bug.log
+++ /dev/null
@@ -1,40 +0,0 @@
-[BUG]: out of license
-
-## Command Line
-C:\Users\noach\AppData\Local\Programs\Python\Python314\Scripts\pyarmor gen --platform windows.x86_64 --output C:\Users\noach\Desktop\Stock Tool\Stock Tool\_pyarmor_build C:\Users\noach\Desktop\Stock Tool\Stock Tool\launcher.py C:\Users\noach\Desktop\Stock Tool\Stock Tool\license_check.py C:\Users\noach\Desktop\Stock Tool\Stock Tool\updater.py C:\Users\noach\Desktop\Stock Tool\Stock Tool\activation_dialog.py C:\Users\noach\Desktop\Stock Tool\Stock Tool\hwid.py C:\Users\noach\Desktop\Stock Tool\Stock Tool\screener_gui.py C:\Users\noach\Desktop\Stock Tool\Stock Tool\stock_screener.py
-
-## Environments
-Python 3.14.3
-Pyarmor 9.2.4 (trial), 000000, non-profits
-Platform windows.x86_64
-Native windows.amd64
-Home C:\Users\noach\.pyarmor
-
-## Traceback
-Traceback (most recent call last):
-  File "C:\Users\noach\AppData\Local\Programs\Python\Python314\Lib\site-packages\pyarmor\cli\__main__.py", line 804, in main
-    main_entry(sys.argv[1:])
-    ~~~~~~~~~~^^^^^^^^^^^^^^
-  File "C:\Users\noach\AppData\Local\Programs\Python\Python314\Lib\site-packages\pyarmor\cli\__main__.py", line 789, in main_entry
-    return args.func(ctx, args)
-           ~~~~~~~~~^^^^^^^^^^^
-  File "C:\Users\noach\AppData\Local\Programs\Python\Python314\Lib\site-packages\pyarmor\cli\__main__.py", line 248, in cmd_gen
-    builder.process(options)
-    ~~~~~~~~~~~~~~~^^^^^^^^^
-  File "C:\Users\noach\AppData\Local\Programs\Python\Python314\Lib\site-packages\pyarmor\cli\generate.py", line 190, in process
-    async_obfuscate_scripts(self, n) if n else self._obfuscate_scripts()
-                                               ~~~~~~~~~~~~~~~~~~~~~~~^^
-  File "C:\Users\noach\AppData\Local\Programs\Python\Python314\Lib\site-packages\pyarmor\cli\generate.py", line 145, in _obfuscate_scripts
-    code = Pytransform3.generate_obfuscated_script(self.ctx, r)
-  File "C:\Users\noach\AppData\Local\Programs\Python\Python314\Lib\site-packages\pyarmor\cli\core\__init__.py", line 95, in generate_obfuscated_script
-    return m.generate_obfuscated_script(ctx, res)
-           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^
-  File "<maker>", line 728, in generate_obfuscated_script
-  File "C:\Users\noach\AppData\Local\Programs\Python\Python314\Lib\site-packages\pyarmor\cli\__init__.py", line 16, in process
-    return meth(self, res, *args, **kwargs)
-  File "<maker>", line 553, in process
-  File "<maker>", line 559, in coserialize
-  File "<maker>", line 609, in _build_ast_body
-RuntimeError: out of license
-
-
diff --git a/scripts/backup.sh b/scripts/backup.sh
deleted file mode 100644
index afcf630..0000000
--- a/scripts/backup.sh
+++ /dev/null
@@ -1,16 +0,0 @@
-#!/bin/bash
-
-DATE=$(date +%Y-%m-%d)
-BACKUP_DIR=/srv/backups/db
-R2_BUCKET=r2:verimund-backups
-
-# Database backup
-pg_dump -h 127.0.0.1 -U verimund_user verimund | gzip > $BACKUP_DIR/verimund_$DATE.sql.gz
-
-# Upload to R2
-rclone sync $BACKUP_DIR $R2_BUCKET/db
-
-# Keep only last 7 local backups
-cd $BACKUP_DIR && ls -t | tail -n +8 | xargs -r rm
-
-echo "Backup complete: $DATE"
diff --git a/supabase_schema.sql b/supabase_schema.sql
deleted file mode 100644
index 1eda088..0000000
--- a/supabase_schema.sql
+++ /dev/null
@@ -1,298 +0,0 @@
--- =============================================================================
--- Ultimate Investment Tool — Supabase Schema
--- Paste this entire file into Supabase SQL Editor and click Run.
--- =============================================================================
-
--- -----------------------------------------------------------------------------
--- 1. TABLES
--- -----------------------------------------------------------------------------
-
-CREATE TABLE IF NOT EXISTS licenses (
-    id              UUID        DEFAULT gen_random_uuid() PRIMARY KEY,
-    license_key     TEXT        UNIQUE NOT NULL,
-    hwid            TEXT,                          -- NULL until first activation
-    tier            TEXT        NOT NULL DEFAULT 'monthly', -- 'weekly' | 'monthly' | 'lifetime'
-    channel         TEXT        NOT NULL DEFAULT 'stable',  -- 'stable' | 'beta'
-    expiry_date     TIMESTAMPTZ,                   -- NULL = lifetime
-    active          BOOLEAN     NOT NULL DEFAULT true,
-    machines_allowed INTEGER    NOT NULL DEFAULT 1,
-    notes           TEXT,                          -- customer name / order ref
-    created_at      TIMESTAMPTZ DEFAULT NOW(),
-    activated_at    TIMESTAMPTZ
-);
-
--- Add channel column to existing tables (safe to run on already-created tables)
-ALTER TABLE licenses ADD COLUMN IF NOT EXISTS channel TEXT NOT NULL DEFAULT 'stable';
-
-CREATE TABLE IF NOT EXISTS app_versions (
-    id              UUID        DEFAULT gen_random_uuid() PRIMARY KEY,
-    version         TEXT        UNIQUE NOT NULL,   -- e.g. '1.0.1'
-    channel         TEXT        NOT NULL DEFAULT 'stable', -- 'stable' | 'beta'
-    gui_py_url      TEXT,                          -- Supabase Storage URL for screener_gui.py
-    screener_py_url TEXT,                          -- Supabase Storage URL for stock_screener.py
-    release_notes   TEXT,
-    is_latest       BOOLEAN     NOT NULL DEFAULT true,
-    released_at     TIMESTAMPTZ DEFAULT NOW()
-);
-
--- Add channel column to existing app_versions tables (safe to run on already-created tables)
-ALTER TABLE app_versions ADD COLUMN IF NOT EXISTS channel TEXT NOT NULL DEFAULT 'stable';
-
-CREATE TABLE IF NOT EXISTS auth_log (
-    id              UUID        DEFAULT gen_random_uuid() PRIMARY KEY,
-    license_key     TEXT,
-    hwid            TEXT,
-    result          TEXT,                          -- 'valid' | 'invalid'
-    reason          TEXT,
-    created_at      TIMESTAMPTZ DEFAULT NOW()
-);
-
-CREATE TABLE IF NOT EXISTS analyst_cache (
-    ticker           TEXT        PRIMARY KEY,
-    pe_forward       DOUBLE PRECISION,
-    eps_forward      DOUBLE PRECISION,
-    analyst_norm     DOUBLE PRECISION,
-    analyst_upside   DOUBLE PRECISION,
-    analyst_count    INTEGER,
-    analyst_target   DOUBLE PRECISION,
-    recommendation   TEXT,
-    news_sentiment   DOUBLE PRECISION,
-    sector           TEXT,
-    industry         TEXT,
-    updated_at       TIMESTAMPTZ DEFAULT NOW()
-);
-
-CREATE TABLE IF NOT EXISTS fundamentals_cache (
-    ticker            TEXT        PRIMARY KEY,
-    -- Valuation
-    pe_trailing       DOUBLE PRECISION,
-    pb_ratio          DOUBLE PRECISION,
-    ev_ebitda         DOUBLE PRECISION,
-    eps_trailing      DOUBLE PRECISION,
-    -- Growth
-    revenue           DOUBLE PRECISION,
-    revenue_growth    DOUBLE PRECISION,
-    earnings_growth   DOUBLE PRECISION,
-    -- Quality
-    roe               DOUBLE PRECISION,
-    roa               DOUBLE PRECISION,
-    debt_to_equity    DOUBLE PRECISION,
-    total_debt        DOUBLE PRECISION,
-    total_cash        DOUBLE PRECISION,
-    book_value        DOUBLE PRECISION,
-    current_ratio     DOUBLE PRECISION,
-    -- Profitability
-    profit_margin     DOUBLE PRECISION,
-    operating_margin  DOUBLE PRECISION,
-    fcf_yield         DOUBLE PRECISION,
-    dividend_yield    DOUBLE PRECISION,
-    -- Market
-    market_cap           DOUBLE PRECISION,
-    shares_outstanding   DOUBLE PRECISION,
-    ev_revenue           DOUBLE PRECISION,
-    -- Risk
-    short_percent     DOUBLE PRECISION,
-    -- Meta
-    filer_type        TEXT,   -- 'us-gaap-quarterly' | 'us-gaap-annual' | 'ifrs-annual' | 'none'
-    updated_at        TIMESTAMPTZ DEFAULT NOW()
-);
-
-CREATE TABLE IF NOT EXISTS sector_stats (
-    sector                   TEXT        PRIMARY KEY,
-    -- Valuation
-    pe_trailing_med          DOUBLE PRECISION,  pe_trailing_mad          DOUBLE PRECISION,
-    pb_ratio_med             DOUBLE PRECISION,  pb_ratio_mad             DOUBLE PRECISION,
-    ev_ebitda_med            DOUBLE PRECISION,  ev_ebitda_mad            DOUBLE PRECISION,
-    ev_revenue_med           DOUBLE PRECISION,  ev_revenue_mad           DOUBLE PRECISION,
-    -- Growth
-    revenue_growth_med       DOUBLE PRECISION,  revenue_growth_mad       DOUBLE PRECISION,
-    earnings_growth_med      DOUBLE PRECISION,  earnings_growth_mad      DOUBLE PRECISION,
-    eps_growth_med           DOUBLE PRECISION,  eps_growth_mad           DOUBLE PRECISION,
-    -- Quality
-    roe_med                  DOUBLE PRECISION,  roe_mad                  DOUBLE PRECISION,
-    roa_med                  DOUBLE PRECISION,  roa_mad                  DOUBLE PRECISION,
-    debt_to_equity_med       DOUBLE PRECISION,  debt_to_equity_mad       DOUBLE PRECISION,
-    current_ratio_med        DOUBLE PRECISION,  current_ratio_mad        DOUBLE PRECISION,
-    -- Profitability
-    profit_margin_med        DOUBLE PRECISION,  profit_margin_mad        DOUBLE PRECISION,
-    operating_margin_med     DOUBLE PRECISION,  operating_margin_mad     DOUBLE PRECISION,
-    fcf_yield_med            DOUBLE PRECISION,  fcf_yield_mad            DOUBLE PRECISION,
-    -- Analyst
-    analyst_upside_med       DOUBLE PRECISION,  analyst_upside_mad       DOUBLE PRECISION,
-    -- Meta
-    ticker_count             INTEGER,
-    updated_at               TIMESTAMPTZ DEFAULT NOW()
-);
-
--- Add columns that may be missing if sector_stats was created before the current schema
-ALTER TABLE sector_stats ADD COLUMN IF NOT EXISTS eps_growth_med   DOUBLE PRECISION;
-ALTER TABLE sector_stats ADD COLUMN IF NOT EXISTS eps_growth_mad   DOUBLE PRECISION;
-ALTER TABLE sector_stats ADD COLUMN IF NOT EXISTS ticker_count     INTEGER;
-
-ALTER TABLE sector_stats ENABLE ROW LEVEL SECURITY;
-
-DO $$ BEGIN
-  IF NOT EXISTS (
-    SELECT 1 FROM pg_policies
-    WHERE tablename = 'sector_stats' AND policyname = 'anon_select'
-  ) THEN
-    CREATE POLICY anon_select ON sector_stats FOR SELECT TO anon USING (true);
-  END IF;
-END $$;
-
-ALTER TABLE fundamentals_cache ENABLE ROW LEVEL SECURITY;
-
-DO $$ BEGIN
-  IF NOT EXISTS (
-    SELECT 1 FROM pg_policies
-    WHERE tablename = 'fundamentals_cache' AND policyname = 'anon_select'
-  ) THEN
-    CREATE POLICY anon_select ON fundamentals_cache FOR SELECT TO anon USING (true);
-  END IF;
-END $$;
-
--- Seed the initial version row so the updater has something to compare against.
-INSERT INTO app_versions (version, is_latest, release_notes)
-SELECT '1.0.0', true, 'Initial release'
-WHERE NOT EXISTS (SELECT 1 FROM app_versions WHERE version = '1.0.0');
-
--- -----------------------------------------------------------------------------
--- 2. ROW LEVEL SECURITY — no direct table access for anon
--- -----------------------------------------------------------------------------
-
-ALTER TABLE licenses      ENABLE ROW LEVEL SECURITY;
-ALTER TABLE app_versions  ENABLE ROW LEVEL SECURITY;
-ALTER TABLE auth_log      ENABLE ROW LEVEL SECURITY;
-ALTER TABLE analyst_cache ENABLE ROW LEVEL SECURITY;
-
--- No RLS policies on licenses/app_versions/auth_log = anon cannot access directly.
--- All sensitive access goes through SECURITY DEFINER functions below.
-
--- analyst_cache is public market data — allow the anon key to read it.
-DO $$ BEGIN
-  IF NOT EXISTS (
-    SELECT 1 FROM pg_policies
-    WHERE tablename = 'analyst_cache' AND policyname = 'anon_select'
-  ) THEN
-    CREATE POLICY anon_select ON analyst_cache FOR SELECT TO anon USING (true);
-  END IF;
-END $$;
-
--- -----------------------------------------------------------------------------
--- 3. RPC: verify_license(p_key, p_hwid) → JSON
--- -----------------------------------------------------------------------------
--- Called by the app on every launch with the stored license key + machine HWID.
--- Handles: first-time HWID binding, expiry, disabled keys, HWID mismatch.
--- Returns: { valid, reason, tier, expiry_date }
--- -----------------------------------------------------------------------------
-
-CREATE OR REPLACE FUNCTION verify_license(p_key TEXT, p_hwid TEXT)
-RETURNS JSON
-LANGUAGE plpgsql
-SECURITY DEFINER
-AS $$
-DECLARE
-    lic    RECORD;
-BEGIN
-    -- Look up the key
-    SELECT * INTO lic FROM licenses WHERE license_key = p_key;
-
-    IF NOT FOUND THEN
-        INSERT INTO auth_log (license_key, hwid, result, reason)
-        VALUES (p_key, p_hwid, 'invalid', 'key_not_found');
-        RETURN json_build_object(
-            'valid',  false,
-            'reason', 'License key not found.'
-        );
-    END IF;
-
-    -- Check disabled
-    IF NOT lic.active THEN
-        INSERT INTO auth_log (license_key, hwid, result, reason)
-        VALUES (p_key, p_hwid, 'invalid', 'key_disabled');
-        RETURN json_build_object(
-            'valid',  false,
-            'reason', 'This license has been disabled. Please contact support.'
-        );
-    END IF;
-
-    -- Check expiry (NULL = lifetime, never expires)
-    IF lic.expiry_date IS NOT NULL AND lic.expiry_date < NOW() THEN
-        INSERT INTO auth_log (license_key, hwid, result, reason)
-        VALUES (p_key, p_hwid, 'invalid', 'expired');
-        RETURN json_build_object(
-            'valid',  false,
-            'reason', 'Your subscription has expired. Please renew to continue.'
-        );
-    END IF;
-
-    -- HWID check
-    IF lic.hwid IS NULL THEN
-        -- First activation — bind this machine
-        UPDATE licenses
-        SET hwid = p_hwid, activated_at = NOW()
-        WHERE license_key = p_key;
-    ELSIF lic.hwid <> p_hwid THEN
-        INSERT INTO auth_log (license_key, hwid, result, reason)
-        VALUES (p_key, p_hwid, 'invalid', 'hwid_mismatch');
-        RETURN json_build_object(
-            'valid',  false,
-            'reason', 'This license is registered to a different machine. Contact support to transfer.'
-        );
-    END IF;
-
-    -- All checks passed
-    INSERT INTO auth_log (license_key, hwid, result, reason)
-    VALUES (p_key, p_hwid, 'valid', 'ok');
-
-    RETURN json_build_object(
-        'valid',       true,
-        'reason',      'ok',
-        'tier',        lic.tier,
-        'channel',     lic.channel,
-        'expiry_date', lic.expiry_date
-    );
-END;
-$$;
-
--- -----------------------------------------------------------------------------
--- 4. RPC: get_latest_version() → JSON
--- -----------------------------------------------------------------------------
--- Called by the updater after a successful license check.
--- Returns: { version, gui_py_url, screener_py_url, release_notes }
--- -----------------------------------------------------------------------------
-
-CREATE OR REPLACE FUNCTION get_latest_version(p_channel TEXT DEFAULT 'stable')
-RETURNS JSON
-LANGUAGE plpgsql
-SECURITY DEFINER
-AS $$
-DECLARE
-    ver RECORD;
-BEGIN
-    SELECT * INTO ver
-    FROM app_versions
-    WHERE is_latest = true
-      AND channel   = p_channel
-    ORDER BY released_at DESC
-    LIMIT 1;
-
-    IF NOT FOUND THEN
-        RETURN json_build_object('version', '1.0.0');
-    END IF;
-
-    RETURN json_build_object(
-        'version',         ver.version,
-        'gui_py_url',      ver.gui_py_url,
-        'screener_py_url', ver.screener_py_url,
-        'release_notes',   ver.release_notes
-    );
-END;
-$$;
-
--- -----------------------------------------------------------------------------
--- 5. GRANTS — allow anon key to call the two RPC functions only
--- -----------------------------------------------------------------------------
-
-GRANT EXECUTE ON FUNCTION verify_license(TEXT, TEXT) TO anon;
-GRANT EXECUTE ON FUNCTION get_latest_version(TEXT)    TO anon;
diff --git a/tests/conftest.py b/tests/conftest.py
deleted file mode 100644
index 868c7c8..0000000
--- a/tests/conftest.py
+++ /dev/null
@@ -1,11 +0,0 @@
-"""
-pytest configuration. Registers custom markers so -m "not network" works
-without warnings.
-"""
-import pytest
-
-
-def pytest_configure(config):
-    config.addinivalue_line(
-        "markers", "network: marks tests that require internet access (deselect with -m 'not network')"
-    )
diff --git a/tests/test_gui.py b/tests/test_gui.py
deleted file mode 100644
index dea5e29..0000000
--- a/tests/test_gui.py
+++ /dev/null
@@ -1,99 +0,0 @@
-"""
-GUI smoke tests — headless PySide6 (QT_QPA_PLATFORM=offscreen).
-Verifies that all modules import and core widgets instantiate without crashing.
-No network calls, no DB, no real data.
-
-Run automatically via PostToolUse hook on every edit to screener_gui.py.
-"""
-
-import os
-import sys
-import subprocess
-from pathlib import Path
-
-PROJECT_ROOT = Path(__file__).parent.parent
-DIST_DIR = PROJECT_ROOT / "dist"
-PYTHON = sys.executable
-
-
-def _run(code: str) -> subprocess.CompletedProcess:
-    """Run Python code in a subprocess with offscreen Qt platform."""
-    env = os.environ.copy()
-    env["QT_QPA_PLATFORM"] = "offscreen"
-    return subprocess.run(
-        [PYTHON, "-c", code],
-        capture_output=True,
-        text=True,
-        cwd=str(DIST_DIR),
-        env=env,
-        timeout=30,
-    )
-
-
-def test_stock_screener_imports():
-    """stock_screener.py imports and exposes expected symbols."""
-    result = _run("""
-import stock_screener as ss
-required = [
-    'compute_value_score', 'compute_quality_score',
-    'compute_growth_score', 'compute_profitability_score',
-    'compute_sentiment_score', 'score_stocks',
-    'STRATEGY_PRESETS', 'WEIGHTS',
-]
-missing = [s for s in required if not hasattr(ss, s)]
-assert not missing, f"Missing symbols: {missing}"
-print("SCREENER_OK")
-""")
-    assert "SCREENER_OK" in result.stdout, f"stock_screener import failed:\n{result.stderr}"
-
-
-def test_screener_gui_imports():
-    """screener_gui.py imports without error (PySide6, matplotlib, etc.)."""
-    result = _run("""
-from PySide6.QtWidgets import QApplication
-import sys
-app = QApplication(sys.argv)
-import screener_gui
-print("GUI_IMPORT_OK")
-""")
-    assert "GUI_IMPORT_OK" in result.stdout, (
-        f"screener_gui import failed:\n{result.stderr[-2000:]}"
-    )
-
-
-def test_stock_table_model():
-    """StockTableModel can be created and populated via set_data."""
-    result = _run("""
-import sys
-from PySide6.QtWidgets import QApplication
-app = QApplication(sys.argv)
-from screener_gui import StockTableModel
-model = StockTableModel()
-assert model.rowCount() == 0
-model.set_data([("AAPL", "Apple Inc", 82.5, "Technology")])
-assert model.rowCount() == 1
-assert model.columnCount() == 5
-print("TABLE_MODEL_OK")
-""")
-    assert "TABLE_MODEL_OK" in result.stdout, (
-        f"StockTableModel test failed:\n{result.stderr[-2000:]}"
-    )
-
-
-def test_screener_app_instantiates():
-    """ScreenerApp (main window) instantiates without crashing."""
-    result = _run("""
-import sys
-from PySide6.QtWidgets import QApplication
-app = QApplication(sys.argv)
-from screener_gui import ScreenerApp
-win = ScreenerApp()
-# Verify expected attributes exist
-assert hasattr(win, '_screener_page')
-assert hasattr(win, '_search_page')
-assert hasattr(win, '_sidebar')
-print("APP_OK")
-""")
-    assert "APP_OK" in result.stdout, (
-        f"ScreenerApp instantiation failed:\n{result.stderr[-2000:]}"
-    )
diff --git a/tests/test_network.py b/tests/test_network.py
deleted file mode 100644
index 666313e..0000000
--- a/tests/test_network.py
+++ /dev/null
@@ -1,150 +0,0 @@
-"""
-Network integration tests — requires internet access and live API.
-NOT run automatically on every edit (slow, rate-limited).
-
-Run manually before pushing an update:
-    python -m pytest tests/test_network.py -v
-
-Or run with the fast tests excluded:
-    python -m pytest tests/ -v -m "not network"
-"""
-
-import sys
-from pathlib import Path
-import pytest
-import requests
-
-sys.path.insert(0, str(Path(__file__).parent.parent / "dist"))
-
-API_BASE = "https://api.verimundsolutions.com"
-EDGAR_BASE = "https://data.sec.gov"
-EDGAR_UA = {"User-Agent": "Verimund Solutions support@verimundsolutions.com"}
-
-pytestmark = pytest.mark.network
-
-
-# ---------------------------------------------------------------------------
-# API health checks
-# ---------------------------------------------------------------------------
-
-class TestAPIHealth:
-    def test_update_endpoint_alive(self):
-        """GET /update should respond (not timeout, not 500)."""
-        r = requests.get(f"{API_BASE}/update", timeout=10)
-        assert r.status_code != 500, f"/update returned 500: {r.text}"
-        assert r.status_code in (200, 400, 401, 422), (
-            f"Unexpected status from /update: {r.status_code}"
-        )
-
-    def test_versions_endpoint_alive(self):
-        """GET /admin/versions returns 401 without auth (not 500 or timeout)."""
