prediction-fees added to PyPI
Exact Kalshi and Polymarket trading fees from a dated schedule: taker, maker, multi-level executions, cent round-up.
The Python Package Index (PyPI) has recently added a new package called 'prediction-fees,' which provides exact trading fees for Kalshi and Polymarket from a dated schedule. This package is designed to offer precise information on taker, maker, multi-level executions, and cent round-up fees, ensuring that traders and developers have access to accurate and up-to-date fee structures.
The 'prediction-fees' package is a valuable addition to the PyPI repository, as it caters to the needs of traders and developers in the cryptocurrency and prediction markets. With no dependencies and an MIT license, it is easy to integrate into existing projects. Users can simply install the package using pip and import the necessary functions to access the trading fees for Kalshi and Polymarket.
Original Source
Read the original article from Pypi.org
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