Skill UI

This tool detects profitable arbitrage opportunities across centralized exchanges (CEX), decentralized exchanges (DEX), and cross-chain markets in real-time. It aggregates price data, calculates net profit after fees, and identifies various arbitrage paths, including direct, triangular, and cross-chain opportunities. It is designed for quantitative traders needing to monitor market efficiency and exploit price discrepancies.

A read-only tool designed to compare prediction-market baskets or themes against the user's existing knowledge base, portfolio notes, research memos, or financial context. It performs gap analysis, flagging potential conflicts, stale assumptions, and areas of missing research. This skill provides structured insights into fit and exposure without offering any investment or trading advice.

This guide helps authors determine if their research, particularly in market microstructure, liquidity, or high-frequency trading, is suitable for the Journal of Financial Markets (JFM). It provides detailed heuristics on topic fit, required evidence, structural guidelines, and common rejection triggers, ensuring submissions are optimally framed for specialist financial economics venues.

This skill provides a comprehensive guide for authors targeting the Journal of Marketing Research (JMR). It analyzes the journal's demanding standards for methodological rigor, covering quantitative modeling, behavioral experiments, and design validity. Use this tool to assess if your manuscript's contribution, structure, and evidence base meet JMR's high academic bar, or to suggest more appropriate alternative venues.

This skill helps authors assess the suitability of their quantitative marketing, econometrics, or industrial organization (IO) paper for the Marketing Science journal. It outlines the journal's high standards, focusing on rigorous formal contributions, credible identification, and appropriate structural framing. Use this tool for pre-submission self-checking, understanding the required methodology bar, and deciding on the best academic venue.

This guide outlines the rigorous process for estimating, validating, and interpreting structural models in Marketing Science manuscripts. It covers advanced econometric techniques (GMM, MLE, Bayesian), demonstrating empirical identification, assessing model fit (in-sample/out-of-sample), and computing robust counterfactuals. It ensures the final results are statistically sound, economically plausible, and prepared for replication.

A comprehensive guide for structuring and generating core exhibits—including estimates, model-fit, comparative statics, and counterfactuals—for academic manuscripts in Marketing Science. Designed to adhere to rigorous academic house styles (e.g., INFORMS), ensuring model mechanisms and policy implications are clearly and rigorously presented to quantitative reviewers.

This tool guides authors writing on industrial organization, market structure, regulation, and antitrust. It provides a rigorous framework for evaluating whether a manuscript meets the high standards of top-tier IO journals by assessing theoretical models, empirical identification, and policy significance. Use it for venue selection and manuscript re-framing.

A specialized guide for researchers assessing manuscript suitability for securities and capital market journals. It analyzes the journal's positioning, preferred topics (e.g., market regulation, corporate governance, asset pricing), required methodologies (e.g., DID, event studies), and common submission pitfalls. Use this skill to structure your paper and improve its fit before formal submission.