What is parabolic-short-trade-planner?

A workflow for finding US stocks showing a sharp, potentially exhausted price rise and preparing conditional short-sale plans. It checks daily data, short availability, short-sale restriction status, and live five-minute price bars, but never sends orders.

Use it to screen for parabolic exhaustion patterns, create pre-market short watchlists, and monitor whether planned intraday triggers occur.

It turns a large stock list into scored candidates and rules for possible entries, stops, and position sizes. A trader can review the resulting plans before deciding whether to act.

parabolic-short-trade-planner — Skill for Claude Code and Codex by tra

About the project

Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.

tradermonty/claude-trading-skills · 2,813 stars · on GitHub · tradermonty.github.io

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add tradermonty/claude-trading-skills --skill parabolic-short-trade-planner

Clone the repo

git clone --depth 1 https://github.com/tradermonty/claude-trading-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/parabolic-short-trade-planner/github.svg)](https://agentmods.dev/skills/tradermonty/claude-trading-skills/parabolic-short-trade-planner)

Your own site

<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/parabolic-short-trade-planner"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/parabolic-short-trade-planner/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/parabolic-short-trade-planner"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/parabolic-short-trade-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,267 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

Socket pass 9 May 2026
Snyk warn 9 May 2026
NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00122	$0.02267
Opus 5	$0.00061	$0.01133
Sonnet 5	$0.00024	$0.00453
Haiku 4.5	$0.00012	$0.00227

Measured 13d ago against content hash 0ac6931bf889, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

parabolic-short-trade-planner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

The scan reads SKILL.md. This mod also ships 42 executable files (scripts/_fmp_compat.py, scripts/_market_calendar.py, scripts/adapters/__init__.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/parabolic-short-trade-planner/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Confirm FMP_API_KEY is set (env var or --api-key).

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/

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

Read the full file on GitHub · 188 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

13d ago First seen · 188 lines · 122 tokens per session scan A 0ac6931bf889

Subscribe to this mod's changes

parabolic-short-trade-planner is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 122 tokens to every session and 2,267 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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