Browse all 243 finance AI skills for Claude

Scans historical technical, fundamental, and alternative datasets to identify persistently predictive price patterns.

Runs cointegration and mean-reversion analysis on historical asset prices to isolate statistically significant trading pairs.

Calculates daily VaR, Expected Shortfall (ES), and parametric tail risk profiles across multi-asset portfolios.

Computes real-time options Greeks (Delta, Gamma, Vega, Theta, Rho) and extracts implied volatility surfaces from options chains.

Monitors real-time Level 2 and Level 3 order book depth to predict micro-structural directional price movements.

Ingests government bond prices to construct smooth, continuous zero-coupon yield curves and calculate term structure parameters.

Deconstructs multi-asset portfolio returns into exposures against equity, interest rate, credit, FX, and momentum risk factors.

Simulates historical execution of moving average crossover or breakout trading rules, accounting for realistic slippage.

Analyzes historical post-trade execution data against VWAP/TWAP and implementation shortfall metrics to optimize routing.

Uses Gaussian or Student-t copulas to model credit default correlations and price multi-name synthetic credit structures.

Calculates Black-Litterman or Markowitz efficient frontiers, incorporating custom views to output optimal asset weights.

Calculates normalized z-scores for asset performance across asset classes to construct top-decile systematic momentum baskets.

Measures nanosecond-level execution deltas across geographical exchange points to adapt smart order router (SOR) trajectories.

Calculates backwardation/contango curves against physical shipping, storage, and insurance cost parameters.

Models a firm's equity as a call option on its assets to solve for distance-to-default and implied default probabilities.

Employs Hidden Markov Models (HMM) to classify real-time market states into high/low volatility or trending environments.

Applies non-parallel yield curve twists and shifts to complex mortgage and sovereign bond portfolios to isolate tail impacts.

Identifies structural violations of vertical/horizontal options spreads to execute delta-neutral options arbitrage.

Simulates continuous short-straddle and short-strangle options structures, employing dynamic VIX-based hedging rules.

Employs proprietary demographic and interest rate pathing vectors to predict Conditional Prepayment Rates (CPR) on agency MBS pools.

Constructs structural risk factor models isolating customized risk exposures like Value, Size, Momentum, Quality, and Growth.

Scans high-frequency order cancellation frequencies in real time to isolate illegal spoofing or layering behaviors on the book.

Applies Generalized Pareto Distributions to historical portfolio returns to model structural financial crisis tail impacts.

Simulates sudden, discontinuous multi-notch corporate credit downgrades to measure portfolio liquidation impacts.

Isolates mispricings between out-of-the-money puts and out-of-the-money calls to execute systematic skew and smile trades.

Deconstructs execution price decay curves from the arrival moment to evaluate the performance efficiency of trading desks.

Calculate all five options Greeks (Delta, Gamma, Theta, Vega, Rho) using Black-Scholes, plus implied volatility solving and P&L attribution.

Fit market option prices to a smooth implied volatility surface using SVI/SABR, detect arbitrage violations, and export vol grids for pricing and hedging.

Run Markowitz mean-variance optimization and Black-Litterman with manager views to produce efficient frontier allocations, constrained-aware weights, and risk/return attribution.

Price bonds, compute modified duration, convexity, DV01, and Z-spread. Bootstrap yield curves using Nelson-Siegel. Run rate sensitivity scenarios for any fixed income portfolio.

Run walk-forward backtests with full P&L accounting, drawdown analytics, Sharpe/Sortino/Calmar ratios, and trade-level attribution. Identify overfitting and regime sensitivity.

Decompose portfolio returns and risk into factor exposures (Fama-French, momentum, quality, low-vol). Compute factor loadings, active bets vs. benchmark, and attribution of P&L.