Tests : Stocks > Comparison Analysis + Fundamental Analysis (#1084)

* Updating tests : stocks/comparison_analysis

* Updating tests : stocks/fundamental_analysis

* Updating tests : stocks/comparison_analysis/controller

* Updating tests : stocks/comparison_analysis/polygon

* Updating tests : stocks/comparison_analysis/controller

* Updating tests : stocks/comparison_analysis/controller
This commit is contained in:
Chavithra
2021-12-25 17:56:49 +01:00
committed by GitHub
parent f3838d7581
commit 9a7bde9eea
70 changed files with 27608 additions and 2 deletions

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,TSLA
2021-12-07,0.068
2021-12-08,0.333
2021-12-09,0.15
2021-12-10,0.05
2021-12-13,0.135
2021-12-14,0.03
2021-12-15,-0.073
2021-12-16,0.049
2021-12-17,-0.14
2021-12-20,0.169
1 TSLA
2 2021-12-07 0.068
3 2021-12-08 0.333
4 2021-12-09 0.15
5 2021-12-10 0.05
6 2021-12-13 0.135
7 2021-12-14 0.03
8 2021-12-15 -0.073
9 2021-12-16 0.049
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11 2021-12-20 0.169

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,Ticker,Market Cap,Dividend,ROA,ROE,ROI,Curr R,Quick R,LTDebt/Eq,Debt/Eq,Gross M,Oper M,Profit M,Earnings,Price,Change,Volume
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1 Ticker Market Cap Dividend ROA ROE ROI Curr R Quick R LTDebt/Eq Debt/Eq Gross M Oper M Profit M Earnings Price Change Volume
2 0 GM 84770000000.0 0.046 0.22 0.031 1.1 0.9 1.37 2.01 0.14300000000000002 0.081 0.084 Oct 27/b 53.88 -0.0232 10394462.0

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,Ticker,Company,Sector,Industry,Country,Market Cap,P/E,Price,Change,Volume
0,GM,General Motors Company,Consumer Cyclical,Auto Manufacturers,USA,84770000000.0,7.37,53.88,-0.0232,10394462.0
1 Ticker Company Sector Industry Country Market Cap P/E Price Change Volume
2 0 GM General Motors Company Consumer Cyclical Auto Manufacturers USA 84770000000.0 7.37 53.88 -0.0232 10394462.0

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,Ticker,Company,Sector,Industry,Country,Market Cap,P/E,Price,Change,Volume
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2 0 GM 1.19 2.48 -0.1038 -0.0888 -0.0518 -0.1734 0.3456 36.12 53.88 -0.0232 -0.0019 -0.021400000000000002 10394462.0

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,Ticker,Market Cap,P/E,Fwd P/E,PEG,P/S,P/B,P/C,P/FCF,EPS this Y,EPS next Y,EPS past 5Y,EPS next 5Y,Sales past 5Y,Price,Change,Volume
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Item,TSLA,GM
Sales/Revenue,31.54B,122.49B
Sales Growth,28.31%,-10.75%
Cost of Goods Sold (COGS) incl. D&A,24.91B,101.91B
COGS Growth,21.44%,-12.16%
COGS excluding D&A,22.58B,89.24B
Depreciation & Amortization Expense,2.32B,12.68B
Depreciation,-,12.53B
Amortization of Intangibles,-,144M
Gross Income,6.63B,20.57B
Gross Income Growth,62.94%,-3.02%
Gross Profit Margin,21.02%,16.80%
SG&A Expense,4.64B,13.24B
SGA Growth,16.22%,-13.43%
Research & Development,1.49B,6.2B
Other SG&A,3.15B,7.04B
Other Operating Expense,-,-
Unusual Expense,36M,296M
EBIT after Unusual Expense,1.96B,7.04B
Non Operating Income/Expense,(86M),1.24B
Non-Operating Interest Income,30M,241M
Equity in Affiliates (Pretax),-,674M
Interest Expense,748M,1.1B
Interest Expense Growth,9.20%,40.41%
Gross Interest Expense,796M,1.1B
Interest Capitalized,48M,-
Pretax Income,1.15B,8.1B
Pretax Income Growth,273.53%,8.86%
Pretax Margin,3.66%,6.61%
Income Tax,292M,1.77B
Income Tax - Current Domestic,4M,356M
Income Tax - Current Foreign,248M,493M
Income Tax - Deferred Domestic,-,617M
Income Tax - Deferred Foreign,40M,308M
Income Tax Credits,-,-
Equity in Affiliates,-,-
Other After Tax Income (Expense),(31M),-
Consolidated Net Income,831M,6.32B
Minority Interest Expense,141M,(106M)
Net Income,690M,6.43B
Net Income Growth,179.31%,-4.53%
Net Margin Growth,2.19%,5.25%
Extraordinaries & Discontinued Operations,-,-
Extra Items & Gain/Loss Sale Of Assets,-,-
Cumulative Effect - Accounting Chg,-,-
Discontinued Operations,-,-
Net Income After Extraordinaries,690M,6.43B
Preferred Dividends,-,180M
Net Income Available to Common,690M,6.25B
EPS (Basic),0.74,4.36
EPS (Basic) Growth,175.41%,-5.67%
Basic Shares Outstanding,933M,1.43B
EPS (Diluted),0.64,4.33
EPS (Diluted) Growth,164.96%,-5.27%
Diluted Shares Outstanding,1.08B,1.44B
EBITDA,4.32B,20.01B
EBITDA Growth,93.20%,0.15%
EBITDA Margin,13.69%,16.34%
1 Item TSLA GM
2 Sales/Revenue 31.54B 122.49B
3 Sales Growth 28.31% -10.75%
4 Cost of Goods Sold (COGS) incl. D&A 24.91B 101.91B
5 COGS Growth 21.44% -12.16%
6 COGS excluding D&A 22.58B 89.24B
7 Depreciation & Amortization Expense 2.32B 12.68B
8 Depreciation - 12.53B
9 Amortization of Intangibles - 144M
10 Gross Income 6.63B 20.57B
11 Gross Income Growth 62.94% -3.02%
12 Gross Profit Margin 21.02% 16.80%
13 SG&A Expense 4.64B 13.24B
14 SGA Growth 16.22% -13.43%
15 Research & Development 1.49B 6.2B
16 Other SG&A 3.15B 7.04B
17 Other Operating Expense - -
18 Unusual Expense 36M 296M
19 EBIT after Unusual Expense 1.96B 7.04B
20 Non Operating Income/Expense (86M) 1.24B
21 Non-Operating Interest Income 30M 241M
22 Equity in Affiliates (Pretax) - 674M
23 Interest Expense 748M 1.1B
24 Interest Expense Growth 9.20% 40.41%
25 Gross Interest Expense 796M 1.1B
26 Interest Capitalized 48M -
27 Pretax Income 1.15B 8.1B
28 Pretax Income Growth 273.53% 8.86%
29 Pretax Margin 3.66% 6.61%
30 Income Tax 292M 1.77B
31 Income Tax - Current Domestic 4M 356M
32 Income Tax - Current Foreign 248M 493M
33 Income Tax - Deferred Domestic - 617M
34 Income Tax - Deferred Foreign 40M 308M
35 Income Tax Credits - -
36 Equity in Affiliates - -
37 Other After Tax Income (Expense) (31M) -
38 Consolidated Net Income 831M 6.32B
39 Minority Interest Expense 141M (106M)
40 Net Income 690M 6.43B
41 Net Income Growth 179.31% -4.53%
42 Net Margin Growth 2.19% 5.25%
43 Extraordinaries & Discontinued Operations - -
44 Extra Items & Gain/Loss Sale Of Assets - -
45 Cumulative Effect - Accounting Chg - -
46 Discontinued Operations - -
47 Net Income After Extraordinaries 690M 6.43B
48 Preferred Dividends - 180M
49 Net Income Available to Common 690M 6.25B
50 EPS (Basic) 0.74 4.36
51 EPS (Basic) Growth 175.41% -5.67%
52 Basic Shares Outstanding 933M 1.43B
53 EPS (Diluted) 0.64 4.33
54 EPS (Diluted) Growth 164.96% -5.27%
55 Diluted Shares Outstanding 1.08B 1.44B
56 EBITDA 4.32B 20.01B
57 EBITDA Growth 93.20% 0.15%
58 EBITDA Margin 13.69% 16.34%

View File

@@ -0,0 +1,60 @@
,31-Dec-2020,31-Dec-2020
,TSLA,GM
Item,,
Sales/Revenue,10.74B,37.52B
Sales Growth,22.49%,5.74%
Cost of Goods Sold (COGS) incl. D&A,8.68B,32.52B
COGS Growth,29.37%,10.89%
COGS excluding D&A,8.06B,29.46B
Depreciation & Amortization Expense,618M,3.06B
Depreciation,-,-
Amortization of Intangibles,-,-
Gross Income,2.07B,5B
Gross Income Growth,0.15%,-18.77%
Gross Profit Margin,-,-
SG&A Expense,1.49B,2.13B
SGA Growth,18.90%,30.84%
Research & Development,522M,-
Other SG&A,969M,2.13B
Other Operating Expense,-,-
Unusual Expense,(5M),(521M)
EBIT after Unusual Expense,5M,521M
Non Operating Income/Expense,39M,(5M)
Non-Operating Interest Income,6M,46M
Equity in Affiliates (Pretax),-,285M
Interest Expense,246M,275M
Interest Expense Growth,50.92%,-15.90%
Gross Interest Expense,261M,275M
Interest Capitalized,15M,-
Pretax Income,379M,3.44B
Pretax Income Growth,-31.71%,-29.89%
Pretax Margin,-,-
Income Tax,83M,642M
Income Tax - Current Domestic,-,-
Income Tax - Current Foreign,-,-
Income Tax - Deferred Domestic,-,-
Income Tax - Deferred Foreign,-,-
Income Tax Credits,-,-
Equity in Affiliates,-,-
Other After Tax Income (Expense),-,-
Consolidated Net Income,296M,2.8B
Minority Interest Expense,26M,(49M)
Net Income,270M,2.85B
Net Income Growth,-10.00%,-29.64%
Net Margin Growth,-,-
Extraordinaries & Discontinued Operations,-,-
Extra Items & Gain/Loss Sale Of Assets,-,-
Cumulative Effect - Accounting Chg,-,-
Discontinued Operations,-,-
Net Income After Extraordinaries,270M,2.85B
Preferred Dividends,-,45M
Net Income Available to Common,270M,2.8B
EPS (Basic),0.28,1.95
EPS (Basic) Growth,-12.18%,-30.26%
Basic Shares Outstanding,960M,1.44B
EPS (Diluted),0.24,1.93
EPS (Diluted) Growth,-11.42%,-30.64%
Diluted Shares Outstanding,1.12B,1.45B
EBITDA,1.19B,5.93B
EBITDA Growth,-14.36%,-22.82%
EBITDA Margin,-,-
1 31-Dec-2020 31-Dec-2020
2 TSLA GM
3 Item
4 Sales/Revenue 10.74B 37.52B
5 Sales Growth 22.49% 5.74%
6 Cost of Goods Sold (COGS) incl. D&A 8.68B 32.52B
7 COGS Growth 29.37% 10.89%
8 COGS excluding D&A 8.06B 29.46B
9 Depreciation & Amortization Expense 618M 3.06B
10 Depreciation - -
11 Amortization of Intangibles - -
12 Gross Income 2.07B 5B
13 Gross Income Growth 0.15% -18.77%
14 Gross Profit Margin - -
15 SG&A Expense 1.49B 2.13B
16 SGA Growth 18.90% 30.84%
17 Research & Development 522M -
18 Other SG&A 969M 2.13B
19 Other Operating Expense - -
20 Unusual Expense (5M) (521M)
21 EBIT after Unusual Expense 5M 521M
22 Non Operating Income/Expense 39M (5M)
23 Non-Operating Interest Income 6M 46M
24 Equity in Affiliates (Pretax) - 285M
25 Interest Expense 246M 275M
26 Interest Expense Growth 50.92% -15.90%
27 Gross Interest Expense 261M 275M
28 Interest Capitalized 15M -
29 Pretax Income 379M 3.44B
30 Pretax Income Growth -31.71% -29.89%
31 Pretax Margin - -
32 Income Tax 83M 642M
33 Income Tax - Current Domestic - -
34 Income Tax - Current Foreign - -
35 Income Tax - Deferred Domestic - -
36 Income Tax - Deferred Foreign - -
37 Income Tax Credits - -
38 Equity in Affiliates - -
39 Other After Tax Income (Expense) - -
40 Consolidated Net Income 296M 2.8B
41 Minority Interest Expense 26M (49M)
42 Net Income 270M 2.85B
43 Net Income Growth -10.00% -29.64%
44 Net Margin Growth - -
45 Extraordinaries & Discontinued Operations - -
46 Extra Items & Gain/Loss Sale Of Assets - -
47 Cumulative Effect - Accounting Chg - -
48 Discontinued Operations - -
49 Net Income After Extraordinaries 270M 2.85B
50 Preferred Dividends - 45M
51 Net Income Available to Common 270M 2.8B
52 EPS (Basic) 0.28 1.95
53 EPS (Basic) Growth -12.18% -30.26%
54 Basic Shares Outstanding 960M 1.44B
55 EPS (Diluted) 0.24 1.93
56 EPS (Diluted) Growth -11.42% -30.64%
57 Diluted Shares Outstanding 1.12B 1.45B
58 EBITDA 1.19B 5.93B
59 EBITDA Growth -14.36% -22.82%
60 EBITDA Margin - -

View File

@@ -0,0 +1,254 @@
Date,TSLA,GM
2020-12-21,666.239990234375,40.2599983215332
2020-12-22,648.0,41.349998474121094
2020-12-23,632.2000122070312,41.18000030517578
2020-12-24,642.989990234375,42.060001373291016
2020-12-28,674.510009765625,42.0
2020-12-29,661.0,41.88999938964844
2020-12-30,672.0,41.650001525878906
2020-12-31,699.989990234375,41.7599983215332
2021-01-04,719.4600219726562,41.95000076293945
2021-01-05,723.6599731445312,40.060001373291016
2021-01-06,758.489990234375,41.91999816894531
2021-01-07,777.6300048828125,43.97999954223633
2021-01-08,856.0,43.310001373291016
2021-01-11,849.4000244140625,43.02000045776367
2021-01-12,831.0,46.29999923706055
2021-01-13,852.760009765625,50.779998779296875
2021-01-14,843.3900146484375,49.5
2021-01-15,852.0,51.29999923706055
2021-01-19,837.7999877929688,53.689998626708984
2021-01-20,858.739990234375,56.22999954223633
2021-01-21,855.0,56.33000183105469
2021-01-22,834.3099975585938,54.5
2021-01-25,855.0,54.95000076293945
2021-01-26,891.3800048828125,53.38999938964844
2021-01-27,870.3499755859375,50.79999923706055
2021-01-28,820.0,49.880001068115234
2021-01-29,830.0,50.70000076293945
2021-02-01,814.2899780273438,51.459999084472656
2021-02-02,844.6799926757812,52.29999923706055
2021-02-03,877.02001953125,53.29999923706055
2021-02-04,855.0,53.34000015258789
2021-02-05,845.0,54.81999969482422
2021-02-08,869.6699829101562,56.0
2021-02-09,855.1199951171875,56.540000915527344
2021-02-10,843.6400146484375,55.61000061035156
2021-02-11,812.4400024414062,53.61000061035156
2021-02-12,801.260009765625,53.0
2021-02-16,818.0,53.709999084472656
2021-02-17,779.0900268554688,52.84000015258789
2021-02-18,780.9000244140625,52.560001373291016
2021-02-19,795.0,52.5
2021-02-22,762.6400146484375,52.0
2021-02-23,662.1300048828125,51.0
2021-02-24,711.8499755859375,51.95000076293945
2021-02-25,726.1500244140625,52.70000076293945
2021-02-26,700.0,50.869998931884766
2021-03-01,690.1099853515625,52.40999984741211
2021-03-02,718.280029296875,52.599998474121094
2021-03-03,687.989990234375,54.5
2021-03-04,655.7999877929688,52.9900016784668
2021-03-05,626.0599975585938,52.59000015258789
2021-03-08,600.5499877929688,54.290000915527344
2021-03-09,608.1799926757812,55.36000061035156
2021-03-10,700.2999877929688,55.0
2021-03-11,699.4000244140625,56.869998931884766
2021-03-12,670.0,56.0
2021-03-15,694.0900268554688,59.310001373291016
2021-03-16,703.3499755859375,58.36000061035156
2021-03-17,656.8699951171875,57.2400016784668
2021-03-18,684.2899780273438,60.060001373291016
2021-03-19,646.5999755859375,59.34000015258789
2021-03-22,684.5900268554688,58.75
2021-03-23,675.77001953125,56.9900016784668
2021-03-24,667.9099731445312,56.68000030517578
2021-03-25,613.0,54.599998474121094
2021-03-26,641.8699951171875,57.0099983215332
2021-03-29,615.6400146484375,56.08000183105469
2021-03-30,601.75,56.599998474121094
2021-03-31,646.6199951171875,58.279998779296875
2021-04-01,688.3699951171875,57.91999816894531
2021-04-05,707.7100219726562,59.0
2021-04-06,690.2999877929688,60.5
2021-04-07,687.0,61.86000061035156
2021-04-08,677.3800048828125,60.36000061035156
2021-04-09,677.77001953125,59.560001373291016
2021-04-12,685.7000122070312,60.20000076293945
2021-04-13,712.7000122070312,59.22999954223633
2021-04-14,770.7000122070312,58.59000015258789
2021-04-15,743.0999755859375,59.45000076293945
2021-04-16,728.6500244140625,59.0099983215332
2021-04-19,719.5999755859375,58.56999969482422
2021-04-20,717.4199829101562,57.119998931884766
2021-04-21,704.77001953125,55.279998779296875
2021-04-22,741.5,57.540000915527344
2021-04-23,719.7999877929688,56.77000045776367
2021-04-26,741.0,57.86000061035156
2021-04-27,717.9600219726562,58.27000045776367
2021-04-28,696.4099731445312,59.0
2021-04-29,699.510009765625,57.7400016784668
2021-04-30,667.5900268554688,56.18000030517578
2021-05-03,703.7999877929688,57.599998474121094
2021-05-04,678.9400024414062,56.54999923706055
2021-05-05,681.0599975585938,57.09000015258789
2021-05-06,680.760009765625,57.43000030517578
2021-05-07,665.7999877929688,58.0
2021-05-10,664.9000244140625,59.0
2021-05-11,599.239990234375,56.150001525878906
2021-05-12,602.489990234375,55.540000915527344
2021-05-13,601.5399780273438,54.43000030517578
2021-05-14,583.4099731445312,55.119998931884766
2021-05-17,575.5499877929688,55.84000015258789
2021-05-18,568.0,56.22999954223633
2021-05-19,552.5499877929688,55.0
2021-05-20,575.0,55.91999816894531
2021-05-21,596.1099853515625,56.0099983215332
2021-05-24,581.5999755859375,57.04999923706055
2021-05-25,607.3099975585938,56.869998931884766
2021-05-26,607.5599975585938,56.970001220703125
2021-05-27,620.239990234375,60.0
2021-05-28,628.5,59.880001068115234
2021-06-01,627.7999877929688,59.9900016784668
2021-06-02,620.1300048828125,60.2599983215332
2021-06-03,601.7999877929688,61.56999969482422
2021-06-04,579.7100219726562,63.56999969482422
2021-06-07,591.8300170898438,63.97999954223633
2021-06-08,623.010009765625,63.02000045776367
2021-06-09,602.1699829101562,63.95000076293945
2021-06-10,603.8800048828125,62.83000183105469
2021-06-11,610.22998046875,61.36000061035156
2021-06-14,612.22998046875,61.470001220703125
2021-06-15,616.6900024414062,60.68000030517578
2021-06-16,597.5399780273438,62.459999084472656
2021-06-17,601.8900146484375,61.81999969482422
2021-06-18,613.3699951171875,59.279998779296875
2021-06-21,624.47998046875,59.75
2021-06-22,618.25,59.540000915527344
2021-06-23,632.0,59.849998474121094
2021-06-24,674.989990234375,60.38999938964844
2021-06-25,689.5800170898438,60.290000915527344
2021-06-28,671.6400146484375,60.310001373291016
2021-06-29,684.6500244140625,59.20000076293945
2021-06-30,679.77001953125,58.7400016784668
2021-07-01,683.9199829101562,59.439998626708984
2021-07-02,678.97998046875,59.11000061035156
2021-07-06,681.7100219726562,58.91999816894531
2021-07-07,664.27001953125,57.34000015258789
2021-07-08,628.3699951171875,55.29999923706055
2021-07-09,653.1799926757812,58.79999923706055
2021-07-12,662.2000122070312,58.560001373291016
2021-07-13,686.3200073242188,59.040000915527344
2021-07-14,670.75,58.88999938964844
2021-07-15,658.3900146484375,57.119998931884766
2021-07-16,654.6799926757812,57.47999954223633
2021-07-19,629.8900146484375,53.900001525878906
2021-07-20,651.989990234375,54.2599983215332
2021-07-21,659.6099853515625,56.79999923706055
2021-07-22,656.4400024414062,56.75
2021-07-23,646.3599853515625,55.310001373291016
2021-07-26,650.969970703125,55.2400016784668
2021-07-27,663.4000244140625,55.209999084472656
2021-07-28,647.0,55.41999816894531
2021-07-29,649.7899780273438,57.0
2021-07-30,671.760009765625,56.720001220703125
2021-08-02,700.0,57.369998931884766
2021-08-03,719.0,57.470001220703125
2021-08-04,711.0,55.22999954223633
2021-08-05,716.0,53.86000061035156
2021-08-06,711.9000244140625,54.810001373291016
2021-08-09,710.1699829101562,54.27000045776367
2021-08-10,713.989990234375,54.0
2021-08-11,712.7100219726562,54.41999816894531
2021-08-12,706.3400268554688,54.439998626708984
2021-08-13,723.7100219726562,54.560001373291016
2021-08-16,705.0700073242188,53.0099983215332
2021-08-17,672.6599731445312,51.97999954223633
2021-08-18,669.75,50.529998779296875
2021-08-19,678.2100219726562,50.0
2021-08-20,682.8499755859375,48.959999084472656
2021-08-23,685.4400024414062,48.15999984741211
2021-08-24,710.6799926757812,48.5
2021-08-25,707.030029296875,49.4900016784668
2021-08-26,708.3099975585938,49.470001220703125
2021-08-27,705.0,48.75
2021-08-30,714.719970703125,49.95000076293945
2021-08-31,733.0,49.16999816894531
2021-09-01,734.0800170898438,49.099998474121094
2021-09-02,734.5,49.150001525878906
2021-09-03,732.25,48.79999923706055
2021-09-07,740.0,48.4900016784668
2021-09-08,761.5800170898438,48.63999938964844
2021-09-09,753.4099731445312,48.95000076293945
2021-09-10,759.5999755859375,48.689998626708984
2021-09-13,740.2100219726562,50.11000061035156
2021-09-14,742.5700073242188,51.220001220703125
2021-09-15,745.0,50.790000915527344
2021-09-16,752.8300170898438,51.59000015258789
2021-09-17,757.1500244140625,51.33000183105469
2021-09-20,734.5599975585938,49.45000076293945
2021-09-21,734.7899780273438,49.56999969482422
2021-09-22,743.530029296875,50.029998779296875
2021-09-23,755.0,51.099998474121094
2021-09-24,745.8900146484375,51.880001068115234
2021-09-27,773.1199951171875,52.40999984741211
2021-09-28,787.2000122070312,53.77000045776367
2021-09-29,779.7999877929688,53.29999923706055
2021-09-30,781.0,52.93000030517578
2021-10-01,778.4000244140625,53.029998779296875
2021-10-04,796.5,54.900001525878906
2021-10-05,784.7999877929688,54.189998626708984
2021-10-06,776.2000122070312,54.4900016784668
2021-10-07,785.4600219726562,54.849998474121094
2021-10-08,796.2100219726562,56.540000915527344
2021-10-11,787.6500244140625,58.790000915527344
2021-10-12,800.9299926757812,58.52000045776367
2021-10-13,810.469970703125,58.939998626708984
2021-10-14,815.489990234375,58.099998474121094
2021-10-15,823.739990234375,58.34000015258789
2021-10-18,851.7899780273438,57.40999984741211
2021-10-19,877.530029296875,57.0
2021-10-20,865.3499755859375,56.36000061035156
2021-10-21,856.0,58.0
2021-10-22,895.5,58.369998931884766
2021-10-25,950.530029296875,58.04999923706055
2021-10-26,1024.68994140625,58.02000045776367
2021-10-27,1039.6600341796875,55.599998474121094
2021-10-28,1068.31005859375,54.599998474121094
2021-10-29,1081.8599853515625,53.900001525878906
2021-11-01,1145.0,54.849998474121094
2021-11-02,1159.3599853515625,55.029998779296875
2021-11-03,1177.3299560546875,55.2599983215332
2021-11-04,1234.4100341796875,56.470001220703125
2021-11-05,1228.0,59.150001525878906
2021-11-08,1149.7900390625,58.7599983215332
2021-11-09,1173.5999755859375,59.810001373291016
2021-11-10,1010.4099731445312,57.849998474121094
2021-11-11,1102.77001953125,59.81999969482422
2021-11-12,1047.5,61.59000015258789
2021-11-15,1017.6300048828125,63.65999984741211
2021-11-16,1003.3099975585938,63.2400016784668
2021-11-17,1063.510009765625,63.33000183105469
2021-11-18,1106.550048828125,64.33000183105469
2021-11-19,1098.8699951171875,62.47999954223633
2021-11-22,1162.3299560546875,61.95000076293945
2021-11-23,1167.510009765625,63.72999954223633
2021-11-24,1080.3900146484375,62.29999923706055
2021-11-26,1099.469970703125,59.79999923706055
2021-11-29,1100.989990234375,61.11000061035156
2021-11-30,1144.3699951171875,59.20000076293945
2021-12-01,1160.699951171875,59.25
2021-12-02,1099.06005859375,58.75
2021-12-03,1084.7900390625,61.2400016784668
2021-12-06,1001.510009765625,60.470001220703125
2021-12-07,1044.199951171875,60.90999984741211
2021-12-08,1052.7099609375,61.650001525878906
2021-12-09,1060.6400146484375,60.380001068115234
2021-12-10,1008.75,60.099998474121094
2021-12-13,1001.0900268554688,62.06999969482422
2021-12-14,945.0,57.970001220703125
2021-12-15,953.2100219726562,58.29999923706055
2021-12-16,994.5,59.400001525878906
2021-12-17,914.77001953125,56.20000076293945
2021-12-20,910.7000122070312,54.02000045776367
2021-12-21,916.8699951171875,54.5
1 Date TSLA GM
2 2020-12-21 666.239990234375 40.2599983215332
3 2020-12-22 648.0 41.349998474121094
4 2020-12-23 632.2000122070312 41.18000030517578
5 2020-12-24 642.989990234375 42.060001373291016
6 2020-12-28 674.510009765625 42.0
7 2020-12-29 661.0 41.88999938964844
8 2020-12-30 672.0 41.650001525878906
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@@ -0,0 +1 @@
[["TSLA", "RIVN", "GM", "F", "LCID", "THO", "FSR", "WGO", "GOEV", "FFIE"], "Finnhub"]

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@@ -0,0 +1 @@
[["ARVL", "AYRO", "BLBD", "ELMS", "F", "FFIE", "FSR", "GM", "GOEV", "GP", "HMC", "HYZN", "KNDI", "LCID", "LI", "MULN", "NIO", "NIU", "NKLA", "PTRA", "RACE", "RIDE", "RIVN", "SEV", "SOLO", "STLA", "TM", "TSLA", "TTM", "VEV", "VLCN", "WKHS", "XPEV"], "Finviz"]

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@@ -0,0 +1 @@
[["HMC", "TM", "F", "GM"], "Polygon"]

View File

@@ -0,0 +1 @@
["EW", "ETR", "ETN", "ESS", "EQR", "EQIX", "EPAM", "EOG", "ENPH", "EMR"]

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@@ -0,0 +1,558 @@
# IMPORTATION STANDARD
import os
# IMPORTATION THIRDPARTY
import pandas as pd
import pytest
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.comparison_analysis import ca_controller
# pylint: disable=E1101
# pylint: disable=W0603
DF_EMPTY = pd.DataFrame()
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"from_submenu, queue, expected",
[
(False, ["historical", "help"], []),
(True, ["q", ".."], ["q", ".."]),
],
)
def test_menu_with_queue(expected, from_submenu, mocker, queue):
mocker.patch(
target=(
"gamestonk_terminal.stocks.comparison_analysis.ca_controller."
"ComparisonAnalysisController.switch"
),
return_value=["quit"],
)
result_menu = ca_controller.menu(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
queue=queue,
from_submenu=from_submenu,
)
assert result_menu == expected
@pytest.mark.vcr(record_mode="none")
def test_menu_without_queue_completion(mocker):
# DISABLE AUTO-COMPLETION
mocker.patch.object(
target=ca_controller.gtff,
attribute="USE_PROMPT_TOOLKIT",
new=True,
)
mocker.patch(
target="gamestonk_terminal.stocks.comparison_analysis.ca_controller.session",
)
mocker.patch(
target="gamestonk_terminal.stocks.comparison_analysis.ca_controller.session.prompt",
return_value="quit",
)
result_menu = ca_controller.menu(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
queue=None,
from_submenu=False,
)
assert result_menu == []
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"mock_input",
["quit", " quit", "quit mock"],
)
def test_menu_without_queue_sys_exit(mock_input, mocker):
# DISABLE AUTO-COMPLETION
mocker.patch.object(
target=ca_controller.gtff,
attribute="USE_PROMPT_TOOLKIT",
new=False,
)
mocker.patch(
target="gamestonk_terminal.stocks.comparison_analysis.ca_controller.session",
return_value=None,
)
# MOCK USER INPUT
mocker.patch("builtins.input", return_value=mock_input)
# MOCK SWITCH
class SystemExitSideEffect:
def __init__(self):
self.first_call = True
def __call__(self, *args, **kwargs):
if self.first_call:
self.first_call = False
raise SystemExit()
return ["quit"]
mock_switch = mocker.Mock(side_effect=SystemExitSideEffect())
mocker.patch(
target=(
"gamestonk_terminal.stocks.comparison_analysis.ca_controller."
"ComparisonAnalysisController.switch"
),
new=mock_switch,
)
result_menu = ca_controller.menu(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
queue=None,
from_submenu=False,
)
assert result_menu == []
@pytest.mark.vcr(record_mode="none")
@pytest.mark.record_stdout
def test_print_help():
controller = ca_controller.ComparisonAnalysisController()
controller.print_help()
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"an_input, expected_queue",
[
("", []),
("/help", ["quit", "quit", "help"]),
("help/help", ["help"]),
("q", ["quit"]),
("h", []),
("r", ["quit", "quit", "reset", "stocks", "ca"]),
],
)
def test_switch(an_input, expected_queue):
controller = ca_controller.ComparisonAnalysisController()
queue = controller.switch(an_input=an_input)
assert queue == expected_queue
@pytest.mark.vcr(record_mode="none")
def test_call_cls(mocker):
mocker.patch("os.system")
controller = ca_controller.ComparisonAnalysisController()
controller.call_cls([])
assert controller.queue == []
os.system.assert_called_once_with("cls||clear")
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"func, queue, expected_queue",
[
(
"call_exit",
[],
[
"quit",
"quit",
"quit",
"quit",
],
),
("call_exit", ["help"], ["quit", "quit", "quit", "quit", "help"]),
("call_home", [], ["quit", "quit"]),
("call_help", [], []),
("call_quit", [], ["quit"]),
("call_quit", ["help"], ["quit", "help"]),
(
"call_reset",
[],
["quit", "quit", "reset", "stocks", "ca", "set MOCK_SIMILAR"],
),
(
"call_reset",
["help"],
["quit", "quit", "reset", "stocks", "ca", "set MOCK_SIMILAR", "help"],
),
],
)
def test_call_func_expect_queue(expected_queue, queue, func):
controller = ca_controller.ComparisonAnalysisController(
similar=["MOCK_SIMILAR"],
queue=queue,
)
result = getattr(controller, func)([])
assert result is None
assert controller.queue == expected_queue
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"tested_func, mocked_func, other_args, called_with",
[
(
"call_set",
None,
[
"--similar=MOCK_TICKER_1,MOCK_TICKER_2",
],
None,
),
(
"call_add",
None,
[
"--similar=MOCK_TICKER_1,MOCK_TICKER_2",
],
None,
),
(
"call_rmv",
None,
[
"--similar=MOCK_TICKER_1,MOCK_TICKER_2",
],
None,
),
(
"call_historical",
"yahoo_finance_view.display_historical",
[
"--type=h",
"--no-scale",
"--start=2020-12-01",
"--export=csv",
],
dict(
similar_tickers=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
start="2020-12-01",
candle_type="h",
normalize=True,
export="csv",
),
),
(
"call_hcorr",
"yahoo_finance_view.display_correlation",
[
"--type=h",
"--start=2020-12-01",
],
dict(
similar_tickers=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
start="2020-12-01",
candle_type="h",
),
),
(
"call_volume",
"yahoo_finance_view.display_volume",
[
"--start=2020-12-01",
"--export=csv",
],
dict(
similar_tickers=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
start="2020-12-01",
export="csv",
),
),
(
"call_income",
"marketwatch_view.display_income_comparison",
[
"--quarter",
"--timeframe=MOCK_TIMEFRAME",
],
dict(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
timeframe="MOCK_TIMEFRAME",
quarter=True,
),
),
(
"call_balance",
"marketwatch_view.display_balance_comparison",
[
"--quarter",
"--timeframe=MOCK_TIMEFRAME",
"--export=csv",
],
dict(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
timeframe="MOCK_TIMEFRAME",
quarter=True,
),
),
(
"call_cashflow",
"marketwatch_view.display_cashflow_comparison",
[
"--quarter",
"--timeframe=MOCK_TIMEFRAME",
"--export=csv",
],
dict(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
timeframe="MOCK_TIMEFRAME",
quarter=True,
),
),
(
"call_sentiment",
"finbrain_view.display_sentiment_compare",
[
"--raw",
"--export=csv",
],
dict(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
raw=True,
export="csv",
),
),
(
"call_scorr",
"finbrain_view.display_sentiment_correlation",
[
"--raw",
"--export=csv",
],
dict(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
raw=True,
export="csv",
),
),
(
"call_overview",
"finviz_compare_view.screener",
[
"--export=csv",
],
dict(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
data_type="overview",
export="csv",
),
),
(
"call_valuation",
"finviz_compare_view.screener",
[
"--export=csv",
],
dict(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
data_type="valuation",
export="csv",
),
),
(
"call_financial",
"finviz_compare_view.screener",
[
"--export=csv",
],
dict(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
data_type="financial",
export="csv",
),
),
(
"call_ownership",
"finviz_compare_view.screener",
[
"--export=csv",
],
dict(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
data_type="ownership",
export="csv",
),
),
(
"call_performance",
"finviz_compare_view.screener",
[
"--export=csv",
],
dict(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
data_type="performance",
export="csv",
),
),
(
"call_technical",
"finviz_compare_view.screener",
[
"--export=csv",
],
dict(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
data_type="technical",
export="csv",
),
),
],
)
def test_call_func(tested_func, mocked_func, other_args, called_with, mocker):
if mocked_func:
mock = mocker.Mock()
mocker.patch(
"gamestonk_terminal.stocks.comparison_analysis." + mocked_func,
new=mock,
)
controller = ca_controller.ComparisonAnalysisController(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
)
getattr(controller, tested_func)(other_args=other_args)
if isinstance(called_with, dict):
mock.assert_called_once_with(**called_with)
elif isinstance(called_with, list):
mock.assert_called_once_with(*called_with)
else:
mock.assert_called_once()
else:
controller = ca_controller.ComparisonAnalysisController(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"],
)
getattr(controller, tested_func)(other_args=other_args)
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"func",
[
"call_ticker",
"call_getpoly",
"call_getfinnhub",
"call_getfinviz",
"call_set",
"call_add",
"call_rmv",
"call_historical",
"call_hcorr",
"call_volume",
"call_income",
"call_balance",
"call_cashflow",
"call_sentiment",
"call_scorr",
"call_overview",
"call_valuation",
"call_financial",
"call_ownership",
"call_performance",
"call_technical",
"call_tsne",
],
)
def test_call_func_no_parser(func, mocker):
mocker.patch(
"gamestonk_terminal.stocks.comparison_analysis.ca_controller.parse_known_args_and_warn",
return_value=None,
)
controller = ca_controller.ComparisonAnalysisController(
similar=["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"]
)
func_result = getattr(controller, func)(other_args=list())
assert func_result is None
assert controller.queue == []
getattr(ca_controller, "parse_known_args_and_warn").assert_called_once()
@pytest.mark.vcr(record_mode="none")
def test_call_ticker(mocker):
similar = ["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"]
mock = mocker.Mock(return_value=pd.DataFrame())
target = "yfinance.download"
mocker.patch(target=target, new=mock)
controller = ca_controller.ComparisonAnalysisController(similar=similar)
controller.call_ticker(other_args=["MOCK_TICKER"])
mock.assert_called_once_with("MOCK_TICKER", progress=False)
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"tested_func, mocked_func, other_args",
[
(
"call_getfinviz",
"finviz_compare_model.get_similar_companies",
["--nocountry"],
),
(
"call_getpoly",
"polygon_model.get_similar_companies",
["--us_only"],
),
(
"call_getfinnhub",
"finnhub_model.get_similar_companies",
[],
),
],
)
def test_func_calling_get_similar_companies(
tested_func, mocked_func, other_args, mocker
):
similar = ["MOCK_SIMILAR_" + str(i) for i in range(11)]
user = "MOCK_USER"
mock = mocker.Mock(return_value=(similar, user))
target = "gamestonk_terminal.stocks.comparison_analysis." + mocked_func
mocker.patch(target=target, new=mock)
controller = ca_controller.ComparisonAnalysisController(similar=["MOCK_SIMILAR"])
getattr(controller, tested_func)(other_args=other_args)
mock.assert_called_once()
@pytest.mark.vcr(record_mode="none")
def test_call_po(mocker):
similar = ["MOCK_SIMILAR_1", "MOCK_SIMILAR_2"]
mock = mocker.Mock(return_value=["MOCK_SIMILAR", "MOCK_USER"])
target = "gamestonk_terminal.portfolio.portfolio_optimization.po_controller.menu"
mocker.patch(target=target, new=mock)
controller = ca_controller.ComparisonAnalysisController(similar=similar)
controller.call_po([])
mock.assert_called_once_with(similar, [], from_submenu=True)
controller = ca_controller.ComparisonAnalysisController()
controller.call_po([])
assert controller.queue == []
@pytest.mark.vcr(record_mode="none")
def test_call_tsne(mocker):
similar = ["MOCK_SIMILAR"]
mock = mocker.Mock(return_value=["MOCK_SIMILAR", "MOCK_USER"])
target = "gamestonk_terminal.stocks.comparison_analysis.yahoo_finance_model.get_sp500_comps_tsne"
mocker.patch(target=target, new=mock)
controller = ca_controller.ComparisonAnalysisController(similar=similar)
controller.call_tsne(
other_args=[
"--learnrate=100",
"--limit=5",
"--no_plot",
]
)
mock.assert_called_once_with(
"MOCK_SIMILAR",
lr=100,
no_plot=True,
num_tickers=5,
)

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@@ -0,0 +1,14 @@
# IMPORTATION STANDARD
# IMPORTATION THIRDPARTY
import pytest
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.comparison_analysis import finbrain_model
@pytest.mark.vcr
def test_get_sentiments(recorder):
result_df = finbrain_model.get_sentiments(tickers=["TSLA"])
recorder.capture(result_df)

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# IMPORTATION STANDARD
# IMPORTATION THIRDPARTY
import pytest
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.comparison_analysis import finbrain_view
@pytest.mark.default_cassette("test_display_sentiment_compare")
@pytest.mark.vcr
@pytest.mark.record_stdout
@pytest.mark.parametrize(
"raw",
[True, False],
)
def test_display_sentiment_compare(raw, mocker):
mocker.patch.object(target=finbrain_view.gtff, attribute="USE_ION", new=False)
mocker.patch("matplotlib.pyplot.show")
finbrain_view.display_sentiment_compare(
similar=["TSLA", "GM"],
raw=raw,
export="",
)
@pytest.mark.default_cassette("test_display_sentiment_correlation")
@pytest.mark.vcr
@pytest.mark.record_stdout
@pytest.mark.parametrize(
"raw",
[True, False],
)
def test_display_sentiment_correlation(raw, mocker):
mocker.patch.object(target=finbrain_view.gtff, attribute="USE_ION", new=False)
mocker.patch("matplotlib.pyplot.show")
finbrain_view.display_sentiment_correlation(
similar=["TSLA", "GM"],
raw=raw,
export="",
)

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@@ -0,0 +1,34 @@
# IMPORTATION STANDARD
# IMPORTATION THIRDPARTY
import pytest
import requests
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.comparison_analysis import finnhub_model
@pytest.fixture(scope="module")
def vcr_config():
return {
"filter_query_parameters": [
("token", "MOCK_TOKEN"),
],
}
@pytest.mark.vcr
def test_get_similar_companies(recorder):
result_tuple = finnhub_model.get_similar_companies(ticker="TSLA")
recorder.capture(result_tuple)
@pytest.mark.vcr(record_mode="none")
def test_get_similar_companies_invalid_status(mocker, recorder):
mock_response = requests.Response()
mock_response.status_code = 400
mocker.patch(target="requests.get", new=mocker.Mock(return_value=mock_response))
result_tuple = finnhub_model.get_similar_companies(ticker="TSLA")
recorder.capture(result_tuple)

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# IMPORTATION STANDARD
# IMPORTATION THIRDPARTY
import pytest
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.comparison_analysis import finviz_compare_model
@pytest.mark.vcr
@pytest.mark.parametrize(
"compare_list",
[
["Industry"],
["MOCK_INVALID_COMPARE_LIST"],
],
)
def test_get_similar_companies(compare_list, recorder):
result_tuple = finviz_compare_model.get_similar_companies(
ticker="TSLA",
compare_list=compare_list,
)
recorder.capture(result_tuple)
@pytest.mark.vcr
@pytest.mark.parametrize(
"data_type",
[
"overview",
"valuation",
"financial",
"ownership",
"overview",
"performance",
"technical",
"MOCK_INVALID_DATA_TYPE",
],
)
def test_get_comparison_data(data_type, recorder):
result_df = finviz_compare_model.get_comparison_data(
data_type=data_type,
similar=["TESLA", "GM"],
)
recorder.capture(result_df)

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@@ -0,0 +1,39 @@
# IMPORTATION STANDARD
# IMPORTATION THIRDPARTY
import pandas as pd
import pytest
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.comparison_analysis import finviz_compare_view
@pytest.mark.default_cassette("test_screener")
@pytest.mark.vcr
@pytest.mark.record_stdout
@pytest.mark.parametrize(
"tab",
[True, False],
)
def test_screener(mocker, tab):
mocker.patch.object(
target=finviz_compare_view.gtff, attribute="USE_TABULATE_DF", new=tab
)
finviz_compare_view.screener(
similar=["TSLA", "GM"],
data_type="overview",
export="",
)
@pytest.mark.vcr(record_mode="none")
@pytest.mark.record_stdout
def test_screener_empty(mocker):
target = "gamestonk_terminal.stocks.comparison_analysis.finviz_compare_model.get_comparison_data"
mocker.patch(target=target, return_value=pd.DataFrame())
finviz_compare_view.screener(
similar=["TSLA", "GM"],
data_type="overview",
export="",
)

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@@ -0,0 +1,33 @@
# IMPORTATION STANDARD
# IMPORTATION THIRDPARTY
import pytest
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.comparison_analysis import marketwatch_model
@pytest.fixture(scope="module")
def vcr_config():
return {
"filter_headers": [("User-Agent", None)],
}
@pytest.mark.vcr
@pytest.mark.parametrize(
"timeframe, quarter",
[
("31-Dec-2020", True),
("2020", False),
],
)
def test_get_financial_comparisons(quarter, timeframe, recorder):
result_df = marketwatch_model.get_financial_comparisons(
all_stocks=["TSLA", "GM"],
data="income",
timeframe=timeframe,
quarter=quarter,
)
recorder.capture(result_df)

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# IMPORTATION STANDARD
# IMPORTATION THIRDPARTY
import pytest
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.comparison_analysis import marketwatch_view
@pytest.fixture(scope="module")
def vcr_config():
return {
"filter_headers": [("User-Agent", None)],
}
@pytest.mark.default_cassette("test_display_income_comparison")
@pytest.mark.vcr
@pytest.mark.record_stdout
@pytest.mark.parametrize(
"tab",
[True, False],
)
def test_display_income_comparison(mocker, tab):
mocker.patch.object(
target=marketwatch_view.gtff,
attribute="USE_COLOR",
new=True,
)
mocker.patch.object(
target=marketwatch_view.gtff, attribute="USE_TABULATE_DF", new=tab
)
marketwatch_view.display_income_comparison(
similar=["TSLA", "GM"],
timeframe="31-Dec-2020",
quarter=True,
export="",
)
@pytest.mark.default_cassette("test_display_balance_comparison")
@pytest.mark.vcr
@pytest.mark.record_stdout
@pytest.mark.parametrize(
"tab",
[True, False],
)
def test_display_balance_comparison(mocker, tab):
mocker.patch.object(
target=marketwatch_view.gtff,
attribute="USE_COLOR",
new=True,
)
mocker.patch.object(
target=marketwatch_view.gtff, attribute="USE_TABULATE_DF", new=tab
)
marketwatch_view.display_balance_comparison(
similar=["TSLA", "GM"],
timeframe="31-Dec-2020",
quarter=True,
export="",
)
@pytest.mark.default_cassette("test_display_cashflow_comparison")
@pytest.mark.vcr
@pytest.mark.record_stdout
@pytest.mark.parametrize(
"tab",
[True, False],
)
def test_display_cashflow_comparison(mocker, tab):
mocker.patch.object(
target=marketwatch_view.gtff,
attribute="USE_COLOR",
new=True,
)
mocker.patch.object(
target=marketwatch_view.gtff, attribute="USE_TABULATE_DF", new=tab
)
marketwatch_view.display_cashflow_comparison(
similar=["TSLA", "GM"],
timeframe="31-Dec-2020",
quarter=True,
export="",
)

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# IMPORTATION STANDARD
# IMPORTATION THIRDPARTY
import pytest
import requests
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.comparison_analysis import polygon_model
@pytest.fixture(scope="module")
def vcr_config():
return {
"filter_query_parameters": [
("apiKey", "MOCK_APIKEY"),
],
}
@pytest.mark.vcr
def test_get_financial_comparisons(recorder):
result_tuple = polygon_model.get_similar_companies(
ticker="TSLA",
us_only=True,
)
recorder.capture(result_tuple)
@pytest.mark.vcr(record_mode="none")
def test_get_similar_companies_invalid_status(mocker, recorder):
mock_response = requests.Response()
mock_response.status_code = 400
# pylint: disable=protected-access
mock_response._content = b"""{"error":"MOCK_ERROR"}"""
mocker.patch(target="requests.get", new=mocker.Mock(return_value=mock_response))
result_tuple = polygon_model.get_similar_companies(
ticker="TSLA",
us_only=True,
)
recorder.capture(result_tuple)

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# IMPORTATION STANDARD
from datetime import datetime
from io import BytesIO
# IMPORTATION THIRDPARTY
import numpy as np
import pandas as pd
import pytest
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.comparison_analysis import yahoo_finance_model
@pytest.fixture(scope="module")
def vcr_config():
return {
"filter_headers": [("User-Agent", None)],
"filter_query_parameters": [
("period1", "1598220000"),
("period2", "1635980400"),
],
}
@pytest.mark.vcr
def test_get_historical(mocker, recorder):
# FORCE SINGLE THREADING
yf_download = yahoo_finance_model.yf.download
def mock_yf_download(*args, **kwargs):
kwargs["threads"] = False
return yf_download(*args, **kwargs)
mocker.patch("yfinance.download", side_effect=mock_yf_download)
result_df = yahoo_finance_model.get_historical(
similar_tickers=["TSLA", "GM"],
start=datetime.strptime("2020-12-21", "%Y-%m-%d"),
candle_type="o",
)
recorder.capture(result_df)
def filter_reduce_csv(response):
"""To reduce cassette size."""
headers = response["headers"]
if (
"Expect-CT" in headers
and isinstance(headers["Expect-CT"], list)
and len(headers["Expect-CT"]) > 0
and "yahoo" in headers["Expect-CT"][0]
):
return response
content = response["body"]["string"]
df = pd.read_csv(filepath_or_buffer=BytesIO(content), index_col=0)
if len(df) > 10:
response["body"]["string"] = df.head(10).to_csv().encode()
return response
@pytest.mark.vcr(before_record_response=filter_reduce_csv)
def test_get_sp500_comps_tsne(mocker, recorder):
# FORCE SINGLE THREADING
yf_download = yahoo_finance_model.yf.download
def mock_yf_download(*args, **kwargs):
kwargs["threads"] = False
return yf_download(*args, **kwargs)
mocker.patch("yfinance.download", side_effect=mock_yf_download)
mocker.patch(
"gamestonk_terminal.stocks.comparison_analysis.yahoo_finance_model.normalize",
side_effect=lambda x: x,
)
mocker.patch("matplotlib.pyplot.show")
mocker.patch(
"sklearn.manifold.TSNE.fit_transform",
side_effect=lambda x: np.full((len(x), 2), 1),
)
result_df = yahoo_finance_model.get_sp500_comps_tsne(
ticker="TOT.TO",
)
recorder.capture(result_df)

