PyMarket is a python library designed to ease the simulation and comparison of different market mechanisms.
Marketplaces can be proposed to solve a diverse array of problems. They are used to sell ads online, bandwith spectrum, energy, etc. PyMarket provides a simple environment to try, simulate and compare different market mechanisms, a task that is inherent to the process of establishing a new market.
As an example, Local Energy Markets (LEMs) have been proposed to syncronize energy consumption with surplus of renewable generation. Several mechanisms have been proposed for such a market: from double sided auctions to p2p trading.
This library aims to provide a simple interface for such process, making results reproducible.
import pymarket as pm
import numpy as np
r = np.random.RandomState(1234)
mar = pm.Market()
bids = pm.datasets.uniform_bidders.generate(20, 20, 1, 1, r)
for b in bids:
mar.accept_bid(*b)
mar.plot()
bids = mar.bm.get_df()
bids.head() quantity price user buying time divisible
0 0.2374 1.0234 0 True 0 True
1 0.1784 1.1770 1 True 0 True
2 0.6301 1.5789 2 True 0 True
3 0.1600 1.8008 3 True 0 True
4 0.7920 1.5478 4 True 0 True
transactions, extra = mar.run('p2p', r=r)
transactions = transactions.get_df()
transactions.head() bid quantity price source active
0 16 0.0000 0.0000 34 True
1 34 0.0000 0.0000 16 True
2 0 0.0000 0.0000 23 True
3 23 0.0000 0.0000 0 True
4 12 0.0786 1.3828 26 False
Docs can be found here (click me!)
pip install pymarket