I built MarketPug to make fragmented stock research easier to navigate

Stock research often means jumping between a market heatmap, a news feed, a screener, charts, fundamental data, and a separate AI assistant.

I built MarketPug to test whether that workflow could feel more coherent.

The product idea

The main principle is:

See the whole market. Let AI explain the moves.

MarketPug starts with a visual overview so users can identify hot and cold sectors, then move into individual stock analysis without losing context.

The current experience includes:

• a visual market and sector overview
• individual stock analysis
• AI Q&A about market moves
• news sentiment and fundamental signals
• a chart-similarity quiz for learning recurring patterns

The product-design challenge

The hardest part is not adding more data. It is deciding what information deserves attention first.

A finance interface can become overwhelming very quickly, so I am trying to balance three layers:

1. Orientation: What is happening across the market?
2. Investigation: What is happening to this particular stock?
3. Explanation: What factors might help explain the move?

What I want to learn

I would appreciate direct feedback on these questions:

• Can you understand the first screen without instructions?
• Which analysis feels useful, and which feels like noise?
• Does the AI explanation add context, or does it interrupt the research flow?
• What would make you return the next day?

You can try it here:

• Web: https://marketpug.com
• iOS: https://apps.apple.com/us/app/marketpug-stock-analysis-ai/id6783217610
• Android: https://play.google.com/store/apps/details?id=com.jlabs.marketpug

I am the developer, and honest criticism is welcome. This is an analysis and learning tool, not financial advice.