This box no longer decides what firms exist. It caches the master's catalog
and stores one thing of its own: the Tradovate login for each firm. Creating
firms locally is gone — app/add, POST /api/firms, the account-config routes
and the banned-symbol route with it.
The cache is the point, not an optimisation. The scheduler needs every
account's target and size on each 60s tick, so fetching them per tick would
stop trading with positions open the first time the master rebooted. It is
one JSON blob in settings, replaced only by a complete valid response, and a
response with zero firms is refused outright: a misconfigured FIRMS_DB serves
{"firms":[]} as a healthy 200, and mirroring that would idle the whole fleet
at once.
Accounts bind to an account type by prefix AND size, the size taken from the
opening funding transaction. That does not arrive with the first sync, so an
account sits Unassigned and the resolver tries again next sync rather than
guessing. A type picked by hand is never overwritten by an auto pass. This
replaces the longest-prefix helper that had been copy-pasted into five files,
which could not tell two types with the same prefix apart at all.
firm_credentials and account_assignments deliberately have no foreign key to
the cached catalog. foreign_keys is ON, so a cascade would erase the Tradovate
passwords the moment a firm was removed on the master — routine, not
exceptional. They survive it, and are re-keyed by name if the master's database
is ever rebuilt with fresh ids.
The legacy firms/account_configs/firm_banned_symbols tables are left on disk,
unreferenced. firms is the only table that ever held plaintext credentials and
dropping it would make a rollback unrecoverable.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
400 lines
16 KiB
Markdown
400 lines
16 KiB
Markdown
# AutoFirmer
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Automated futures trading dashboard for prop firm accounts via Tradovate.
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---
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## Setup
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### Windows
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In **PowerShell**, from wherever you want the instance to live:
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```powershell
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irm https://git.juicerroom.com/senofy/autofirmer-expanded/raw/branch/master/setup-windows.bat -OutFile setup-windows.bat
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```
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```powershell
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.\setup-windows.bat
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```
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That is the whole install. It clones into an `autofirmer` folder beside itself,
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installs anything missing (Git, Node, Python) via winget, installs dependencies,
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builds, asks for the master dashboard URL and an instance name, and offers to
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set up auto-start and auto-update.
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Re-running it updates an existing checkout rather than cloning again, so it
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doubles as a repair tool.
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Two things it deliberately does, worth knowing:
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- **Node LTS, not latest.** `better-sqlite3` ships prebuilt binaries for LTS
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only. On a newer major it falls back to compiling with node-gyp and fails
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without Visual Studio Build Tools, so the script warns before that happens.
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- **It looks for tools off `PATH`.** A tool installed in the same session it is
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needed — or installed without its "add to PATH" option — is invisible to a
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running shell, so the script checks the standard install directories too.
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### Raspberry Pi 5 / Debian / Ubuntu
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```bash
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curl -fsSLO https://git.juicerroom.com/senofy/autofirmer-expanded/raw/branch/master/setup-linux.sh
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```
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```bash
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bash setup-linux.sh
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```
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Same idea, apt instead of winget. It installs Node 22 from NodeSource (Pi OS
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ships one too old for Next 16), `xdotool` and `scrot` for the clicker, and puts
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the Python dependencies in a virtualenv — Pi OS Bookworm enforces PEP 668, so a
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system-wide `pip install` fails outright.
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**The clicker needs X11.** Pi OS on a Pi 5 defaults to Wayland, which does not
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let one client synthesise input into another or read the focused window, so
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neither `xdotool` nor pyautogui can work there. The dashboard is unaffected, but
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for the AutoBuyer:
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```bash
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sudo raspi-config # Advanced Options -> Wayland -> X11, then reboot
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```
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`python clicker/diagnose.py` reports the session type, `DISPLAY` and whether
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`xdotool` is present — run it before trusting a new machine.
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The dashboard runs on port **3000**: `http://localhost:3000`.
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---
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## First-time setup
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On first run, the SQLite database (`autotrader.sqlite`) is created automatically in the project root. No migrations need to be run manually.
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Firms and their account types live on the master dashboard, not here — every
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machine pulls the same catalog so they cannot drift apart. This machine only
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stores the Tradovate login for each firm.
