What is stockbee-momentum-burst-screener?

A stock screener for Stockbee-style Momentum Burst setups, where a strong short-term price and volume expansion breaks beyond a prior trading range. It checks breakout size, range history, volume, closing position, failure signals, and risk distance.

Use it to find 4% or dollar breakouts, range-expansion candidates, and three-to-five-day swing setups from supplied or downloaded price data, with setup-quality and risk checks.

It reduces a broad US-stock universe to candidates that match a defined short-term momentum pattern. The output supports manual review and does not execute trades.

stockbee-momentum-burst-screener — Skill by tradermonty

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 stockbee-momentum-burst-screener

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/stockbee-momentum-burst-screener/github.svg)](https://agentmods.dev/skills/tradermonty/claude-trading-skills/stockbee-momentum-burst-screener)

Your own site

<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/stockbee-momentum-burst-screener"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/stockbee-momentum-burst-screener/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/stockbee-momentum-burst-screener"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/stockbee-momentum-burst-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,114 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 27 Oct 2026
Snyk pass 27 Oct 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	$0.00097	$0.01114
Opus 5.5	$0.00039	$0.00446
Sonnet 5.5	$0.00019	$0.00223
Haiku 4.5	$0.00010	$0.00111

Measured yesterday against content hash d93213f0ff59, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

stockbee-momentum-burst-screener 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 yesterday.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/fmp_client.py, scripts/screen_momentum_burst.py, scripts/tests/test_screen_momentum_burst_coverage.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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

stockbee-momentum-burst-screener — 100% identical, 10 lines differ

skills/stockbee-momentum-burst-screener/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stockbee Momentum Burst Screener

Screen US equities for Stockbee-style short-term Momentum Burst candidates. The skill is a candidate-generation and setup-quality workflow, not a signal service or an auto-execution system.

When to Use

User asks for Stockbee / Pradeep Bonde style Momentum Burst screening
User wants 4% breakout, dollar breakout, or range expansion candidates
User asks for short-term 3-5 day swing momentum setups
User wants to review whether a daily breakout has A/B/C setup quality
User provides a symbol list, universe file, or historical OHLCV JSON for screening
User wants candidate outputs to feed into technical-analyst, position-sizer, or trader-memory-core

Prerequisites

FMP API key for live universe and historical OHLCV screening:
```
export FMP_API_KEY=your_api_key_here
```
Optional no-API path: provide --prices-json containing daily OHLCV bars by symbol.
Run only after the market-regime workflow allows new swing risk, or mark output as manual-review-only.

Workflow

Step 1: Choose Input Mode

Use one of three modes:

Mode A: FMP universe scan

python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
  --fmp-universe \
  --max-symbols 300 \
  --output-dir reports/

Mode B: Explicit symbols

python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
  --symbols NVDA SMCI PLTR TSLA \
  --output-dir reports/

Mode C: Offline OHLCV JSON

python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
  --prices-json data/daily_ohlcv.json \
  --output-dir reports/

Step 2: Run the Screening Pass

The script detects these trigger families:

4% Breakout: close / previous_close >= 1.04, volume above previous day, and volume above the liquidity floor
Dollar Breakout: close - open >= 0.90, volume above the liquidity floor
Range Expansion: current daily range exceeds the prior three daily ranges while the prior day was not already extended

Read the full file on GitHub · 114 lines

Files

What ships with it

8 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.

yesterday Changed · +10 lines d93213f0ff59
1mo ago First seen · 104 lines · 97 tokens per session scan A cfa25c366847

Subscribe to this mod's changes

stockbee-momentum-burst-screener is a skill published in the GitHub repository tradermonty/claude-trading-skills (3,373 stars, last pushed yesterday), licensed MIT. It adds 97 tokens to every session and 1,114 once invoked, about $0.0004 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 2026-09-03.

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