146dadf06f
- Add "How It Works": daily load (ordered pipeline steps), intraday flow, other jobs, and the score -> activation gate -> top pick chain. - Add "Key Use Cases" (find today's best long setup; track a paper trade). - Fix stale facts: user-curated (not auto) watchlist, actual routes/pages, scheduler description, wrong env defaults (RR 3.0->1.5, fundamentals daily->weekly). - Add missing surface: paper trading, activation gate, market regime, Telegram alerts, backtest; API groups (paper-trades, market/regime, jobs); FRED + Telegram env vars; note that pipeline timing is admin-cron, not env. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
362 lines
17 KiB
Markdown
362 lines
17 KiB
Markdown
# Signal Dashboard
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Investing-signal platform for NASDAQ stocks. Surfaces the best trading opportunities through weighted multi-dimensional scoring — technical indicators, support/resistance quality, sentiment, fundamentals, and momentum — with asymmetric risk:reward scanning.
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**Philosophy:** Don't predict price. Find the path of least resistance, key S/R zones, and asymmetric R:R setups.
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## How It Works
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Scheduled pipelines turn raw prices into a ranked, gated list of tradeable setups. Everything downstream of OHLCV is recomputed from stored data, so each refresh is cheap and idempotent. Job timing is cron-based and configurable in **Admin → Jobs** (default timezone Europe/Berlin).
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### Daily Load — the full refresh
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Once a day (default 07:00). Steps run **in dependency order**, each consuming the previous step's fresh output:
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1. **OHLCV** — fetch the latest daily bars for every tracked ticker (Alpaca); new tickers backfill ~5 years.
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2. **Sentiment** — fetch sentiment for the names that matter and are stale (> 5 days): top-pick feeders (momentum leaders with a tradeable long setup), the watchlist, and open paper trades, plus a top-N-by-composite discovery net. Runs *before* the scan so the scan sees fresh sentiment.
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3. **R:R Scan** — recompute S/R zones, the 5-dimension scores and long/short setups (ATR stops, S/R targets) for every ticker, and attach each ticker's 12‑1 momentum percentile.
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4. **Outcome Eval** — resolve setups that hit target/stop or expired (default 30 trading days) and close paper trades that hit a level.
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5. **Market Regime** — recompute the regime index (breadth/trend).
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6. **Regime Monitor** — observational early-warning snapshot (VIX, credit spreads via FRED); feeds nothing else.
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A failing step is logged; the pipeline continues with the next.
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### Intraday — light refresh
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Hourly across the US session (Mon–Fri): only **OHLCV → Outcome Eval**, to keep prices current and close paper trades intraday. No scan/sentiment — the dashboard recomputes live R:R from the latest price, so fresh prices are enough.
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### Other jobs
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Fundamentals (weekly, early Monday) · Alerts (hourly, Telegram) · Backtest (weekly) · Ticker-universe sync (daily). Deep history backfill and event study are manual-only (Admin → Jobs).
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### From score to "top pick"
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1. **Composite score** — technical, S/R-quality, sentiment, fundamental and momentum sub-scores (0–100) combine into a weighted composite (weights configurable; missing dimensions re-normalize).
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2. **Setups** — the scanner builds long/short setups with ATR stops and S/R targets, then adds a confidence score, conflict flags and a target reach-probability.
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3. **Activation gate** — a setup *qualifies* only if it clears the R:R and confidence floors **and** ranks in the top momentum percentile of the universe (the validated edge is long-only momentum).
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4. **Top pick** — the highest-momentum qualified setup; highlighted on the Dashboard and labelled on the ticker page.
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## Key Use Cases
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- **Find today's best long setup.** On the **Dashboard**, the *Top Setups* table lists qualified setups ranked by momentum with the #1 flagged "Top pick". Each row opens the ticker page for the chart, scores, S/R targets and entry/stop.
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- **Track a trade you took.** Mark a setup as a **paper trade**: it's marked-to-market against the latest close, auto-closed on stop/target, and its sentiment stays fresh while open. *Signals → Track Record* shows the realized edge.
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## Stack
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| Layer | Tech |
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| Backend | Python 3.12+, FastAPI, Uvicorn, async SQLAlchemy, Alembic |
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| Database | PostgreSQL (asyncpg) |
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| Scheduler | APScheduler — daily & intraday pipelines, fundamentals, alerts, regime, backtest |
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| Frontend | React 18, TypeScript, Vite 5 |
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| Styling | Tailwind CSS 3 with custom glassmorphism design system |
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| State | TanStack React Query v5 (server), Zustand (client/auth) |
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| Charts | Canvas 2D candlestick chart with S/R overlays |
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| Routing | React Router v6 (SPA) |
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| HTTP | Axios with JWT interceptor |
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| Data providers | Alpaca (OHLCV); OpenAI / Gemini / DeepSeek / xAI (sentiment, pluggable); Fundamentals chain: FMP → Finnhub → Alpha Vantage; FRED (regime); Telegram (alerts) |
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## Features
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### Backend
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- Ticker registry with full cascade delete
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- Universe bootstrap for `sp500`, `nasdaq100`, `nasdaq_all` via admin endpoint
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- OHLCV price storage with upsert and validation
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- Technical indicators: ADX, EMA, RSI, ATR, Volume Profile, Pivot Points, EMA Cross
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- Support/Resistance detection with strength scoring and merge-within-tolerance
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- Sentiment analysis with time-decay weighted scoring
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- Fundamental data tracking (P/E, revenue growth, earnings surprise, market cap)
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- 5-dimension scoring engine (technical, S/R quality, sentiment, fundamental, momentum) with configurable weights
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- Risk:Reward scanner — long and short setups, ATR-based stops, S/R-based targets, configurable R:R threshold (default 1.5:1)
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- Activation gate — qualifies setups on a momentum-percentile floor plus R:R/confidence (validated long-only edge); ranks the rest by expected value
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- Recommendation layer — directional confidence, conflict detection, per-target reach-probability
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- Paper trading — take a setup, mark-to-market vs. latest close, auto-close on stop/target, realized track record + outcome evaluation
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- Market-regime index + FRED early-warning monitor (VIX, credit spreads); weekly backtest + manual event study
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- Telegram alerts (e.g. regime-quadrant changes)
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- User-curated watchlist (cap: 20), enriched with composite score, R:R and S/R summary
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- JWT auth with admin role, configurable registration, user access control
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- Cron-scheduled pipelines (admin-configurable) with per-job enable/disable and live status monitoring
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- Admin panel: user management, data cleanup, job control, system settings
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### Frontend
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- Glassmorphism UI with frosted glass panels, gradient text, ambient glow effects, mesh gradient background
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- Interactive candlestick chart (Canvas 2D) with hover tooltips showing OHLCV values
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- Support/Resistance level overlays on chart (top 6 by strength, dashed lines with labels)
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- Data freshness bar showing availability and recency of each data source
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- Watchlist with composite scores, R:R ratios, and S/R summaries
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- Ticker detail page: chart, scores, sentiment breakdown, fundamentals, technical indicators, S/R table
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- Rankings table with configurable dimension weights
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- Trade scanner showing detected R:R setups
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- Admin page: user management, job status with live indicators, enable/disable toggles, data cleanup, system settings
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- Protected routes with JWT auth, admin-only sections
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- Responsive layout with mobile navigation
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- Toast notifications for async operations
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## Pages
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| Route | Page | Access |
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|---|---|---|
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| `/login` | Login | Public |
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| `/register` | Register | Public (when enabled) |
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| `/` | Dashboard — top setups, open trades, regime (default) | Authenticated |
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| `/market` | Market — watchlist + rankings tabs | Authenticated |
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| `/signals` | Signals — scanner + track record tabs | Authenticated |
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| `/regime` | Market Regime | Authenticated |
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| `/ticker/:symbol` | Ticker Detail | Authenticated |
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| `/admin` | Admin Panel | Admin only |
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Legacy routes redirect: `/watchlist` → `/market`, `/rankings` → `/market?tab=rankings`, `/scanner` → `/signals`, `/performance` → `/signals?tab=track`.
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## API Endpoints
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All under `/api/v1/`. Interactive docs at `/docs` (Swagger) and `/redoc`.
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| Group | Endpoints |
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|---|---|
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| Health | `GET /health` |
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| Auth | `POST /auth/register`, `POST /auth/login` |
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| Tickers | `POST /tickers`, `GET /tickers`, `DELETE /tickers/{symbol}` |
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| OHLCV | `POST /ohlcv`, `GET /ohlcv/{symbol}` |
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| Ingestion | `POST /ingestion/fetch/{symbol}` |
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| Indicators | `GET /indicators/{symbol}/{type}`, `GET /indicators/{symbol}/ema-cross` |
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| S/R Levels | `GET /sr-levels/{symbol}` |
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| Sentiment | `GET /sentiment/{symbol}` |
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| Fundamentals | `GET /fundamentals/{symbol}` |
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| Scores | `GET /scores/{symbol}`, `GET /rankings`, `PUT /scores/weights` |
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| Trades | `GET /trades`, `GET /trades/{symbol}`, `GET /trades/{symbol}/history`, `GET /trades/activation`, `GET /trades/performance` |
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| Paper Trades | `GET /paper-trades`, `POST /paper-trades`, `POST /paper-trades/{id}/close` |
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| Market / Regime | `GET /market/regime`, `GET /regime/monitor`, `GET/PUT /regime/config`, `GET /regime/history`, `GET /regime/event-study`, `GET/PUT /regime/fundamentals`, `GET /backtest/report` |
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| Jobs | `GET /jobs/running` |
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| Watchlist | `GET /watchlist`, `POST /watchlist/{symbol}`, `DELETE /watchlist/{symbol}` |
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| Admin | `GET /admin/users`, `POST /admin/users`, `PUT /admin/users/{id}/access`, `PUT /admin/users/{id}/password`, `PUT /admin/settings/registration`, `GET /admin/settings`, `PUT /admin/settings/{key}`, `GET/PUT /admin/settings/recommendations`, `GET/PUT /admin/settings/ticker-universe`, `POST /admin/tickers/bootstrap`, `POST /admin/data/cleanup`, `GET /admin/jobs`, `POST /admin/jobs/{name}/trigger`, `PUT /admin/jobs/{name}/toggle`, `GET /admin/pipeline/readiness` |
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## Development Setup
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### Prerequisites
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- Python 3.12+
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- PostgreSQL (via Homebrew on macOS: `brew install postgresql@17`)
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- Node.js 18+ and npm
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### Backend Setup
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```bash
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# Create and activate virtual environment
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python -m venv .venv
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source .venv/bin/activate
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pip install -e ".[dev]"
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# Configure environment
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cp .env.example .env
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# Edit .env with your values (see Environment Variables below)
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# Start PostgreSQL and create database
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brew services start postgresql@17
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createdb stock_data_backend
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createuser stock_backend
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# Run migrations
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alembic upgrade head
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# Start the backend
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uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
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```
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A default `admin`/`admin` account is created on first startup. Open http://localhost:8000/docs for Swagger UI.
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### Frontend Setup
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```bash
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cd frontend
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npm install
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npm run dev
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```
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Open http://localhost:5173 for the Signal Dashboard. The Vite dev server proxies `/api/v1/` requests to the backend at `http://127.0.0.1:8000`.
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### Frontend Build
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```bash
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cd frontend
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npm run build # TypeScript check + production build → frontend/dist/
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npm run preview # Preview the production build locally
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```
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### Tests
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```bash
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# Backend tests (in-memory SQLite — no PostgreSQL needed)
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pytest tests/ -v
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# Frontend tests
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cd frontend
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npm test
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```
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## Environment Variables
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Configure in `.env` (copy from `.env.example`):
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| Variable | Required | Default | Description |
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|---|---|---|---|
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| `DATABASE_URL` | Yes | — | PostgreSQL connection string (`postgresql+asyncpg://...`) |
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| `JWT_SECRET` | Yes | — | Random secret for JWT signing |
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| `JWT_EXPIRY_MINUTES` | No | `60` | JWT token expiry |
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| `ALPACA_API_KEY` | For OHLCV | — | Alpaca Markets API key |
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| `ALPACA_API_SECRET` | For OHLCV | — | Alpaca Markets API secret |
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| `GEMINI_API_KEY` | For sentiment | — | Google Gemini API key |
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| `GEMINI_MODEL` | No | `gemini-2.0-flash` | Gemini model name |
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| `OPENAI_API_KEY` | For sentiment (OpenAI path) | — | OpenAI API key |
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| `OPENAI_MODEL` | No | `gpt-4o-mini` | OpenAI model name |
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| `OPENAI_SENTIMENT_BATCH_SIZE` | No | `5` | Micro-batch size for sentiment collector |
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| `FMP_API_KEY` | Optional (fundamentals) | — | Financial Modeling Prep API key (first provider in chain) |
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| `FINNHUB_API_KEY` | Optional (fundamentals) | — | Finnhub API key (fallback provider) |
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| `ALPHA_VANTAGE_API_KEY` | Optional (fundamentals) | — | Alpha Vantage API key (fallback provider) |
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| `FRED_API_KEY` | Optional (regime) | — | FRED key for the regime monitor (VIX, credit spreads) |
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| `TELEGRAM_BOT_TOKEN` | Optional (alerts) | — | Telegram bot token for alerts (can also be set in Admin) |
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| `TELEGRAM_CHAT_ID` | Optional (alerts) | — | Telegram chat id for alerts |
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| `DATA_COLLECTOR_FREQUENCY` | No | `daily` | OHLCV collection schedule (legacy — see note below) |
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| `SENTIMENT_POLL_INTERVAL_MINUTES` | No | `30` | Sentiment polling interval |
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| `FUNDAMENTAL_FETCH_FREQUENCY` | No | `weekly` | Fundamentals fetch cadence |
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| `RR_SCAN_FREQUENCY` | No | `daily` | R:R scanner schedule |
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| `FUNDAMENTAL_RATE_LIMIT_RETRIES` | No | `3` | Retries per ticker on fundamentals rate-limit |
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| `FUNDAMENTAL_RATE_LIMIT_BACKOFF_SECONDS` | No | `15` | Base backoff seconds for fundamentals retry (exponential) |
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| `DEFAULT_WATCHLIST_AUTO_SIZE` | No | `10` | Auto-watchlist size |
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| `DEFAULT_RR_THRESHOLD` | No | `1.5` | Minimum R:R ratio for setups |
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| `DB_POOL_SIZE` | No | `5` | Database connection pool size |
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| `LOG_LEVEL` | No | `INFO` | Logging level |
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> **Note:** Pipeline timing (daily / intraday / fundamentals cron, timezone) is configured at runtime in **Admin → Jobs** and stored in the DB — the `*_FREQUENCY` env vars are legacy fallbacks for the few jobs still on interval triggers (alerts, universe sync).
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## Production Deployment (Debian 12)
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### 1. Install dependencies
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```bash
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sudo apt update && sudo apt install -y python3.12 python3.12-venv postgresql nginx nodejs npm
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```
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### 2. Create service user
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```bash
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sudo useradd -r -s /usr/sbin/nologin stockdata
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```
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### 3. Deploy application
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```bash
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sudo mkdir -p /opt/stock-data-backend
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# Copy project files to /opt/stock-data-backend
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cd /opt/stock-data-backend
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python3.12 -m venv .venv
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source .venv/bin/activate
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pip install .
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```
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### 4. Configure
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```bash
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sudo cp .env.example /opt/stock-data-backend/.env
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sudo chown stockdata:stockdata /opt/stock-data-backend/.env
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# Edit .env with production values (strong JWT_SECRET, real API keys, etc.)
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```
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### 5. Database
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```bash
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DB_NAME=stock_data_backend DB_USER=stock_backend DB_PASS=strong_password ./deploy/setup_db.sh
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```
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### 6. Build frontend
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```bash
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cd frontend
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npm ci
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npm run build
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```
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### 7. Systemd service
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```bash
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sudo cp deploy/stock-data-backend.service /etc/systemd/system/
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sudo systemctl daemon-reload
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sudo systemctl enable --now stock-data-backend
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```
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### 8. Nginx reverse proxy
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```bash
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sudo cp deploy/nginx.conf /etc/nginx/sites-available/stock-data-backend
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sudo ln -s /etc/nginx/sites-available/stock-data-backend /etc/nginx/sites-enabled/
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sudo nginx -t && sudo systemctl reload nginx
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```
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Nginx serves the frontend static files from `frontend/dist/` and proxies `/api/v1/` to the backend.
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### 9. SSL (recommended)
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```bash
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sudo apt install certbot python3-certbot-nginx
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sudo certbot --nginx -d signal.thiessen.io
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```
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### Verify
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```bash
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curl https://signal.thiessen.io/api/v1/health
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```
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## Project Structure
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```
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app/
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├── main.py # FastAPI app, lifespan, router wiring
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├── config.py # Pydantic settings from .env
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├── database.py # Async SQLAlchemy engine + session
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├── dependencies.py # DI: DB session, auth guards
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├── exceptions.py # Exception hierarchy
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├── middleware.py # Global error handler → JSON envelope
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├── cache.py # LRU cache with per-ticker invalidation
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├── scheduler.py # APScheduler job definitions
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├── models/ # SQLAlchemy ORM models
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├── schemas/ # Pydantic request/response schemas
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├── services/ # Business logic layer
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├── providers/ # External data provider integrations
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└── routers/ # FastAPI route handlers
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frontend/
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├── index.html # SPA entry point
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├── vite.config.ts # Vite config with API proxy
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├── tailwind.config.ts # Tailwind + glassmorphism theme
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├── package.json
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└── src/
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├── App.tsx # Route definitions
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├── main.tsx # React entry point
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├── api/ # Axios API client modules (one per resource)
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├── components/
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│ ├── admin/ # User table, job controls, settings, data cleanup
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│ ├── auth/ # Protected route wrapper
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│ ├── charts/ # Canvas candlestick chart
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│ ├── layout/ # App shell, sidebar, mobile nav
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│ ├── rankings/ # Rankings table, weights form
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│ ├── scanner/ # Trade table
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│ ├── ticker/ # Sentiment panel, fundamentals, indicators, S/R overlay
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│ ├── ui/ # Badge, toast, skeleton, score card, confirm dialog
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│ └── watchlist/ # Watchlist table, add ticker form
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├── hooks/ # React Query hooks (one per resource)
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├── lib/ # Types, formatting utilities
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├── pages/ # Page components (Login, Register, Dashboard, Market, Signals, Regime, Ticker, Admin)
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├── stores/ # Zustand auth store
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└── styles/ # Global CSS with glassmorphism classes
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deploy/
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├── nginx.conf # Reverse proxy + static file serving
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├── setup_db.sh # Idempotent DB setup script
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└── stock-data-backend.service # systemd unit
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tests/
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├── conftest.py # Fixtures, strategies, test DB
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├── unit/ # Unit tests
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└── property/ # Property-based tests (Hypothesis)
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```
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