eps comparison graph ready
This commit is contained in:
Pietro Rodolfo Masera
parent
435ba7450e
commit
043ace9a0e
7 changed files with 528 additions and 4 deletions
361
Elaborated_Data/eps_comparison.csv
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361
Elaborated_Data/eps_comparison.csv
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,Ticker,quarter,epsDifferential
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0,AAPL,2022-06-30,3.448275862068969
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1,AAPL,2022-09-30,1.5748031496063006
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2,AAPL,2022-12-31,-3.092783505154642
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3,AAPL,2023-03-31,6.2937062937062995
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4,ABBV,2022-06-30,1.8126888217522674
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5,ABBV,2022-09-30,2.5210084033613533
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6,ABBV,2022-12-31,1.1235955056179785
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7,ABBV,2023-03-31,0.0
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8,ABT,2022-06-30,26.54867256637169
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9,ABT,2022-09-30,22.34042553191489
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10,ABT,2022-12-31,11.956521739130432
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11,ABT,2023-03-31,4.040404040404044
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12,ACN,2022-05-31,-2.1052631578947385
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13,ACN,2022-08-31,1.1673151750972859
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14,ACN,2022-11-30,5.841924398625427
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15,ACN,2023-02-28,7.599999999999999
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16,ADBE,2022-05-31,1.2084592145015116
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17,ADBE,2022-08-31,2.1021021021020974
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18,ADBE,2022-11-30,2.85714285714286
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19,ADBE,2023-02-28,3.2608695652173822
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20,AMAT,2022-07-31,8.379888268156419
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21,AMAT,2022-10-31,17.341040462427735
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22,AMAT,2023-01-31,5.181347150259061
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23,AMAT,2023-04-30,8.69565217391304
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24,AMGN,2022-06-30,5.681818181818182
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25,AMGN,2022-09-30,5.855855855855851
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26,AMGN,2022-12-31,0.0
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27,AMGN,2023-03-31,3.3766233766233738
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28,AMZN,2022-06-30,-242.85714285714283
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29,AMZN,2022-09-30,33.33333333333336
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30,AMZN,2022-12-31,-82.3529411764706
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31,AMZN,2023-03-31,47.61904761904762
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32,APD,2022-06-30,0.3831417624521162
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33,APD,2022-09-30,4.710144927536245
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34,APD,2022-12-31,-2.222222222222224
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35,APD,2023-03-31,3.7878787878787907
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36,AVGO,2022-04-30,4.252873563218403
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37,AVGO,2022-07-31,1.7782426778242668
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38,AVGO,2022-10-31,1.653696498054474
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39,AVGO,2023-01-31,2.2772277227722815
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40,BA,2022-06-30,164.28571428571425
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41,BA,2022-09-30,-8928.571428571428
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42,BA,2022-12-31,-773.076923076923
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43,BA,2023-03-31,18.691588785046722
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44,BAC,2022-06-30,-2.6666666666666687
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45,BAC,2022-09-30,5.194805194805199
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46,BAC,2022-12-31,10.389610389610384
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47,BAC,2023-03-31,14.634146341463413
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48,BDX,2022-06-30,6.400000000000006
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49,BDX,2022-09-30,0.3649635036496272
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50,BDX,2022-12-31,11.194029850746261
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51,BDX,2023-03-31,4.379562043795607
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52,BIDU,2022-06-30,51.38888888888891
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53,BIDU,2022-09-30,10.176991150442499
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54,BIDU,2022-12-31,12.060301507537687
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55,BIDU,2023-03-31,29.213483146067404
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56,BMY,2022-06-30,7.8212290502793245
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57,BMY,2022-09-30,8.7431693989071
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58,BMY,2022-12-31,5.813953488372099
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59,BMY,2023-03-31,4.060913705583748
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60,CAT,2022-06-30,5.647840531561474
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61,CAT,2022-09-30,25.0
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62,CAT,2022-12-31,6.218905472636817
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63,CAT,2023-03-31,29.894179894179906
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64,CCI,2022-06-30,1.0416666666666676
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65,CCI,2022-09-30,0.0
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66,CCI,2022-12-31,-3.061224489795921
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67,CCI,2023-03-31,6.593406593406587
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68,CHTR,2022-06-30,27.721335268505097
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69,CHTR,2022-09-30,-10.328068043742412
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70,CHTR,2022-12-31,-12.514220705346974
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71,CHTR,2023-03-31,-11.096256684491978
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72,CMCSA,2022-06-30,10.989010989010985
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73,CMCSA,2022-09-30,6.66666666666666
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74,CMCSA,2022-12-31,6.493506493506485
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75,CMCSA,2023-03-31,12.195121951219525
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76,CME,2022-06-30,2.072538860103629
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77,CME,2022-09-30,2.061855670103095
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78,CME,2022-12-31,2.1276595744680873
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79,CME,2023-03-31,2.1097046413502034
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80,COST,2022-05-31,0.3300330033003377
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81,COST,2022-08-31,0.9615384615384623
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82,COST,2022-11-30,-1.2861736334405156
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83,COST,2023-02-28,2.8037383177570048
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84,CRM,2022-04-30,4.255319148936175
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85,CRM,2022-07-31,16.66666666666666
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86,CRM,2022-10-31,15.70247933884297
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87,CRM,2023-01-31,23.52941176470587
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88,CSCO,2022-07-31,1.2195121951219523
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89,CSCO,2022-10-31,2.380952380952383
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90,CSCO,2023-01-31,3.529411764705886
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91,CSCO,2023-04-30,3.092783505154642
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92,CSX,2022-06-30,6.382978723404261
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93,CSX,2022-09-30,4.081632653061228
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94,CSX,2022-12-31,2.1739130434782505
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95,CSX,2023-03-31,11.627906976744184
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96,CVS,2022-06-30,10.599078341013826
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97,CVS,2022-09-30,5.025125628140697
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98,CVS,2022-12-31,3.645833333333337
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99,CVS,2023-03-31,5.263157894736858
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100,CVX,2022-06-30,14.117647058823543
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101,CVX,2022-09-30,15.592515592515593
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102,CVX,2022-12-31,-6.621004566210047
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103,CVX,2023-03-31,4.1055718475073215
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104,D,2022-06-30,1.3157894736842117
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105,D,2022-09-30,2.77777777777778
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106,D,2022-12-31,1.9230769230769247
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107,D,2023-03-31,2.061855670103095
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108,DE,2022-07-31,-7.922272047832589
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109,DE,2022-10-31,4.641350210970465
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110,DE,2023-01-31,17.80575539568346
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111,DE,2023-04-30,12.339930151338772
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112,DHR,2022-06-30,17.446808510638284
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113,DHR,2022-09-30,13.274336283185853
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114,DHR,2022-12-31,12.99212598425197
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115,DHR,2023-03-31,4.888888888888884
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116,DIS,2022-06-30,13.54166666666668
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117,DIS,2022-09-30,-45.45454545454546
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118,DIS,2022-12-31,26.923076923076916
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119,DIS,2023-03-31,0.0
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120,DUK,2022-06-30,6.542056074766339
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121,DUK,2022-09-30,-3.260869565217394
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122,DUK,2022-12-31,3.738317757009349
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123,DUK,2023-03-31,-4.761904761904765
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124,EXC,2022-06-30,-4.347826086956525
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125,EXC,2022-09-30,7.1428571428571495
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126,EXC,2022-12-31,0.0
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127,EXC,2023-03-31,6.060606060606049
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128,FDX,2022-05-31,0.14577259475218346
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129,FDX,2022-08-31,-33.07392996108949
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130,FDX,2022-11-30,12.765957446808523
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131,FDX,2023-02-28,24.908424908424916
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132,FIS,2022-06-30,1.1695906432748548
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133,FIS,2022-09-30,-0.571428571428572
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134,FIS,2022-12-31,0.5882352941176475
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135,FIS,2023-03-31,7.500000000000007
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136,GE,2022-06-30,110.8108108108108
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137,GE,2022-09-30,-23.913043478260878
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138,GE,2022-12-31,9.734513274336292
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139,GE,2023-03-31,92.85714285714285
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140,GILD,2022-06-30,3.947368421052635
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141,GILD,2022-09-30,32.86713286713287
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142,GILD,2022-12-31,12.080536912751674
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143,GILD,2023-03-31,-11.038961038961034
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144,GOOGL,2022-06-30,-5.468750000000004
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145,GOOGL,2022-09-30,-15.199999999999998
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146,GOOGL,2022-12-31,-11.016949152542365
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147,GOOGL,2023-03-31,9.345794392523352
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148,GS,2022-06-30,17.47720364741642
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149,GS,2022-09-30,7.282184655396613
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150,GS,2022-12-31,-39.41605839416059
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151,GS,2023-03-31,8.518518518518512
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152,HD,2022-07-31,2.2267206477732677
