from spacy.tokenizer import Tokenizer
from spacy.lang.en import English
vocab = English()
# Create a Tokenizer with the default settings for English
tokenizer = vocab.tokenizer
tokens = tokenizer(sentence)
print(list(tokens))

"""[Following, the, debut, of, Bitcoin, futures, ETF, in, the, United, 
States, ,, the, crypto, market, is, abuzz, with, talks, of, an, impending, 
Ether, ETF.Speaking, on, a, show, on, CNBC, ,, Michael, Sonnenshein, ,, CEO, 
of, Grayscale, --, an, asset, management, company, with, $, 52, billion, in, 
assets, under, management, --, says, it, is, possible, ., He, said, it, ', 
stands, to, reason, ', the, Securities, and, Exchange, Committee, (, SEC, ), 
will, proactively, consider, bringing, Ethereum, ETF, and, other, similar, 
products, in, the, US, market, ., Canada, already, has, Bitcoin, ,, Ethereum, 
ETFsWhile, US, regulators, have, allowed, Bitcoin, futures, ETF, to, be, traded, 
on, the, exchanges, ,, Canada, has, allowed, both, Bitcoin, and, Ethereum, ETFs, .]"""