atm/TODOS.md

TODOS

Post-Faza 1 backlog. Priority tags: P1 (next sprint), P2 (after baseline proven), P3 (nice-to-have).

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P2-ack-loop — Discord reaction feedback

Deferred from Faza 1. Operator reacts to alert with emoji (👍 = good call, 👎 = false positive, ⏭️ = phase-skip). Bot reads reactions via Discord Bot API (not webhook), appends to labels_live.json. Feeds precision tuning without manual labeling.

• Requires upgrading Discord integration from webhook to bot (token + gateway).
• Ack loop runs as separate async task; not in hot detection path.
• Start after 5+ sessions of stable Faza 1 baseline.

P2-screenshot-dump

Standalone helper atm dump --duration 4h --dir samples/ that just captures frames every N seconds to a directory without running detection. Used during early sessions to accumulate labeled corpus.

• Small module src/atm/dumper.py invoked via main.py.
• Separate from run so operator can capture raw data even before calibration is dialed in.

P2-windows-scheduler-docs

Expand README with concrete Windows Task Scheduler XML export + import steps, example triggers for 16:30→18:30 and 21:00→23:00, and DST-change checklist reminder.

P2-alert-mute-flags

Per-kind mute toggles for notifications in case arm/prime turn out too noisy in live sessions:

• cfg.notify.arm: bool = true
• cfg.notify.prime: bool = true
• cfg.notify.late_start: bool = true

Default all true. Gate each notifier.send() in _handle_tick() on the flag. Start after 3+ live sessions confirm the signal/noise ratio.

Blocked on: Faza 1 baseline evidence.

P3-faza2-exec

Auto-execution on TradeLocker. Blocked on TOS audit (see docs/phase2-prop-firm-audit.md). Not started until GO decision + 20+ Faza 1 sessions.

P3-multi-symbol

Monitor DIA and GLD concurrently (two separate charts). Current scope: one at a time, operator switches. Multi-symbol needs per-symbol config, separate state machines, and separate notification threads.

P3-web-dashboard

Read-only web view of today's audit JSONL + recent triggers. Useful for review after a session but not essential. Would share audit.py log format.

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P2-yaxis-recalib-detect — Y-axis recalibration detection

Price overlay (from Telegram commands feature) uses y_axis linear interpolation to show current price on screenshots. When the user rescales the chart y-axis (common after overnight price gaps), the calibration becomes stale and prices shown are incorrect. Canary check detects layout drift but NOT y-axis range changes.

• Possible approaches: OCR on y-axis labels (fragile), track price range consistency across sessions, or simple "calibration age" warning after N hours.
• Start after price overlay is live and the false-price frequency is known.
• Depends on: Telegram commands + price overlay feature being shipped.

Quality debt

• Integration test for run_live loop: lifecycle async test added in tests/test_main.py (IDLE→ARMED→PRIMED auto-poll→FIRE auto-stop).
• Coverage report: run pytest --cov=atm --cov-report=term-missing, aim for ≥ 85% per module.
• Typing strictness: run pyright src/ with strict mode, fix reported issues.
• Perf baseline: profile one detection cycle on a representative frame; ensure < 100ms so 5s loop has ample headroom.