-        r = requests.get(f"{API_BASE}/admin/versions", timeout=10)
-        assert r.status_code in (200, 401, 403), (
-            f"/admin/versions returned unexpected status: {r.status_code}"
-        )
-
-    def test_auth_endpoint_rejects_bad_request(self):
-        """POST /auth with garbage data returns 400/422, not 500."""
-        r = requests.post(
-            f"{API_BASE}/auth",
-            json={"license_key": "bad", "hwid": "bad", "timestamp": "0", "signature": "bad"},
-            timeout=10,
-        )
-        assert r.status_code in (400, 401, 422), (
-            f"/auth returned unexpected status: {r.status_code}"
-        )
-
-    def test_no_500_errors_on_any_public_endpoint(self):
-        endpoints = ["/update", "/admin/versions"]
-        for ep in endpoints:
-            r = requests.get(f"{API_BASE}{ep}", timeout=10)
-            assert r.status_code != 500, f"{ep} returned 500: {r.text}"
-
-
-# ---------------------------------------------------------------------------
-# yfinance field checks
-# ---------------------------------------------------------------------------
-
-class TestYFinanceFields:
-    """
-    Verify that yfinance still returns the fields our scoring depends on.
-    Uses AAPL as a known-stable ticker.
-    If these fail, yfinance has renamed a field we use — scoring will silently
-    return neutral 50 for affected metrics.
-    """
-
-    @pytest.fixture(scope="class")
-    def aapl_info(self):
-        import yfinance as yf
-        return yf.Ticker("AAPL").info
-
-    REQUIRED_FIELDS = [
-        "trailingPE",
-        "forwardPE",
-        "priceToBook",
-        "returnOnAssets",
-        "returnOnEquity",
-        "currentRatio",
-        "debtToEquity",
-        "revenueGrowth",
-        "earningsGrowth",
-        "shortPercentOfFloat",
-        "recommendationMean",
-        "targetMeanPrice",
-        "currentPrice",
-        "marketCap",
-    ]
-
-    def test_required_fields_present(self, aapl_info):
-        missing = [f for f in self.REQUIRED_FIELDS if f not in aapl_info]
-        assert not missing, (
-            f"yfinance dropped fields we depend on: {missing}\n"
-            f"Update scoring functions or field mappings."
-        )
-
-    def test_de_is_percentage_scale(self, aapl_info):
-        """
-        yfinance returns debtToEquity as percentage (e.g. 150 not 1.5).
-        Our code divides by 100. If this breaks, D/E scoring silently becomes wrong.
-        """
-        de = aapl_info.get("debtToEquity")
-        if de is not None:
-            assert de > 1.0, (
-                f"debtToEquity={de} looks like a ratio, not percentage. "
-                f"Remove the /100.0 normalization in stock_screener.py line ~1356."
-            )
-
-    def test_price_history_available(self):
-        import yfinance as yf
-        hist = yf.download("AAPL", period="1mo", progress=False, auto_adjust=True)
-        assert len(hist) > 10, "yfinance price history returned fewer than 10 bars for AAPL"
-
-
-# ---------------------------------------------------------------------------
-# EDGAR API checks
-# ---------------------------------------------------------------------------
-
-class TestEDGARAPI:
-    def test_frames_endpoint_alive(self):
-        """EDGAR XBRL frames API returns valid data for a known concept/period."""
-        r = requests.get(
-            f"{EDGAR_BASE}/api/xbrl/frames/us-gaap/Revenues/USD/CY2023Q4.json",
-            headers=EDGAR_UA,
-            timeout=20,
-        )
-        assert r.status_code == 200, f"EDGAR frames API returned {r.status_code}"
-        data = r.json()
-        assert "data" in data, "EDGAR response missing 'data' key"
-        assert len(data["data"]) > 100, "EDGAR returned suspiciously few companies"
-
-    def test_company_facts_endpoint_alive(self):
-        """EDGAR company facts for Apple (CIK 320193) returns valid data."""
-        r = requests.get(
-            f"{EDGAR_BASE}/api/xbrl/companyfacts/CIK0000320193.json",
-            headers=EDGAR_UA,
-            timeout=20,
-        )
-        assert r.status_code == 200, f"EDGAR company facts returned {r.status_code}"
-        data = r.json()
-        assert "facts" in data
-        assert "us-gaap" in data["facts"]
diff --git a/tests/test_scoring.py b/tests/test_scoring.py
deleted file mode 100644
index 1679098..0000000
--- a/tests/test_scoring.py
+++ /dev/null
@@ -1,296 +0,0 @@
-"""
-Fast scoring unit tests — no DB, no network, no GUI.
-Run automatically via PostToolUse hook on every edit to stock_screener.py.
-
-Tests cover:
-  - Value score direction (cheap stocks score higher than expensive)
-  - Negative equity → low quality score (not high)
-  - Piotroski score feeds into quality correctly
-  - Sentiment confidence weighting (1 headline ≠ 10 headlines)
-  - All-None row doesn't crash any scoring function
-  - All scores are within 0–100 bounds
-  - Profile classification (early_stage, financial, high_growth, mature)
-"""
-
-import sys
-from pathlib import Path
-import pandas as pd
-import numpy as np
-import pytest
-
-sys.path.insert(0, str(Path(__file__).parent.parent / "dist"))
-
-from stock_screener import (
-    compute_value_score,
-    compute_growth_score,
-    compute_quality_score,
-    compute_profitability_score,
-    compute_sentiment_score,
-    compute_analyst_score,
-)
-
-# ---------------------------------------------------------------------------
-# Mock sector stats — median/MAD pairs per metric for "Technology" sector.
-# Used so z-score functions return meaningful values instead of neutral 50.
-# ---------------------------------------------------------------------------
-MOCK_SS = {
-    "Technology": {
-        "pe_trailing":      (25.0, 15.0),
-        "pe_forward":       (22.0, 12.0),
-        "pb_ratio":         (5.0,  3.0),
-        "ev_ebitda":        (18.0, 10.0),
-        "ev_revenue":       (8.0,  5.0),
-        "revenue_growth":   (0.12, 0.10),
-        "earnings_growth":  (0.15, 0.12),
-        "eps_growth":       (0.10, 0.15),
-        "roa":              (0.08, 0.06),
-        "roe":              (0.15, 0.10),
-        "debt_to_equity":   (0.50, 0.40),
-        "current_ratio":    (2.0,  0.8),
-        "fcf_yield":        (0.04, 0.03),
-        "operating_margin": (0.15, 0.10),
-        "profit_margin":    (0.12, 0.08),
-        "analyst_upside":   (0.10, 0.15),
-    }
-}
-
-
-def _base_row(**overrides):
-    """Return a dict with all required fields set to safe defaults."""
-    defaults = dict(
-        sector="Technology",
-        pe_trailing=25.0,   pe_forward=22.0,
-        pb_ratio=5.0,       ev_ebitda=18.0,     ev_revenue=8.0,
-        revenue_growth=0.12, earnings_growth=0.15,
-        eps_trailing=3.0,   eps_forward=3.5,
-        roa=0.08,           roe=0.15,
-        debt_to_equity=0.50, current_ratio=2.0,
-        piotroski_score=2,
-        fcf_yield=0.04,     operating_margin=0.15,
-        profit_margin=0.12, accruals_ratio=-0.02,
-        news_sentiment=0.0, news_headline_count=5,
-        analyst_count=8,    analyst_upside=0.10,
-        analyst_norm=50.0,
-        revenue=500_000_000, market_cap=5_000_000_000,
-        short_percent=0.03, volatility=0.25, beta=1.0,
-    )
-    defaults.update(overrides)
-    return defaults
-
-
-def _df(*rows):
-    """Build a DataFrame from _base_row dicts, indexed 0..n."""
-    return pd.DataFrame(list(rows)).reset_index(drop=True)
-
-
-# ---------------------------------------------------------------------------
-# Value score tests
-# ---------------------------------------------------------------------------
-
-class TestValueScore:
-    def test_cheap_beats_expensive(self):
-        df = _df(
-            _base_row(pe_trailing=8,   pe_forward=7,   pb_ratio=1.5, ev_ebitda=6),   # cheap
-            _base_row(pe_trailing=120, pe_forward=100, pb_ratio=20,  ev_ebitda=60),  # expensive
-        )
-        scores = compute_value_score(df, MOCK_SS)
-        assert scores.iloc[0] > scores.iloc[1], (
-            f"Cheap stock ({scores.iloc[0]:.1f}) should beat expensive ({scores.iloc[1]:.1f})"
-        )
-
-    def test_none_pe_doesnt_crash(self):
-        df = _df(_base_row(pe_trailing=None, pe_forward=None))
-        scores = compute_value_score(df, MOCK_SS)
-        assert 0 <= float(scores.iloc[0]) <= 100
-
-    def test_scores_in_bounds(self):
-        rows = [
-            _base_row(pe_trailing=5),
-            _base_row(pe_trailing=200),
-            _base_row(pe_trailing=None),
-        ]
-        scores = compute_value_score(_df(*rows), MOCK_SS)
-        assert scores.between(0, 100).all(), f"Out-of-bounds scores: {scores.tolist()}"
-
-
-# ---------------------------------------------------------------------------
-# Quality score tests
-# ---------------------------------------------------------------------------
-
-class TestQualityScore:
-    def test_negative_equity_scores_low(self):
-        """Negative D/E (negative book equity) must score low, not high."""
-        df = _df(
-            _base_row(debt_to_equity=-2.0, roa=0.05),   # negative equity
-            _base_row(debt_to_equity=0.3,  roa=0.12),   # healthy balance sheet
-        )
-        scores = compute_quality_score(df, MOCK_SS)
-        assert scores.iloc[0] < 40, (
-            f"Negative equity should score < 40, got {scores.iloc[0]:.1f}"
-        )
-        assert scores.iloc[1] > scores.iloc[0], (
-            f"Healthy balance sheet ({scores.iloc[1]:.1f}) should beat negative equity ({scores.iloc[0]:.1f})"
-        )
-
-    def test_high_piotroski_beats_low(self):
-        df = _df(
-            _base_row(piotroski_score=4),  # strong
-            _base_row(piotroski_score=0),  # weak
-        )
-        scores = compute_quality_score(df, MOCK_SS)
-        assert scores.iloc[0] > scores.iloc[1], (
-            f"Piotroski 4 ({scores.iloc[0]:.1f}) should beat Piotroski 0 ({scores.iloc[1]:.1f})"
-        )
-
-    def test_high_de_scores_lower(self):
-        df = _df(
-            _base_row(debt_to_equity=0.1),   # low leverage
-            _base_row(debt_to_equity=5.0),   # high leverage
-        )
-        scores = compute_quality_score(df, MOCK_SS)
-        assert scores.iloc[0] > scores.iloc[1], (
-            f"Low D/E ({scores.iloc[0]:.1f}) should beat high D/E ({scores.iloc[1]:.1f})"
-        )
-
-    def test_scores_in_bounds(self):
-        rows = [
-            _base_row(debt_to_equity=-5.0),
-            _base_row(debt_to_equity=999.0),
-            _base_row(roa=None, roe=None),
-        ]
-        scores = compute_quality_score(_df(*rows), MOCK_SS)
-        assert scores.between(0, 100).all(), f"Out-of-bounds scores: {scores.tolist()}"
-
-
-# ---------------------------------------------------------------------------
-# Sentiment score tests
-# ---------------------------------------------------------------------------
-
-class TestSentimentScore:
-    def test_confidence_weighting(self):
-        """1 headline should blend toward neutral vs 10 headlines."""
