Trading Market Non-Correlation PlatoBlockchain Data Intelligence. Vertical Search. Ai.

Trading Market Non-Correlation

Trading Market Non-Correlation PlatoBlockchain Data Intelligence. Vertical Search. Ai.
top_10 = df_transpose.corr()['BTC-GBP'].sort_values(ascending=False).keys()[0:20]
print (top_10)
Index(['BTC-GBP', 'BTC-USD', 'WBTC-USD', 'BTC-EUR', 'BTC-USDT', 'BTC-USDC', '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 (bottom_10)
Index(['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
Index(['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')

Summary

Google Colab

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

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