Kauplemisturu mittekorrelatsiooniline PlatoBlockchaini andmete luure. Vertikaalne otsing. Ai.

Kauplemisturu mittekorrelatsioon

Kauplemisturu mittekorrelatsiooniline PlatoBlockchaini andmete luure. Vertikaalne otsing. Ai.
top_10 = df_transpose.corr()['BTC-GBP'].sort_values(ascending=False).keys()[0:20]
print (top_10)
Indeks(['BTC-GBP', 'BTC-USD', 'WBTC-USD', 'BTC-EUR', 'BTC-USDT', 'BTC-USD', 'ADA-USDC', 'ADA-USD' , "YFI-USD", "ADA-EUR", "ADA-GBP", "OXT-USD", "ETH-GBP", "WBTC-BTC", "ETH-USD", "ETH-DAI", " ETH-EUR", "ETH-USDT", "ETH-USDC", "STORJ-USD"], dtype='object')
bottom_10 = df_transpose.corr()['BTC-GBP'].sort_values(ascending=True).keys()[0:20]
print (alt_10)
Indeks (['MIR-GBP', 'USDT-EUR', 'USDC-EUR', 'ZEC-BTC', 'DAI-USD', 'CRV-BTC', 'ADA-ETH', 'DAI-USDC' , 'UMA-BTC', 'COMP-BTC', 'USDC-GBP', 'MIR-BTC', 'USDT-GBP', 'REP-BTC', 'FIL-BTC', 'ICP-BTC', ' SUSHI-ETH", "MIR-EUR", "MIR-USD", "BAT-ETH"], dtype='object')
df_filtered = df[~df_transpose.keys().str.contains('USD[TC]', regex=True)]
df_filtered_transpose = df_filtered.T
Indeks(['MIR-GBP', "ZEC-BTC", "DAI-USD", "CRV-BTC", "ADA-ETH", "UMA-BTC", "COMP-BTC", "MIR-BTC") , 'REP-BTC', 'FIL-BTC', 'ICP-BTC', 'SUSHI-ETH', 'MIR-EUR', 'MIR-USD', 'BAT-ETH', 'ZEC-USD', ' FORTH-BTC", "CRV-EUR", "SUSHI-BTC", "RLC-BTC"], dtype='object')

kokkuvõte

google colab

Allikas: https://medium.com/coinmonks/trading-market-non-correlation-dab4678ffc13?source=rss——-8—————–cryptocurrency

Ajatempel:

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