risk-metrics-calculation
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or…
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Updated 10-19 00:11
16,549 results
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or…
Data engineering for batch and streaming pipelines with Airflow, dbt, Spark, and Kafka. Use when designing data architectures, building pipelines, adding…
Generate working code that routes HTTP requests through Bright Data proxy networks (Datacenter, ISP, Residential, Mobile) and help users decide which network…
Multi-place and multi-server games - universes and places, TeleportAsync with TeleportOptions (reserved/specific servers, teleport data), retrying failed…
Generate JSON-LD structured data for SEO. Use when: adding schema markup to pages; creating organization schema; generating product schema; validating existing…
Binary streaming between workers via channels. Use when building data pipelines, file transfers, streaming responses, or any pattern requiring binary data…
Retrieve and analyze Amazon product reviews by ASIN, supporting 15 marketplaces (including the US site), and filter reviews by star rating. When users mention Amazon reviews, US site reviews, product evaluations, buyer complaints, negative reviews, positive reviews, star ratings, review analysis, review sentiment, product improvement suggestions, Vine reviews, verified purchase reviews, competitor review research, Amazon reviews, US reviews, Amazon.com…
RQAlpha Ricequant open-source event-driven backtesting framework. Supports A-shares and futures, modular architecture, freely extensible; use when users need to quickly backtest A-share/futures strategies, use built-in data (download-bundle), develop Mod plugins, or mention rqalpha, Ricequant. Compared with backtrader, rqalpha…
360-degree view of an account - CRM data, recent email threads, docs, transcripts, and internal chat chatter, synthesized into one brief. Use when the user…
Query BingX perpetual swap account data including balance, positions, commission rates, and fund flow history. Use when the user asks about BingX account…
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Extract structured data from Axure prototypes using Playwright — screenshots, design tokens, interaction maps, annotations, and page text. Use this skill…
Processes data records from a source file
PostgreSQL optimization including indexes, query plans, partitioning, JSONB operations, and connection pooling
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Process this skill enables AI assistant to forecast future values based on historical time series data. it analyzes time-dependent data to identify trends,…
Teaches the data provider pattern using renderless components and scoped slots. Use when you need to abstract data fetching or state management logic and…
Expert-level Looker BI, LookML, explores, dimensions, measures, dashboards, and data modeling. Use when the user mentions LookML, BI, analytics, dashboards, or…
Expert-level MongoDB database design, aggregation pipelines, indexing, replication, and production operations. Use when the user mentions NoSQL, database,…
Every Allrecipes recipe in your terminal — cached as data, with pantry-aware search, Bayesian-smoothed ranking, and one-line grocery lists. Trigger phrases:…
Investigates a session recording by gathering metadata, person profile, same-session events, and linked error tracking issues in one pass. Use when a user…
A Tushare data research skill for Chinese natural language. Used to turn requests like "see how this stock has been doing lately," "help me check financial report trends," "which sector has been strongest recently," "what is northbound capital buying," and "export a market data set for me" into executable data acquisition, cleaning, comparison, screening, export, and brief analysis workflows. Suitable for A...
Use when needing to optimize Xiaohongshu content performance, understanding why posts succeed or fail, making data-driven decisions about content strategy, or…
Explain a hot stock's business, catalysts, market expectations, capital focus points, and main risks in a very short time. It is suitable for scenarios such as seeing a hot stock but not being familiar with it, doing last-minute catch-up, and quickly building a basic understanding that can be discussed.