Dados e Análise

Choose how and where to store football data. Use when the user asks about database choices, file formats, cloud storage, data pipelines, or how to organise their football data project. Also covers publishing and sharing outputs (Streamlit, Observable, GitHub Pages).

Football data analytics — the single entry point. Use whenever the user mentions football data, xG, expected goals, match analysis, player stats, scouting, match reports, shot maps, passing networks, Premier League data, Champions League stats, scraping FBref/Understat/Transfermarkt, building football charts, or anything football analytics related. Routes to specialised sub-skills automatically. A

Analyze options chains, implied volatility, Greeks, and strategy payoffs using EODHD Marketplace options data. Use when the user asks about options, implied volatility, Greeks, or options strategies.

Analyze portfolio risk — technical indicators, sentiment shifts, insider alerts, ESG scores, and volatility metrics. Use when the user asks about portfolio risk, wants to assess holdings, or needs risk/reward analysis.

Learn about football analytics concepts and explore provider documentation. Use when the user asks what a metric means (xG, PPDA, expected threat, xT), wants learning resources, papers, or courses, is new to football analytics, or wants a learning path. Also use when the user asks about data provider documentation — qualifier IDs, coordinate systems, event types, API schemas, field mappings, ident

Macro-economic dashboard — GDP, CPI, unemployment, interest rates, Treasury yields, trade balance, and economic events calendar. Use when the user asks about the economy, macro trends, interest rates, or economic indicators.

Um guia prático para o primeiro dia de desenvolvimento de aplicações Rust, abordando modelos mentais, decisões chave, idiomatismos, anti-padrões e crates essenciais. Ideal para iniciar novos projetos em Rust.

Monitor upcoming and recent earnings — calendar, trends, news context, and options activity around earnings dates. Use when the user asks about earnings season, upcoming reports, earnings surprises, or pre/post-earnings analysis.

Brainstorm football data visualisations and chart designs. Use when the user wants ideas for how to visualise football data, needs inspiration for chart types, wants to explore design approaches for match reports, player profiles, team dashboards, or any football analytics graphic. Searches the web for popular approaches and real-world examples before proposing options.

Transform, filter, reshape, join, and manipulate football data. Use when the user needs to clean data, merge datasets, convert between formats, handle missing values, work with large datasets, or do any data manipulation task on football data.

Calculate derived football metrics and models. Use when the user wants to compute xG, xGOT, PPDA, passing networks, expected threat, possession value, pressing intensity, or any derived football statistic from raw data.

Screen stocks by fundamental and technical criteria using EODHD screener — filter by market cap, P/E, dividend yield, sector, signals, and more. Use when the user wants to find stocks matching specific criteria.