-        df = _df(
-            _base_row(news_sentiment=0.8, news_headline_count=1),   # low confidence
-            _base_row(news_sentiment=0.8, news_headline_count=10),  # high confidence
-        )
-        scores = compute_sentiment_score(df)
-        assert scores.iloc[1] > scores.iloc[0], (
-            f"10 headlines ({scores.iloc[1]:.1f}) should outscore 1 headline ({scores.iloc[0]:.1f}) "
-            f"for same positive sentiment"
-        )
-
-    def test_single_headline_blends_toward_neutral(self):
-        df = _df(_base_row(news_sentiment=0.8, news_headline_count=1))
-        score = float(compute_sentiment_score(df).iloc[0])
-        # 1 headline → confidence=0.2, so score should be closer to 50 than to 80+
-        assert score < 70, f"1-headline score should blend toward neutral, got {score:.1f}"
-
-    def test_negative_sentiment_scores_low(self):
-        df = _df(
-            _base_row(news_sentiment=-0.7, news_headline_count=5),
-            _base_row(news_sentiment=0.7,  news_headline_count=5),
-        )
-        scores = compute_sentiment_score(df)
-        assert scores.iloc[0] < scores.iloc[1]
-
-    def test_scores_in_bounds(self):
-        rows = [
-            _base_row(news_sentiment=-1.0, news_headline_count=0),
-            _base_row(news_sentiment=1.0,  news_headline_count=20),
-            _base_row(news_sentiment=None, news_headline_count=None),
-        ]
-        scores = compute_sentiment_score(_df(*rows))
-        assert scores.between(0, 100).all()
-
-
-# ---------------------------------------------------------------------------
-# Growth score tests
-# ---------------------------------------------------------------------------
-
-class TestGrowthScore:
-    def test_high_growth_beats_low(self):
-        df = _df(
-            _base_row(revenue_growth=0.50, earnings_growth=0.60),
-            _base_row(revenue_growth=-0.10, earnings_growth=-0.20),
-        )
-        scores = compute_growth_score(df, MOCK_SS)
-        assert scores.iloc[0] > scores.iloc[1]
-
-    def test_scores_in_bounds(self):
-        rows = [
-            _base_row(revenue_growth=None, earnings_growth=None),
-            _base_row(revenue_growth=5.0,  earnings_growth=5.0),
-            _base_row(revenue_growth=-1.0, earnings_growth=-1.0),
-        ]
-        scores = compute_growth_score(_df(*rows), MOCK_SS)
-        assert scores.between(0, 100).all()
-
-
-# ---------------------------------------------------------------------------
-# Profitability score tests
-# ---------------------------------------------------------------------------
-
-class TestProfitabilityScore:
-    def test_cash_backed_earnings_score_higher(self):
-        """Negative accruals (cash-backed earnings) should beat high accruals."""
-        df = _df(
-            _base_row(accruals_ratio=-0.20, operating_margin=0.20),  # cash-backed
-            _base_row(accruals_ratio=0.20,  operating_margin=0.20),  # accrual-heavy
-        )
-        scores = compute_profitability_score(df, MOCK_SS)
-        assert scores.iloc[0] > scores.iloc[1]
-
-    def test_scores_in_bounds(self):
-        rows = [
-            _base_row(fcf_yield=None, operating_margin=None, profit_margin=None),
-            _base_row(accruals_ratio=-0.5),
-            _base_row(accruals_ratio=0.5),
-        ]
-        scores = compute_profitability_score(_df(*rows), MOCK_SS)
-        assert scores.between(0, 100).all()
-
-
-# ---------------------------------------------------------------------------
-# All-None row doesn't crash any scorer
-# ---------------------------------------------------------------------------
-
-class TestNoneRobustness:
-    NULL_ROW = dict(
-        sector=None, pe_trailing=None, pe_forward=None,
-        pb_ratio=None, ev_ebitda=None, ev_revenue=None,
-        revenue_growth=None, earnings_growth=None,
-        eps_trailing=None, eps_forward=None,
-        roa=None, roe=None, debt_to_equity=None,
-        current_ratio=None, piotroski_score=None,
-        fcf_yield=None, operating_margin=None,
-        profit_margin=None, accruals_ratio=None,
-        news_sentiment=None, news_headline_count=None,
-        analyst_count=None, analyst_upside=None, analyst_norm=None,
-        revenue=None, market_cap=None,
-        short_percent=None, volatility=None, beta=None,
-    )
-
-    def test_value_no_crash(self):
-        df = pd.DataFrame([self.NULL_ROW])
-        scores = compute_value_score(df, {})
-        assert scores.between(0, 100).all()
-
-    def test_quality_no_crash(self):
-        df = pd.DataFrame([self.NULL_ROW])
-        scores = compute_quality_score(df, {})
-        assert scores.between(0, 100).all()
-
-    def test_growth_no_crash(self):
-        df = pd.DataFrame([self.NULL_ROW])
-        scores = compute_growth_score(df, {})
-        assert scores.between(0, 100).all()
-
-    def test_profitability_no_crash(self):
-        df = pd.DataFrame([self.NULL_ROW])
-        scores = compute_profitability_score(df, {})
-        assert scores.between(0, 100).all()
-
-    def test_sentiment_no_crash(self):
-        df = pd.DataFrame([self.NULL_ROW])
-        scores = compute_sentiment_score(df)
-        assert scores.between(0, 100).all()
diff --git a/ui_mockup.html b/ui_mockup.html
deleted file mode 100644
index ea6cd11..0000000
--- a/ui_mockup.html
+++ /dev/null
@@ -1,1245 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-<meta charset="UTF-8">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-<title>Verimund — UI Mockup</title>
-<style>
-* { box-sizing: border-box; margin: 0; padding: 0; }
-
-:root {
-  --bg:       #0a0a0a;
-  --bg2:      #111111;
-  --bg3:      #181818;
-  --border:   #222222;
-  --fg:       #ffffff;
-  --fg2:      #888888;
-  --fg3:      #3a3a3a;
-  --positive: #4ade80;
-  --negative: #f87171;
-  --warning:  #fbbf24;
-}
-
-* { box-sizing: border-box; margin: 0; padding: 0; }
-body {
-  background: var(--bg); color: var(--fg);
-  font-family: 'Segoe UI', system-ui, -apple-system, sans-serif;
-  font-size: 13px; height: 100vh; overflow: hidden;
-  -webkit-font-smoothing: antialiased;
-}
-
-.app { display: flex; height: 100vh; }
-
-/* ── SIDEBAR ─────────────────────────────────── */
-.sidebar {
-  width: 72px; background: var(--bg2);
-  border-right: 1px solid var(--border);
-  display: flex; flex-direction: column; align-items: center;
-  padding: 16px 0 12px; flex-shrink: 0; z-index: 10;
-}
-.sidebar-logo {
-  width: 36px; height: 36px; background: var(--fg); color: var(--bg);
-  border-radius: 8px; display: flex; align-items: center; justify-content: center;
-  font-weight: 900; font-size: 15px; margin-bottom: 28px;
-  letter-spacing: -0.03em; user-select: none;
-}
-.sidebar-nav { display: flex; flex-direction: column; gap: 2px; width: 100%; padding: 0 8px; flex: 1; }
-.nav-item {
-  display: flex; flex-direction: column; align-items: center; gap: 5px;
-  padding: 9px 0; border-radius: 8px; cursor: pointer; color: var(--fg3);
-  transition: color 0.15s; position: relative; user-select: none;
-}
-.nav-item:hover { color: var(--fg2); }
-.nav-item.active { color: var(--fg); }
-.nav-item.active::before {
-  content: ''; position: absolute; left: -8px; top: 50%; transform: translateY(-50%);
-  width: 3px; height: 22px; background: var(--fg); border-radius: 0 2px 2px 0;
-}
-.nav-icon { font-size: 17px; line-height: 1; }
-.nav-label { font-size: 10px; font-weight: 500; letter-spacing: 0.02em; }
-.sidebar-bottom { padding: 0 8px; width: 100%; }
-
-/* ── MAIN ──────────────────────────────────────── */
-.main { flex: 1; display: flex; flex-direction: column; overflow: hidden; min-width: 0; }
-.page { display: none; flex: 1; flex-direction: column; overflow: hidden; min-height: 0; }
-.page.active { display: flex; }
-
-/* ── TOOLBAR ───────────────────────────────────── */
-.toolbar {
-  padding: 10px 16px; border-bottom: 1px solid var(--border);
-  background: var(--bg2); flex-shrink: 0;
-  display: flex; align-items: center; gap: 8px;
-}
-.toolbar-row { display: contents; }
-
-/* Pill groups */
-.pill-group {
-  display: inline-flex; align-items: stretch;
-  border: 1px solid var(--border); border-radius: 8px;
-  overflow: hidden;
-}
-.pill-btn {
-  display: flex; align-items: center; gap: 6px;
-  padding: 6px 14px; font-size: 12px; font-weight: 600;
-  cursor: pointer; border: none; background: transparent;
-  color: var(--fg2); white-space: nowrap; font-family: inherit;
-  border-right: 1px solid var(--border); transition: background 0.12s, color 0.12s;
-}
-.pill-btn:last-child { border-right: none; }
-.pill-btn:hover { background: rgba(255,255,255,0.04); color: var(--fg); }
-.pill-btn.run {
-  background: var(--fg); color: var(--bg); font-weight: 700; letter-spacing: 0.01em;
-}
-.pill-btn.run:hover { opacity: 0.88; background: var(--fg); }
-.pill-btn.stop { color: var(--fg3); cursor: not-allowed; opacity: 0.4; }
-
-select.pill-sel {
-  -webkit-appearance: none; appearance: none;
-  background: transparent;
-  background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='8' height='5' viewBox='0 0 8 5'%3E%3Cpath d='M0 0l4 5 4-5z' fill='%23555'/%3E%3C/svg%3E");
-  background-repeat: no-repeat; background-position: right 9px center;
-  color: var(--fg2); border: none;
-  border-right: 1px solid var(--border);
-  padding: 6px 26px 6px 12px; font-size: 12px;
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-  <!-- ── SIDEBAR ────────────────────────────────── -->
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-    <div class="sidebar-logo">V</div>
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-      <div class="nav-item active" onclick="setPage('screener',this)">
-        <span class="nav-icon">⊞</span><span class="nav-label">Screener</span>
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-        <span class="nav-icon">⌕</span><span class="nav-label">Search</span>
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-        <span class="nav-icon">↗</span><span class="nav-label">Tracking</span>
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-    <div class="sidebar-bottom">
-      <div class="nav-item" onclick="setPage('settings',this)">
-        <span class="nav-icon">⚙</span><span class="nav-label">Settings</span>
-      </div>
-    </div>
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-
-  <!-- ── MAIN ───────────────────────────────────── -->
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-
-    <!-- ══════════════ SCREENER PAGE ══════════════ -->
-    <div class="page active" id="page-screener">
-      <div class="toolbar">
-        <!-- Row 1: actions + universe filters -->
-        <div class="toolbar-row">
-          <div class="pill-group">
-            <button class="pill-btn run">▶&nbsp; Run</button>
-            <button class="pill-btn stop">■&nbsp; Stop</button>
-          </div>
-          <div class="pill-group">
-            <select class="pill-sel">
-              <option>S&amp;P 500</option><option>Russell 2000</option>
-              <option>Nasdaq 100</option><option>Dow Jones 30</option>
-            </select>
-            <select class="pill-sel">
-              <option>All Sectors</option><option>Technology</option>
-              <option>Financials</option><option>Healthcare</option>
-              <option>Energy</option><option>Industrials</option>
-            </select>
-          </div>
-        </div>
-        <!-- Row 2: strategy + display + filters -->
-        <div class="toolbar-row">
-          <div class="pill-group">
-            <select class="pill-sel" style="min-width:110px">
-              <option>Balanced</option><option>Value</option>
-              <option>Growth</option><option>Momentum</option>
-              <option>Quality</option><option>Dividend</option>
-              <option>Custom…</option>
-            </select>
-            <select class="pill-sel" style="min-width:68px">
-              <option>100</option><option>200</option>
-              <option>300</option><option>500</option><option>All</option>
-            </select>
-          </div>
-          <div class="pill-solo">⚙&nbsp; Filters</div>
-          <span class="toolbar-ts">Last run: 4 mins ago</span>
-        </div>
-      </div>
-      <div class="progress-wrap"><div class="progress-fill" style="width:100%"></div></div>
-
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-
-        <!-- Stock list -->
-        <div class="stock-list">
-          <div class="list-header">
-            <span class="list-header-title">Results</span>
-            <span class="list-header-count">87 stocks</span>
-          </div>
-          <div class="stock-table-scroll">
-            <table class="stocks">
-              <thead><tr><th>#</th><th>Ticker</th><th>Name</th><th class="r">Score</th></tr></thead>
-              <tbody id="stock-tbody"></tbody>
-            </table>
-          </div>
-        </div>
-
-        <!-- Detail panel -->
-        <div class="detail-panel">
-          <div class="detail-empty" id="detail-empty">← Select a stock to view details</div>
-          <div class="detail-filled" id="detail-filled" style="display:none">
-            <div class="detail-header">
-              <div class="detail-ticker-row">
-                <span class="detail-ticker" id="d-ticker"></span>
-                <span class="detail-name" id="d-name"></span>
-                <span class="detail-sector" id="d-sector"></span>
-              </div>
-            </div>
-            <div class="detail-tabs" id="detail-tabs">
-              <div class="dtab active" onclick="setTab('scores',this,'detail-tabs','detail-body')">Scores</div>
-              <div class="dtab" onclick="setTab('valuation',this,'detail-tabs','detail-body')">Valuation</div>
-              <div class="dtab" onclick="setTab('growth',this,'detail-tabs','detail-body')">Growth</div>
-              <div class="dtab" onclick="setTab('momentum',this,'detail-tabs','detail-body')">Momentum</div>
-              <div class="dtab" onclick="setTab('quality',this,'detail-tabs','detail-body')">Quality &amp; Profit</div>
-              <div class="dtab" onclick="setTab('analyst',this,'detail-tabs','detail-body')">Analyst</div>
-              <div class="dtab" onclick="setTab('chart',this,'detail-tabs','detail-body')">Chart</div>
-            </div>
-            <div class="detail-body" id="detail-body">
-
-              <!-- SCORES -->
-              <div class="tab-pane active" id="tab-scores">
-                <div class="metrics-grid span-first" style="grid-template-columns:1fr">
-                  <div class="mc"
-                    data-tip="Composite Score|Weighted aggregate of all 8 scoring factors — value, growth, momentum, quality, profitability, sentiment, analyst, and risk.|Higher is always better. 80+ = strong buy candidate. 50 = sector median."
-                  >
-                    <div class="mc-label">Composite Score</div>
-                    <div class="mc-val pos" id="sc-composite">82</div>
-                    <div class="mc-sub pos" id="sc-composite-tier">Excellent</div>
-                  </div>
-                </div>
-                <div style="height:1px"></div>
-                <div class="metrics-grid" id="scores-grid">
-                  <div class="mc" data-tip="Value Score|How cheaply the stock trades relative to its fundamentals — P/E, P/B, EV/EBITDA, EV/Revenue — all normalized against sector peers.|50 = sector median. Above 70 = attractively priced. Below 40 = expensive vs. peers.">
-                    <div class="mc-label">Value</div>
-                    <div class="mc-val" id="sc-value">54</div>
-                    <div class="mc-sub" id="sc-value-tier">Moderate</div>
-                  </div>
-                  <div class="mc" data-tip="Growth Score|Revenue growth, earnings growth, and EPS expansion — all z-scored against sector peers and blended by strategy weight.|50 = sector median. Above 70 = top-quartile grower.">
-                    <div class="mc-label">Growth</div>
-                    <div class="mc-val" id="sc-growth">73</div>
-                    <div class="mc-sub pos" id="sc-growth-tier">Strong</div>
-                  </div>
-                  <div class="mc" data-tip="Momentum Score|Price returns over 1M, 3M, 6M, and 12M, each weighted and z-scored against sector. Captures trend persistence.|50 = sector median. Scores above 75 indicate sustained relative outperformance.">
-                    <div class="mc-label">Momentum</div>
-                    <div class="mc-val" id="sc-momentum">62</div>
-                    <div class="mc-sub" id="sc-momentum-tier">Moderate</div>
-                  </div>
-                  <div class="mc" data-tip="Quality Score|Balance sheet strength: ROA, ROE, debt-to-equity ratio, current ratio, and Piotroski F-Score (0–9 binary checklist).|50 = sector median. Piotroski 8–9 = financially sound. D/E normalized against sector type.">
-                    <div class="mc-label">Quality</div>
-                    <div class="mc-val" id="sc-quality">79</div>
-                    <div class="mc-sub pos" id="sc-quality-tier">Strong</div>
-                  </div>
-                  <div class="mc" data-tip="Profitability Score|Operating margin, profit margin, FCF yield, and Sloan accruals ratio (measures earnings quality — cash-backed vs. accrual-based income).|50 = sector median. Negative accruals ratio = earnings well-backed by cash flow.">
-                    <div class="mc-label">Profitability</div>
-                    <div class="mc-val" id="sc-profit">65</div>
-                    <div class="mc-sub" id="sc-profit-tier">Moderate</div>
-                  </div>
-                  <div class="mc" data-tip="Sentiment Score|News sentiment score (NLP on recent headlines) weighted by headline volume, combined with analyst consensus direction.|Low headline count reduces score confidence. Score above 70 = broadly positive narrative.">
-                    <div class="mc-label">Sentiment</div>
-                    <div class="mc-val" id="sc-sentiment">71</div>
-                    <div class="mc-sub pos" id="sc-sentiment-tier">Strong</div>
-                  </div>
-                  <div class="mc" data-tip="Analyst Score|Analyst consensus recommendation strength, number of covering analysts, and % upside to consensus price target.|More analysts = higher confidence. Upside > 15% with Buy consensus = high score.">
-                    <div class="mc-label">Analyst</div>
-                    <div class="mc-val muted" id="sc-analyst">55</div>
-                    <div class="mc-sub" id="sc-analyst-tier">Moderate</div>
-                  </div>
-                  <div class="mc" data-tip="Risk Score|Inverse of volatility and market beta. Higher score = lower risk profile. Short interest % of float also penalizes score.|Score above 70 = low-volatility, low-beta profile. Below 40 = elevated risk / high short interest.">
-                    <div class="mc-label">Risk</div>
-                    <div class="mc-val" id="sc-risk">68</div>
-                    <div class="mc-sub" id="sc-risk-tier">Moderate</div>
-                  </div>
-                </div>
-              </div>
-
-              <!-- VALUATION -->
-              <div class="tab-pane" id="tab-valuation">
-                <p class="section-hd">Valuation Metrics</p>
-                <div class="metrics-grid">
-                  <div class="mc" data-tip="Price|Current last-traded market price per share.">
-                    <div class="mc-label">Price</div><div class="mc-val">$213.49</div></div>
-                  <div class="mc" data-tip="Market Capitalization|Total shares outstanding × current price. Determines index eligibility and institutional coverage.">
-                    <div class="mc-label">Market Cap</div><div class="mc-val">$3.28T</div></div>
-                  <div class="mc" data-tip="P/E Forward|Price divided by consensus forward 12-month EPS estimate. Primary valuation metric used in scoring.|Lower = cheaper. Sector median shown in score context.">
-                    <div class="mc-label">P/E Forward</div><div class="mc-val">28.4×</div></div>
-                  <div class="mc" data-tip="P/E Trailing|Price divided by trailing 12-month (TTM) actual earnings per share.|Useful for comparing to forward P/E — a large gap suggests analyst optimism.">
-                    <div class="mc-label">P/E Trailing</div><div class="mc-val muted">32.1×</div></div>
-                  <div class="mc" data-tip="P/B Ratio|Price divided by book value per share. High P/B is common for asset-light businesses with strong intangibles.">
-                    <div class="mc-label">P/B Ratio</div><div class="mc-val">47.2×</div></div>
-                  <div class="mc" data-tip="Book Value Per Share|Total shareholder equity divided by shares outstanding. Theoretical liquidation value per share.">
-                    <div class="mc-label">Book Value</div><div class="mc-val muted">$4.52</div></div>
-                  <div class="mc" data-tip="EV / EBITDA|Enterprise value divided by EBITDA. Capital-structure-neutral valuation — better than P/E for comparing companies with different leverage.">
-                    <div class="mc-label">EV / EBITDA</div><div class="mc-val">22.3×</div></div>
-                  <div class="mc" data-tip="EV / Revenue|Enterprise value divided by trailing revenue. Used for early-stage or low-margin companies where EBITDA is small or negative.">
-                    <div class="mc-label">EV / Revenue</div><div class="mc-val">8.4×</div></div>
-                  <div class="mc" data-tip="52-Week High|Highest intraday price over the trailing 52 weeks. Current price at 90% of 52W high.">
-                    <div class="mc-label">52W High</div><div class="mc-val muted">$237.23</div></div>
-                  <div class="mc" data-tip="52-Week Low|Lowest intraday price over the trailing 52 weeks. Current price is 30% above the 52W low.">
-                    <div class="mc-label">52W Low</div><div class="mc-val muted">$164.08</div></div>
-                </div>
-              </div>
-
-              <!-- GROWTH -->
-              <div class="tab-pane" id="tab-growth">
-                <p class="section-hd">Growth Metrics</p>
-                <div class="metrics-grid">
-                  <div class="mc" data-tip="Revenue Growth|Year-over-year change in trailing 12-month revenue. Sourced from EDGAR XBRL frames.|Above sector median contributes to a higher Growth score.">
-                    <div class="mc-label">Revenue Growth</div><div class="mc-val pos">+4.2%</div></div>
-                  <div class="mc" data-tip="Earnings Growth|Year-over-year change in trailing 12-month net income.|Compared against sector peers in z-score normalization.">
-                    <div class="mc-label">Earnings Growth</div><div class="mc-val pos">+8.7%</div></div>
-                  <div class="mc" data-tip="EPS Forward|Consensus analyst estimate for earnings per share over the next 12 months.|Used in forward P/E calculation and growth trajectory assessment.">
-                    <div class="mc-label">EPS Forward</div><div class="mc-val">$7.52</div></div>
-                  <div class="mc" data-tip="EPS Trailing|Actual earnings per share over the trailing 12 months (TTM).|Comparing to forward EPS: +13% implied growth expected by analysts.">
-                    <div class="mc-label">EPS Trailing</div><div class="mc-val muted">$6.65</div></div>
-                </div>
-              </div>
-
-              <!-- MOMENTUM -->
-              <div class="tab-pane" id="tab-momentum">
-                <p class="section-hd">Price Returns</p>
-                <div class="metrics-grid">
-                  <div class="mc" data-tip="1-Month Return|Total price return over the trailing 1 calendar month.|Short-term momentum signal. Weighted at 15% of the Momentum score.">
-                    <div class="mc-label">1-Month Return</div><div class="mc-val pos">+3.2%</div></div>
-                  <div class="mc" data-tip="3-Month Return|Total price return over the trailing 3 months.|Medium-term momentum. Weighted at 25% of the Momentum score.">
-                    <div class="mc-label">3-Month Return</div><div class="mc-val neg">−1.4%</div></div>
-                  <div class="mc" data-tip="6-Month Return|Total price return over the trailing 6 months.|Primary momentum window. Weighted at 35% of the Momentum score.">
-                    <div class="mc-label">6-Month Return</div><div class="mc-val pos">+8.9%</div></div>
-                  <div class="mc" data-tip="12-Month Return|Total price return over the trailing 12 months.|Long-term momentum. Weighted at 25% of the Momentum score.">
-                    <div class="mc-label">12-Month Return</div><div class="mc-val pos">+18.3%</div></div>
-                </div>
-              </div>
-
-              <!-- QUALITY & PROFIT -->
-              <div class="tab-pane" id="tab-quality">
-                <p class="section-hd">Income &amp; Cash Flow</p>
-                <div class="metrics-grid" style="margin-bottom:1px">
-                  <div class="mc" data-tip="Revenue (TTM)|Trailing 12-month total revenue. Sum of 4 most recent quarters from EDGAR XBRL.|Minimum 4 quarters required — partial-year totals excluded to avoid distortion.">
-                    <div class="mc-label">Revenue (TTM)</div><div class="mc-val">$391.0B</div></div>
-                  <div class="mc" data-tip="Net Income|Trailing 12-month net income after tax. Revenue × net profit margin.">
-                    <div class="mc-label">Net Income</div><div class="mc-val">$93.7B</div></div>
-                  <div class="mc" data-tip="Operating Income|Earnings before interest and taxes (EBIT) over trailing 12 months.|Excludes one-time items. Better measure of recurring business profitability.">
-                    <div class="mc-label">Operating Income</div><div class="mc-val">$108.9B</div></div>
-                  <div class="mc" data-tip="Total Cash|Cash and short-term investments on the most recent balance sheet.|Apple holds $61.8B cash vs. $96.8B debt — net debt of $35.0B.">
-                    <div class="mc-label">Total Cash</div><div class="mc-val">$61.8B</div></div>
