agentmods.dev

parabolic-short-trade-planner

parabolic-short-trade-planner is a skill for Claude Code, Codex from tradermonty/claude-trading-skills. It costs 122 tokens per session (2,267 once invoked), scanned A, original, MIT.

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.

In plain words
What is it for?
Use it to screen for parabolic exhaustion patterns, create pre-market short watchlists, and monitor whether planned intraday triggers occur.
Why use it?
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.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 3.4krepo +244 yesterday A scan Socket: warnSnyk: passSkillSpector: pass 122 tokens original MIT

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

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tradermonty/claude-trading-skills/parabolic-short-trade-planner
View source ↗ tradermonty/claude-trading-skills tradermonty.github.io
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 · 3,373 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.

agentmods badge for parabolic-short-trade-planner

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.

agentmods 80×15 button for parabolic-short-trade-planner

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 warn 26 Sept 2026
  • Snyk pass 26 Sept 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00122 $0.02267
Opus 5.5 $0.00049 $0.00907
Sonnet 5.5 $0.00024 $0.00453
Haiku 4.5 $0.00012 $0.00227

Measured 1mo ago against content hash 0ac6931bf889, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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

  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.

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.

  1. 1mo 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 (3,373 stars, last pushed yesterday), licensed MIT. It adds 122 tokens to every session and 2,267 once invoked, about $0.0005 per session on Opus 5.5. 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.

Finance and fintech
Related

Other skills, from other repositories

sector-rotation

An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.

HKUDS/Vibe-Trading · 39 tokens

twitter-reader

Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…

himself65/finance-skills · 110 tokens

energy-procurement

Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…

hashgraph-online/awesome-codex-plugins · 93 tokens

airdrop-hunting-guide

Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.

nirholas/three.ws · 54 tokens

china-portfolio-monitoring

A monitoring framework for tracking the financial results, operating measures, strategic milestones, and risks of companies held by China-focused private-equity funds. It uses measures such as revenue growth, margins, debt, cash flow, and return on equity.

jwangkun/claude-for-financial-services-cn · 86 tokens

multi-expert-analyzer

A method for examining complicated questions through several expert viewpoints, followed by fact-checking and criticism.

digoal/blog · 292 tokens