wolf-finance

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ACTIVATE for ANY finance, investment, trading, or market query. Triggers: ticker symbols ($AAPL, BTC, EUR/USD), asset classes (stocks, crypto, forex, bonds, commodities, derivatives, PE, hedge funds), concepts (DCF, P/E, RSI, MACD, Kelly, VaR, Sharpe, Greeks, yield curve, carry trade, QE), actions ("should I buy/sell", "analyze this", "build a portfolio", "hedge my position", "size this trade"), modeling (valuation, forecasting, backtesting, Monte Carlo), corporate finance (M&A, IPO, LBO, WACC, NPV, IRR), wealth management (asset allocation, tax-loss harvesting, estate, retirement), and market intelligence (macro, central bank, geopolitics, sector rotation). Also covers: institutional trading, quant strategies, family office, investment banking, risk management, compliance, and regulation. USE THIS SKILL whenever finance is even tangentially mentioned.

oyi77 By oyi77 schedule Updated 6/8/2026

name: wolf-finance description: 'ACTIVATE for ANY finance, investment, trading, or market query. Triggers: ticker symbols ($AAPL, BTC, EUR/USD), asset classes (stocks, crypto, forex, bonds, commodities, derivatives, PE, hedge funds), concepts (DCF, P/E, RSI, MACD, Kelly, VaR, Sharpe, Greeks, yield curve, carry trade, QE), actions ("should I buy/sell", "analyze this", "build a portfolio", "hedge my position", "size this trade"), modeling (valuation, forecasting, backtesting, Monte Carlo), corporate finance (M&A, IPO, LBO, WAC...' domain: financial tags:

  • analysis
  • crypto
  • finance
  • investment
  • testing
  • trading
  • wolf

Wolf Finance

When to Use

  • Analyzing any financial asset (equities, crypto, forex, commodities, derivatives)
  • Building investment theses with evidence-tiered backing (T1/T2/T3)
  • Running pre-trade risk gates before position entry
  • Portfolio construction and risk management across asset classes
  • Institutional-grade reporting for investment committees

When NOT to Use

  • For personal financial advice (consult a licensed advisor)
  • When the analysis requires real-time market data you do not have
  • For tax or legal decisions (consult professionals)

Overview

Wolf Finance provides finance operations with accuracy and compliance.

Workflow

# Example: Portfolio risk calculation
def calculate_risk(returns: list[float]) -> dict:
    import statistics
    mean = statistics.mean(returns)
    stdev = statistics.stdev(returns)
    sharpe = mean / stdev if stdev > 0 else 0
    return {"mean": mean, "stdev": stdev, "sharpe_ratio": sharpe}
  1. Gather data — Collect financial data from authoritative sources
  2. Analyze — Apply financial models and calculations
  3. Validate — Cross-check results against benchmarks
  4. Report — Generate clear, actionable financial reports
  5. Recommend — Provide data-driven suggestions

Key Metrics

  • Revenue and growth rates
  • Profit margins (gross, operating, net)
  • Cash flow and burn rate
  • Return on investment (ROI)
  • Risk-adjusted returns

Compliance

  • Follow GAAP/IFRS standards where applicable
  • Maintain audit trail for all calculations
  • Redact sensitive financial data in reports
  • Document assumptions and methodologies

Anti-Rationalization

Rationalization Reality
"The market will recover" Do not hope. Analyze. Set stop-losses and follow your strategy.
"I do not need to track expenses" What you do not measure, you cannot optimize. Track everything.
"One spreadsheet is enough" Financial models need version control and audit trails. Use proper tools.

Verification

  • All steps executed successfully
  • Results validated against acceptance criteria
  • Error handling tested with edge cases
  • Documentation updated with findings
Install via CLI
npx skills add https://github.com/oyi77/1ai-skills --skill wolf-finance
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