bitcoin and ethereum futures spread dynamics

Here we will download and display calendar futures spread on btc and eth from binance.
We will use the following code to get the data via http API. We will look into september / december 2020 calendar spread for coin futures (delivered in coin).

import requests
from datetime import datetime
def ts2dt(x):
    return (datetime.utcfromtimestamp(int(x)/1000.))

def getqf(pair='ETHUSD',interval='1d',q=0):
    contractType={1:'CURRENT_QUARTER',0:'NEXT_QUARTER'}[q]
    r =requests.get(f'https://www.binance.com/dapi/v1/continuousKlines?pair={pair}&interval={interval}&contractType={contractType}&limit=800').json()    
    df=DF(r)
    df[0]=df[0].apply(ts2dt)
    df[6]=df[6].apply(ts2dt)
    df=df.set_index(0)
    return df.apply(pd.to_numeric)

ethdf1=getqf(pair='ETHUSD',interval='2h',q=0)#.set_index(0)
ethdf2=getqf(pair='ETHUSD',interval='2h',q=1)#.set_index(0)
eth=(ethdf1-ethdf2) #ethereum spread
btcdf1=getqf(pair='BTCUSD',interval='2h',q=0)#.set_index(0)
btcdf2=getqf(pair='BTCUSD',interval='2h',q=1)#.set_index(0)
btc=(btcdf1-btcdf2) #bitcoin spread

(btcdf1).join(50*btc,rsuffix='btc')[['1','1btc']].plot() #btc spread and btc price

BTC price (blue) and september – december calendar BTCUSD spread (x50) :

And the same for Ethereum futures and calendar spread:

and now both eth and btc spread after rank transform to show that they move in tandem: