Fix detail panel: 5 bugs causing all fields to show dashes

- _derive_row_extras -> _prepare_row_dict (undefined function call) - Define _GREEN_KEYS (NameError crashed _color_for_key loop) - Fix Q_ARG(object,...) in chart, search, insider trades, hedge funds - Fix total equity 100x overstatement (de_ratio already a true ratio) - Launch maximized on primary monitor instead of centered/split Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Fix missing os import in stock_screener; force app to open on primary monitor
2026-04-08 19:40:32 -04:00 · 2026-04-08 18:37:38 -04:00 · 2026-04-04 16:08:57 -04:00 · 2026-04-04 15:43:52 -04:00 · 2026-04-04 15:21:19 -04:00 · 2026-04-04 14:49:39 -04:00
23 changed files with 2921 additions and 6825 deletions
--- a/.claude/settings.local.json
+++ b/.claude/settings.local.json
@ -1,16 +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)"
    ]
  }
 }
--- a/.github/workflows/cache_refresh.yml
+++ b/.github/workflows/cache_refresh.yml
@ -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."
--- a/.gitignore
+++ b/.gitignore
--- a/CLAUDE.md
+++ b/CLAUDE.md
@ -0,0 +1,108 @@
 # Stock Tool — Claude Context
 ## Project Overview
 A multi-factor stock screener that evaluates ~6,500 US-listed equities using a composite
 score across 8 dimensions: Value, Growth, Momentum, Quality, Profitability, Sentiment,
 Analyst, and Risk. Sold as a licensed desktop app (PySide6 GUI).
 ## File Map
 | File | Purpose |
 |------|---------|
 | `dist/stock_screener.py` | All scoring logic, data fetching, index/ticker collection. Pure Python + pandas. |
 | `dist/screener_gui.py` | PySide6 GUI. Imports from `stock_screener`. Main class: `ScreenerApp(QMainWindow)`. |
 | `cache_builder.py` | Nightly job that populates PostgreSQL cache from EDGAR + yfinance. Runs on VPS via cron. |
 | `api/main.py` | FastAPI server on VPS. Handles license auth, cache serving, version management. |
 | `updater.py` | Client-side auto-updater. Checks `/update` endpoint, downloads new build. |
 | `license_check.py` | HMAC + JWT license validation. Baked into app via PyArmor. |
 | `push_update.py` | Dev tool: SCP new build to VPS + register version via `/admin/register-version`. |
 | `launcher.py` | Thin launcher that checks license before starting GUI. |
 | `health_monitor.py` | VPS health monitoring. |
 | `discord_bot/bot.py` | Discord bot integration (separate process). |
 ## Architecture (3-tier)
 ```
 [cache_builder.py]  →  [PostgreSQL on VPS]  →  [API]  →  [Client app]
     nightly                6 tables            FastAPI     screener_gui + stock_screener
 ```
 - `cache_builder.py` runs nightly (2am stable / 3am beta) via cron on the VPS
 - Data flows: EDGAR XBRL Frames API + yfinance → PostgreSQL tables → served by FastAPI
 - Client fetches cached data at startup via `/cache/analyst`, `/cache/fundamentals`, `/cache/sector`
 - Scoring runs entirely client-side in `stock_screener.py` — no server-side scoring
 ## PostgreSQL Tables (database: `verimund`, user: `verimund_user`)
 | Table | Contents |
 |-------|----------|
 | `analyst_cache` | Price history, returns, sentiment, analyst ratings, short interest (~6,975 rows) |
 | `fundamentals_cache` | EDGAR-sourced financials: revenue, margins, D/E, ROA/ROE, Piotroski, accruals |
 | `sector_stats` | Per-sector median/MAD for each metric. Used by `_z_score()` for normalization. |
 | `app_versions` | Version registry per channel (stable/beta). Read by `/admin/versions`. |
 | `licenses` | License keys + HWIDs + expiry. Validated at auth time. |
 | `auth_log` | Auth attempt log. |
 ## Scoring Formula
 ```
 Composite = 0.18*Value + 0.18*Growth + 0.14*Momentum + 0.11*Quality
          + 0.08*Profitability + 0.13*Sentiment + 0.10*Analyst + 0.08*Risk
 ```
 Each score is 0–100. Z-scores use sector median/MAD from `sector_stats` table.
 If sector stats are missing for a metric, `_z_score()` returns neutral 50.
 ## Profile System (important)
 `_classify_profile(row)` classifies each stock into one of:
 `mature`, `high_growth`, `financial`, `capital_intensive`, `early_stage`, `turnaround`
 Profiles define sub-weights per scoring dimension in `_PROFILE_WEIGHTS`.
 Weights are normalized in `_profile_score_row()` — they don't need to sum to 1.0 in the dict.
 **D/E handling**: yfinance returns `debtToEquity` as percentage (e.g. 150 = 1.5x).
 Code divides by 100 at ingest (`stock_screener.py` line ~1356).
 Negative D/E means negative book equity — replaced with 999.0 before z-scoring.
 ## Key Patterns
 - `_z_series(series, metric, sectors, sector_stats)` — vectorized z-score using sector stats
 - `_score_series(series, breakpoints)` — absolute breakpoint scoring (no sector normalization)
 - `_profile_score_row(row, dimension, metric_scores)` — blend metric scores using profile weights
 - All scoring functions signature: `compute_X_score(df, sector_stats=None) → pd.Series`
 ## VPS Infrastructure
 - **Provider**: Hetzner CPX21, Ubuntu 22.04
 - **Domains**: api.verimundsolutions.com (API), git.verimundsolutions.com (Gitea)
 - **API**: FastAPI via uvicorn, managed by PM2
 - **Secrets**: `/srv/api/.env` on VPS (DB_PASS, JWT_SECRET, HMAC_SECRET, ADMIN_KEY)
 - **Backups**: nightly rclone → Cloudflare R2 bucket `verimund-backups`
 - **Git**: Gitea at git.verimundsolutions.com, repo: ssz223/Stock-Tool, branches: main (stable) / beta
 - **Website**: Taken down intentionally (2026-04-03), will be re-done under different brand
 ## Running Tests
 ```bash
 # Fast tests (run automatically via hook on every edit):
 python -m pytest tests/test_scoring.py tests/test_gui.py -q
 # Full suite including network (run before pushing):
 python -m pytest tests/ -v
 # Network tests only:
 python -m pytest tests/test_network.py -v
 # Skip network tests:
 python -m pytest tests/ -m "not network" -v
 ```
 ## Known Pitfalls
 - `screener_gui.py` uses PySide6 (not PyQt5). Offscreen: `QT_QPA_PLATFORM=offscreen`
 - `screener_gui.py` imports from `stock_screener` (same dir) — tests must `cd dist/` or add dist to sys.path
 - EDGAR XBRL Frames API: one call per concept returns all US filers. Foreign/IFRS filers can have data 18 months old with no user-facing flag.
 - Sector stats built from `analyst_cache` in Phase 5 of cache_builder. If Phase 1 partially fails, sector medians are biased.
 - `_sum_frames` requires >= 4 quarters for valid TTM — returns None otherwise.
 - Forward PE not in sector stats — `_z_score` returns neutral 50 for forward PE z-scoring.
--- a/StockScreener.spec
+++ b/StockScreener.spec
@ -3,25 +3,31 @@ from PyInstaller.utils.hooks import collect_all
 datas = []
 binaries = []
-hiddenimports = ['pandas', 'numpy', 'yfinance', 'requests', 'lxml', 'lxml.etree', 'html5lib', 'bs4', 'appdirs', 'platformdirs', 'tkinter', 'tkinter.ttk', 'tkinter.messagebox', 'screener_gui', 'stock_screener', 'matplotlib', 'matplotlib.backends.backend_tkagg', 'matplotlib.figure', 'matplotlib.dates', 'matplotlib.ticker', 'winreg', 'ssl', '_ssl', 'certifi', 'charset_normalizer', 'hwid', 'license_check', 'activation_dialog', 'updater', 'vaderSentiment', 'vaderSentiment.vaderSentiment', 'pyarmor_runtime_000000']
+hiddenimports = [
-tmp_ret = collect_all('pandas')
+    'pandas', 'numpy', 'yfinance', 'requests',
-datas += tmp_ret[0]; binaries += tmp_ret[1]; hiddenimports += tmp_ret[2]
+    'lxml', 'lxml.etree', 'html5lib', 'bs4',
-tmp_ret = collect_all('numpy')
+    'appdirs', 'platformdirs',
-datas += tmp_ret[0]; binaries += tmp_ret[1]; hiddenimports += tmp_ret[2]
+    'tkinter', 'tkinter.ttk', 'tkinter.messagebox',
-tmp_ret = collect_all('yfinance')
+    'screener_gui', 'stock_screener',
-datas += tmp_ret[0]; binaries += tmp_ret[1]; hiddenimports += tmp_ret[2]
+    'matplotlib', 'matplotlib.backends.backend_qtagg',
-tmp_ret = collect_all('matplotlib')
+    'matplotlib.backends.backend_tkagg',
-datas += tmp_ret[0]; binaries += tmp_ret[1]; hiddenimports += tmp_ret[2]
+    'matplotlib.figure', 'matplotlib.dates', 'matplotlib.ticker',
-tmp_ret = collect_all('requests')
+    'winreg', 'ssl', '_ssl', 'certifi', 'charset_normalizer',
-datas += tmp_ret[0]; binaries += tmp_ret[1]; hiddenimports += tmp_ret[2]
+    'hwid', 'license_check', 'activation_dialog', 'updater',
-tmp_ret = collect_all('certifi')
+    'vaderSentiment', 'vaderSentiment.vaderSentiment',
-datas += tmp_ret[0]; binaries += tmp_ret[1]; hiddenimports += tmp_ret[2]
+    'pyarmor_runtime_000000',
-tmp_ret = collect_all('charset_normalizer')