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1. On the **master dashboard**, open **Firms**, add the firm, and give it one
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account type per prefix + account size combination (profit target,
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consistency %, min trading days, and so on)
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2. Set **Dashboard URL** on this machine's **Settings** page so it can reach the
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master. The catalog is pulled at startup and then every 60 seconds
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3. On the main page, each firm from the catalog appears. Firms without stored
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credentials are greyed out — enter the Tradovate username and password in the
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fields beside the firm name and click **Save**
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4. Accounts populate once the firm connects. Each is matched to an account type
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by its name prefix *and* its size, so a new account shows as **Unassigned**
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until its opening funding transaction has been fetched. Use the **Account
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Type** dropdown to pin one by hand; a manual pick is never overwritten
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---
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## The master dashboard
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Set **Instance Name** and **Dashboard URL** on the Settings page and this
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instance does two things with them: it reports its firm and account counts every
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30 seconds, and it holds a WebSocket open to `<url>/ws/instance` so the master
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can drive it.
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What the master can trigger here:
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| | |
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|---|---|
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| Trade | Buy / Sell / Auto on a symbol, with the same "stop after all" option as the button on this dashboard |
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| Stop | Halts the auto-trade scheduler |
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| Run an automation | Queues a run for `clicker/runner.py`, exactly as the AutoBuyer page does |
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Commands land in [`lib/master-link.ts`](lib/master-link.ts), which calls the same
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functions the pages call — `runTrade`, `startScheduler`, `queueRun`. Nothing
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reaches the broker by a path the local UI does not also use, and every command
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is acked with its result or its error so the master shows what actually happened
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rather than assuming.
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The link is entirely optional. With no Dashboard URL configured it never starts,
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and if the master is unreachable the instance keeps trading on its own and falls
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back to the plain HTTP report until the socket comes back (retrying with backoff,
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capped at a minute).
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**Nothing authenticates this link in either direction.** Whatever answers at the
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Dashboard URL can place orders on every account this instance holds, so point it
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only at a master you control, and prefer `https` so the address cannot be
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redirected in transit. If the socket will not stay up, the `connected` light on
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the master is the only symptom — check this instance's logs for `[master-link]`.
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## AutoBuyer (browser automation)
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The AutoBuyer page drives a real browser to buy and reset prop-firm accounts. It
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is three pieces, and all three must be running:
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| Piece | What it does |
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|---|---|
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| the dashboard | Defines automations, queues runs, shows progress |
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| `extension/` | A Chromium extension that reads the broker page and measures elements |
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| `clicker/runner.py` | A desktop process that moves the real mouse and keyboard |
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Automations are declared in `lib/automations.ts` — one entry per firm, with the
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steps inside. Adding a button means editing that file; the page and the runner
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pick it up from the server.
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### 1. Install the extension
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The setup scripts do this as their last step: give them the Chrome Enterprise
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Core enrolment token from the Admin console (Devices → Chrome → Managed
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browsers) and they enrol this machine's Chrome. The extension then arrives from
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the console already set to force install, and Chrome keeps it updated. Run on
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its own at any time:
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```powershell
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powershell -NoProfile -ExecutionPolicy Bypass -File scripts\enroll-chrome-management.ps1
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```
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```bash
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sudo scripts/install-extension-policy.sh
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```
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The enrolment token is built into both scripts — a token is reusable across any
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number of machines — so there is nothing to type. Pass one explicitly to use a
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different org. Chrome itself is installed first if the machine hasn't got it,
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from Google's own enterprise MSI on Windows and the official .deb on Linux;
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Chromium is not accepted as a substitute, because it has no cloud-management
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support and can never be enrolled.
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**A Raspberry Pi needs none of it.** Chrome is not published for ARM, but
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Chromium is, and on Linux Chromium honours the same forcelist policy — the CRX
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is pure JavaScript, so the architecture is irrelevant. `setup-linux.sh` writes
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the policy and Chromium installs the extension from the update server on its
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next start. Loading `extension/` unpacked still works and still self-reloads,
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but it is no longer the only option there.
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**Enrolment is a Windows problem only.** Windows refuses to force-install an
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off-store extension unless the machine is domain-joined, Entra-joined or
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enrolled in Chrome Enterprise Core — it reads the policy and blanks it — and
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macOS wants MDM. Linux has no such requirement: a policy file under `/etc` is
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enough, which is why a Raspberry Pi running Chromium installs this with no
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Google account involved at all. On Linux, run `install-extension-policy.sh` and
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skip enrolment entirely. See [deploy/README.md](deploy/README.md). Either way the
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extension notices when
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the dashboard is running newer code than it is: a policy install asks Chrome to
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fetch the new CRX, an unpacked one reloads itself from disk. Clicking the reload
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icon on its card still works and is the thing to try when something looks
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stuck.
