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Market intelligence dashboard

Nasdaq RS Radar.

A premium relative strength radar built to scan Nasdaq candidates, compare them against QQQ and transform market data into a focused operational watchlist.

The system combines Python data processing, Streamlit deployment, Plotly visual diagnostics, CSV/Markdown exports and a polished dashboard interface.

  • Python
  • Streamlit
  • Relative strength
  • Market dashboard
Product Overview

A data intelligence dashboard for market scanning and candidate discovery.

Nasdaq RS Radar is a custom analytical tool designed to narrow a large market universe into a more readable, ranked and reviewable shortlist. It does not replace human judgment: it creates a premium decision layer for faster research.

01

Relative Strength Engine

The system compares Nasdaq tickers against QQQ across multiple time windows and builds a composite RS profile.

02

Candidate Shortlist

Stocks are filtered by strength, extension, volume context and trend quality to generate focused review candidates.

03

Live Dashboard Layer

Streamlit, Plotly charts, dataframes, exports and archive logic are shaped into a polished operational interface.

Core Features

Built as a real analytical system, not a static dashboard concept.

The project demonstrates how Tailored WebCYte can design and publish data-driven tools: data ingestion, scoring logic, visual diagnostics, downloadable outputs and live product deployment.

01

Data Pipeline

Python processing downloads, ranks and stores market datasets for dashboard consumption.

02

Ranking Logic

Relative strength, extension, trend status and volume context are combined into candidate scoring.

03

Visual Analytics

Plotly maps, ranked tables, KPI cards and ticker diagnostics help users read market structure quickly.

04

Export Workflow

Markdown and CSV reports turn the dashboard output into reusable research material.

Live Interface

The radar runs as a deployed Streamlit intelligence terminal.

This preview loads the live Nasdaq RS Radar app hosted on Streamlit Cloud. Open it full screen for the complete dashboard experience.

nasdaq-rs-radar.streamlit.app

What this demonstrates

Data products can feel as refined as premium editorial interfaces.

Nasdaq RS Radar shows how a technical workflow can become a usable, elegant and client-facing product: from raw data to ranking logic, from Python scripts to a deployable dashboard.

Data pipeline Ranking logic Market analytics Dashboard UX Streamlit deploy Report exports
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