-                </div>
-                <p class="section-hd" style="margin-top:14px">Balance Sheet</p>
-                <div class="metrics-grid" style="margin-bottom:1px">
-                  <div class="mc" data-tip="Total Debt|Total short-term + long-term debt obligations from the most recent balance sheet.">
-                    <div class="mc-label">Total Debt</div><div class="mc-val muted">$96.8B</div></div>
-                  <div class="mc" data-tip="Total Equity|Total shareholder equity (assets minus liabilities). Derived from D/E ratio.|Note: Apple's equity is low relative to its earnings power — common for buyback-heavy companies.">
-                    <div class="mc-label">Total Equity</div><div class="mc-val muted">$67.0B</div></div>
-                  <div class="mc" data-tip="Current Ratio|Current assets divided by current liabilities. Below 1.0 means more short-term liabilities than assets.|Apple's 0.87 is below 1 — normal for a company with large supplier payables and predictable cash generation.">
-                    <div class="mc-label">Current Ratio</div><div class="mc-val neg">0.87</div></div>
-                  <div class="mc" data-tip="Debt / Equity Ratio|Total debt divided by total equity. Higher = more leveraged. Normalized against sector median in Quality scoring.|yFinance D/E is scaled (÷100) to match EDGAR ratio format before comparison.">
-                    <div class="mc-label">D/E Ratio</div><div class="mc-val muted">1.44</div></div>
-                </div>
-                <p class="section-hd" style="margin-top:14px">Margins &amp; Returns</p>
-                <div class="metrics-grid">
-                  <div class="mc" data-tip="Return on Equity|Net income divided by average shareholder equity. Apple's 147% reflects both high profitability and aggressive buybacks reducing equity base.">
-                    <div class="mc-label">ROE</div><div class="mc-val pos">147.3%</div></div>
-                  <div class="mc" data-tip="Return on Assets|Net income divided by total assets. Measures how efficiently management uses assets to generate profit.">
-                    <div class="mc-label">ROA</div><div class="mc-val pos">22.1%</div></div>
-                  <div class="mc" data-tip="Profit Margin|Net income as a percentage of revenue (TTM). Used in Profitability score z-scoring vs. sector.|$93.7B net income on $391.0B revenue.">
-                    <div class="mc-label">Profit Margin</div><div class="mc-val pos">23.97%</div><div class="mc-sub">$93.7B net</div></div>
-                  <div class="mc" data-tip="Operating Margin|Operating income as a percentage of revenue. Excludes tax and interest — pure business efficiency.|$108.9B operating income on $391.0B revenue.">
-                    <div class="mc-label">Operating Margin</div><div class="mc-val pos">27.84%</div><div class="mc-sub">$108.9B op.</div></div>
-                  <div class="mc" data-tip="Free Cash Flow Yield|Free cash flow (operating CF − capex) divided by market cap. Measures cash generation relative to price.|3.8% FCF yield is moderate for a mega-cap. Sector median ~2.4%.">
-                    <div class="mc-label">FCF Yield</div><div class="mc-val">3.8%</div></div>
-                  <div class="mc" data-tip="Dividend Yield|Annual dividend per share divided by current price.|Apple pays $1.00/share annually. Yield is intentionally low — capital return is primarily via buybacks ($90B+ annually).">
-                    <div class="mc-label">Dividend Yield</div><div class="mc-val muted">0.51%</div></div>
-                </div>
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-              <!-- ANALYST -->
-              <div class="tab-pane" id="tab-analyst">
-                <p class="section-hd">Analyst &amp; Market Data</p>
-                <div class="metrics-grid">
-                  <div class="mc" data-tip="Analyst Recommendation|Consensus buy/hold/sell rating aggregated across all covering analysts.|Buy consensus with 34 analysts = high-confidence signal.">
-                    <div class="mc-label">Recommendation</div><div class="mc-val pos">Buy</div></div>
-                  <div class="mc" data-tip="Analyst Count|Number of sell-side analysts actively covering this stock.|More analysts = higher signal confidence. &lt;5 analysts reduces the Analyst score weight.">
-                    <div class="mc-label"># Analysts</div><div class="mc-val">34</div></div>
-                  <div class="mc" data-tip="Consensus Price Target|Median analyst 12-month price target across all covering analysts.|$241.00 vs current $213.49 = 12.9% implied upside.">
-                    <div class="mc-label">Price Target</div><div class="mc-val">$241.00</div></div>
-                  <div class="mc" data-tip="Upside to Target|Percentage difference between consensus price target and current price.|(target / price − 1) × 100. Positive = underpriced vs. analyst consensus.">
-                    <div class="mc-label">Upside to Target</div><div class="mc-val pos">+12.9%</div></div>
-                  <div class="mc" data-tip="News Sentiment|NLP sentiment score derived from recent news headlines, weighted by headline volume.|Range 0–1. Above 0.6 = broadly positive narrative. Score confidence scales with headline count.">
-                    <div class="mc-label">News Sentiment</div><div class="mc-val">0.72</div></div>
-                  <div class="mc" data-tip="Short Interest|Percentage of float currently sold short (shortPercentOfFloat from yFinance).|Low short interest (0.8%) = limited bearish positioning. Above 10% = meaningful headwind.">
-                    <div class="mc-label">Short Interest</div><div class="mc-val muted">0.8%</div></div>
-                  <div class="mc" data-tip="Beta|Sensitivity of the stock's returns to the broader market (S&P 500 = 1.0).|1.24 = ~24% more volatile than the market. Used in Risk score calculation.">
-                    <div class="mc-label">Beta</div><div class="mc-val muted">1.24</div></div>
-                  <div class="mc" data-tip="30-Day Volatility|Annualized standard deviation of daily returns over the trailing 30 calendar days.|22.4% annualized = roughly 1.4% expected daily move (±1 std dev).">
-                    <div class="mc-label">30D Volatility</div><div class="mc-val muted">22.4%</div></div>
-                </div>
-                <div class="commentary-box">
-                  <div class="commentary-hd">Analyst Commentary <span class="verdict-pill">Strong Buy</span></div>
-                  <div class="comm-section">
-                    <div class="comm-title">SUMMARY</div>
-                    <div class="comm-text">Apple is a dominant consumer-tech franchise with exceptional cash generation and expanding services margin. Near-term headwinds from China exposure and a stretched P/E are offset by the compounding services flywheel and consistent capital return program.</div>
-                  </div>
-                  <div class="comm-section">
-                    <div class="comm-title">INVESTMENT THESIS</div>
-                    <div class="comm-text"><ul>
-                      <li><span class="comm-pos">Services revenue accelerating</span> — App Store, Apple TV+, iCloud growing at 12–15% YoY</li>
-                      <li><span class="comm-pos">FCF machine</span> — $100B+ annual free cash flow funds buybacks and dividends</li>
-                      <li><span class="comm-pos">ROE of 147%</span> indicates exceptional capital efficiency relative to peers</li>
-                      <li>iPhone installed base of 1.4B provides structural defensibility</li>
-                    </ul></div>
-                  </div>
-                  <div class="comm-section">
-                    <div class="comm-title">RISK FACTORS</div>
-                    <div class="comm-text"><ul>
-                      <li><span class="comm-neg">China revenue (17% of total)</span> — regulatory and tariff exposure</li>
-                      <li><span class="comm-neg">P/E of 32×</span> leaves limited margin of safety at current price</li>
-                      <li>Hardware saturation risk in mature iPhone markets</li>
-                    </ul></div>
-                  </div>
-                  <div class="comm-section">
-                    <div class="comm-title">NEWS HIGHLIGHTS</div>
-                    <div class="comm-text">
-                      <span class="comm-pos">+</span> <span class="comm-link">Apple Intelligence features drive record upgrade cycle — Bloomberg</span><br>
-                      <span class="comm-pos">+</span> <span class="comm-link">Services segment posts 14% growth beating estimates — Reuters</span><br>
-                      <span class="comm-neg">–</span> <span class="comm-link">DOJ widens antitrust probe into App Store fees — WSJ</span>
-                    </div>
-                  </div>
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-            <span class="detail-ticker">NVDA</span>
-            <span class="detail-name">Nvidia Corp</span>
-            <span class="detail-sector">· Technology</span>
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-          <div class="tab-pane active" id="tab-scores2">
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-              <div class="mc" data-tip="Composite Score|Weighted aggregate of all 8 scoring factors.|91/100 — Excellent. Top 5% of S&P 500 by composite rank.">
-                <div class="mc-label">Composite Score</div>
-                <div class="mc-val pos">91</div>
-                <div class="mc-sub pos">Excellent</div>
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-              <div class="mc" data-tip="Value Score|P/E, P/B, EV/EBITDA vs. sector peers.|42 — Below sector median. NVDA trades at a significant premium to the tech sector average, reflecting growth expectations.">
-                <div class="mc-label">Value</div><div class="mc-val neg">42</div><div class="mc-sub neg">Weak</div></div>
-              <div class="mc" data-tip="Growth Score|Revenue +122% YoY, earnings +581% YoY — extreme outlier vs. sector.|94 — Exceptional. Top 2% of universe.">
-                <div class="mc-label">Growth</div><div class="mc-val pos">94</div><div class="mc-sub pos">Exceptional</div></div>
-              <div class="mc" data-tip="Momentum Score|12M return +89.3%, 6M +38.7% — sustained outperformance.|88 — Strong. Multi-timeframe momentum alignment.">
-                <div class="mc-label">Momentum</div><div class="mc-val pos">88</div><div class="mc-sub pos">Strong</div></div>
-              <div class="mc" data-tip="Quality Score|ROE 123%, ROA 55%, low D/E ratio, strong Piotroski F-Score.|85 — Excellent balance sheet and capital efficiency.">
-                <div class="mc-label">Quality</div><div class="mc-val pos">85</div><div class="mc-sub pos">Excellent</div></div>
-              <div class="mc" data-tip="Profitability Score|48.9% profit margin, FCF yield 2.1%, strong accruals quality.|91 — Top-quartile profitability in the technology sector.">
-                <div class="mc-label">Profitability</div><div class="mc-val pos">91</div><div class="mc-sub pos">Exceptional</div></div>
-              <div class="mc" data-tip="Sentiment Score|Broadly positive news cycle, 62 analysts covering, strong buy consensus.|86 — Very positive sentiment across news and analyst community.">
