tradermonty avatar

Parabolic Short Trade Planner

A three-phase workflow for building Qullamaggie-style parabolic short watchlists with explicit pre-market planning and intraday trigger monitoring. Phase 1 scores S&P 500 stocks on five exhaustion factors using FMP data, Phase 2 generates conditional entry plans with borrow and SSR checks, and Phase 3 walks a finite state machine through live 5-minute bars to detect trigger fires. The design is detection-only: it never sends orders, just emits JSON with concrete share counts when a trigger condition hits. Useful if you trade parabolic exhaustion shorts and want systematic screening plus replay-deterministic monitoring that you can audit before manually pulling the trigger at your broker. The earnings-aware filtering and idempotent state management are thoughtful touches.

skills.sh installs
3.1K
GitHub stars
3.7K
last updated
Aug 21, 2026

Install

$ npx -y skills add tradermonty/claude-trading-skills --skill parabolic-short-trade-planner --agent claude-code

Installs into .claude/skills of the current project.

Files

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.

Sponsors

Details

Repository
github.com/tradermonty/claude-trading-skills
Categories
Frontend Development, Rust, CLI & Terminal, Finance & Trading
First seen
Jun 3, 2026

More from tradermonty/claude-trading-skills

All 54
1mindrally avatarframer-motionmindrally/skillsExpert guidelines for building performant animations with Framer Motion/Motion library in React applications3.1Kskills.sh installs
2browserbase avatarfetchbrowserbase/skillsUse this skill when the user wants to retrieve a URL without a full browser session: fetch HTML or JSON from static pages, inspect status codes or headers, foll3.1Kskills.sh installs
3browserbase avatarbrowser-tracebrowserbase/skillsCapture a full DevTools-protocol trace of any browser automation — CDP firehose, screenshots, and DOM dumps — then bisect the stream into per-page searchable bu3.1Kskills.sh installs
4freshtechbro avatargsap-scrolltriggerfreshtechbro/claudedesignskillsComprehensive skill for GSAP (GreenSock Animation Platform) and ScrollTrigger plugin. Use this skill when creating web animations, scroll-driven experiences, ti3.1Kskills.sh installs
5openai avatarfigma-useopenai/skills**MANDATORY prerequisite** — you MUST invoke this skill BEFORE every `use_figma` tool call. NEVER call `use_figma` directly without loading this skill first. Sk3.1Kskills.sh installs
6mksglu avatarcontext-modemksglu/context-modeUse context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing large outputs. Triggers: "analyze logs", "summarize output", "process3Kskills.sh installs