Brand Strategy Framework
Audit and build a brand's identity with five academic frameworks (Brand Onion, Trust Equation and JTBD) producing a scored assessment instead of guesswork.
Forged from real client work, proof attached. Pick a piece or take the whole system.
Browse the full catalog → Browse ready-made kits → Build your own set →Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis.
A complete portfolio risk toolkit that measures tail risk, volatility, drawdown, and risk-adjusted return with the right distribution assumptions instead of naive shortcuts. It computes VaR, CVaR, Sharpe, Sortino, Calmar, max drawdown, and more, then pressure-tests them with stress scenarios and rolling windows. Built to avoid the classic traps: trusting VaR alone, assuming normal returns, and ignoring how correlations spike in a crisis.
Prices include 20% VAT. · Forged on real agency work · one-time, no lock-in
Inside the run · no black box
Market returns have fat tails, and a normal-distribution VaR will lie about them. The distribution gets tested first, then the full metric battery runs, stress tests included, and the model itself is backtested.
risk-metrics-calculation · core
core active · 6 lines
Calculating portfolio VaR and CVaR for position sizing and risk limits
Evaluating risk-adjusted return (Sharpe, Sortino, Calmar) after a backtest
Monitoring drawdown and building a capital-preservation strategy
Producing regulatory metrics like 99% VaR over a defined holding period
Stress testing against historical crises and hypothetical shock scenarios
Tracking rolling volatility, Sharpe, and beta to detect regime changes
Drag time forward. Watch what stays.
Forever
That's what owning means.
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Avoids tail-risk underestimation by pairing VaR with CVaR and fat-tail methods
license: perpetualSurfaces hidden danger that normal-distribution models miss in stress periods
license: perpetualReports honest ranges and confidence intervals instead of false precision
license: perpetualCatches regime shifts early so risk limits adjust before losses compound
license: perpetualsubscriptions expire · deeds don't
Pick a piece up. Watch it work.
Core RiskMetrics class: volatility, VaR (historical/parametric/Cornish-Fisher), CVaR, drawdown
6 parts · one working system · ships instantly by email
Quant developers and portfolio teams who need rigorous, multi-metric risk measurement that respects fat tails, regimes, and regulatory reporting.
then this was forged for you.Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
The core RiskMetrics class operates on return series, so any asset you can express as returns fits: crypto, multi-asset portfolios, strategy backtests. The portfolio layer adds marginal contribution, risk parity, and stress correlation on top.
The distribution discipline. VaR is never left alone: it is paired with CVaR and Cornish-Fisher adjustments for fat tails, regime shifts are tracked through rolling windows, and the validation checklist covers VaR backtesting. Correlation spikes during crises are modeled explicitly rather than assumed normal.
No. It measures risk on positions you already hold or have backtested, there are no alpha signals or forecasts. Outputs are honest ranges and confidence intervals, deliberately not trade recommendations.
By email right after purchase: ready to run, downloaded instantly, no setup wait.
A one-time purchase; no subscription or hidden fees. VAT (20%) is included.
As a digital product, it can’t be refunded once downloaded. That’s why we show exactly what’s inside and who it’s for, right here.