Backtest Expert
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating…
Finance & Trading
tradermonty3.6k
Analyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or theme/story events. Scores catalyst quality together with gap/range expansion, volume shock, neglect/revaluation context, liquidity, and risk to the EP-day low. Use when the user asks for EP candidates, episodic pivots, Day 1 catalyst trades, game-changing news reactions, delayed EP watchlists, or handoffs into PEAD monitoring.
Install
Research and analysis tools, not financial advice. Some workflows use optional FMP, FINVIZ Elite or Alpaca accounts; the repo's five-skill starter path needs no API key. Open the repository
Run this in your project folder. It works with Claude Code, Cursor, Codex and dozens of other agents.
$ npx skills add tradermonty/claude-trading-skills --skill stockbee-episodic-pivot-analyzerNeeds Node.js. Add -g to install for every project, or -a claude-code to skip the agent picker.
How to use Stockbee Episodic Pivot Analyzer
Once it's installed, Claude reads this skill on its own whenever a request matches what it's for, so you don't have to mention it by name. In Claude Code you can also run it directly by typing /stockbee-episodic-pivot-analyzer.
It includes scripts that Claude may run on your computer, so skim them on GitHub before you install.
What the instructions cover
- 1When to Use
- 2Prerequisites
- 3Workflow
- 4Output
- 5Resources
- 6Shared FMP client
Section headings from the skill's SKILL.md file.
What's inside · 9 files
- SKILL.md
- references/catalyst_quality.md
- references/ep_methodology.md
- references/handoff_rules.md
- requirements.txt
- scripts/analyze_ep.py
- scripts/fmp_client.py
- scripts/tests/test_analyze_ep.py
- scripts/tests/test_analyze_ep_coverage.py
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