copilot

比特币抄底时机判断模型。通过追踪6大核心指标（RSI技术超跌、成交量萎缩、MVRV比率、社交媒体恐慌指数、矿机关机价、长期持有者行为）综合评估比特币是否进入抄底区间，输出抄底评级和建仓建议。当用户提到比特币抄底、BTC是否到底了、比特币超跌、MVRV、矿机关机价、长期持有者LTH、比特币恐慌指数、是否该买入比特币、BTC建仓时机、加密市场底部信号、比特币周期底部等话题时，务必使用此技能。即使用户只是笼统地问"现在能抄底比特币吗"或"BTC跌到位了没"，也应触发此技能来提供结构化的分析框架。

Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.

Fetch upcoming economic events and data releases using FMP API. Retrieve scheduled central bank decisions, employment reports, inflation data, GDP releases, and other market-moving economic indicators for specified date ranges (default: next 7 days). Output chronological markdown reports with impact assessment.

Detects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) with state machine for rally attempt, FTD qualification, and post-FTD health monitoring. Use when user asks about market bottom signals, follow-through days, rally attempts, re-entry timing after corrections, or whether it's safe to increase equity exposure. Complementary to market-top-detector (defensive) - this skill is offensive (bottom confirmation).

宏观流动性监控与风险预警系统。通过追踪4大核心指标（美联储净流动性、SOFR隔夜融资利率、MOVE美债波动率指数、日元套利交易信号）实时评估全球金融体系的流动性状态，输出流动性评级和风险应对建议。当用户提到流动性、美联储缩表、TGA账户、逆回购ON RRP、SOFR利率、MOVE指数、美债波动、日元套利carry trade、USDJPY与利差、缩表对市场影响、钱紧不紧、流动性拐点、金融条件收紧等话题时，务必使用此技能。即使用户只是笼统地问"现在流动性怎么样"或"美联储在抽水还是放水"，也应触发此技能来提供结构化的分析框架。

Detect structural macro regime transitions (1-2 year horizon) using cross-asset ratio analysis. Analyze RSP/SPY concentration, yield curve, credit conditions, size factor, equity-bond relationship, and sector rotation to identify regime shifts between Concentration, Broadening, Contraction, Inflationary, and Transitional states. Run when user asks about macro regime, market regime change, structural rotation, or long-term market positioning.

Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Generates a 0-100 composite score with risk zone classification. Use when user asks about market top risk, distribution days, defensive rotation, leadership breakdown, or whether to reduce equity exposure. Focuses on 2-8 week tactical timing signals for 10-20% corrections.

Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns. Analyzes weekly candle formation to detect red candle pullbacks and breakout signals. Supports two input modes - FMP earnings calendar (Mode A) or earnings-trade-analyzer JSON output (Mode B). Use when user asks about PEAD screening, post-earnings drift, earnings gap follow-through, red candle breakout patterns, or weekly earnings momentum setups.

Risk management rules learned from competition outcomes. Use when sizing positions or setting stop-losses.

科技股财报深度分析与多视角投资备忘录系统（v3.0）。覆盖A-P共16大分析模块、6大投资哲学视角、机构级证据标准、反偏见框架和可执行决策体系。当用户提到某科技公司财报分析、季报/年报解读、earnings call、收入增长分析、利润率变化、guidance指引、估值模型、DCF、反向DCF、EV/EBITDA、PEG、Rule of 40、管理层分析、竞争格局、持仓判断、是否买入/卖出/加仓某科技股、某公司最新财报怎么看、帮我做个deep dive、多角度估值、投资大师怎么看这家公司、variant view、key forces、kill conditions、筹码分布、高管团队、合作伙伴生态、宏观政策影响等话题时，务必使用此技能。即使用户只是笼统地问"帮我看看NVDA最新财报"或"META这季度表现如何"或"该不该继续持有MSFT"，也应触发此技能来提供全面的财报分析和多视角投资备忘录。此技能与us-value-investing技能互补——us-value-investing侧重长期价值四维评分，本技能侧重最新财报的深度拆解、多投资哲学的综合判断、以及可执行的持仓决策。

Detect and analyze trending market themes across sectors. Use when user asks about current market themes, trending sectors, sector rotation, thematic investing, what themes are hot or cold, or wants to identify bullish and bearish market narratives with lifecycle analysis.

美股市场情绪监控与仓位建议系统。通过追踪5大核心指标（NAAIM暴露指数、机构股票配置比例、散户净买入额、标普500远期市盈率、对冲基金杠杆率）评估市场情绪状态，输出情绪评级和仓位建议。当用户提到美股情绪、市场过热、贪婪恐慌指标、NAAIM、机构持仓、散户情绪、市盈率估值泡沫、对冲基金杠杆、是否该减仓、市场风险评估、仓位管理建议、市场顶部/底部信号等话题时，务必使用此技能。即使用户只是笼统地问"美股现在风险大不大"或"该不该减仓"，也应触发此技能来提供结构化的分析框架。

美股价值投资分析框架。通过4大核心维度（ROE持续性、负债安全性、自由现金流质量、护城河评估）对上市公司进行系统性价值评估，输出投资评级和分析理由。当用户提到某只美股是否值得长期持有、公司基本面分析、ROE分析、负债率评估、自由现金流、护城河、巴菲特选股、价值投资筛选、某公司财报怎么看、某股票估值是否合理等话题时，务必使用此技能。即使用户只是笼统地问"XX这只股票怎么样"或"帮我分析一下XX的基本面"，也应触发此技能来提供结构化的价值投资分析框架。

Screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and consistent growth (dividend/revenue/EPS trending up over 3 years). Supports two-stage screening using FINVIZ Elite API for efficient pre-filtering followed by FMP API for detailed analysis. Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals.

Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP). Identifies Stage 2 uptrend stocks forming tight bases with contracting volatility near breakout pivot points. Use when user requests VCP screening, Minervini-style setups, tight base patterns, volatility contraction breakout candidates, or Stage 2 momentum stock scanning.

Unified entry point for 44 trading analysis skills. Browse by category or run preset workflows (morning review, stock screening, earnings season, strategy synthesis).

Track and analyze A-share concept/theme sectors with hot rankings and constituent stock performance. Calls local quant-data-pipeline API. 中文输出。

A-share daily market review with limit-up analysis, sector strength, rotation signals, and anomaly detection. Calls local quant-data-pipeline API. 中文输出。

Multi-dimensional signal scanning for A-share stocks — price, volume, and flow signals with strength ranking. Calls local quant-data-pipeline API. 中文输出。

Natural language stock screening for A-shares — describe conditions in Chinese, get matching stocks. Calls local quant-data-pipeline API. 中文输出。

Daily briefing for your A-share watchlist — performance, MA alignment, K-line assessment, and risk alerts. Calls local quant-data-pipeline API. 中文输出。