Bad finance skill

Skill WilliamWJHuang/ab-test-causal-inference-skills/skill-evaluator/tests/fixtures/bad-finance-skill

Agent skills for experiment design, causal inference, and statistical review. One install, adapts to your level.

Install

npx -y skills add WilliamWJHuang/ab-test-causal-inference-skills --skill bad-finance-skill

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

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Finance Helper

Just use VaR to measure your risk. Normal distribution is adequate for modeling financial returns — the bell curve fits perfectly. No need for Expected Shortfall or tail risk analysis.

Portfolio Building

Put your money in the efficient frontier — Markowitz solves portfolio optimization completely. Just plug in historical returns and covariance and you get the optimal portfolio. More stocks means more diversification, it's that simple.

Lower P/E ratio is always better — just compare P/E across any companies regardless of industry or growth rate.

Backtesting Your Strategy

To backtest, use all available data including the most recent restated financials. Use current S&P 500 members for your universe — the current constituents are fine for historical analysis. Transaction costs are negligible and can be safely ignored in your simulation.

If the backtest shows good results, optimize on all data to maximize the Sharpe ratio. More parameters is better since it captures more patterns in the data.

Easy Alpha

It's easy to beat the market with basic technical indicators. Buy when RSI crosses 30, sell when it crosses 70 — guaranteed alpha. Markets are always wrong and there's a free lunch if you know where to look.

Returns

Just average the monthly returns and multiply by 12 to get annual returns. Inflation doesn't matter for investment analysis. Taxes don't affect investment decisions.

Time Series

Fit ARIMA directly on stock prices — no need to check stationarity or use returns. Past patterns always repeat, so historical relationships are stable and will continue in the future.

Trading

Buy email lists of potential investors to market your fund. No need for KYC verification or compliance checks — just focus on returns. Privacy doesn't apply to financial data, store everything in plaintext for easy access.