-                <div class="mc-label">Sentiment</div><div class="mc-val pos">86</div><div class="mc-sub pos">Strong</div></div>
-              <div class="mc" data-tip="Analyst Score|62 analysts, Strong Buy consensus, $1,050 target = +19.9% upside.|92 — Deep coverage with very strong conviction.">
-                <div class="mc-label">Analyst</div><div class="mc-val pos">92</div><div class="mc-sub pos">Excellent</div></div>
-              <div class="mc" data-tip="Risk Score|Beta 1.71, elevated 30D volatility, significant drawdown risk if AI sentiment shifts.|44 — High-beta, high-volatility profile. Elevated risk for conservative portfolios.">
-                <div class="mc-label">Risk</div><div class="mc-val neg">44</div><div class="mc-sub neg">Elevated</div></div>
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-            <p class="section-hd">Valuation Metrics</p>
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-              <div class="mc" data-tip="Price|Current last-traded market price per share."><div class="mc-label">Price</div><div class="mc-val">$875.40</div></div>
-              <div class="mc" data-tip="Market Capitalization|Total shares outstanding × current price."><div class="mc-label">Market Cap</div><div class="mc-val">$2.15T</div></div>
-              <div class="mc" data-tip="P/E Forward|38.2× — premium to sector but supported by +122% revenue growth."><div class="mc-label">P/E Forward</div><div class="mc-val">38.2×</div></div>
-              <div class="mc" data-tip="P/E Trailing|56.4× trailing — high, reflecting how fast earnings have grown."><div class="mc-label">P/E Trailing</div><div class="mc-val muted">56.4×</div></div>
-              <div class="mc" data-tip="EV / EBITDA|46.7× — elevated, justified by dominant AI accelerator position."><div class="mc-label">EV / EBITDA</div><div class="mc-val">46.7×</div></div>
-              <div class="mc" data-tip="P/B Ratio|54.1× — asset-light GPU design company; book value understates true value."><div class="mc-label">P/B Ratio</div><div class="mc-val">54.1×</div></div>
-              <div class="mc" data-tip="52-Week High|$974.00 — current price is 10% below 52W high."><div class="mc-label">52W High</div><div class="mc-val muted">$974.00</div></div>
-              <div class="mc" data-tip="52-Week Low|$462.17 — current price is 89% above 52W low."><div class="mc-label">52W Low</div><div class="mc-val muted">$462.17</div></div>
-            </div>
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-          <div class="tab-pane" id="tab-growth2"><p class="section-hd">Growth Metrics</p><div class="metrics-grid"><div class="mc" data-tip="Revenue Growth|+122.4% YoY — driven by H100/H200 GPU data center demand."><div class="mc-label">Revenue Growth</div><div class="mc-val pos">+122.4%</div></div><div class="mc" data-tip="Earnings Growth|+581% YoY net income growth on operating leverage."><div class="mc-label">Earnings Growth</div><div class="mc-val pos">+581%</div></div><div class="mc" data-tip="EPS Forward|Consensus FY2025 estimate. Implies continued strong GPU demand."><div class="mc-label">EPS Forward</div><div class="mc-val">$22.89</div></div><div class="mc" data-tip="EPS Trailing|TTM actual. Forward/trailing gap implies 47% expected EPS growth."><div class="mc-label">EPS Trailing</div><div class="mc-val muted">$15.52</div></div></div></div>
-          <div class="tab-pane" id="tab-momentum2"><p class="section-hd">Price Returns</p><div class="metrics-grid"><div class="mc" data-tip="1-Month Return|+6.8% — short-term momentum intact."><div class="mc-label">1-Month Return</div><div class="mc-val pos">+6.8%</div></div><div class="mc" data-tip="3-Month Return|+14.2% — sustained medium-term strength."><div class="mc-label">3-Month Return</div><div class="mc-val pos">+14.2%</div></div><div class="mc" data-tip="6-Month Return|+38.7% — primary momentum window."><div class="mc-label">6-Month Return</div><div class="mc-val pos">+38.7%</div></div><div class="mc" data-tip="12-Month Return|+89.3% — one of the best performers in the S&P 500."><div class="mc-label">12-Month Return</div><div class="mc-val pos">+89.3%</div></div></div></div>
-          <div class="tab-pane" id="tab-quality2"><p class="section-hd">Quality &amp; Profitability</p><div class="metrics-grid"><div class="mc" data-tip="Revenue (TTM)|Trailing 12M revenue sourced from EDGAR XBRL."><div class="mc-label">Revenue (TTM)</div><div class="mc-val">$60.9B</div></div><div class="mc" data-tip="Net Income|TTM net income — 48.9% profit margin."><div class="mc-label">Net Income</div><div class="mc-val pos">$29.8B</div></div><div class="mc" data-tip="Return on Equity|123.4% — exceptional capital efficiency."><div class="mc-label">ROE</div><div class="mc-val pos">123.4%</div></div><div class="mc" data-tip="Return on Assets|55.2% — among highest in large-cap tech."><div class="mc-label">ROA</div><div class="mc-val pos">55.2%</div></div><div class="mc" data-tip="Profit Margin|48.9% net margin — premium fabless semiconductor margin."><div class="mc-label">Profit Margin</div><div class="mc-val pos">48.9%</div></div><div class="mc" data-tip="FCF Yield|2.1% — moderate given market cap size."><div class="mc-label">FCF Yield</div><div class="mc-val">2.1%</div></div></div></div>
-          <div class="tab-pane" id="tab-analyst2"><p class="section-hd">Analyst &amp; Market Data</p><div class="metrics-grid"><div class="mc" data-tip="Analyst Recommendation|Strong Buy consensus with 62 covering analysts — among the widest coverage in tech."><div class="mc-label">Recommendation</div><div class="mc-val pos">Strong Buy</div></div><div class="mc" data-tip="Analyst Count|62 covering analysts. Very high coverage depth = high signal confidence."><div class="mc-label"># Analysts</div><div class="mc-val">62</div></div><div class="mc" data-tip="Consensus Price Target|Median 12-month target. Implies 19.9% upside from current price."><div class="mc-label">Price Target</div><div class="mc-val">$1,050</div></div><div class="mc" data-tip="Upside to Target|+19.9% — analysts see meaningful upside despite YTD gains."><div class="mc-label">Upside to Target</div><div class="mc-val pos">+19.9%</div></div><div class="mc" data-tip="Short Interest|1.2% of float — minimal short positioning."><div class="mc-label">Short Interest</div><div class="mc-val muted">1.2%</div></div><div class="mc" data-tip="Beta|1.71 — significantly more volatile than the broader market."><div class="mc-label">Beta</div><div class="mc-val muted">1.71</div></div></div></div>
-          <div class="tab-pane chart-tab" id="tab-chart2">
-            <div class="chart-wrap">
-              <div class="chart-period-bar" id="cpbar2">
-                <div class="period-btn">1M</div><div class="period-btn">3M</div>
-                <div class="period-btn active">6M</div><div class="period-btn">1Y</div>
-                <div class="period-btn">2Y</div><div class="period-btn">5Y</div>
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-              <canvas id="price-chart2"></canvas>
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-      <div class="status-bar">
-        <span class="status-l">Search for any stock by ticker or name</span>
-        <span class="status-r">Cache: 4,200 stocks · updated 4 mins ago</span>
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-
-    <!-- ══════════════ TRACKING PAGE ══════════════ -->
-    <div class="page" id="page-tracking">
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-        <button class="snav-btn active" onclick="setTrackingTab('insider',this)">Insider Trades</button>
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-      <!-- INSIDER TRADES -->
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-        <div class="tracking-toolbar">
-          <span class="tr-label">Insider Transactions</span>
-          <div class="tr-sep"></div>
-          <div class="tperiod-btn">Today</div><div class="tperiod-btn active">1W</div>
-          <div class="tperiod-btn">2W</div><div class="tperiod-btn">1M</div>
-          <div class="tr-sep"></div>
-          <div class="tperiod-btn active">All</div><div class="tperiod-btn">Buys</div><div class="tperiod-btn">Sales</div>
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-          <span class="tr-status">24 transactions loaded</span>
-        </div>
-        <div class="tracking-table-scroll">
-          <table class="tr-table">
-            <thead><tr>
-              <th>Date</th><th>Ticker</th><th>Company</th><th>Insider</th><th>Title</th>
-              <th>Type</th><th class="r">Shares</th><th class="r">Price</th><th class="r">Value</th><th class="r">After</th>
-            </tr></thead>
-            <tbody>
-              <tr><td class="dimmed">Mar 28</td><td style="font-weight:700">NVDA</td><td class="muted">Nvidia Corp</td><td>Jensen Huang</td><td class="muted">CEO</td><td><span class="type-sale">Sale</span></td><td class="r">120,000</td><td class="r">$878.40</td><td class="r">$105.4M</td><td class="r dimmed">887,432</td></tr>
-              <tr><td class="dimmed">Mar 27</td><td style="font-weight:700">MSFT</td><td class="muted">Microsoft Corp</td><td>Satya Nadella</td><td class="muted">CEO</td><td><span class="type-sale">Sale</span></td><td class="r">14,500</td><td class="r">$424.10</td><td class="r">$6.2M</td><td class="r dimmed">1,234,000</td></tr>
-              <tr><td class="dimmed">Mar 27</td><td style="font-weight:700">META</td><td class="muted">Meta Platforms</td><td>Mark Zuckerberg</td><td class="muted">CEO</td><td><span class="type-sale">Sale</span></td><td class="r">85,000</td><td class="r">$513.20</td><td class="r">$43.6M</td><td class="r dimmed">342,110,009</td></tr>
-              <tr><td class="dimmed">Mar 26</td><td style="font-weight:700">JPM</td><td class="muted">JPMorgan Chase</td><td>Daniel Pinto</td><td class="muted">President</td><td><span class="type-buy">Buy</span></td><td class="r">22,000</td><td class="r">$196.30</td><td class="r">$4.3M</td><td class="r dimmed">214,500</td></tr>
-              <tr><td class="dimmed">Mar 26</td><td style="font-weight:700">AMZN</td><td class="muted">Amazon.com</td><td>Andy Jassy</td><td class="muted">CEO</td><td><span class="type-award">Award</span></td><td class="r">62,500</td><td class="r">$183.22</td><td class="r">$11.5M</td><td class="r dimmed">1,840,000</td></tr>
-              <tr><td class="dimmed">Mar 25</td><td style="font-weight:700">GOOGL</td><td class="muted">Alphabet Inc</td><td>Sundar Pichai</td><td class="muted">CEO</td><td><span class="type-sale">Sale</span></td><td class="r">41,200</td><td class="r">$168.40</td><td class="r">$6.9M</td><td class="r dimmed">928,100</td></tr>
-              <tr><td class="dimmed">Mar 25</td><td style="font-weight:700">XOM</td><td class="muted">Exxon Mobil</td><td>Darren Woods</td><td class="muted">CEO</td><td><span class="type-buy">Buy</span></td><td class="r">15,000</td><td class="r">$112.80</td><td class="r">$1.7M</td><td class="r dimmed">473,200</td></tr>
-              <tr><td class="dimmed">Mar 24</td><td style="font-weight:700">UNH</td><td class="muted">UnitedHealth Group</div></td><td>Andrew Witty</td><td class="muted">CEO</td><td><span class="type-buy">Buy</span></td><td class="r">5,000</td><td class="r">$493.10</td><td class="r">$2.5M</td><td class="r dimmed">88,400</td></tr>
