stockbee-momentum-burst-screener

Q: How do I install stockbee-momentum-burst-screener?

Run npx skills add https://github.com/tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/stockbee-momentum-burst-screener/ (personal) or .claude/skills/stockbee-momentum-burst-screener/ (project).

by tradermontyCode Quality & Workflow

Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, momentum burst, 4% breakout, range expansion, dollar breakout, short-term swing momentum candidates, or 3-5 day burst setup review.

Installs: 2.7K
Last 24h: +21
Trending rank: #5642
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads stockbee-momentum-burst-screener automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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

It then scores setup quality using:

Trigger strength
Volume expansion
Prior base / range contraction quality
Close location near the high of day
Risk distance to the trigger-day low
Failure filters such as prior 3-day run-up or recent 4% breakdown
Market gate alignment

Step 3: Review Output

Read the generated JSON and Markdown reports. For each candidate, present:

Trigger type and all matched trigger tags
Day gain, dollar gain, volume ratio, and close-location percentage
Prior base length and base width
Entry reference, stop reference, and risk percentage to stop
Setup score, rating, state, and reject reasons
Suggested downstream action

Step 4: Send Survivors to Trade Planning

Use the output conservatively:

A / A- candidates: send to technical-analyst for manual chart validation, then position-sizer
B candidates: watchlist or smaller-risk review only
Watch-only candidates: keep in model book; do not plan a trade unless chart review upgrades the setup
Rejected candidates: retain for post-analysis, not for execution

Output

stockbee_momentum_burst_YYYY-MM-DD_HHMMSS.json - Structured candidate list, metadata, thresholds, score components, and rejects
stockbee_momentum_burst_YYYY-MM-DD_HHMMSS.md - Human-readable report grouped by rating/state

Resources

references/momentum_burst_methodology.md - Stockbee-style method summary and implementation boundaries
references/scoring_system.md - Component weights, state thresholds, and failure filters
references/entry_exit_rules.md - Entry reference, stop, sizing handoff, and exit template

Shared FMP client

Live FMP access uses the bundled generated scripts/fmp_client.py, loaded only when an FMP run starts, so offline modes still work without requests. CLI key/environment precedence, the API-call budget and successful output shapes are preserved. Requests use stable endpoints only; a denied, empty or failed stable request does not fall back to retired v3 URLs. The shared client masks raw and URL-encoded key echoes, retries malformed JSON once, and retries a 429 at most once, after a 60-second wait, before stopping on a repeated rate limit.

FAQ

What does the stockbee-momentum-burst-screener skill do?

How do I install stockbee-momentum-burst-screener?

Run npx skills add https://github.com/tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/stockbee-momentum-burst-screener/ (personal) or .claude/skills/stockbee-momentum-burst-screener/ (project).

Which AI agents can use stockbee-momentum-burst-screener?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is stockbee-momentum-burst-screener safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains stockbee-momentum-burst-screener?

It is published by tradermonty in tradermonty/claude-trading-skills. It has 2,739 recorded installs.