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Wall Street Daily Top 5
by Jiangdongbo
Generates a professional, interactive HTML dashboard analyzing the top 5 US market sectors using a weighted quant engine.
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See it in action
You say
Generate today's US sector top 5 analysis. The market saw heavy inflows into Tech and Energy today, but Tech RSI is hitting 75. Produce the HTML dashboard.
Your agent does
Market Theme: Tech leads on earnings beats while Energy follows crude spikes, though Tech shows overbought signals.
Generated: wallstreet_top5_intl_2023-10-27.html (HTML file attached with interactive Heatmap, Capital-Flow Sankey, and RSI Thermometer)
What you get
About this skill
The problem
Traders and analysts waste hours manually aggregating sector performance, volume data, and sentiment into a readable format. Relying on fragmented dashboards makes it difficult to visualize capital rotation and identify which sectors have actual institutional backing versus retail noise.
What it does
- Analyzes the US market to identify the top 5 hottest sectors based on a weighted algorithm (Daily Gains, Volume, Net Inflow, RSI, and Catalysts).
- Generates a professional, dark-themed, single-file HTML dashboard with interactive charts, Sankey diagrams for capital flow, and RSI thermometers.
- Computes quantitative signals to flag Volume-Price Divergence, overbought conditions, and crowded trades automatically.
- Categorizes sector lifecycles and provides tiered strategies (Aggressive, Steady, Conservative) without recommending individual stocks.
- Standardizes data confidence by tagging every metric as Reported, Estimated, Modeled, or Calculated.
Frameworks & tools
Python, HTML5, CSS3, ECharts, and JSON. The generator operates without real-time API dependencies, using a localized quant engine for score computation.
Why this beats prompting it yourself
Standard LLM prompts often hallucinate market math or produce messy text-only lists. This skill uses a hardcoded Python quant engine and logic framework to ensure heat scores are mathematically consistent and delivered in a browser-ready UI that looks like a professional Bloomberg or Reuters terminal.
Use cases
- Create daily US market closing reports for distribution or personal tape review.
- Visualize sector rotation and capital flows using interactive Sankey diagrams.
- Identify technical divergences in hot sectors before they hit mainstream news.
- Maintain a historical archive of market dashboards for backtesting sentiment.
Known limitations
Does not provide individual stock picks or exact price targets to maintain compliance. Requires manual data entry or web search results to fill the JSON schema as it has no direct brokerage API connection.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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26+ total installs · 30 skills on Agensi
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