understanding native tokens through data

Sapient Cardano Assets Data Portal: Clean Data, Backtesting & Price Models for Native Tokens.


Interactive website under development, please enjoy the preview, refer to our Github and Contact Us during project phase.

How to use this project:
Token data analysis to complement your subjective view of the best Cardano projects.

Funding global protocolss or businesses through native tokens that exist without intermediaries and can be accessed without legacy barriers to entry is one of the most exciting use cases for web3.

Often, the best projects are not the one that advertise the most, and good pitches sometimes belie lack of utility and participation in the economic results. By understanding native tokens in terms of price trends and metrics like volatility and relative strength, an important layer is added to the investment decision process. DYOR - do your own research. And this includes backtesting trading strategies and risk managing your position sizing.

We love to hear from you: which tokens are you interested in, which packages do you like to see tested and which holding periods and charting intervals do you prefer?

Case Study
World Mobile Token (WMT)

We have selected WMT as the second most important native token on Cardano and the biggest pure-play Cardano-exclusive project. With a long trading history, broad base of holders and daily traders, it is ideal for traditional charting and backtesting without adjusting for price outliers, gaps, jumps or large discrepancies between DEXes.

The video shows a brief walk-through of the IPYthon notebook on our Github as part of Milestone 1. This will evolve during the project phase and include portfolio management as more tokens are added.


Getting the data
from file imports to an API

This suggested technology stack focuses on simplicity, cost-effectiveness, and minimal dependencies, using primarily open-source tools.

Why Flask? Flask is a lightweight Python web framework that's easy to get started with and highly flexible for developing REST APIs. It is minimalistic by design, which helps in maintaining fewer dependencies. Key Libraries: Flask-RESTful for simplifying API creation and Flask-SQLAlchemy for ORM support.


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