block-deal-monitor

Name: block-deal-monitor
Availability: InStock
Author: yuping322

Analyze A-share block trades to identify accumulation, distribution, and liquidity risks.

20|Updated Feb 14, 2026

Search Tags:#liquidity #data-queries #a-share #market-risk #risk-monitoring #block-trades #discount-premium

Ready to run

npx skills add https://github.com/yuping322/finskills --skill block-deal-monitor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: block-deal-monitor
Source: https://github.com/yuping322/finskills/tree/main/China-market/block-deal-monitor
Command: npx skills add https://github.com/yuping322/finskills --skill block-deal-monitor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill converts the opaque large-block trades data into actionable risk assessment and monitoring outputs for the A-share market, translating price moves, volume, and counterparty information into a structured view of supply shocks, liquidity costs, and follow-up checks for risk management.

Core Features & Use Cases

Data-driven workflow to fetch and organize block trade data from optional data sources and the repository's findata toolkit when available.
Analytical framework to compute key indicators including discount/premium rate, turnover share, trading continuity, and cumulative volume, plus cross-validation with liquidity and flow signals.
Use Case: Monitor for institutional accumulation or distribution and generate a risk-tracking checklist and alert signals for portfolio managers.

Quick Start

Ask Kiro to analyze recent A-share block trades within a date range and generate a monitoring dashboard.

Frequently Asked Questions about block-deal-monitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I monitor A-share block trades for institutional accumulation and distribution risks?▼

You can monitor A-share block trades for institutional accumulation and distribution risks by applying a data-driven workflow that retrieves trade data, cross-validates liquidity signals, and outputs a structured risk-tracking checklist with alert signals.

What does block trade discount-premium rate and turnover share indicate about market risk?▼

Block trade discount-premium rate and turnover share indicate market risk by quantifying supply shocks and liquidity costs, translating opaque large-block trades into actionable signals for institutional accumulation or distribution pressure.

How do I analyze block trade continuity and cumulative volume for a specific stock?▼

To analyze block trade continuity and cumulative volume for a specific stock, apply the Skill's analytical framework to fetch stock-specific block trade data within a date range and compute the standardized risk indicators.

Can I use the findata toolkit to fetch full-market block trade data for liquidity risk monitoring?▼

Yes, you can use the findata toolkit to fetch full-market block trade data for liquidity risk monitoring, organizing the opaque trade information into a structured view of supply shocks and follow-up checks.

What is the best way to generate a block trade risk monitoring dashboard for portfolio management?▼

The best way to generate a block trade risk monitoring dashboard for portfolio management is to analyze recent A-share block trades within a date range to calculate discount/premium rate, turnover share, and cumulative volume, formatting results into a standardized report.

Why does block trade analysis require cross-validation with liquidity and flow signals?▼

Block trade analysis requires cross-validation with liquidity and flow signals because large-block trades create supply shocks that must be contextualized against overall market liquidity to accurately assess institutional distribution and accumulation risks.