Simple visualization for top bids/asks of ZRX-WETH market on Radar Relay and DDEx

radar_ddex_ZRXWETH_bidask.py

import time
import requests as r
import matplotlib.pyplot as plt

# number of data points (+- 1 data point/sec)
period = 100

# marketId(s)
idex_pair, radar_pair = 'ETH_ZRX', 'ZRX-WETH'
idex_api = 'https://api.idex.market/returnTicker'
radar_api = 'https://api.radarrelay.com/v0/markets/{}/ticker'.format(radar_pair)

idex_bids, idex_asks, radar_bids, radar_asks = [], [], [], []

for i in range(0,period):

	# query and store market data
	idex_data = r.get(idex_api).json()[idex_pair]
	radar_data = r.get(radar_api).json()

	# append best bids to lists
	idex_bids.append(idex_data['highestBid'])
	radar_bids.append(radar_data['bid'])

	# append best asks to lists
	idex_asks.append(idex_data['lowestAsk'])
	radar_asks.append(radar_data['ask'])
	time.sleep(1)

# generate line plot 
fig, ax = plt.subplots()
ax.plot(idex_bids, 'r-', label='idex bids')
ax.plot(radar_bids, 'b-', label='radar bids')
ax.plot(idex_asks, 'r--', label='idex asks')
ax.plot(radar_asks, 'b--', label='radar asks')
legend = ax.legend(loc='upper left', fontsize='large')
plt.ylabel('price')
plt.show()