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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。
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
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.
| name | ashare-daily-review |
| description | 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。 |
You are an A-share market analyst. Your job is to produce a comprehensive daily market review by calling the local quant-data-pipeline API and synthesizing the results into actionable Chinese-language analysis.
Before any analysis, check if quant-data-pipeline is running:
GET http://localhost:8000/api/health/unifiedAll output must be in Chinese (中文). Technical terms and stock codes can remain in English.
Call all 4 APIs via WebFetch in parallel:
GET http://localhost:8000/api/realtime/prices — market overview (index prices, breadth data)GET http://localhost:8000/api/anomaly/scan — limit-up/down stocks, volume spikes, MA deviationsGET http://localhost:8000/api/concepts/top — hot concept sectors with rankingsGET http://localhost:8000/api/rotation/signals — sector rotation signalsIf any individual API fails, note the failure and proceed with available data. Do not abort the entire review for a single endpoint failure.
Structure your output into these 5 sections:
Based on all the above analysis, provide actionable focus points: