The Team Behind SwissDataExplorers
This project turns market history into a readable story. We study how stocks respond when innovation hits, sometimes instantly, sometimes weeks later, and sometimes not at all.
Project overview
We asked a simple question with a complicated answer: when a breakthrough happens, does the market price it immediately, or only after the meaning becomes obvious?
To find out, we ran an event-study style analysis across dozens of innovation moments and translated the results into the narrative you see on the homepage. The goal is not to predict the future. It is to measure market recognition.
Meet the team
Data and method
Data sources
- Kaggle Stock Market Dataset (1962-2020) for long-run historical prices
- Yahoo Finance (2020-2024 extension) to bring the analysis into the recent AI era
- Official company newsrooms to validate dates and align the narrative with real announcements
The whole site is built to make one idea tangible: markets do not react to innovation in a single universal way. They react based on visibility, timing, uncertainty, and whether a binary gate exists (like regulatory approval).
Tools
- Python for data processing and event-study metrics
- Plotly for interactive figures
- Flourish for animated rankings and flow diagrams
- Jekyll (Bulma Clean Theme) for the website layer