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153,HD,2022-10-31,2.9126213592233037
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154,HD,2023-01-31,0.6097560975609762
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155,HD,2023-04-30,0.5263157894736847
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156,HON,2022-06-30,3.44827586206898
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157,HON,2022-09-30,4.16666666666666
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158,HON,2022-12-31,0.3984063745020013
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159,HON,2023-03-31,7.25388601036269
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160,IBM,2022-06-30,1.7621145374449354
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161,IBM,2022-09-30,2.25988700564972
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162,IBM,2022-12-31,0.0
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163,IBM,2023-03-31,7.936507936507943
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164,INTC,2022-06-30,-58.57142857142858
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165,INTC,2022-09-30,84.37499999999999
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166,INTC,2022-12-31,-50.0
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167,INTC,2023-03-31,-73.33333333333333
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168,ISRG,2022-06-30,-4.201680672268911
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169,ISRG,2022-09-30,6.249999999999986
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170,ISRG,2022-12-31,-1.6000000000000014
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171,ISRG,2023-03-31,2.500000000000002
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172,JNJ,2022-06-30,2.371541501976287
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173,JNJ,2022-09-30,3.2388663967611184
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174,JNJ,2022-12-31,5.381165919282516
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175,JNJ,2023-03-31,7.200000000000006
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176,JPM,2022-06-30,-4.1666666666666705
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177,JPM,2022-09-30,8.333333333333341
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178,JPM,2022-12-31,16.33986928104575
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179,JPM,2023-03-31,20.234604105571833
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180,KO,2022-06-30,4.477611940298495
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181,KO,2022-09-30,7.812499999999989
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182,KO,2022-12-31,0.0
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183,KO,2023-03-31,6.250000000000005
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184,LIN,2022-06-30,58.163265306122454
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185,LIN,2022-09-30,15.476190476190482
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186,LIN,2022-12-31,17.91044776119403
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187,LIN,2023-03-31,62.051282051282065
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188,LLY,2022-06-30,-26.035502958579883
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189,LLY,2022-09-30,3.1250000000000027
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190,LLY,2022-12-31,17.415730337078642
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191,LLY,2023-03-31,-6.3583815028901665
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192,LMT,2022-06-30,-32.94797687861272
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193,LMT,2022-09-30,0.750750750750748
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194,LMT,2022-12-31,0.13531799729364918
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195,LMT,2023-03-31,9.075907590759089
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196,LOW,2022-04-30,9.00621118012421
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197,LOW,2022-07-31,1.9650655021834031
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198,LOW,2022-10-31,5.483870967741932
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199,LOW,2023-01-31,3.1674208144796308
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200,LRCX,2022-06-30,20.628415300546443
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201,LRCX,2022-09-30,9.338929695697804
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202,LRCX,2022-12-31,7.53012048192771
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203,LRCX,2023-03-31,6.880733944954132
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204,MA,2022-06-30,8.474576271186448
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205,MA,2022-09-30,4.687500000000004
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206,MA,2022-12-31,2.713178294573637
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207,MA,2023-03-31,2.9411764705882213
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208,MCD,2022-06-30,3.2388663967611184
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209,MCD,2022-09-30,3.8759689922480653
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210,MCD,2022-12-31,5.714285714285701
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211,MCD,2023-03-31,12.875536480686685
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212,MCO,2022-06-30,-3.4782608695652013
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213,MCO,2022-09-30,-10.194174757281552
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214,MCO,2022-12-31,11.111111111111121
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215,MCO,2023-03-31,35.90909090909091
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216,MDT,2022-04-30,-2.5641025641025665
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217,MDT,2022-07-31,0.8928571428571237
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218,MDT,2022-10-31,1.5625000000000013
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219,MDT,2023-01-31,2.362204724409451
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220,MMC,2022-06-30,1.612903225806441
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221,MMC,2022-09-30,3.5087719298245648
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222,MMC,2022-12-31,4.255319148936175
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223,MMC,2023-03-31,2.429149797570834
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224,MMM,2022-06-30,2.4793388429752086
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225,MMM,2022-09-30,3.4615384615384563
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226,MMM,2022-12-31,-3.3898305084745797
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227,MMM,2023-03-31,24.68354430379746
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228,MO,2022-06-30,0.8000000000000007
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229,MO,2022-09-30,-1.5384615384615397
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230,MO,2022-12-31,0.8547008547008554
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231,MO,2023-03-31,0.0
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232,MRK,2022-06-30,10.000000000000009
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233,MRK,2022-09-30,8.187134502923984
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234,MRK,2022-12-31,5.194805194805199
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235,MRK,2023-03-31,6.060606060606049
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236,MSFT,2022-06-30,-2.6200873362445436
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237,MSFT,2022-09-30,2.1739130434782727
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238,MSFT,2022-12-31,1.3100436681222623
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239,MSFT,2023-03-31,9.865470852017946
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240,NEE,2022-06-30,10.958904109589051
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241,NEE,2022-09-30,6.249999999999992
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242,NEE,2022-12-31,4.081632653061228
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243,NEE,2023-03-31,16.666666666666664
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244,NFLX,2022-06-30,8.843537414965995
|
||||||
|
245,NFLX,2022-09-30,45.5399061032864
|
||||||
|
246,NFLX,2022-12-31,-73.33333333333334
|
||||||
|
247,NFLX,2023-03-31,0.6993006993007
|
||||||
|
248,NKE,2022-05-31,12.499999999999996
|
||||||
|
249,NKE,2022-08-31,1.0869565217391313
|
||||||
|
250,NKE,2022-11-30,32.81249999999999
|
||||||
|
251,NKE,2023-02-28,43.636363636363626
|
||||||
|
252,NSC,2022-06-30,-0.5763688760806921
|
||||||
|
253,NSC,2022-09-30,12.637362637362623
|
||||||
|
254,NSC,2022-12-31,-0.5813953488372098
|
||||||
|
255,NSC,2023-03-31,6.410256410256402
|
||||||
|
256,NVDA,2022-04-30,5.426356589147292
|
||||||
|
257,NVDA,2022-07-31,-59.199999999999996
|
||||||
|
258,NVDA,2022-10-31,-15.942028985507244
|
||||||
|
259,NVDA,2023-01-31,8.64197530864197
|
||||||
|
260,ORCL,2022-05-31,12.408759124087585
|
||||||
|
261,ORCL,2022-08-31,-3.738317757009349
|
||||||
|
262,ORCL,2022-11-30,2.5423728813559343
|
||||||
|
263,ORCL,2023-02-28,1.6666666666666683
|
||||||
|
264,PEP,2022-06-30,6.896551724137938
|
||||||
|
265,PEP,2022-09-30,7.0652173913043415
|
||||||
|
266,PEP,2022-12-31,1.2121212121212133
|
||||||
