Parabolic Short Trade Planner

Overview

Generate Qullamaggie-style Parabolic Short watchlists and conditional pre-market plans for US equities. The skill never sends orders. It emits JSON + Markdown that a human reviews against their broker before entry.

Three phases:

• Phase 1 (screen_parabolic.py): pulls EOD bars + company profile from FMP, applies hard invalidation rules (mode-aware), scores survivors on 5 factors (weights 30/25/20/15/10), and assigns A/B/C/D grades.
• Phase 2 (generate_pre_market_plan.py): takes the Phase 1 JSON, filters by --tradable-min-grade (default B), checks Alpaca short inventory (or ManualBrokerAdapter), evaluates SEC Rule 201 SSR state from the inherited prior-day close, and renders three trigger plans per candidate.
• Phase 3 (monitor_intraday_trigger.py): reads the Phase 2 plan, fetches 5-min bars (Alpaca live or fixture), walks each plan's FSM forward by one step, persists per-plan state, and writes an intraday_monitor JSON with state, entry_actual, stop_actual, and shares_actual (when triggered). One-shot — trader runs it every 1–5 min via watch or cron; replay-deterministic so re-runs are byte-identical.

When to Use

Invoke this skill when the user wants to:

• Build a daily Parabolic Short watchlist from S&P 500 (or a custom CSV).
• Translate a watchlist into pre-market trade plans with explicit borrow / SSR / state-cap gating.
• Audit a candidate's blocking vs advisory manual-confirmation reasons before placing an order at Alpaca.

Do NOT invoke for:

• Long-side momentum screening — use vcp-screener or canslim-screener.
• 1-minute / sub-minute intraday signals — Phase 3 evaluates 5-min bars only.
• Live order routing — this skill is detection-only by design; Phase 3 emits a triggered state with concrete entry/stop/share count, but the trader fires the order manually.

Workflow

Phase 1 — daily screener

1. Confirm FMP_API_KEY is set (env var or --api-key).
2. Run with the safer-by-default mode:

   python3 skills/parabolic-short-trade-planner/scripts/screen_parabolic.py \
     --mode safe_largecap --as-of 2026-04-30 --output-dir reports/

3. Inspect reports/parabolic_short_<date>.md — the watchlist is grouped by grade (A→D).
4. Promote interesting names to Phase 2.

For small-cap blow-offs, switch to --mode classic_qm (looser market cap and ADV floors, higher 5-day ROC threshold).

For testing without the API, run --dry-run --fixture <path> against a JSON fixture (one is shipped at scripts/tests/fixtures/dry_run_minimal.json).

Phase 2 — pre-market plan generator

1. Optional: set ALPACA_API_KEY / ALPACA_SECRET_KEY for live borrow checks. Without them the planner falls back to ManualBrokerAdapter, which marks every candidate as borrow_inventory_unavailable / plan_status: watch_only.
2. Run:

   python3 skills/parabolic-short-trade-planner/scripts/generate_pre_market_plan.py \
     --candidates-json reports/parabolic_short_2026-04-30.json \
     --account-size 100000 --risk-bps 50 --output-dir reports/

3. Output: reports/parabolic_short_plan_<date>.json. Each plan contains three entry plans (5min ORL break, first red 5-min, VWAP fail) with entry_hint / stop_hint formula strings (no baked-in shares — the trader computes shares at trigger time from the shares_formula).

Phase 3 — intraday trigger monitor

1. Confirm ALPACA_API_KEY / ALPACA_SECRET_KEY are set (Phase 3 uses Alpaca market data; data.alpaca.markets works for both paper and live accounts).
2. During US regular session, run one-shot per cadence — typical is every 60 s during the first 30 min, then every 5 min:

   python3 skills/parabolic-short-trade-planner/scripts/monitor_intraday_trigger.py \
     --plans-json reports/parabolic_short_plan_2026-05-05.json \
     --bars-source alpaca \
     --state-dir state/parabolic_short/ \
     --output-dir reports/

   Or wrap in watch -n 60 'python3 ...' / cron.
3. Output: reports/parabolic_short_intraday_<date>.json lists every monitored plan with state (armed / triggered / invalidated / FSM-specific), bar-derived transition timestamps, and size_recipe_resolved (concrete shares_actual) when triggered.
4. For testing without the API, use --bars-source fixture --bars-fixture <path> against a JSON fixture (scripts/tests/fixtures/intraday_bars/).

Phase 3 trigger detection is not an order instruction. Before any manual short entry, confirm borrow/locate availability, SEC Rule 201 SSR state, broker short-sale controls, and the broker's current intraday margin or day-trading controls. FINRA replaced the old pattern-day-trader day-count and $25,000 minimum-equity requirements with intraday margin standards effective 2026-06-04, with broker phase-in allowed through 2027-10-20.

Phase 3 is idempotent: each run replays the full session bars from open up to now_et (or --now-et override), so re-running during the same minute produces the same state. prior_state is used only for diff/notification display; it never advances the FSM.