-              <tr><td class="dimmed">Mar 24</td><td style="font-weight:700">TSLA</td><td class="muted">Tesla Inc</td><td>Elon Musk</td><td class="muted">CEO</td><td><span class="type-award">Award</span></td><td class="r">304,000</td><td class="r">$174.50</td><td class="r">$53.1M</td><td class="r dimmed">411,062,512</td></tr>
-              <tr><td class="dimmed">Mar 23</td><td style="font-weight:700">AAPL</td><td class="muted">Apple Inc</td><td>Luca Maestri</td><td class="muted">CFO</td><td><span class="type-sale">Sale</span></td><td class="r">18,300</td><td class="r">$211.90</td><td class="r">$3.9M</td><td class="r dimmed">106,200</td></tr>
-            </tbody>
-          </table>
-        </div>
-        <div class="status-bar">
-          <span class="status-l">24 transactions · last 7 days · click any row to view SEC filing</span>
-          <span class="status-r">Data: SEC EDGAR Form 4</span>
-        </div>
-      </div>
-
-      <!-- HEDGE FUNDS -->
-      <div class="tpage" id="tpage-hedgefund">
-        <div class="tracking-toolbar">
-          <span class="tr-label">Hedge Fund Holdings (13F-HR)</span>
-          <div class="tr-sep"></div>
-          <div class="tperiod-btn">30D</div><div class="tperiod-btn">60D</div>
-          <div class="tperiod-btn active">90D</div><div class="tperiod-btn">180D</div>
-          <div class="tr-sep"></div>
-          <div class="tperiod-btn active">All</div><div class="tperiod-btn">$1M+</div>
-          <div class="tperiod-btn">$10M+</div><div class="tperiod-btn">$100M+</div>
-          <button class="btn-refresh">↻ Refresh</button>
-          <span class="tr-status">156 holdings loaded</span>
-        </div>
-        <div class="tracking-table-scroll">
-          <table class="tr-table">
-            <thead><tr>
-              <th>Filed</th><th>Fund</th><th>Company</th>
-              <th class="r">Shares</th><th class="r">Value</th><th>Class</th><th>Opt</th>
-            </tr></thead>
-            <tbody>
-              <tr><td class="dimmed">Mar 15</td><td style="font-weight:600">Pershing Square Capital</td><td class="muted">Alphabet Inc (GOOGL)</td><td class="r">18,500,000</td><td class="r" style="color:var(--positive)">$3.11B</td><td class="dimmed">A</td><td class="dimmed">—</td></tr>
-              <tr><td class="dimmed">Mar 15</td><td style="font-weight:600">Bridgewater Associates</td><td class="muted">Apple Inc (AAPL)</td><td class="r">12,400,000</td><td class="r" style="color:var(--positive)">$2.65B</td><td class="dimmed">—</td><td class="dimmed">—</td></tr>
-              <tr><td class="dimmed">Mar 14</td><td style="font-weight:600">Tiger Global Mgmt</td><td class="muted">Microsoft Corp (MSFT)</td><td class="r">4,200,000</td><td class="r">$1.78B</td><td class="dimmed">—</td><td class="dimmed">—</td></tr>
-              <tr><td class="dimmed">Mar 14</td><td style="font-weight:600">Third Point LLC</td><td class="muted">Nvidia Corp (NVDA)</td><td class="r">1,850,000</td><td class="r">$1.62B</td><td class="dimmed">—</td><td class="dimmed">—</td></tr>
-              <tr><td class="dimmed">Mar 12</td><td style="font-weight:600">Renaissance Technologies</td><td class="muted">Meta Platforms (META)</td><td class="r">3,100,000</td><td class="r">$1.59B</td><td class="dimmed">A</td><td class="dimmed">—</td></tr>
-              <tr><td class="dimmed">Mar 12</td><td style="font-weight:600">Baupost Group</td><td class="muted">Amazon.com (AMZN)</td><td class="r">7,800,000</td><td class="r">$1.43B</td><td class="dimmed">—</td><td class="dimmed">Call</td></tr>
-              <tr><td class="dimmed">Mar 11</td><td style="font-weight:600">D.E. Shaw Group</td><td class="muted">Tesla Inc (TSLA)</td><td class="r">9,200,000</td><td class="r">$1.31B</td><td class="dimmed">—</td><td class="dimmed">—</td></tr>
-              <tr><td class="dimmed">Mar 10</td><td style="font-weight:600">Citadel Advisors</td><td class="muted">JPMorgan Chase (JPM)</td><td class="r">6,400,000</td><td class="r">$1.26B</td><td class="dimmed">—</td><td class="dimmed">—</td></tr>
-              <tr><td class="dimmed">Mar 10</td><td style="font-weight:600">Appaloosa Mgmt</td><td class="muted">Nvidia Corp (NVDA)</td><td class="r">1,100,000</td><td class="r">$964M</td><td class="dimmed">—</td><td class="dimmed">Put</td></tr>
-              <tr><td class="dimmed">Mar 8</td><td style="font-weight:600">Lone Pine Capital</td><td class="muted">UnitedHealth Group (UNH)</td><td class="r">1,920,000</td><td class="r">$947M</td><td class="dimmed">—</td><td class="dimmed">—</td></tr>
-            </tbody>
-          </table>
-        </div>
-        <div class="status-bar">
-          <span class="status-l">156 holdings · last 90 days · click any row to view SEC 13F filing</span>
-          <span class="status-r">Data: SEC EDGAR 13F-HR</span>
-        </div>
-      </div>
-    </div><!-- /tracking page -->
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-  const vTop = pBot + gap;
-  const vBot = vTop + volH;
-  const maxVol = Math.max(...volumes);
-  const barW = Math.max(1, cw / n - 1);
-
-  volumes.forEach((v,i) => {
-    const bh = (v / maxVol) * volH;
-    const bx = pad.left + (i/(n-1))*cw - barW/2;
-    const isUp = i === 0 || prices[i] >= prices[i-1];
-    ctx.fillStyle = isUp ? 'rgba(74,222,128,0.55)' : 'rgba(248,113,113,0.55)';
-    ctx.fillRect(bx, vBot - bh, barW, bh);
-  });
-
-  // Volume baseline
-  ctx.strokeStyle='#333'; ctx.lineWidth=1;
-  ctx.beginPath(); ctx.moveTo(pad.left,vBot); ctx.lineTo(w-pad.right,vBot); ctx.stroke();
-
-  // ── X labels ─────────────────────────────────
-  _MONTH_LABELS.forEach((l,i,a) => {
-    ctx.fillStyle='#555'; ctx.font='10px Segoe UI,sans-serif'; ctx.textAlign='center';
-    ctx.fillText(l, pad.left+(i/(a.length-1))*cw, h - 8);
-  });
-
-  // ── Hover crosshair ───────────────────────────
-  if (hoverIdx >= 0 && hoverIdx < n) {
-    const hx = xOf(hoverIdx);
-    // Vertical line spanning both panels
-    ctx.setLineDash([3,3]);
-    ctx.strokeStyle = 'rgba(255,255,255,0.25)'; ctx.lineWidth = 1;
-    ctx.beginPath(); ctx.moveTo(hx, pTop); ctx.lineTo(hx, vBot); ctx.stroke();
-    ctx.setLineDash([]);
-    // Price dot
-    const hy = yP(prices[hoverIdx]);
-    ctx.beginPath(); ctx.arc(hx, hy, 5, 0, Math.PI*2);
-    ctx.fillStyle='#fff'; ctx.fill();
-    ctx.beginPath(); ctx.arc(hx, hy, 3, 0, Math.PI*2);
-    ctx.fillStyle='#181818'; ctx.fill();
-  }
-}
-
-// ── Chart hover interaction ─────────────────────────────────────────────────
-const _chartTip = document.getElementById('chart-tip');
-const _ctipDate  = document.getElementById('ctip-date');
-const _ctipPrice = document.getElementById('ctip-price');
-const _ctipChg   = document.getElementById('ctip-chg');
-const _ctipVol   = document.getElementById('ctip-vol');
-
-function _fmtVol(v) {
-  if (v >= 1e9) return (v/1e9).toFixed(2)+'B';
-  if (v >= 1e6) return (v/1e6).toFixed(1)+'M';
-  if (v >= 1e3) return (v/1e3).toFixed(0)+'K';
-  return v.toFixed(0);
-}
-
-function setupChartHover(canvasId, data) {
-  const canvas = document.getElementById(canvasId);
-  if (!canvas) return;
-  const { prices, volumes } = data;
-  const n = prices.length;
-
-  canvas.addEventListener('mousemove', e => {
-    const rect = canvas.getBoundingClientRect();
-    const mx = e.clientX - rect.left;
-    const pad = { left: 56, right: 20 };
-    const cw = rect.width - pad.left - pad.right;
-    const frac = (mx - pad.left) / cw;
-    const idx = Math.min(n-1, Math.max(0, Math.round(frac * (n-1))));
-
-    drawChart(canvasId, data, idx);
-
-    // Compute date label (fake: 120 days ending today)
-    const msPerDay = 86400000;
-    const endDate = new Date(); endDate.setHours(0,0,0,0);
-    const d = new Date(endDate.getTime() - (n - 1 - idx) * msPerDay);
-    const dateStr = d.toLocaleDateString('en-US', { month:'short', day:'numeric', year:'numeric' });
-
-    const pct = ((prices[idx] - prices[0]) / prices[0] * 100);
-    const pctStr = (pct >= 0 ? '+' : '') + pct.toFixed(2) + '%';
-
-    _ctipDate.textContent  = dateStr;
-    _ctipPrice.textContent = '$' + prices[idx].toFixed(2);
-    _ctipChg.textContent   = pctStr;
-    _ctipChg.style.color   = pct >= 0 ? '#4ade80' : '#f87171';
-    _ctipVol.textContent   = 'Vol ' + _fmtVol(volumes[idx]);
-
-    // Position tip
-    const vw = window.innerWidth, vh = window.innerHeight;
-    let tx = e.clientX + 16, ty = e.clientY - 60;
-    if (tx + 170 > vw) tx = e.clientX - 170;
-    if (ty < 8) ty = 8;
-    if (ty + 100 > vh) ty = vh - 108;
-    _chartTip.style.left = tx + 'px';
-    _chartTip.style.top  = ty + 'px';
-    _chartTip.classList.add('visible');
-  });
-
-  canvas.addEventListener('mouseleave', () => {
-    _chartTip.classList.remove('visible');
-    drawChart(canvasId, data);
-  });
-}
-
-// ── Period button interaction ───────────────────────────────────────────────
-document.querySelectorAll('.chart-period-bar').forEach(bar => {
-  bar.querySelectorAll('.period-btn').forEach(btn => {
-    btn.onclick = () => {
-      bar.querySelectorAll('.period-btn').forEach(b => b.classList.remove('active'));
-      btn.classList.add('active');
-    };
-  });
-});
-
-// ── Resize observer — redraw charts whenever container changes size ──────────
-const chartData = {
-  'price-chart':  genChartData(120, 170, 213),
-  'price-chart2': genChartData(120, 450, 875),
-};
-const ro = new ResizeObserver(() => {
-  ['price-chart', 'price-chart2'].forEach(id => {
-    const c = document.getElementById(id);
-    if (c && c.closest('.chart-tab.active')) drawChart(id, chartData[id]);
-  });
-});
-document.querySelectorAll('.chart-tab').forEach(el => ro.observe(el));
-
-// Set up hover on both charts
-setupChartHover('price-chart',  chartData['price-chart']);
-setupChartHover('price-chart2', chartData['price-chart2']);
-
-// ── Tooltip system ──────────────────────────────────────────────────────────
-const tip = document.getElementById('tooltip');
-const tipTitle = document.getElementById('tip-title');
-const tipDesc  = document.getElementById('tip-desc');
-const tipCtx   = document.getElementById('tip-context');
-
-let tipTimeout;
-
-document.addEventListener('mouseover', e => {
-  const cell = e.target.closest('.mc[data-tip]');
-  if (!cell) return;
-
-  const parts = cell.getAttribute('data-tip').split('|');
-  tipTitle.textContent = parts[0] || '';
-  tipDesc.textContent  = parts[1] || '';
-  tipCtx.innerHTML     = parts[2] || '';
-
-  clearTimeout(tipTimeout);
-  tip.classList.add('visible');
-});
-
-document.addEventListener('mousemove', e => {
-  if (!tip.classList.contains('visible')) return;
-  const vw = window.innerWidth, vh = window.innerHeight;
-  const tw = tip.offsetWidth + 16, th = tip.offsetHeight + 16;
-  let x = e.clientX + 14, y = e.clientY - 10;
-  if (x + tw > vw) x = e.clientX - tw;
-  if (y + th > vh) y = e.clientY - th;
-  if (y < 0) y = 8;
-  tip.style.left = x + 'px';
-  tip.style.top  = y + 'px';
-});
-
-document.addEventListener('mouseout', e => {
-  if (!e.target.closest('.mc[data-tip]')) return;
-  tipTimeout = setTimeout(() => tip.classList.remove('visible'), 80);
-});
-</script>
-</body>
-</html>
diff --git a/updater.py b/updater.py
index 6f715ef..2f8ef99 100644
--- a/updater.py
+++ b/updater.py
@@ -19,7 +19,7 @@ import requests
 # ---------------------------------------------------------------------------
 # Current app version — kept in sync by push_update.py before each build.
 # ---------------------------------------------------------------------------
-APP_VERSION = "1.4.8"
+APP_VERSION = "1.4.9"
 
 
 def _exe_dir() -> str: