banking-expert
Expert-level banking systems, core banking, regulations, and banking technology
Expert-level banking systems, core banking, regulations, and banking technology
Portfolio building, technical interviews, job search strategies, and continuous learning
Complete curation and streaming economics including playlists, radio, mixed content, revenue calculations, and the two-economy system (creation vs curation)
Analyzes long strangle volatility plays with OTM call and put at different strikes. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting very large price movement, want lower-cost alternative to straddle, analyzing high-volatility events, or evaluating wide-range breakout opportunities on stocks with elevated IV.
Market sizing, epidemiology, and commercial opportunity assessment for drug development. Use for market forecasts, opportunity evaluation, and investment decisions. Keywords: market, epidemiology, prevalence, forecast, sizing, opportunity
Compare bond performance against market benchmarks and indices. Analyzes yield spreads, duration matching, and relative value. Requires numpy>=1.24.0, pandas>=2.0.0. Use when evaluating bonds against peers, measuring portfolio attribution, or identifying value opportunities in fixed income markets.
Analyzes long call butterfly spreads with 3 strikes and 4 legs for neutral outlook. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting minimal price movement, want low-cost defined-risk strategy, analyzing pinning opportunities, or evaluating tight-range neutral positions on stocks near technical levels.
Optimal execution, control theory, queueing/order-book, exchange microstructure.
Probability, moments/tails, Bayes, and statistical learning foundations for systematic trading.
Detect arbitrage opportunities between Polymarket and Kalshi using forecast analysis. Use when finding price discrepancies across platforms. Trigger with 'find arbitrage' or 'compare market prices'.
Multi-source validation framework for technology decisions, best practices verification, and evidence-based implementation
Cào dữ liệu thị trường từ các website Việt Nam (giá vàng, xăng, tỷ giá)
Comprehensive industry research skill providing methodologies, frameworks, and best practices for analyzing industry trends, key companies, market dynamics, and industry-specific developments across consumer, tech, healthcare, and finance sectors
This skill should be used when the user asks to "evaluate if TBC covers a use case", "decide which TBC component to use", "check if a TBC template fits", "research TBC capabilities", "find the right TBC template", "analyze if custom step is needed", "compare TBC templates", or needs to determine whether To-Be-Continuous framework components can solve a CI/CD requirement before generating configuration.
Institutional-grade strategy validation, walk-forward analysis, and regime-aware testing.
使用自定义动能理论分析 BTC 市场,多时间级别嵌套分析(2日线/1日/12h/6h/4h/2h/1h/30min),识别上涨线段、下跌线段、分立调控、单位调整周期、连续跳空背离、黄白线背离,生成包含详细属性判断的动能报告和交易信号。当用户询问 BTC 动能、线段状态、MACD 分析、周期判断、背离检测时自动激活。
This skill should be used when implementing risk management and trading controls for Zipline strategies. It provides patterns for drawdown limits, position limits, exposure controls, stop-losses, and circuit breakers.
Analyze market risk with VaR, volatility, and position sizing using forecast data. Use when assessing investment risk. Trigger with 'analyze market risk' or 'calculate VaR'.
Analyzes bull-call-spread debit spreads for bullish directional plays with defined risk. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting moderate price increase, comparing vertical spread configurations, analyzing debit spread opportunities, calculating Greeks for multi-leg positions, or evaluating defined-risk bullish strategies on liquid optionable securities.
Analyzes portfolio risk including VaR, volatility, drawdown, concentration, correlation, and provides risk management recommendations
Analyzes and implements married-put options strategies for portfolio protection. Calculates breakeven points, profit/loss scenarios, and compares strike prices (ITM, ATM, OTM) across multiple expiration cycles. Use when protecting stock positions, analyzing downside insurance costs, or evaluating protective put options for small to mid-cap holdings.
Analyze and forecast Polymarket contracts using TimeGPT with confidence intervals. Use when predicting contract prices. Trigger with 'Polymarket analysis' or 'forecast prediction market'.
Analyze multi-contract correlations for forecast-based hedge recommendations. Use when managing correlated assets. Trigger with 'analyze correlations' or 'suggest hedge'.