TRADING_MIN_QUALITY_SCORE 0.60 -> 0.20.
setup_evaluator.py:164 emits "quality_score": quality.score, where quality comes
from calculate_data_quality_score(bars). That module's own docstring reads "Data
quality scoring for minute-bar coverage and integrity" -- it measures whether the
bars are complete, not whether the setup is good. The name collision meant a
coverage metric has been gating live entries.
Tested against realised outcomes over 62 trades: r = 0.0845. Grade A averaged
+0.13%, grade B -0.71%, grade C -0.17% with an 80% win rate -- grade C beat grade
A. There is no signal in it. On 2026-09-14 it blocked SNDQ ("ready below quality
gate (score 0.56 < 0.60)") purely for gappy bars.
0.20 keeps it as a guard against genuinely broken data while removing it as a
setup filter. Renaming the field so the collision cannot recur is the proper fix
and is left for a follow-up.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01A2LepdJfPCfK5Q8uznjFBM
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).