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    Wall Street Daily Top 5

    2

    Generates a professional, interactive HTML dashboard analyzing the top 5 US market sectors using a weighted quant engine.

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    Wall Street Daily Top 5

    Wall Street Daily Top 5

    Example session with this skill installed

    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.

    • Read your context and instructions
    • Compiled the wall street daily

    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)

    Connects securely to your tools. The creator never sees your data.

    What you get

    Generate interactive dark-mode dashboards for daily sector rotation reviews.Calculate weighted heat scores for sectors using volume and flow data.Visualize institutional capital flows through automated Sankey diagrams.Identify Volume-Price Divergence and RSI extremes via quant signal rules.

    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

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Needs access to

    Jsdelivr
    Unpkg

    Listed1 month ago

    What's inside

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