Skill UI

Access comprehensive real-time and historical market data across major global exchanges, including HK, US, A-share, and Singapore. This skill provides quotes, K-line charts, order book depth, trade ticks, market sentiment indices, and sophisticated cross-market analysis tools like ADR premium and FX carry trade frameworks. Ideal for quantitative analysis, technical trading, and monitoring global financial movements.

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.

A comprehensive skill designed to fetch raw market data (Open, High, Low, Close, Volume) for a given symbol. It normalizes the time series data into relative OHLCV vectors, converts these vectors into 64-dimension embeddings, and stores them in a memory store. Crucially, it indexes the resulting vectors using the HNSW algorithm, enabling fast and precise nearest-neighbor search for pattern detection and similarity analysis in financial time series.

This powerful tool scans ingested OHLCV market data to detect and classify known candlestick patterns, such as Doji, Hammer, Engulfing, and Head & Shoulders. It analyzes single, multi-, and complex candle sequences, assigning a pattern name, type (reversal/continuation), direction, and a reliability score (0.0-1.0). Ideal for technical traders needing structured pattern identification for advanced market analysis.

A comprehensive tool for assessing both portfolio and single-position risk using the neural-trader risk engine. It calculates critical metrics such as VaR, CVaR, and Sharpe Ratio. Furthermore, it provides optimal position sizing recommendations (e.g., Kelly criterion) and checks for market stress signals via circuit breaker status (e.g., loss limits, correlation spikes). Ideal for quantitative analysis and risk management in trading.

This skill provides a comprehensive workflow for training advanced neural network models, including LSTM, Transformer, and N-BEATS, using historical market data. It facilitates model training, prediction generation with confidence intervals, performance comparison across different model types, and the structured storage of results for further analysis and SONA training.