|
267,PEP,2023-03-31,7.913669064748209
|
||||||
|
268,PFE,2022-06-30,14.606741573033707
|
||||||
|
269,PFE,2022-09-30,28.057553956834543
|
||||||
|
270,PFE,2022-12-31,8.571428571428557
|
||||||
|
271,PFE,2023-03-31,25.510204081632654
|
||||||
|
272,PG,2022-06-30,-0.8196721311475417
|
||||||
|
273,PG,2022-09-30,1.9480519480519498
|
||||||
|
274,PG,2022-12-31,0.0
|
||||||
|
275,PG,2023-03-31,3.7878787878787907
|
||||||
|
276,PM,2022-06-30,4.761904761904765
|
||||||
|
277,PM,2022-09-30,-2.2058823529411784
|
||||||
|
278,PM,2022-12-31,12.09677419354838
|
||||||
|
279,PM,2023-03-31,2.9850746268656576
|
||||||
|
280,PYPL,2022-06-30,8.139534883720938
|
||||||
|
281,PYPL,2022-09-30,12.50000000000001
|
||||||
|
282,PYPL,2022-12-31,3.3333333333333366
|
||||||
|
283,PYPL,2023-03-31,6.363636363636349
|
||||||
|
284,SCHW,2022-06-30,6.593406593406587
|
||||||
|
285,SCHW,2022-09-30,4.761904761904765
|
||||||
|
286,SCHW,2022-12-31,0.0
|
||||||
|
287,SCHW,2023-03-31,3.333333333333336
|
||||||
|
288,SO,2022-06-30,27.380952380952394
|
||||||
|
289,SO,2022-09-30,-1.5037593984962419
|
||||||
|
290,SO,2022-12-31,8.333333333333341
|
||||||
|
291,SO,2023-03-31,11.267605633802827
|
||||||
|
292,SPG,2022-06-30,5.5944055944056
|
||||||
|
293,SPG,2022-09-30,14.583333333333332
|
||||||
|
294,SPG,2022-12-31,21.1764705882353
|
||||||
|
295,SPG,2023-03-31,-0.7194244604316554
|
||||||
|
296,SPGI,2022-06-30,-4.095563139931744
|
||||||
|
297,SPGI,2022-09-30,5.01792114695341
|
||||||
|
298,SPGI,2022-12-31,2.4193548387096793
|
||||||
|
299,SPGI,2023-03-31,8.247422680412363
|
||||||
|
300,T,2022-06-30,6.557377049180333
|
||||||
|
301,T,2022-09-30,11.475409836065584
|
||||||
|
302,T,2022-12-31,7.0175438596491295
|
||||||
|
303,T,2023-03-31,3.448275862068969
|
||||||
|
304,TGT,2022-07-31,-45.83333333333333
|
||||||
|
305,TGT,2022-10-31,-27.69953051643192
|
||||||
|
306,TGT,2023-01-31,35.0
|
||||||
|
307,TGT,2023-04-30,16.477272727272716
|
||||||
|
308,TMO,2022-06-30,10.420841683366724
|
||||||
|
309,TMO,2022-09-30,5.613305613305624
|
||||||
|
310,TMO,2022-12-31,3.8461538461538494
|
||||||
|
311,TMO,2023-03-31,0.0
|
||||||
|
312,TMUS,2022-06-30,-136.0
|
||||||
|
313,TMUS,2022-09-30,900.0
|
||||||
|
314,TMUS,2022-12-31,7.272727272727258
|
||||||
|
315,TMUS,2023-03-31,6.756756756756762
|
||||||
|
316,TSLA,2022-06-30,26.66666666666667
|
||||||
|
317,TSLA,2022-09-30,6.060606060606066
|
||||||
|
318,TSLA,2022-12-31,5.309734513274342
|
||||||
|
319,TSLA,2023-03-31,0.0
|
||||||
|
320,TXN,2022-06-30,15.566037735849058
|
||||||
|
321,TXN,2022-09-30,3.347280334728036
|
||||||
|
322,TXN,2022-12-31,7.575757575757572
|
||||||
|
323,TXN,2023-03-31,3.9325842696629247
|
||||||
|
324,UNH,2022-06-30,7.115384615384618
|
||||||
|
325,UNH,2022-09-30,6.826568265682659
|
||||||
|
326,UNH,2022-12-31,3.2882011605415844
|
||||||
|
327,UNH,2023-03-31,2.1207177814029348
|
||||||
|
328,UNP,2022-06-30,2.4475524475524577
|
||||||
|
329,UNP,2022-09-30,4.248366013071892
|
||||||
|
330,UNP,2022-12-31,-3.610108303249101
|
||||||
|
331,UNP,2023-03-31,3.48837209302325
|
||||||
|
332,UPS,2022-06-30,4.113924050632908
|
||||||
|
333,UPS,2022-09-30,5.281690140845083
|
||||||
|
334,UPS,2022-12-31,0.8356545961002856
|
||||||
|
335,UPS,2023-03-31,-0.4524886877827958
|
||||||
|
336,USB,2022-06-30,1.8691588785046744
|
||||||
|
337,USB,2022-09-30,0.8547008547008554
|
||||||
|
338,USB,2022-12-31,2.5641025641025665
|
||||||
|
339,USB,2023-03-31,3.5714285714285547
|
||||||
|
340,V,2022-06-30,13.142857142857142
|
||||||
|
341,V,2022-09-30,3.763440860215045
|
||||||
|
342,V,2022-12-31,8.45771144278609
|
||||||
|
343,V,2023-03-31,5.025125628140697
|
||||||
|
344,VZ,2022-06-30,-0.7575757575757582
|
||||||
|
345,VZ,2022-09-30,2.325581395348839
|
||||||
|
346,VZ,2022-12-31,0.0
|
||||||
|
347,VZ,2023-03-31,0.0
|
||||||
|
348,WFC,2022-06-30,-7.500000000000007
|
||||||
|
349,WFC,2022-09-30,-22.018348623853218
|
||||||
|
350,WFC,2022-12-31,-7.5757575757575815
|
||||||
|
351,WFC,2023-03-31,8.849557522123902
|
||||||
|
352,WMT,2022-07-31,9.259259259259252
|
||||||
|
353,WMT,2022-10-31,13.63636363636363
|
||||||
|
354,WMT,2023-01-31,13.24503311258278
|
||||||
|
355,WMT,2023-04-30,11.363636363636356
|
||||||
|
356,XOM,2022-06-30,10.695187165775385
|
||||||
|
357,XOM,2022-09-30,17.414248021108182
|
||||||
|
358,XOM,2022-12-31,3.3434650455927013
|
||||||
|
359,XOM,2023-03-31,9.266409266409276
|
||||||
|
17
backend/api/past_performance.py
Normal file
17
backend/api/past_performance.py
Normal file
|
|
@ -0,0 +1,17 @@
|
||||||
|
import os
|
||||||
|
import pandas as pd
|
||||||
|
import numpy as np
|
||||||
|
from scraper.top100_extractor import programming_crime_list
|
||||||
|
from typing import Optional
|
