🧪 Skills

Plusefin Analysis

--- name: plusefin-analysis description: AI-ready stock analysis with financial data, options, sentiment, and structured research framework metadata: clawdbot: emoji: "📈" homepage: "https

v1.0.9
❤️ 2
⬇️ 268
👁 2
Share

Description


name: plusefin-analysis description: AI-ready stock analysis with financial data, options, sentiment, and structured research framework metadata: clawdbot: emoji: "📈" homepage: "https://github.com/plusefin/plusefin-skill" requires: env: ["PLUSEFIN_API_KEY"] primaryEnv: "PLUSEFIN_API_KEY"

PlusE Financial Analysis

AI-ready financial data research skill with structured research methodology.

Setup

export PLUSEFIN_API_KEY=your_api_key

Research Framework

1. Research Setup

  • Define target (ticker) and time range (6mo / 1y / 2y)
  • Set research objective: valuation analysis / technical outlook / event-driven

2. Data Collection

  • Company Fundamentals: ticker - overview, valuation, ratings
  • Market Sentiment: sentiment / sentiment-history
  • Options Data: options / options-analyze (IV, Greeks, OI)
  • Institutional Holdings: holders - major holders changes
  • Financial Statements: statements (income/balance/cash)
  • Earnings & Insider: earnings / insiders
  • Price History: price-history

3. Hypothesis Formation

Based on data, formulate hypotheses:

  • Direction: Bullish / Bearish / Neutral
  • Drivers: Valuation reversion, earnings growth, event catalyst, sentiment reversal

4. Evidence Validation

  • Use search capabilities to gather research reports, news, announcements
  • Cross-validate multi-source data timeline consistency
  • Seek evidence supporting or refuting hypotheses

5. Valuation Scenarios

  • Bull Case: Valuation assuming upside catalysts materialize
  • Base Case: Valuation based on current market expectations
  • Bear Case: Valuation assuming downside risks materialize

6. Risk Assessment

  • Downside risks
  • Key assumption risks
  • Potential catalysts and triggers

7. Report Output

Structured output:

  • Core thesis
  • Evidence summary
  • Valuation scenario comparison
  • Risk warnings
  • Actionable recommendations (if applicable)

Each key conclusion must include source citations.

Usage

# Set API key
export PLUSEFIN_API_KEY=your_api_key

# Run commands
python plusefin.py <command> [args]

Commands

Command Usage Description
ticker python plusefin.py ticker <symbol> Company overview, valuation, ratings
price-history python plusefin.py price-history <ticker> [period] Historical prices (6mo/1y/2y)
sentiment python plusefin.py sentiment Market sentiment (Fear & Greed)
sentiment-history python plusefin.py sentiment-history [days] Historical sentiment
options python plusefin.py options <symbol> [num] Options chain
options-analyze python plusefin.py options-analyze <symbol> Options analysis
holders python plusefin.py holders <symbol> Institutional holdings
statements python plusefin.py statements <symbol> [type] Financial statements (income/balance/cash)
earnings python plusefin.py earnings <symbol> Earnings history
insiders python plusefin.py insiders <symbol> Insider trading
news python plusefin.py news <symbol> Stock news
fred python plusefin.py fred <series_id> Macroeconomic data

Reviews (0)

Sign in to write a review.

No reviews yet. Be the first to review!

Comments (0)

Sign in to join the discussion.

No comments yet. Be the first to share your thoughts!

Compatible Platforms

Pricing

Free

Related Configs