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/parabolic-short-trade-planner

@9bd11b7

Screen US equities for parabolic exhaustion patterns and generate conditional pre-market short plans, then evaluate intraday trigger fires from live 5-min bars. Phase 1 daily 5-factor scorer (MA extension / acceleration / volume climax / range expansion / liquidity), Phase 2 per-candidate plans for ORL break / first-red 5-min / VWAP fail with explicit borrow / SSR / manual-confirmation gating, Phase 3 one-shot intraday FSM that detects trigger fires and resolves concrete share counts. Covers Phase 1 + Phase 2 + Phase 3.

Use this Skill: https://skilld.dev/gh/tradermonty/claude-trading-skills/parabolic-short-trade-planner

This session only. Nothing lands on disk.

referencesshort_risk_management.md

≈666 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Short Risk Management

SEC Rule 201 (Short Sale Restriction)

Triggered when a security's regular-session intraday price drops 10% or more from the prior day's regular-session close. While active:

  • New short sales are restricted to prices ABOVE the national best bid (the "uptick rule").
  • The restriction holds for the rest of the trading day and the full next trading day.

Implementation note: this skill inherits prior_regular_close from Phase 1's key_levels.prior_close (sourced from FMP's historical-price-eod/full, which is the regular-session 4:00 PM ET close). It does NOT use FMP's quote endpoint previousClose, which can drift to the aftermarket print.

ssr_state_tracker.py persists per-symbol state to state/parabolic_short/ssr_state_<ticker>_<date>.json so today's ssr_triggered_today rolls forward to tomorrow's ssr_carryover_from_prior_day.

Borrow inventory: Alpaca specifics

Alpaca only allows new short opens on Easy-To-Borrow (ETB) names. The adapter encodes this exactly:

can_open_new_short = shortable AND easy_to_borrow
borrow_fee_apr     = 0.0 if easy_to_borrow else None
manual_locate_required = True   # always

A name that is shortable=True but easy_to_borrow=False (HTB) cannot be opened on Alpaca regardless of locate. Phase 2 marks these as borrow_inventory_unavailable (a hard blocker) and renders the plan as plan_status: watch_only.

manual_locate_required is True even on ETB names. The trader still confirms locate at the broker before entry — it's an advisory reason, not blocking, so plans for ETB names stay actionable.

Position sizing

The size_recipe_builder.py outputs:

  • risk_usd — per-trade risk in USD (account_size × risk_bps/10000).
  • max_position_value_usd — per-symbol position cap (account_size × max_position_pct/100), tightened if current_short_exposure is high.
  • shares_formula — string form of the formula. Phase 3 evaluates it at trigger fire when actual entry/stop are known.
  • exposure_cap_applied — True if the per-symbol cap was tightened because the aggregate short-book budget was already mostly used.
  • remaining_short_exposure_capacity_usd — how much short-book headroom is left.

This deliberately excludes a fixed share count. ORL / first-red / VWAP-fail entries only have known prices intraday, so committing to a share count pre-market would be inaccurate.

Daily loss limits

Not enforced in this MVP. The trader is responsible for honoring account-level circuit breakers. A future revision can add a state/ file recording realized P&L and reject new plans when the daily loss limit is hit.

Source: SKILL.md on GitHub

1 warning5d3 checks · Risk SAFE
  • Gen Agent Trust Hub5d

    The skill is a legitimate trading tool designed to screen US equities for parabolic exhaustion patterns and assist in trade planning. It securely retrieves financial data from well-known providers like Financial Modeling Prep and Alpaca Markets, and it demonstrates good security posture by explicitly avoiding dynamic code execution for trade calculations.

  • Socket5d

    1 alert: gptAnomaly

  • Snyk5d

    Risk: LOW · No issues

Signed by skilld at 9bd11b7. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 18 hours ago.

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