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Adding a new firm also means adding its host to `host_permissions` in
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`extension/manifest.json` and reloading. Without it the extension cannot read
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that site, and every step fails to locate.
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### 2. The clicker
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`setup-windows.bat` installs its Python dependencies, and re-applies them
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whenever `clicker/requirements.txt` changes. To do it by hand:
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```powershell
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python -m pip install -r clicker\requirements.txt
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```
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See `clicker/README.md` for the per-platform notes — display scaling and
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foreground lock both matter on Windows — and for the verification sequence to
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run before letting it click anything on a new machine.
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### 3. Start the runner
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Auto-start runs it under PM2, so normally there is nothing to do. To run it by
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hand instead:
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```powershell
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python clicker\runner.py
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```
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It reports in every two seconds, and the dashboard greys out
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the automation buttons when it is not there. A running Python process does not
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reload when the source changes, so restart it after pulling updates; the
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dashboard warns when its version is behind.
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### 4. Captchas
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A run that hits a captcha solves it through the **2captcha API**, not by clicking
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2captcha's own browser extension. The API key is hardcoded in
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`app/api/autobuyer/captcha/route.ts` — to bill a different account, set
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`TWOCAPTCHA_API_KEY`, or PATCH `twocaptcha_api_key` to `/api/settings`. Either way
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the key stays on the dashboard: the runner asks this machine to solve and never
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handles it.
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A `solveCaptcha` step then does three things, with no mouse involved: the
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extension reads the widget's sitekey out of the page, the dashboard buys a token
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from 2captcha, and the extension puts that token into the page's response field
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and fires the page's own callback. reCAPTCHA v2 (including Enterprise), hCaptcha
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and Turnstile are detected automatically.
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If the 2captcha *extension* is still installed, disable it or turn off its
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auto-solve. Two solvers racing on one widget is a good way to burn balance and
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end up with a token the page has already replaced.
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Solving costs money per captcha, and a failed solve is still billed. `timeoutSeconds`
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on the step caps how long a run waits; 2captcha usually answers in 10–30s.
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**The solver proxy.** Solves go through 2captcha's residential proxy, so the
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challenge is answered from a residential address rather than a datacentre one.
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The credentials are hardcoded in `app/api/autobuyer/captcha/route.ts`; override
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them without touching code via `TWOCAPTCHA_PROXY`, or by PATCHing
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`twocaptcha_proxy` to `/api/settings`. Either accepts `none` to solve proxyless.
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Neither has a field on the Settings page — both are hardcoded, so there is
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nothing to fill in. The run log names the address that
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solved each captcha — the first thing to check when a token comes back and the
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site rejects it anyway.
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Two things that proxy does *not* do. It is not the browser's proxy: the token is
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solved from the proxy's address but the form is submitted from this machine's,
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and nothing makes those match. And the pool is not geo-pinned — despite the
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`na.` hostname, test requests exited from Russia and Japan. For reCAPTCHA v2 and
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Turnstile that mismatch is usually tolerated; if a site starts rejecting tokens
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that 2captcha reports as solved, set the proxy to `none` and compare.
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### Running it
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Press an automation's button. Progress appears per step, and **Stop** halts a run
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between steps.
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There is no switch to throw first. Page capture follows whichever firm tab you
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are looking at and stops when you switch away, and a run starts because someone
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asked for one — from this page or from the master dashboard. The only thing that
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gates a run is whether `clicker/runner.py` is up to claim it, which the page
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shows as **Autoclicker daemon**.
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That does mean a queued run executes as soon as the runner sees it, with no
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second confirmation. Stop the runner if you want the machine idle.
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The browser must be visible and frontmost while a run is in flight — the clicks
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are real OS-level input, so the machine cannot be used for anything else, and a
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dialog stealing focus fails the step. That makes an RDP session a poor host:
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disconnecting can suspend the desktop and break clicks in ways that are hard to
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diagnose.
