momentum devandClaude Fable 5
b3a47d775d
Telemetry: discovery took 6-30s ON the single scheduler, freezing ingest/arm so the trigger read stale bars — the real 'late edge detection'. Now discovery runs on its own daemon thread with a dedicated DB connection; the watchlist it mutates is a lock-guarded Watchlist (list-like drop-in, no torn reads); the scheduler discover step auto-disables (single-writer). Loop is now 3 fast threads (entries/exits/discovery) + slow scheduler for tolerant work. Also: nightly_tune writes a heartbeat every run, so the boot alert distinguishes 'tuner not running' (real) from 'ran, no profitable ORB config, kept params' (expected — the strategy has no edge). Kills the misleading Telegram alarm. 543 tests green. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Deploying Momentum
Three supported shapes, one image/codebase. Pick by where it runs:
| Mode | Status | Use when | Docs |
|---|---|---|---|
| Docker Compose | ✅ canonical (production since 2026-07-09) | Any always-on Linux host; TrueNAS SCALE | docker/README.md, docker-compose.yml (root), docker/truenas-compose.yml |
| Local (systemd) | ✅ maintained | Development machine, WSL, bare metal without Docker | systemd/README.md + unit templates in deploy/systemd/ |
| Helm / Kubernetes | 🚧 planned refresh | Future k8s hosting | helm/ — the chart predates the 2026-07 architecture; starting point, not deployable |
Docker Compose (canonical)
The root docker-compose.yml runs the full stack self-contained: postgres 18,
trading loop, dashboard (:8765), admin panel (:8767), telegram bot, transcripts
pipeline, nightly scheduler, on-demand jobs, optional Grafana. The image is
published to docker.io/fez5587/momentum-app and ghcr.io/fez5587/momentum-app
by CI on every master push.
For TrueNAS SCALE use docker/truenas-compose.yml (pull-only, dataset host
paths, inline env). Read the gotchas in docker/README.md before editing the
YAML — anchor expansion, per-service env, and path case-sensitivity have each
caused an outage.
Local (systemd user services)
The original deployment: unit templates in deploy/systemd/ running a git
checkout + venv, config from .env. Still the best loop for development —
tests, backtests, and research scripts run here. Keep the units disabled
while the compose stack owns production: two loops against one Alpaca account
create duplicate orders.
Helm (future)
deploy/helm/ holds the original chart (single app deployment + CronJobs). It
predates the service split, the session gate, and the env-flag inventory; the
refresh is tracked in GitHub issues. Until then, compose is the way.
Config in all modes
.env.example(committed, sanitized) is the full variable inventory and says which layer each belongs in.- Behavior flags that MUST be set explicitly in any deployment — silent
defaults bite:
TRADING_AUTO_APPROVE=1(else entries queue for manual approval),ALPACA_DATA_FEED=sip,OLLAMA_ENABLED=true(catalyst engine),FMP_API_KEY(float cache).TRADING_SESSION_ONLYdefaults ON in deployed configs (bars after-hours entries). - Runtime overrides: the admin panel writes
data/overrides.env, which every service loads over its baked env at boot (runtime/env_overrides.py).