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GOOG
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0.001309
0.046329
-0.049457
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0.102099
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0.06783
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0.101558
0.032932
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0.05354
0.006445
-0.034903
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0.097311
-0.073123
-0.00002
0.061662
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0.002706
-0.024074
0.081955
0.01945
-0.006918
-0.036856
0.021959
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0.030068
0.006243
-0
0.032993
-0.070329
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0.051067
0.013022
0.021786
0.007877
0.031657
-0.028126
0.052736
0.01088
-0.033418
-0.13419
0.003424
0.008919
0.001031
0.01476
0.067238
0.033981
0.014144
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0.015183
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0.028915
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0.005337
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0.060148
0.011334
0.083019
-0.039113
0.056866
-0.001599
NVDA
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0.019065
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-0.007417
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0.040612
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0.003344
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0.018075
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0.002288
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0.041338
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0.002799
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0.017259
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0.000988
0.045236
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0.038091
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0.06957
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0.028753
0.043089
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0.030816
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0.029842
0.023327
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0.066314
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0.085413
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0.051395
0.141035
0.053421
0.02438
0.023391
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0.011394
0.069204
0.024328
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0.022896
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0.011688
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0.031903
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0.00358
0.104525
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0.116424
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0.010175
0.095865
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0.003188
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0.078596
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0.033072
0.007249
-0.078323
0
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0.165286
0.033268
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0.023033
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0.056857
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0.044278
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0.044327
0.001681
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0.004096
0.06112
0.010583
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0.002336
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0.047873
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0.101781
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-0
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0.121174
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0.001421
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0.050468
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0.007412
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0.061969
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0.013365
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0.02393
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0.003492
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0.077679
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-0
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0.003387
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0.004404
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0.052895
0.028398
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0.060653
-0.003937
JPM
0.0062
-0.060733
-0.079037
0.0076
0.013192
-0.009175
0.031085
0.048887
0.014364
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0.000644
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0.056927
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0.131394
0.038897
0.066307
0.007675
0.0437
0.046651
0.043705
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0.006043
0.014013
0.001316
0.058747
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0.000432
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0.1124
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0.062067
0.002878
0.129222
0.029787
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0.099215
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-0
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0.084613
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0.078159
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0.009175
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PG
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0.025282
0.006584
0.025508
0.056677
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BAC
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PFE
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Embeddings derived from business descriptions of S&P500 companies using sentence-BERT, SentenceTransformer('all-MiniLM-L6-v2') to be exact. For more info on evaluation of sentence transformers (specifcailly the huge GPT-3 versus smaller models see: https://twitter.com/Nils_Reimers/status/1487014195568775173)

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