+    'PySide6', 'PySide6.QtCore', 'PySide6.QtWidgets', 'PySide6.QtGui',
-datas += tmp_ret[0]; binaries += tmp_ret[1]; hiddenimports += tmp_ret[2]
+    'PySide6.QtCharts', 'PySide6.QtNetwork',
-tmp_ret = collect_all('vaderSentiment')
+    'shiboken6',
-datas += tmp_ret[0]; binaries += tmp_ret[1]; hiddenimports += tmp_ret[2]
+]
-tmp_ret = collect_all('tzdata')
+
-datas += tmp_ret[0]; binaries += tmp_ret[1]; hiddenimports += tmp_ret[2]
+for pkg in ('pandas', 'numpy', 'yfinance', 'matplotlib', 'requests',
            'certifi', 'charset_normalizer', 'vaderSentiment', 'tzdata',
            'PySide6'):
    tmp_ret = collect_all(pkg)
    datas     += tmp_ret[0]
    binaries  += tmp_ret[1]
    hiddenimports += tmp_ret[2]
 a = Analysis(
@ -58,5 +64,5 @@ exe = EXE(
    target_arch=None,
    codesign_identity=None,
    entitlements_file=None,
-    uac_admin=True,   # embed UAC manifest: always run as Administrator
+    uac_admin=True,
 )
--- a/api/main.py
+++ b/api/main.py
@ -20,7 +20,9 @@ app = FastAPI()
 DB_HOST = "127.0.0.1"
 DB_NAME = "verimund"
 DB_USER = "verimund_user"
-DB_PASS = os.getenv("DB_PASS", "Shlevison2k17")
+DB_PASS = os.getenv("DB_PASS")
 if not DB_PASS:
    raise RuntimeError("DB_PASS environment variable is not set")
 JWT_SECRET = os.getenv("JWT_SECRET", "")
 HMAC_SECRET = os.getenv("HMAC_SECRET", "")
 ADMIN_KEY = os.getenv("ADMIN_KEY", "")
@ -157,11 +159,14 @@ def check_update(payload=Depends(verify_jwt), db=Depends(get_db)):
@app.get("/admin/versions")
-def get_versions(_=Depends(verify_admin), db=Depends(get_db)):
+def get_versions(channel: str = "stable", _=Depends(verify_admin), db=Depends(get_db)):
    cur = db.cursor(cursor_factory=psycopg2.extras.RealDictCursor)
-    cur.execute("SELECT * FROM app_versions ORDER BY released_at DESC LIMIT 1")
+    cur.execute(
        "SELECT * FROM app_versions WHERE channel = %s ORDER BY released_at DESC LIMIT 1",
        (channel,)
    )
    version = cur.fetchone()
-    return {"version": version["version"] if version else "1.0.0"}
+    return {"version": version["version"] if version else "1.0.0", "channel": channel}
@app.post("/admin/register-version")
--- a/build.bat
+++ b/build.bat
@ -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
--- a/cache_builder.py
+++ b/cache_builder.py
@ -43,7 +43,9 @@ load_dotenv("/srv/api/.env")
 _DB_HOST = "127.0.0.1"
 _DB_NAME = "verimund"
 _DB_USER = "verimund_user"
-_DB_PASS = os.environ.get("DB_PASS", "Shlevison2k17")
+_DB_PASS = os.environ.get("DB_PASS")
 if not _DB_PASS:
    raise RuntimeError("DB_PASS environment variable is not set")
 # TABLE_PREFIX is set by the cron job: "" for stable, "beta_" for beta channel.
 _TABLE_PREFIX = os.environ.get("TABLE_PREFIX", "")
@ -284,6 +286,7 @@ def _fetch_analyst(ticker: str) -> dict | None:
        return {
            "ticker":         ticker,
            "name":           info.get("longName") or None,
            "pe_forward":     info.get("forwardPE"),
            "eps_forward":    info.get("forwardEps"),
            "analyst_norm":   analyst_norm,
@ -293,6 +296,8 @@ def _fetch_analyst(ticker: str) -> dict | None:
            "recommendation": info.get("recommendationKey") or "N/A",
            "sector":         info.get("sector")   or None,
            "industry":       info.get("industry") or None,
            "short_percent":  info.get("shortPercentOfFloat"),
            "short_ratio":    info.get("shortRatio"),
            "dividend_yield": info.get("dividendYield"),
            "updated_at":     datetime.now(timezone.utc).isoformat(),
        }
@ -414,6 +419,7 @@ def _fetch_news_sentiment(ticker: str) -> dict | None:
        return {
            "ticker":              ticker,
            "news_sentiment":      sentiment,
            "news_headline_count": len(scores),
            "updated_at":          datetime.now(timezone.utc).isoformat(),
        }
    except Exception:
@ -463,16 +469,17 @@ def run_news_phase(tickers: list[str]) -> None:
 # Explicit column allow-lists keep extra fields (e.g. dividend_yield from
 # yfinance) from causing "column does not exist" errors in PostgreSQL.
 _ANALYST_COLS = (
-    "ticker", "pe_forward", "eps_forward", "analyst_norm", "analyst_upside",
+    "ticker", "name", "pe_forward", "eps_forward", "analyst_norm", "analyst_upside",
    "analyst_count", "analyst_target", "recommendation", "news_sentiment",
-    "sector", "industry", "updated_at",
+    "news_headline_count", "sector", "industry", "short_percent", "short_ratio", "updated_at",
 )
 _FUND_COLS = (
-    "ticker", "pe_trailing", "pb_ratio", "ev_ebitda", "eps_trailing",
+    "ticker", "name", "pe_trailing", "pb_ratio", "ev_ebitda", "eps_trailing",
    "revenue", "revenue_growth", "earnings_growth", "roe", "roa",
    "debt_to_equity", "total_debt", "total_cash", "book_value", "current_ratio",
    "profit_margin", "operating_margin", "fcf_yield", "dividend_yield",
    "market_cap", "shares_outstanding", "ev_revenue", "short_percent",
    "piotroski_score", "accruals_ratio",
    "filer_type", "updated_at",
 )
@ -534,8 +541,11 @@ def _fetch_one_frame(concept: str, unit: str, period: str) -> dict[int, float]:
        _FRAME_CACHE[key] = result
        time.sleep(0.15)
        return result
-    except Exception:
+    except requests.HTTPError as e:
-        _FRAME_CACHE[key] = {}
+        print(f"  [WARN] EDGAR frame {concept}/{unit}/{period}: HTTP {e.response.status_code} — not cached")
        return {}
    except Exception as e:
        print(f"  [WARN] EDGAR frame {concept}/{unit}/{period}: {e} — not cached")
        return {}
@ -547,7 +557,7 @@ def _sum_frames(concepts: list[str], unit: str, periods: list[str]) -> dict[int,
                ttm.setdefault(cik, {})
                if period not in ttm[cik]:
                    ttm[cik][period] = val
-    return {cik: sum(pv.values()) for cik, pv in ttm.items()}
+    return {cik: sum(pv.values()) for cik, pv in ttm.items() if len(pv) >= 4}
 def _best_frame(concepts: list[str], unit: str, periods: list[str]) -> dict[int, float]:
@ -613,6 +623,20 @@ def _compute_fundamentals(
                 if rev is not None and rev_prev and rev_prev != 0 else None)
    ni_g      = ((ni - ni_prev) / abs(ni_prev)
                 if ni is not None and ni_prev and ni_prev != 0 else None)
    # Piotroski partial F-Score (4 signals available at compute time)
    p = 0
    if ni is not None and tot_a and tot_a > 0 and ni / tot_a > 0: p += 1  # ROA > 0
    if ocf is not None and ocf > 0:                                p += 1  # OCF > 0
    if ocf is not None and ni is not None and ocf > ni:            p += 1  # OCF > NI (cash-backed)
    if rev is not None and rev_prev is not None and rev_prev != 0 and rev > rev_prev: p += 1  # Revenue improving
    piotroski = p
    # Sloan accruals ratio: (NI - OCF) / Total Assets — negative = higher earnings quality
    accruals = None
    if ni is not None and ocf is not None and tot_a and tot_a > 0:
        accruals = max(-0.3, min(0.3, (ni - ocf) / tot_a))
    return {
        "market_cap":          mkt_cap,
        "shares_outstanding":  sh,
@ -634,6 +658,8 @@ def _compute_fundamentals(
        "profit_margin":       pm,
        "operating_margin":    om,
        "fcf_yield":           fcf_yield,
        "piotroski_score":     piotroski,
        "accruals_ratio":      accruals,
    }
@ -721,7 +747,13 @@ def run_fundamentals_phase(all_tickers: list[str]) -> dict[str, dict]:
            cash.get(cik),       lt_debt.get(cik),
            shares.get(cik),
        )
        try:
            _info = yf.Ticker(ticker).info or {}
            _name = _info.get("longName") or _info.get("shortName") or None
        except Exception:
            _name = None
        metrics["ticker"]      = ticker
        metrics["name"]        = _name
        metrics["filer_type"]  = "us-gaap-quarterly"
        metrics["updated_at"]  = datetime.now(timezone.utc).isoformat()
        result[ticker] = metrics
@ -752,7 +784,13 @@ def run_fundamentals_phase(all_tickers: list[str]) -> dict[str, dict]:
                    cash.get(cik),       lt_debt.get(cik),
                    shares.get(cik),
                )
                try:
                    _info = yf.Ticker(ticker).info or {}
                    _name = _info.get("longName") or _info.get("shortName") or None
                except Exception:
                    _name = None
                metrics["ticker"]     = ticker
                metrics["name"]       = _name
                metrics["filer_type"] = "us-gaap-quarterly"
                metrics["updated_at"] = datetime.now(timezone.utc).isoformat()
                result[ticker] = metrics
@ -889,7 +927,13 @@ def run_foreign_filers_phase() -> dict[str, dict]:
                raw.get("cash"),           raw.get("lt_debt"),
                raw.get("shares"),
            )
            try:
                _info = yf.Ticker(ticker).info or {}
                _name = _info.get("longName") or _info.get("shortName") or None
            except Exception:
                _name = None
            metrics["ticker"]     = ticker
            metrics["name"]       = _name
            metrics["filer_type"] = f"{taxonomy}-annual"
            metrics["updated_at"] = datetime.now(timezone.utc).isoformat()
            result[ticker] = metrics
--- a/deploy_beta.bat
+++ b/deploy_beta.bat
@ -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
--- a/deploy_stable.bat
+++ b/deploy_stable.bat
@ -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
--- a/discord_bot/.env.example
+++ b/discord_bot/.env.example
@ -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
--- a/discord_bot/bot.py
+++ b/discord_bot/bot.py
@ -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())
--- a/discord_bot/requirements.txt
+++ b/discord_bot/requirements.txt
@ -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
--- a/dist/screener_gui.py
+++ b/dist/screener_gui.py
--- 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
@ -791,7 +792,8 @@ def _fetch_one_frame(concept: str, unit: str, period: str) -> dict[int, float]:
        time.sleep(0.15)   # stay comfortably under SEC's 10 req/sec limit
        return result
    except Exception:
-        _FRAME_CACHE[key] = {}
+        # Do not cache transient failures (network errors, timeouts, etc.)
        # Only 404s (already handled above) should produce a permanent empty cache entry.
        return {}
@ -808,7 +810,7 @@ def _sum_frames(concepts: list[str], unit: str,
                ttm.setdefault(cik, {})
                if period not in ttm[cik]:
                    ttm[cik][period] = val
-    return {cik: sum(pv.values()) for cik, pv in ttm.items()}
+    return {cik: sum(pv.values()) for cik, pv in ttm.items() if len(pv) >= 4}
 def _best_frame(concepts: list[str], unit: str,
@ -995,11 +997,21 @@ def _fetch_edgar_bulk(close_map: dict[str, pd.Series]) -> dict[str, dict]:
 # Analyst + Fundamentals Cache (Verimund API)
 # ---------------------------------------------------------------------------
 _API_URL = "https://api.verimundsolutions.com"
 def _get_api_headers() -> dict:
    """Read JWT from the auth cache file directly — no dependency on obfuscated license_check."""
    try:
-    from license_check import _API_URL as _API_URL, get_api_headers as _get_api_headers
+        import json as _json
-except ImportError:
+        _cache = os.path.join(
-    _API_URL = None
+            os.environ.get("APPDATA", os.path.expanduser("~")),
-    _get_api_headers = lambda: {}
+            "StockScreener", "auth_cache.dat"
        )
        with open(_cache, "r", encoding="utf-8") as _f:
            _tok = _json.load(_f).get("jwt_token", "")
        return {"Authorization": f"Bearer {_tok}", "Content-Type": "application/json"}
    except Exception:
        return {"Content-Type": "application/json"}
 def _load_analyst_cache() -> dict[str, dict]:
@ -1298,6 +1310,8 @@ def _fetch_fundamentals(
        price_now = float(close.iloc[-1])
        def pct_return(days_back: int) -> float | None:
            if len(close) <= days_back:
                return None
            idx  = max(0, len(close) - days_back)
            past = float(close.iloc[idx])
            return (price_now - past) / past if past > 0 else None
@ -1350,7 +1364,7 @@ def _fetch_fundamentals(
            "ret_12m":          pct_return(252),
            "roe":              info.get("returnOnEquity"),
            "roa":              info.get("returnOnAssets"),
-            "debt_to_equity":   info.get("debtToEquity"),
+            "debt_to_equity":   (info["debtToEquity"] / 100.0) if info.get("debtToEquity") is not None else None,
            "total_debt":       info.get("totalDebt"),
            "total_cash":       info.get("totalCash"),
            "book_value":       info.get("bookValue"),
@ -1366,6 +1380,7 @@ def _fetch_fundamentals(
            "analyst_target":   target_price,
            "recommendation":   info.get("recommendationKey", "N/A"),
            "short_percent":    info.get("shortPercentOfFloat"),
            "short_ratio":      info.get("shortRatio"),
            "beta":             info.get("beta"),
            "volatility_30d":   volatility,
            "market_cap":       info.get("marketCap"),
@ -1500,6 +1515,8 @@ def fetch_all(
        price_now = float(close.iloc[-1])
        def pct_return(days_back: int) -> float | None:
            if len(close) <= days_back:
                return None
            idx  = max(0, len(close) - days_back)
            past = float(close.iloc[idx])
            return (price_now - past) / past if past > 0 else None
@ -1544,7 +1561,7 @@ def fetch_all(
        results.append({
            "ticker":           ticker,
-            "name":             edgar.get("name", ticker),
+            "name":             analyst.get("name") or edgar.get("name") or ticker,
            "sector":           analyst.get("sector")   or edgar.get("sector",   "N/A"),
            "industry":         analyst.get("industry") or edgar.get("industry", "N/A"),
            "price":            price_now,
@ -1586,8 +1603,15 @@ def fetch_all(
            "analyst_count":    analyst.get("analyst_count"),
            "analyst_target":   analyst_target,
            "recommendation":   analyst.get("recommendation", "N/A"),
-            # Risk — FINRA cache first, then yfinance shortPercentOfFloat as display fallback
+            # Bug 10 fix: use only shortPercentOfFloat (0.0–1.0 float fraction) from yfinance.
-            "short_percent":    finra_short.get(ticker) or analyst.get("short_percent"),
+            # FINRA short-volume ratio (sv/total_vol) is on a different scale (typically 0.3–0.6)
            # and is incompatible with the short_pts breakpoints which expect % of float.
            # Do NOT fall back to finra_short here; leave as None when yfinance data is absent.
            "short_percent":    analyst.get("short_percent"),
            "short_ratio":      analyst.get("short_ratio"),
            "piotroski_score":  edgar.get("piotroski_score"),
            "accruals_ratio":   edgar.get("accruals_ratio"),
            "news_headline_count": analyst.get("news_headline_count"),
            "beta":             beta_map.get(ticker),
            "volatility_30d":   volatility,
            # Market data
@ -1803,39 +1827,40 @@ _PROFILE_WEIGHTS: dict[str, dict[str, dict[str, float]]] = {
    "mature": {
        "value":         {"pe": 0.35, "pb": 0.20, "ev_ebitda": 0.45},
        "growth":        {"revenue_growth": 0.30, "earnings_growth": 0.45, "eps_growth": 0.25},
-        "quality":       {"roa": 0.40, "roe": 0.20, "debt_to_equity": 0.30, "current_ratio": 0.10},
+        "quality":       {"roa": 0.40, "roe": 0.20, "debt_to_equity": 0.30, "current_ratio": 0.10, "piotroski": 0.20},
-        "profitability": {"fcf_yield": 0.40, "operating_margin": 0.38, "profit_margin": 0.22},
+        "profitability": {"fcf_yield": 0.40, "operating_margin": 0.38, "profit_margin": 0.22, "accruals": 0.15},
    },
    "high_growth": {
        "value":         {"pe": 0.00, "pb": 0.20, "ev_ebitda": 0.35, "ev_revenue": 0.45},
        "growth":        {"revenue_growth": 0.50, "earnings_growth": 0.30, "eps_growth": 0.20},
-        "quality":       {"roa": 0.35, "roe": 0.15, "debt_to_equity": 0.15, "current_ratio": 0.35},
+        "quality":       {"roa": 0.35, "roe": 0.15, "debt_to_equity": 0.15, "current_ratio": 0.35, "piotroski": 0.20},
-        "profitability": {"fcf_yield": 0.15, "operating_margin": 0.50, "profit_margin": 0.35},
+        "profitability": {"fcf_yield": 0.15, "operating_margin": 0.50, "profit_margin": 0.35, "accruals": 0.15},
    },
    "financial": {
        "value":         {"pe": 0.35, "pb": 0.50, "ev_ebitda": 0.15},
        "growth":        {"revenue_growth": 0.30, "earnings_growth": 0.50, "eps_growth": 0.20},
-        "quality":       {"roa": 0.50, "roe": 0.30, "debt_to_equity": 0.00, "current_ratio": 0.20},
+        "quality":       {"roa": 0.50, "roe": 0.30, "debt_to_equity": 0.00, "current_ratio": 0.20, "piotroski": 0.15},
-        "profitability": {"fcf_yield": 0.30, "operating_margin": 0.00, "profit_margin": 0.70},
+        "profitability": {"fcf_yield": 0.30, "operating_margin": 0.00, "profit_margin": 0.70, "accruals": 0.15},
    },
    "capital_intensive": {
        "value":         {"pe": 0.15, "pb": 0.20, "ev_ebitda": 0.65},
        "growth":        {"revenue_growth": 0.35, "earnings_growth": 0.40, "eps_growth": 0.25},
-        "quality":       {"roa": 0.30, "roe": 0.15, "debt_to_equity": 0.40, "current_ratio": 0.15},
+        "quality":       {"roa": 0.30, "roe": 0.15, "debt_to_equity": 0.40, "current_ratio": 0.15, "piotroski": 0.15},
-        "profitability": {"fcf_yield": 0.35, "operating_margin": 0.45, "profit_margin": 0.20},
+        "profitability": {"fcf_yield": 0.35, "operating_margin": 0.45, "profit_margin": 0.20, "accruals": 0.15},
    },
    "early_stage": {
        "value":         {"pe": 0.00, "pb": 0.15, "ev_ebitda": 0.00, "ev_revenue": 0.85},
        "growth":        {"revenue_growth": 0.70, "earnings_growth": 0.20, "eps_growth": 0.10},
-        "quality":       {"roa": 0.20, "roe": 0.00, "debt_to_equity": 0.00, "current_ratio": 0.80},
+        "quality":       {"roa": 0.20, "roe": 0.00, "debt_to_equity": 0.00, "current_ratio": 0.80, "piotroski": 0.10},
-        "profitability": {"fcf_yield": 0.00, "operating_margin": 0.40, "profit_margin": 0.00,
+        # revenue_growth_proxy removed — revenue growth already carries 70% of the growth score
-                          "revenue_growth_proxy": 0.60},
+        "profitability": {"fcf_yield": 0.00, "operating_margin": 1.00, "profit_margin": 0.00,
                          "revenue_growth_proxy": 0.00},
    },
    "turnaround": {
        "value":         {"pe": 0.00, "pb": 0.30, "ev_ebitda": 0.70},
        "growth":        {"revenue_growth": 0.15, "earnings_growth": 0.80, "eps_growth": 0.05},
-        "quality":       {"roa": 0.35, "roe": 0.15, "debt_to_equity": 0.35, "current_ratio": 0.15},
+        "quality":       {"roa": 0.35, "roe": 0.15, "debt_to_equity": 0.35, "current_ratio": 0.15, "piotroski": 0.20},
-        "profitability": {"fcf_yield": 0.25, "operating_margin": 0.45, "profit_margin": 0.30},
+        "profitability": {"fcf_yield": 0.25, "operating_margin": 0.45, "profit_margin": 0.30, "accruals": 0.15},
    },
 }
@ -1871,23 +1896,24 @@ def compute_value_score(df: pd.DataFrame,
    """
    ss = sector_stats or {}
    sectors = df.get("sector", pd.Series(["N/A"] * len(df), index=df.index))
-    pe = df["pe_forward"].combine_first(df["pe_trailing"]).where(lambda x: x > 0)
+    # Z-score forward and trailing PE against their own sector distributions, then combine
-
+    # Lower valuation ratios are better — invert z-scores so cheap stocks rank high
-    # Pre-compute z-scores for each metric
