O que cmc-leverage-divergence faz?
Skill do agente CoinMarketCap: estratégia de momentum confirmada por funding com backtest multi-ativo e Sharpe deflacionado. BNB Hack Track 2.
Skill do agente CoinMarketCap: estratégia de momentum confirmada por funding com backtest multi-ativo e Sharpe deflacionado. BNB Hack Track 2.
Este skill do agente CoinMarketCap implementa uma estratégia de negociação baseada em momentum, onde a confirmação é dada pelas taxas de funding dos contratos perpétuos. Ele identifica ativos com divergência entre o momentum do preço e a taxa de funding, filtrando oportunidades de alta probabilidade. O skill realiza um backtest multi-ativo utilizando o Sharpe ratio deflacionado, uma métrica que ajusta o desempenho para múltiplos testes, evitando sobreajuste. É particularmente útil para traders algorítmicos e desenvolvedores que desejam automatizar estratégias de criptomoedas com dados da CoinMarketCap, permitindo executar simulações históricas robustas e identificar sinais de entrada/saída em mercados voláteis.
npx skills add zkasuran/cmc-leverage-divergenceInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Skill do agente CoinMarketCap: estratégia de momentum confirmada por funding com backtest multi-ativo e Sharpe deflacionado. BNB Hack Track 2.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.