Skill UI

Assess and manage investment risk using the neural-trader risk engine. This tool calculates critical metrics such as Value at Risk (VaR), Conditional VaR (CVaR), and Sharpe ratio for both single positions and entire portfolios. It also optimizes position sizing using methods like Kelly criterion and checks for market circuit breaker triggers (e.g., high correlation spikes or volatility regime shifts) to ensure robust trading decisions and minimize exposure.

A comprehensive guide for authors submitting visualization research to the EuroVis conference. It provides expert advice on conference positioning, emphasizing specialist novelty and clear analytic value. The skill covers required evidence standards, contribution framing, and differentiating the work from other top venues like IEEE VIS, helping authors optimize their submission strategy.

This guide helps researchers precisely define the marginal contribution (the 'delta') of their academic work. Instead of writing a general literature tour, it instructs authors to compare their findings directly against 3-5 most proximate prior papers, emphasizing specific advancements in identification or measurement. It is crucial for submissions to high-stakes journals.

This skill guides authors on strategically positioning data mining research for the SIAM International Conference on Data Mining (SDM). It helps adjust manuscript framing, emphasizing mathematical rigor, statistical depth, and algorithmic contribution suitable for top Computer Science venues. Use it for venue selection, understanding reviewer expectations, and structuring evidence to meet the high standards of SIAM-style research.