||||||
|
|
||||||
|
DF_EPS_PATH: str = os.path.join(os.path.dirname(__file__), '..', '..', 'Elaborated_Data', 'eps_comparison.csv')
|
||||||
|
|
||||||
|
|
||||||
|
def get_eps_comp(tickers: list[str]) -> list[dict]:
|
||||||
|
df = pd.read_csv(DF_EPS_PATH)
|
||||||
|
ticker_series = pd.Series(tickers)
|
||||||
|
df = df.loc[df['Ticker'].isin(ticker_series), :] \
|
||||||
|
.rename(columns={"epsDifferential": "quarterlyDifferential", "Ticker": "ticker"}) \
|
||||||
|
.reset_index(drop=True)
|
||||||
|
df = df.pivot(index='quarter', columns='ticker', values='quarterlyDifferential').reset_index(drop=False)
|
||||||
|
return df.replace({ np.nan: None }).to_dict('records')
|
||||||
|
|
@ -37,6 +37,23 @@ def concatenate_eps():
|
||||||
|
|
||||||
eps_df.to_csv('Elaborated_Data/eps_quarterly_bar_chart.csv')
|
eps_df.to_csv('Elaborated_Data/eps_quarterly_bar_chart.csv')
|
||||||
|
|
||||||
|
def eps_comparison():
|
||||||
|
# Read earnings csv
|
||||||
|
eps_comp_df = pd.DataFrame()
|
||||||
|
|
||||||
|
for ticker in programming_crime_list:
|
||||||
|
earnings = pd.read_csv(f'Companies_Data/{ticker}_Data/{ticker}earnings.csv')
|
||||||
|
earnings = earnings[['symbol', 'epsActual', 'epsEstimate', 'quarter']]
|
||||||
|
earnings['epsDifferential'] = ((earnings['epsActual'] - earnings['epsEstimate']) / earnings['epsEstimate']) * 100
|
||||||
|
earnings = earnings.drop(columns=['epsActual', 'epsEstimate'])
|
||||||
|
earnings = earnings.rename(columns={'symbol': 'Ticker'})
|
||||||
|
eps_comp_df = pd.concat([eps_comp_df, earnings], ignore_index=True, axis=0)
|
||||||
|
|
||||||
|
# Save the earnings df to Elaborated_Data
|
||||||
|
eps_comp_df.to_csv(f'Elaborated_Data/eps_comparison.csv')
|
||||||
|
|
||||||
|
return earnings
|
||||||
if __name__ == '__main__':
|
if __name__ == '__main__':
|
||||||
concatenate_price_history()
|
concatenate_price_history()
|
||||||
concatenate_eps()
|
concatenate_eps()
|
||||||
|
eps_comparison()
|
||||||
|
|
@ -44,6 +44,11 @@ export interface Eps {
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
export interface EpsComp {
|
||||||
|
[ticker: string]: string | number; // really just number
|
||||||
|
quarter: string;
|
||||||
|
}
|
||||||
|
|
||||||
export const getCompanies = (tickers?: string[]): Promise<Company[]> =>
|
export const getCompanies = (tickers?: string[]): Promise<Company[]> =>
|
||||||
fetch(BACKEND_URL + '/companies' + (tickers ? ('/' + tickers.join('/')) : ''))
|
fetch(BACKEND_URL + '/companies' + (tickers ? ('/' + tickers.join('/')) : ''))
|
||||||
.then(r => r.json())
|
.then(r => r.json())
|
||||||
|
|
@ -61,6 +66,8 @@ export const getPriceHistory = (tickers: string[]): Promise<PriceHistory[]> =>
|
||||||
export const getBalanceSheet = (tickers: string[]): Promise<BalanceSheet[]> =>
|
export const getBalanceSheet = (tickers: string[]): Promise<BalanceSheet[]> =>
|
||||||
fetch(BACKEND_URL + '/assets_debts/' + tickers.join('/')).then(r=>r.json())
|
fetch(BACKEND_URL + '/assets_debts/' + tickers.join('/')).then(r=>r.json())
|
||||||
|
|
||||||
|
|
||||||
export const getEps = (tickers: string[]): Promise<Eps[]> =>
|
export const getEps = (tickers: string[]): Promise<Eps[]> =>
|
||||||
fetch(BACKEND_URL + '/eps/' + tickers.join('/').toUpperCase()).then(r => r.json())
|
fetch(BACKEND_URL + '/eps/' + tickers.join('/').toUpperCase()).then(r => r.json())
|
||||||
|
|
||||||
|
export const getEpsComp = (tickers: string[]): Promise<EpsComp[]> =>
|
||||||
|
fetch(BACKEND_URL + '/eps_comp/' + tickers.join('/').toUpperCase()).then(r => r.json())
|
||||||
112
stockingly-frontend/src/components/EpsComparisonChart.vue
Normal file
112
stockingly-frontend/src/components/EpsComparisonChart.vue
Normal file
|
|
@ -0,0 +1,112 @@
|
||||||
|
<template>
|
||||||
|
<v-row>
|
||||||
|
<v-col cols="12">
|
||||||
|
<v-card>
|
||||||
|
<v-card-item>
|
||||||
|
<v-card-title>Past Performance</v-card-title>
|
||||||
|
</v-card-item>
|
||||||
|
<v-card-text>
|
||||||
|
<v-skeleton-loader class="chart-loader" v-if="epsCompData.loading" />
|
||||||
|
<ag-charts-vue class="chart" v-else :options="options" />
|
||||||
|
</v-card-text>
|
||||||
|
</v-card>
|
||||||
|
</v-col>
|
||||||
|
</v-row>
|
||||||
|
</template>
|
||||||
|
|
||||||
|
<script setup lang="ts">
|
||||||
|
import { EpsComp, getEpsComp } from '@/api';
|
||||||
|
import { defineLoader } from '@/api/loader';
|
||||||
|
import { DateTime } from 'luxon';
|
||||||
|
import { AgAxisLabelFormatterParams } from 'ag-charts-community';
|
||||||
|
import { roundTo } from 'round-to';
|
||||||
|
import { onMounted, computed } from 'vue';
|
||||||
|
import { AgChartsVue } from 'ag-charts-vue3';
|
||||||
|
|
||||||
|
const renderer = (params: any) => ({
|
||||||
|
title: params.title,
|
||||||
|
content: DateTime.fromMillis(params.xValue).toFormat('yyyy-MM') + ': ' + roundTo(params.yValue, 4) + '%',
|
||||||
|
});
|
||||||
|
|
||||||
|
const props = defineProps<{
|
||||||
|
tickers: string[],
|
||||||
|
colors: string[]
|
||||||
|
}>();
|
||||||
|
|
||||||
|
const getTickerColor = (ticker: string) => props.colors[props.tickers.indexOf(ticker)];
|
||||||
|
|
||||||
|
const epsCompData = defineLoader<EpsComp[]>(() => getEpsComp(props.tickers));
|
||||||
|
|
||||||
|
const options = computed(() => {
|
||||||
|
if (epsCompData.loading) return null;
|
||||||
|
|
||||||
|
return {
|
||||||
|
theme: 'ag-material',
|
||||||
|
data: epsCompData.data?.map(e => ({ ...e, quarter: Date.parse(e.quarter) })),
|
||||||
|
series: props.tickers.map((t: string) => ({
|
||||||
|
xKey: 'quarter',
|
||||||
|
type: 'line',
|
||||||
|
yKey: t,
|
||||||
|
yName: t,
|
||||||
|
fill: getTickerColor(t),
|
||||||
|
stroke: getTickerColor(t),
|
||||||
|
tooltip: { renderer: renderer },
|
||||||
|
highlightStyle: {
|
||||||
|
item: { fillOpacity: 0 },
|
||||||
|
series: { enabled: false }
|
||||||
|
},
|
||||||
|
})),
|
||||||
|
axes: [
|
||||||
|
{
|
||||||
|
type: 'category',
|
||||||
|
position: 'bottom',
|
||||||
|
label: {
|
||||||
|
autoRotate: true,
|
||||||
|
autoRotateAngle: 335,
|
||||||
|
formatter: (params: any) => {
|
||||||
|
return DateTime.fromMillis(parseInt(params.value)).toFormat('yyyy-MM');
|
||||||
|
}
|
||||||
|
},
|
||||||
|
gridStyle: [
|
||||||
|
{
|
||||||
|
lineDash: [Infinity],
|
||||||
|
}, {
|
||||||
|
lineDash: [Infinity],
|
||||||
|
}
|
||||||
|
],
|
||||||
|
},
|
||||||
|
{
|
||||||
|
type: 'number',
|
||||||
|
position: 'left',
|
||||||
|
label: {
|
||||||
|
format: '$~s',
|
||||||
|
formatter: (params: AgAxisLabelFormatterParams) => {
|
||||||
|
params?.formatter?.(params.value)
|
||||||
|
return params.value + '%';
|
||||||
|
}
|
||||||
|
},
|
||||||
|
gridStyle: [{
|
||||||
|
lineDash: [Infinity],
|
||||||
|
}, {
|
||||||
|
lineDash: [Infinity],
|
||||||
|
}],
|
||||||
|
crossLines:[
|
||||||
|
{
|
||||||
|
type: 'range',
|
||||||
|
value: 0,
|
||||||
|
lineDash: [6, 3],
|
||||||
|
stroke: 'black',
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
],
|
||||||
|
legend: {
|
||||||
|
position: 'bottom',
|
||||||
|
}
|
||||||
|
};
|
||||||
|
});
|
||||||
|
|
||||||
|
onMounted(() => {
|
||||||
|
epsCompData.load();
|
||||||
|
});
|
||||||
|
</script>
|
||||||
|
|
@ -36,6 +36,9 @@
|
||||||
<v-col cols="12">
|
<v-col cols="12">
|
||||||
<eps-chart :colors="colors" :tickers="tickers" />
|
<eps-chart :colors="colors" :tickers="tickers" />
|
||||||
</v-col>
|
</v-col>
|
||||||
|
<v-col cols="12">
|
||||||
|
<eps-comparison-chart :colors="colors" :tickers="tickers" />
|
||||||
|
</v-col>
|
||||||
</v-row>
|
</v-row>
|
||||||
</v-container>
|
</v-container>
|
||||||
</template>
|
</template>
|
||||||
|
|
@ -66,6 +69,7 @@ import EmployeesChart from '@/components/EmployeesChart.vue';
|
||||||
import BalanceSheet from '@/components/BalanceSheet.vue';
|
import BalanceSheet from '@/components/BalanceSheet.vue';
|
||||||
import EpsChart from '@/components/EpsChart.vue';
|
import EpsChart from '@/components/EpsChart.vue';
|
||||||
import StockPrice from '@/components/StockPrice.vue';
|
import StockPrice from '@/components/StockPrice.vue';
|
||||||
|
import EpsComparisonChart from '@/components/EpsComparisonChart.vue';
|
||||||
|
|
||||||
const route = useRoute();
|
const route = useRoute();
|
||||||
const router = useRouter();
|
const router = useRouter();
|
||||||
|
|
|
||||||
|
|
@ -10,6 +10,7 @@ import sys
|
||||||
import subprocess
|
import subprocess
|
||||||
from typing import Optional
|
from typing import Optional
|
||||||
from backend.api.eps import get_eps
|
from backend.api.eps import get_eps
|
||||||
|
from backend.api.past_performance import get_eps_comp
|
||||||
|
|
||||||
ROOT_DIR: str = os.path.dirname(__file__)
|
ROOT_DIR: str = os.path.dirname(__file__)
|
||||||
|
|
||||||
|
|
@ -63,6 +64,11 @@ def eps(tickers: Optional[str]) -> object:
|
||||||
return jsonify(get_eps(tickers.split('/')))
|
return jsonify(get_eps(tickers.split('/')))
|
||||||
|
|
||||||
|
|
||||||
|
@app.route('/eps_comp/<path:tickers>', methods=['GET'])
|
||||||
|
def eps_comp(tickers: Optional[str]) -> object:
|
||||||
|
return jsonify(get_eps_comp(tickers.split('/')))
|
||||||
|
|
||||||
|
|
||||||
if __name__ == '__main__':
|
if __name__ == '__main__':
|
||||||
if len(sys.argv) < 2 or sys.argv[1] != 'no-frontend':
|
if len(sys.argv) < 2 or sys.argv[1] != 'no-frontend':
|
||||||
build_frontend()
|
build_frontend()
|
||||||
|
|
|
||||||
Reference in a new issue