skills.rest
Thanhtran-165
Thanhtran-165COMMUNITY
Explore all skills by this author →
GitHub

vn-rates-weekly

Generate weekly financial market reports from SBV, VBMA, VNBA, HNX, and FRED data.

4|6|Updated Jul 5, 2026
Search Tags:#market analysis#data analysis#financial reporting#financial indicators#rolling data
One-click install
npx skills add https://github.com/Thanhtran-165/baocaolaisuatvatiente --skill vn-rates-weekly
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vn-rates-weekly
Source: https://github.com/Thanhtran-165/baocaolaisuatvatiente/tree/main
Command: npx skills add https://github.com/Thanhtran-165/baocaolaisuatvatiente --skill vn-rates-weekly

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, node, pandas, matplotlib, poppler-utils, playwright, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the generation of weekly financial market reports, providing rolling data and in-depth analysis for key indicators and trends.

Core Features & Use Cases

  • Automated Report Generation: Generates comprehensive weekly reports on market rates, currencies, and other financial indicators.
  • Rolling Data: Utilizes a rolling 4-week window for data analysis, ensuring up-to-date insights.
  • In-Depth Analysis: Provides detailed analysis of market trends, including yield curves, auction results, and global economic indicators.
  • Use Case: Ideal for financial analysts, investors, and traders who need to stay informed about market movements and make data-driven decisions.

Quick Start

Run the skill with the command: python3 scripts/run_pipeline.py --week 2026-W27 --out ./output/

Frequently Asked Questions about vn-rates-weekly

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

FAQPage Schema
How do I automate weekly financial market report generation with rolling data?▼

Automate weekly financial market report generation by running Python scripts that extract data from multiple sources, process a rolling 4-week window, and output visualizations and in-depth analysis.

What data sources are used for automating financial indicators and yield curve analysis?▼

Financial indicators and yield curve analysis use data extracted from SBV, VBMA, VNBA, HNX, and FRED sources to process market rates, auction results, and global economic trends.

How do I run the Python scripts to generate a market rates report for a specific week?▼

Run the market rates report scripts using the command `python3 scripts/run_pipeline.py --week YYYY-WXX --out ./output/` to generate the weekly financial report.

Do I need Python and Node.js to extract financial data and generate charts?▼

Yes, extracting financial data and generating charts requires Python, Node.js, pandas, matplotlib, poppler-utils, and playwright to process data and render visualizations.

What is the best way to analyze market trends using a rolling 4-week window?▼

The best way to analyze market trends uses a rolling 4-week window to process rolling data, ensuring up-to-date insights into yield curves, currencies, and financial indicators.

Related Skills

Explore More Finance & Accounting Skills→
ash-ai-orgash-ai-org
34

analyze

Write and execute Python scripts to analyze datasets with pandas and matplotlib.

Official
Intermediate
IsKenKenYaIsKenKenYa

Excel Analysis

Analyze Excel spreadsheets by importing data, cleaning it, and generating pivot tables and charts.

Community
Intermediate
Duzhenyang111Duzhenyang111

macro-rates-monitor

Monitor macroeconomic conditions and analyze yield curves with macro indicators and swap rates.

Community
Advanced
R3n3gade-aiR3n3gade-ai

advanced-daily-report

Automate data collection, analysis, and reporting across Git, email, memory, and to-dos.

Community
Advanced