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## Keeping it running
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`setup-windows.bat` offers to set this up for you at step 6. To enable it later,
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or after declining:
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```powershell
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powershell -NoProfile -ExecutionPolicy Bypass -File scripts\install-autostart.ps1
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```
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That puts the dashboard, the clicker and an update checker under PM2, adds a
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Startup-folder entry so PM2 comes back at logon, and lets PM2's cron restart run
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the update check every 5 minutes. It needs no administrator rights, changes
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nothing machine-wide, and is safe to re-run.
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```powershell
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pm2 list # what is running
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pm2 logs autofirmer # dashboard output
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pm2 logs clicker # runner output
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```
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**Why not a Windows service.** The clicker sends real mouse and keyboard input
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and has to own a desktop. A service runs in session 0, which has none, so the
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clicks would go nowhere. Everything therefore runs in your logged-in session —
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which also means an unattended reboot leaves the instance down until somebody
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logs in.
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To stop it starting at logon, delete the `AutoFirmer.cmd` shortcut from your
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Startup folder (`shell:startup` in the Run dialog).
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To start everything by hand without waiting for a logon:
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```powershell
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node scripts\start-all.mjs
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```
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`start-autofirmer.bat` still runs the dashboard in a visible window without PM2,
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which is the easier thing to watch when a build is misbehaving.
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## Firewall
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To restrict port 3000 to a specific trusted IP only:
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```powershell
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New-NetFirewallRule -DisplayName "AutoFirmer" -Direction Inbound -Protocol TCP -LocalPort 3000 -RemoteAddress <your-ip> -Action Allow
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```
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Or open it to all inbound (less secure):
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```powershell
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New-NetFirewallRule -DisplayName "AutoFirmer" -Direction Inbound -Protocol TCP -LocalPort 3000 -Action Allow
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```
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---
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## Publishing extension updates
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The extension is signed and served from the droplet, which is what lets Chrome
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update it on its own. Everything else — the dashboard, the clicker — stays on
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the trading machine.
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```bash
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# on the droplet, in /opt/autofirmer
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git pull && ./deploy/deploy.sh
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```
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That packs `extension/` at the version in its `manifest.json` — **bump it or
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nothing updates** — signs it, and publishes the CRX and update manifest. See
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[deploy/README.md](deploy/README.md).
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---
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## Updating
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Once auto-start is installed, nothing here is manual. Every 5 minutes the update
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task fetches `master`, and when it has moved it pulls, reinstalls dependencies if
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`package-lock.json` or `clicker/requirements.txt` changed, rebuilds, restarts
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AutoFirmer, and restarts the clicker if anything under `clicker/` changed.
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**A failed build is never deployed.** The build runs before anything restarts, so
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a broken push leaves the previous build serving and logs the failure instead.
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### Checking it is alive
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`scripts/.last-check` is rewritten on every check, whether or not anything came
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down:
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```
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2026-08-31T00:43:27.155Z up to date at 27a61fd2
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```
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This exists because the alternatives mislead. `update.log` only records real
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events, so it stays empty for days when nothing is pushed — and PM2 reports a
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cron-restart process as `stopped` with a restart count of `0` even while it is
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firing on schedule. Neither is evidence of a problem; `.last-check` is the
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signal to trust.
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Everything that actually happens is appended to `scripts/update.log`. To see
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what it would do without touching anything:
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```powershell
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node scripts\update-check.mjs --dry-run
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```
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To apply an update immediately rather than waiting for the next check:
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```powershell
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node scripts\update-check.mjs
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```
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### What reloads itself, and what does not
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- **The extension** updates itself now. `/api/autobuyer/status` reports the
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version the dashboard's own checkout ships, and when the running build is
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older the extension acts on it: a policy install asks Chrome to fetch the new
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CRX from the update server, an unpacked one calls `chrome.runtime.reload()`
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and comes back on the files the update check pulled. The unpacked path can
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only run code already on disk, so if it reloads before the pull lands it says
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so in the popup and waits rather than restarting in a loop.
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- **The scheduler is fine now.** It persists to the settings table and resumes
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after a restart, so an update no longer silently stops automated trading.
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- **The runner** does not. It is a long-lived Python process; the update check
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restarts it when anything under `clicker/` changes, and the dashboard warns
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when the version it reports is behind what the server expects.
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The dashboard reports the version it sees from the extension and the runner, and
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warns when either is behind. Most AutoBuyer bugs that look mysterious are the
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extension still running the previous code.
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