+    fwd_s = 100.0 - _z_series(df["pe_forward"].where(df["pe_forward"] > 0),   "pe_forward",  sectors, ss)
-    pe_s    = _z_series(pe,                  "pe_trailing",  sectors, ss)
+    trl_s = 100.0 - _z_series(df["pe_trailing"].where(df["pe_trailing"] > 0),  "pe_trailing", sectors, ss)
-    pb_s    = _z_series(df["pb_ratio"],      "pb_ratio",     sectors, ss)
+    pe_s  = fwd_s.combine_first(trl_s)
-    ev_s    = _z_series(df["ev_ebitda"],     "ev_ebitda",    sectors, ss)
+    pb_s    = 100.0 - _z_series(df["pb_ratio"],      "pb_ratio",     sectors, ss)
-    evr_s   = _z_series(df.get("ev_revenue", pd.Series(
+    ev_s    = 100.0 - _z_series(df["ev_ebitda"],     "ev_ebitda",    sectors, ss)
    evr_s   = 100.0 - _z_series(df.get("ev_revenue", pd.Series(
                            [None]*len(df), index=df.index)),
                        "ev_revenue", sectors, ss)
    scores = []
    for i, row in df.iterrows():
        ms = {
-            "pe":         float(pe_s.iloc[i]),
+            "pe":         float(pe_s.loc[i]),
-            "pb":         float(pb_s.iloc[i]),
+            "pb":         float(pb_s.loc[i]),
-            "ev_ebitda":  float(ev_s.iloc[i]),
+            "ev_ebitda":  float(ev_s.loc[i]),
-            "ev_revenue": float(evr_s.iloc[i]),
+            "ev_revenue": float(evr_s.loc[i]),
        }
        scores.append(_profile_score_row(row, "value", ms))
    return pd.Series(scores, index=df.index)
@ -1914,9 +1940,9 @@ def compute_growth_score(df: pd.DataFrame,
    scores = []
    for i, row in df.iterrows():
        ms = {
-            "revenue_growth":  float(rev_s.iloc[i]),
+            "revenue_growth":  float(rev_s.loc[i]),
-            "earnings_growth": float(ear_s.iloc[i]),
+            "earnings_growth": float(ear_s.loc[i]),
-            "eps_growth":      float(eps_s.iloc[i]),
+            "eps_growth":      float(eps_s.loc[i]),
        }
        scores.append(_profile_score_row(row, "growth", ms))
    return pd.Series(scores, index=df.index)
@ -1967,19 +1993,27 @@ def compute_quality_score(df: pd.DataFrame,
    roa_s = _z_series(df["roa"],            "roa",            sectors, ss)
    roe_s = _z_series(df["roe"],            "roe",            sectors, ss)
    de_s  = _z_series(df["debt_to_equity"], "debt_to_equity", sectors, ss)
    cr_s  = _z_series(df["current_ratio"],  "current_ratio",  sectors, ss)
    # Negative D/E means negative equity (insolvency risk) — treat as extremely high leverage
    de_raw = df["debt_to_equity"].where(df["debt_to_equity"] >= 0, 999.0)
    # D/E z-score is inverted — lower D/E is better, so flip the z-score
-    de_s = 100.0 - de_s
+    de_s = 100.0 - _z_series(de_raw, "debt_to_equity", sectors, ss)
    # Piotroski partial F-Score (0-4) → 0-100 via absolute breakpoints
    p_raw = pd.to_numeric(df.get("piotroski_score",
                pd.Series([None] * len(df), index=df.index)), errors="coerce")
    p_pts = [(0, 5), (1, 30), (2, 50), (3, 72), (4, 95)]
    piotroski_s = _score_series(p_raw, p_pts)
    scores = []
    for i, row in df.iterrows():
        ms = {
-            "roa":           float(roa_s.iloc[i]),
+            "roa":            float(roa_s.loc[i]),
-            "roe":           float(roe_s.iloc[i]),
+            "roe":            float(roe_s.loc[i]),
-            "debt_to_equity": float(de_s.iloc[i]),
+            "debt_to_equity": float(de_s.loc[i]),
-            "current_ratio": float(cr_s.iloc[i]),
+            "current_ratio":  float(cr_s.loc[i]),
            "piotroski":      float(piotroski_s.loc[i]),
        }
        scores.append(_profile_score_row(row, "quality", ms))
    return pd.Series(scores, index=df.index)
@ -1999,13 +2033,21 @@ def compute_profitability_score(df: pd.DataFrame,
    pm_s  = _z_series(df["profit_margin"],    "profit_margin",    sectors, ss)
    rev_s = _z_series(df["revenue_growth"],   "revenue_growth",   sectors, ss)
    # Sloan accruals ratio: more negative = earnings are cash-backed = better quality
    acc_raw = pd.to_numeric(df.get("accruals_ratio",
                pd.Series([None] * len(df), index=df.index)), errors="coerce")
    acc_pts = [(-0.25, 95), (-0.10, 78), (-0.03, 62), (0.0, 50),
               (0.03, 38), (0.10, 22), (0.25, 5)]
    accruals_s = _score_series(acc_raw, acc_pts)
    scores = []
    for i, row in df.iterrows():
        ms = {
-            "fcf_yield":           float(fcf_s.iloc[i]),
+            "fcf_yield":            float(fcf_s.loc[i]),
-            "operating_margin":    float(om_s.iloc[i]),
+            "operating_margin":     float(om_s.loc[i]),
-            "profit_margin":       float(pm_s.iloc[i]),
+            "profit_margin":        float(pm_s.loc[i]),
-            "revenue_growth_proxy": float(rev_s.iloc[i]),  # used by early_stage
+            "revenue_growth_proxy": float(rev_s.loc[i]),  # used by early_stage
            "accruals":             float(accruals_s.loc[i]),
        }
        scores.append(_profile_score_row(row, "profitability", ms))
    return pd.Series(scores, index=df.index)
@ -2013,12 +2055,27 @@ def compute_profitability_score(df: pd.DataFrame,
 def compute_sentiment_score(df: pd.DataFrame) -> pd.Series:
    """
-    News Sentiment Score — VADER compound score mapped to 0–100 (absolute scale).
+    News Sentiment Score — VADER compound score mapped to 0–100, confidence-weighted
-    Sentiment is inherently comparable across all stocks; no z-scoring applied.
+    by headline count. Fewer headlines blend toward neutral (50) to avoid overreacting
    to a single article.
    """
    sent_pts = [(-1.0, 0), (-0.40, 20), (-0.15, 36), (0.0, 50),
                (0.15, 64), (0.40, 80), (1.0, 100)]
-    return _score_series(df["news_sentiment"], sent_pts)
+    base = _score_series(df["news_sentiment"], sent_pts)
    # Derive headline count from stored field or from news_headlines list
    if "news_headline_count" in df.columns:
        count = pd.to_numeric(df["news_headline_count"], errors="coerce").fillna(0)
    elif "news_headlines" in df.columns:
        count = df["news_headlines"].apply(
            lambda h: len(h) if isinstance(h, list) else 0
        ).astype(float)
    else:
        return base
    # 5+ headlines = full confidence; 0 headlines = 5% confidence (nearly neutral)
    confidence = (count.clip(upper=5) / 5.0).clip(lower=0.05)
    return base * confidence + 50.0 * (1.0 - confidence)
 def compute_analyst_score(df: pd.DataFrame,
@ -2092,8 +2149,9 @@ def score_stocks(df: pd.DataFrame, weights: dict | None = None,
        "ret_1m", "ret_3m", "ret_6m", "ret_12m",
        "roe", "roa", "debt_to_equity", "current_ratio",
        "profit_margin", "operating_margin", "fcf_yield",
-        "news_sentiment", "analyst_norm", "analyst_upside", "analyst_count",
+        "news_sentiment", "news_headline_count", "analyst_norm", "analyst_upside", "analyst_count",
-        "short_percent", "volatility_30d", "beta", "price", "market_cap",
+        "short_percent", "short_ratio", "volatility_30d", "beta", "price", "market_cap",
        "piotroski_score", "accruals_ratio",
    ]
    for col in _NUMERIC_COLS:
        if col in df.columns:
--- a/dist/update_error.log
+++ b/dist/update_error.log
@ -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
--- a/health_monitor.py
+++ b/health_monitor.py
@ -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()
--- a/launcher.py
+++ b/launcher.py
@ -14,6 +14,9 @@ import sys
 import tkinter as tk
 from tkinter import messagebox
 # Add dist/ to path so screener_gui and stock_screener are importable
 sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "dist"))
 # Fix SSL certificate path for PyInstaller frozen builds.
 # Without this, requests raises "Could not find a suitable TLS CA certificate bundle".
 if getattr(sys, "frozen", False):
--- a/81
+++ b/81
@ -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;
 }
--- a/pyarmor.bug.log
+++ b/pyarmor.bug.log
@ -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
--- a/scripts/backup.sh
+++ b/scripts/backup.sh
@ -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"
--- a/supabase_schema.sql
+++ b/supabase_schema.sql
@ -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;
--- 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 = "1.3.9"
+APP_VERSION = "1.4.9"
 def _exe_dir() -> str:
Author	SHA1	Message	Date
Nolan Kovacs	d756bc99ce	Fix detail panel: 5 bugs causing all fields to show dashes - _derive_row_extras -> _prepare_row_dict (undefined function call) - Define _GREEN_KEYS (NameError crashed _color_for_key loop) - Fix Q_ARG(object,...) in chart, search, insider trades, hedge funds - Fix total equity 100x overstatement (de_ratio already a true ratio) - Launch maximized on primary monitor instead of centered/split Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-08 19:40:32 -04:00
Nolan Kovacs	df032593bd	Fix missing os import in stock_screener; force app to open on primary monitor	2026-04-08 18:37:38 -04:00
Nolan Kovacs	78f3a25022	a	2026-04-04 16:08:57 -04:00
Nolan Kovacs	a604397c41	a	2026-04-04 15:43:52 -04:00
Nolan Kovacs	a7ba0f950b	a	2026-04-04 15:21:19 -04:00
Nolan Kovacs	3ce0685889	a	2026-04-04 14:49:39 -04:00
Nolan Kovacs	6bc851b03c	a	2026-04-04 14:20:37 -04:00
Nolan Kovacs	0de9beec8e	a	2026-04-04 13:42:46 -04:00
Nolan Kovacs	f75cceefd4	Fixes	2026-04-04 13:06:21 -04:00
Nolan Kovacs	e17d63ceeb	test	2026-04-04 09:49:22 -04:00
Nolan Kovacs	f2c8daefba	Tier 1-3 fixes: value inversion, iloc→loc, D/E scale, Piotroski, Sloan accruals, sentiment confidence, early-stage double-count	2026-03-29 18:36:41 -04:00
Nolan Kovacs	5c779efecf	123	2026-03-26 14:55:05 -04:00
		`@ -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`