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IPO Performance Tracker

New listings, and how they did on day one, day 30 and day 90.

All workRepo under wraps
Exhibit · IPO Performance Tracker
AFTER THE BELLIPODAY 1DAY 30DAY 90sectors · upcoming IPOs · earnings
When
July – August 2026
Where
Independent
Team
Personal project (ownership details being confirmed)
My role
Pipeline, return calculations and dashboard
Built with
Next.jsPythonCharts

Retrieves newly listed companies and IPO dates, ingests price history, and calculates first-day, 30-day and 90-day returns alongside sector context, upcoming IPOs and earnings dates.

  1. 01Chapter

    The problem

    IPO hype is loud on day one. What does the picture look like a quarter later?

  2. 02Chapter

    What I did

    • Built a pipeline to retrieve new listings and IPO dates and ingest historical prices.
    • Calculated first-day, 30-day and 90-day returns and stored listings and later events in a database.
    • Built a Next.js dashboard with performance, sector information, and upcoming IPOs and earnings announcements.

  3. 03Chapter

    Afterwards

    A data and dashboard experiment. No return figures are claimed here.

Private repository

The code lives in a private repository. If you’d like a walkthrough, get in touch.