Production shows yahoo with a ten minute delay because LIVE_SOURCE=schwab lives in .env, which is gitignored and so has never been deployed. Nothing in the repo can carry it, and that is deliberate — but it means the switch is invisible until someone looks at the status line and wonders. Written down: the three Coolify variables, the token file that has to land on the persistent volume, and two things easy to get wrong. The local token needs no new login because it was minted against the production callback and Schwab binds tokens to the app rather than the machine. And the dev stream has to stop first, because one refresh token means one streaming connection and the two installs will fight over it. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
308 lines
14 KiB
Markdown
308 lines
14 KiB
Markdown
# chart
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FastAPI backend + Vue 3 (from CDN, no build step) served at
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<https://chart.amow.com>.
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The app charts Yahoo's `ES=F` feed, builds CME-session-aware timeframes, daily moving
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averages, prior-day high/low/close and session VWAP, and alerts on confluence zones.
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The full spec lives in
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[`docs/IMPLEMENTATION_PLAN.md`](docs/IMPLEMENTATION_PLAN.md) — read it before writing
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code; it records decisions and verified API facts that are expensive to rediscover.
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## Local development
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```bash
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docker compose up --build
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```
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Then open <http://localhost:8010>. Override the host port with, for example,
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`PORT=8020 docker compose up`. The port binds to all host interfaces, so another
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machine can connect at `http://HOST_IP:8010`. The source tree is bind-mounted and uvicorn
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runs with `--reload`, so edits to `main.py` or `static/` take effect without a
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rebuild. Rebuild only when `requirements.txt` changes.
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The Compose stack also includes Playwright for browser screenshots. It reaches
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the app over the internal Compose network and writes ignored artifacts locally:
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```bash
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docker compose exec playwright playwright screenshot \
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--lang en-US --wait-for-timeout 5000 http://api:8000 /artifacts/chart.png
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```
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Without Docker:
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```bash
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python3 -m venv .venv && . .venv/bin/activate
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pip install -r requirements.txt
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uvicorn main:app --reload
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```
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Copy settings from `.env.example` as needed. To recalibrate the alert threshold against
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Yahoo's current eight-day minute tape:
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```bash
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python3 -m scripts.calibrate_alerts
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```
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It sweeps threshold and cooldown in a single replay pass and prints alerts per session.
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The 2026-08-09 calibration ran when daily moving averages were the only levels, and
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`28` produced no alerts at all — there was nothing for a daily MA to cluster *with*.
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Adding prior-day H/L/C and VWAP changed that completely: the same threshold went to 247
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alerts over six sessions, 185 of them in one day.
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Two fixes brought it back, in this order:
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- **Cluster identity** was `sha1(side + round(center / tolerance))`, and `tolerance`
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derives from ATR — so it moved every bar. The same zone was continually issued a new
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id, never matched the cooldown table, and the cooldown was silently defeated. 247 → 54.
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- **Alert suppression** keyed on cluster identity, so a level drifting in or out of a
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group counted as a new zone. It now suppresses by *proximity*: two zones within one
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ATR are the same zone. 54 → 40.
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- **Suppression also matched on side**, and side is positional — a level sitting at
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price flips between support and resistance every time price ticks across it. Each
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flip read as a new zone. Found by putting a real line at the live price and getting
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four pushes in two minutes. 40 → 26.
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Only then does the cooldown do anything useful. At threshold `28` the sweep reads:
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| cooldown | total | max/session |
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|---|---|---|
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| 900s | 26 | 19 |
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| 3600s | 18 | 12 |
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| 7200s | 12 | 7 |
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| **14400s (selected)** | **10** | **5** |
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Note the threshold itself is a blunt control: scores are sums of 12s (moving averages,
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VWAP) and 16s (prior-day levels), so `20`, `24` and `28` behave identically and `32`
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falls to zero. Cooldown is the finer knob. Revisit both as more varied tapes are
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recorded — six sessions is not much, and one of them dominates the totals.
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## Layout
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| Path | Purpose |
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|---|---|
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| `main.py` | FastAPI lifespan and app wiring; JSON under `/api`, SPA at `/` |
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| `app/` | Market sources, aggregation, analysis, alerts, and API |
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| `static/` | `index.html`, `app.js`, `style.css` — Vue 3 loaded from unpkg |
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| `requirements.txt` | Python deps |
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| `Procfile` | Start command; **nixpacks needs this** or the deploy has nothing to run |
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| `bin/wait-deploy` | Blocks until the live site serves your latest commit |
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| `Dockerfile.dev`, `docker-compose.yml` | Local dev only — production does not use them |
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## Deployment
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Push to `main` → Forgejo webhook → Coolify rebuilds with nixpacks → live.
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Rebuild time depends on whether Docker's build cache is warm: measured at
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**~20s warm** (you pushed recently) and **~90s cold** (the cache goes stale
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after an idle hour or so, which is the usual case). Nothing changes on the site
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until the new container swaps in at the very end, so the old version keeps
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serving for the whole build.
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To know when your commit is actually live, rather than guessing:
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```bash
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git push && bin/wait-deploy
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```
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It polls `/api/version` (which returns the `SOURCE_COMMIT` Coolify bakes into
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the container) until it matches your local `HEAD`, then exits. Runs from any
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machine — no Coolify token, no SSH tunnel. Check by hand any time with:
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```bash
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curl -s https://chart.amow.com/api/version
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```
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One more trap worth naming: if your change only touches an `/api` endpoint, the
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HTML is byte-identical and a browser refresh looks like nothing happened even
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after a successful deploy. Verify the endpoint, not the page.
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Two things to know before changing the deploy config:
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- The Coolify domain is registered as `https://chart.amow.com:8000`. The port
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suffix is how Coolify decides the Traefik target port; drop it and every
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request 502s while the container looks perfectly healthy. It does not appear
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in the public URL.
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- Ignore a 502 in the first minute after a deploy — that's the rolling container
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swap, and it clears on its own.
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Manual redeploy:
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```bash
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curl -X POST -H "Authorization: Bearer $(cat ~/.coolify-token)" \
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"http://127.0.0.1:8000/api/v1/deploy?uuid=dgvch0xqv8uvjfor7dl8bwl9&force=true"
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```
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## Putting the live feed on production
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Production runs the default `LIVE_SOURCE=yahoo` and therefore shows "yahoo" with
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a ~10 minute delay. `LIVE_SOURCE=schwab` and the credentials live in `.env`,
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which is gitignored — so the switch has never crossed the deploy boundary. It
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cannot: nothing in the repo carries it.
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Four things are needed, and all of them are set on the VPS rather than here.
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**1. Environment, in Coolify:**
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```
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LIVE_SOURCE=schwab
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SCHWAB_API_KEY=... # same values as the local .env
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SCHWAB_APP_SECRET=...
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```
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`SCHWAB_CALLBACK_URL` already defaults to `https://chart.amow.com/api/qt`, which
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is what the Schwab app is registered with. Do not change it — a registered
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callback edit can send the app back through approval.
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**2. The OAuth token, at `data/.schwab_token.json` on the persistent volume.**
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No new login is required: the local token was minted against the production
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callback, and Schwab tokens are bound to the app rather than the machine. Copy
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the file's contents into that path on the volume. If the path is not persistent,
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the next deploy erases it and production falls silently back to Yahoo.
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**3. Stop the dev stream first.** One refresh token means one Schwab streaming
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connection. Dev and production both streaming will fight for it — see the risk
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register on duplicate connections. Set `LIVE_SOURCE=yahoo` in the local `.env`,
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or stop the local stack, before production goes live.
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**4. Plan for expiry.** The Schwab refresh token lasts about seven days. When it
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lapses, production drops back to Yahoo and needs a fresh token by the same
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route: run the flow locally, paste the callback URL from `/api/qt` into the
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waiting prompt, then copy the new token onto the volume.
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Verify from anywhere:
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```bash
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curl -s -H "X-Chart-Token: $TOKEN" https://chart.amow.com/api/status
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# want: "source":"schwab","delay_minutes":0
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```
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## Access token
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`CHART_AUTH_TOKEN` guards everything under `/api` plus the `/ws` stream. Leave
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it blank and the app is wide open, which is what you want locally — nothing
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prompts. Set it and every request needs the token, as the `X-Chart-Token`
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header or a `?token=` query parameter (WebSocket handshakes can't carry
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headers, hence the second form).
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In production the token lives in **Coolify's environment variables**, not in
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this repo and not in `.env` — that file is gitignored and never exists in the
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built container. Coolify re-injects its env vars into every container it
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builds, so the token survives redeploys and reboots.
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The browser asks for it once on the first 401 and keeps it in `localStorage`.
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To clear it: `localStorage.removeItem('chart-token')`.
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`/api/health` and `/api/version` deliberately stay open — `bin/wait-deploy`
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polls the latter from whatever machine you pushed from, and neither reveals
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anything about the market data or the configuration.
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## Setting an alert on a price
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Type the price into **Price alert** in the sidebar. It appears as a horizontal line
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across the chart with a price-axis label, and alerts when price reaches it.
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A price alert is stored as a manual line with `slope = 0`, so it inherits the whole
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manual-line pipeline — JSON persistence, renaming, recolouring, deletion, clustering
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with nearby levels — rather than being a parallel system. Two consequences worth
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knowing:
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- It **alerts regardless of confluence score**, like any hand-placed level. Weight
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exists to rank levels you did not ask for; you asked for this one.
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- It has no drag handles and no "end line here" menu, because a price line has no
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endpoints to grab. Manage it from the sidebar list.
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If it lands near other levels it clusters with them and the score adds up, so a typed
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level sitting on the prior-day close reads as one zone rather than two alerts.
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## Market data: Yahoo for the past, Schwab for the present
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Both sources run together. This is the intended configuration, not a fallback:
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- **Schwab** streams real-time `/ES` minute bars over `CHART_FUTURES`
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(`delayed: false`), but serves **no futures history at all** — everything it
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knows starts when you connect.
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- **Yahoo** has roughly 730 days of hourly data, which is what makes a 200-day
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moving average warm at startup rather than in ten months. It lags ~10 minutes.
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Switch the live feed with `LIVE_SOURCE=schwab`; seeding stays on Yahoo whatever
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you set, because Schwab has nothing to seed from. The symbols differ — Yahoo says
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`ES=F`, Schwab says `/ES` — and `Settings.live_symbol` picks the right one. Every
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bar carries a `source` tag so the seam stays visible.
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**Expect a gap of up to ten minutes at the right-hand edge after a restart.**
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Yahoo's history reaches to *now − 10 min* while the stream starts at *now*, so
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the most recent bars are briefly missing. It backfills itself as Yahoo catches
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up. Live price and alerts are unaffected — those come from the stream. Persisting
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bars would remove it entirely.
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`/ES` resolves to the active contract (`/ESU26` today) on Schwab's side, so
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contract rolls need no handling.
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### Rate limits
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The developer portal shows **Order Limit: 120**, which caps orders per minute —
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this app places none. Schwab separately rate-limits REST calls, commonly cited at
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120 per minute.
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Neither constrains us, because **streaming is not REST**. The WebSocket is a
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single connection and bars arrive by push, so steady-state Schwab REST usage is
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essentially zero. This is a concrete advantage of the stream over the polling
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fallback: polling `get_quotes()` once a second would have sat at roughly half the
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limit permanently, forever.
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The exception is reconnects. Each one calls `get_user_preferences()` to fetch the
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socket URL, and `StreamService` retries every five seconds, so a sustained outage
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generates about twelve REST calls a minute. Comfortably under, but not nothing —
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worth remembering before shortening that backoff.
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Yahoo is a different service and none of these limits apply to it.
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### Authenticating
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```bash
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python3 -m scripts.check_schwab # prints the login URL
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python3 -m scripts.check_schwab --redirect-url '…' # exchanges the code
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python3 -m scripts.check_stream 60 /ES # confirms bars arrive
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```
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Two steps, neither interactive, so the browser can be on a different machine —
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you copy a URL out and paste one back. **The authorisation code expires in about
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thirty seconds**, so have the second command ready before you approve. The
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callback page 404s until this branch is deployed; that is cosmetic, the code is
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in the address bar regardless.
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The token refreshes itself for seven days, then needs the flow again. It is
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per-machine: `.schwab_token.json` locally, and under `data/` in production, which
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is the Coolify volume. Locally `data/` is owned by root because Docker created it
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through the bind mount, which is why the local path differs.
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## Alerts and ntfy
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Alerts are evaluated **server-side**, once per closed 1m bar, by a single engine
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living in `Runtime`. They do not depend on a browser being connected — that is the
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whole point of the phone push — and opening two tabs does not double-notify.
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`NTFY_TOPIC` must be set or nothing sends; `send_ntfy` returns immediately on a blank
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topic. Set it in **Coolify's environment variables** for production, not in this repo.
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**Use a different topic locally — or better, none.** Cooldown state is in memory, so
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every restart starts with empty cooldowns and the first closed bar re-alerts whatever
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zone price is sitting on. Locally that means every `--reload` save. Leaving
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`NTFY_TOPIC` blank keeps the in-browser sound and banner while suppressing the push;
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set a `-dev` topic only while testing the push path itself.
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The same applies to production, more slowly: **a deploy resets the cooldowns**, so a
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zone that alerted an hour ago can alert again right after a redeploy. Persisting the
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fired-zone table would fix it.
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Note that ntfy topics are public by default: anyone who knows the name can both read
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your alerts and publish to it. Treat the topic name as a secret.
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## Saved trendlines
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Manual trendlines are written to `MANUAL_LINES_PATH` (`./data/manual_lines.json`).
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In production `/app/data` is a **Coolify persistent volume** — without it the
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container filesystem is ephemeral and every deploy would silently wipe every
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line you've drawn.
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