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# IMPORTATION STANDARD
from datetime import datetime
# IMPORTATION THIRDPARTY
import pytest
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.comparison_analysis import yahoo_finance_view
@pytest.fixture(scope="module")
def vcr_config():
return {
"filter_headers": [("User-Agent", None)],
"filter_query_parameters": [
("period1", "1598220000"),
("period2", "1635980400"),
],
}
@pytest.mark.vcr
def test_display_historical(mocker):
# FORCE SINGLE THREADING
yf_download = yahoo_finance_view.yahoo_finance_model.yf.download
def mock_yf_download(*args, **kwargs):
kwargs["threads"] = False
return yf_download(*args, **kwargs)
mocker.patch("yfinance.download", side_effect=mock_yf_download)
mock_show = mocker.Mock()
mocker.patch("matplotlib.pyplot.show", new=mock_show)
yahoo_finance_view.display_historical(
similar_tickers=["TSLA", "GM"],
start=datetime.strptime("2020-12-21", "%Y-%m-%d"),
candle_type="o",
normalize=True,
export="",
)
mock_show.assert_called_once()
@pytest.mark.vcr
def test_display_volume(mocker):
# FORCE SINGLE THREADING
yf_download = yahoo_finance_view.yahoo_finance_model.yf.download
def mock_yf_download(*args, **kwargs):
kwargs["threads"] = False
return yf_download(*args, **kwargs)
mocker.patch("yfinance.download", side_effect=mock_yf_download)
mock_show = mocker.Mock()
mocker.patch("matplotlib.pyplot.show", new=mock_show)
yahoo_finance_view.display_volume(
similar_tickers=["TSLA", "GM"],
start=datetime.strptime("2020-12-21", "%Y-%m-%d"),
export="",
)
mock_show.assert_called_once()
@pytest.mark.vcr
def test_display_correlation(mocker):
# FORCE SINGLE THREADING
yf_download = yahoo_finance_view.yahoo_finance_model.yf.download
def mock_yf_download(*args, **kwargs):
kwargs["threads"] = False
return yf_download(*args, **kwargs)
mocker.patch("yfinance.download", side_effect=mock_yf_download)
mock_show = mocker.Mock()
mocker.patch("matplotlib.pyplot.show", new=mock_show)
yahoo_finance_view.display_correlation(
similar_tickers=["TSLA", "GM"],
start=datetime.strptime("2020-12-21", "%Y-%m-%d"),
candle_type="o",
)
mock_show.assert_called_once()

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@@ -0,0 +1,37 @@
ticker set ticker to get similar companies from
Ticker to get similar companies from:
tsne run TSNE on all SP500 stocks and returns closest tickers
getpoly get similar stocks from polygon API
getfinnhub get similar stocks from finnhub API
getfinviz get similar stocks from finviz API
set reset and set similar companies
add add more similar companies
rmv remove similar companies individually or all

Similar Companies:
Yahoo Finance:
historical historical price data comparison
hcorr historical price correlation
volume historical volume data comparison
Market Watch:
income income financials comparison
balance balance financials comparison
cashflow cashflow comparison
Finbrain:
sentiment sentiment analysis comparison
scorr sentiment correlation
Finviz:
overview brief overview comparison
valuation brief valuation comparison
financial brief financial comparison
ownership brief ownership comparison
performance brief performance comparison
technical brief technical comparison
> po portfolio optimization for selected tickers

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╒════════════╤════════╤═══════╕
│ │ TSLA │ GM │
╞════════════╪════════╪═══════╡
│ 2021-12-07 │ 0.068 │ 0.083 │
├────────────┼────────┼───────┤
│ 2021-12-08 │ 0.333 │ 0.051 │
├────────────┼────────┼───────┤
│ 2021-12-09 │ 0.15 │ 0.051 │
├────────────┼────────┼───────┤
│ 2021-12-10 │ 0.05 │ 0.226 │
├────────────┼────────┼───────┤
│ 2021-12-13 │ 0.135 │ 0.263 │
├────────────┼────────┼───────┤
│ 2021-12-14 │ 0.03 │ 0.234 │
├────────────┼────────┼───────┤
│ 2021-12-15 │ -0.073 │ 0.145 │
├────────────┼────────┼───────┤
│ 2021-12-16 │ 0.049 │ 0.297 │
├────────────┼────────┼───────┤
│ 2021-12-17 │ -0.14 │ 0.367 │
├────────────┼────────┼───────┤
│ 2021-12-20 │ 0.169 │ 0.172 │
╘════════════╧════════╧═══════╛

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@@ -0,0 +1,8 @@
╒══════╤═══════════╤═══════════╕
│ │ TSLA │ GM │
╞══════╪═══════════╪═══════════╡
│ TSLA │ 1 │ -0.627696 │
├──────┼───────────┼───────────┤
│ GM │ -0.627696 │ 1 │
╘══════╧═══════════╧═══════════╛

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@@ -0,0 +1,4 @@
Ticker Company Sector Industry Country Market Cap P/E Price Change Volume
0 GM General Motors Company Consumer Cyclical Auto Manufacturers USA 8.477000e+10 7.37 53.94 -0.0222 15640427.0
1 TSLA Tesla, Inc. Consumer Cyclical Auto Manufacturers USA 8.983700e+11 302.59 901.34 -0.0335 15689770.0

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╒══════════╤════════════════════════╤═══════════════════╤════════════════════╤═══════════╤══════════════╤════════╤═════════╤══════════╤═════════════╕
│ Ticker │ Company │ Sector │ Industry │ Country │ Market Cap │ P/E │ Price │ Change │ Volume │
╞══════════╪════════════════════════╪═══════════════════╪════════════════════╪═══════════╪══════════════╪════════╪═════════╪══════════╪═════════════╡
│ GM │ General Motors Company │ Consumer Cyclical │ Auto Manufacturers │ USA │ 8.477e+10 │ 7.37 │ 53.94 │ -0.0222 │ 1.56404e+07 │
├──────────┼────────────────────────┼───────────────────┼────────────────────┼───────────┼──────────────┼────────┼─────────┼──────────┼─────────────┤
│ TSLA │ Tesla, Inc. │ Consumer Cyclical │ Auto Manufacturers │ USA │ 8.9837e+11 │ 302.59 │ 901.34 │ -0.0335 │ 1.56898e+07 │
╘══════════╧════════════════════════╧═══════════════════╧════════════════════╧═══════════╧══════════════╧════════╧═════════╧══════════╧═════════════╛

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No screened data found.

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Other available quarterly timeframes are: 30-Sep-2020, 31-Dec-2020, 31-Mar-2021, 30-Jun-2021, 30-Sep-2021
31-Dec-2020
TSLA GM
Item
Cash & Short Term Investments 19.62B 31.62B
Cash & Short Term Investments Growth  33.44%  -19.59%
Cash Only 19.62B 22.57B
Short-Term Investments - -
Cash & ST Investments / Total Assets  37.63%  13.44%
Total Accounts Receivable 1.89B 34.24B
Total Accounts Receivable Growth  7.34%  -0.74%
Accounts Receivables, Net 1.89B 34.24B
Accounts Receivables, Gross 1.89B 34.47B
Bad Debt/Doubtful Accounts -  (224M)
Other Receivable - -
Accounts Receivable Turnover 5.70 1.10
Inventories 4.1B 10.24B
Finished Goods 1.67B 5.12B
Work in Progress 493M -
Raw Materials 1.94B 5.12B
Progress Payments & Other - -
Other Current Assets 1.11B 4.83B
Miscellaneous Current Assets 1.11B 4.83B
Total Current Assets 26.72B 80.92B
Net Property, Plant & Equipment 23.38B 78.45B
Property, Plant & Equipment - Gross 29.89B 106.27B
Buildings - -
Land & Improvements - -
Computer Software and Equipment 856M -
Other Property, Plant & Equipment - -
Accumulated Depreciation 6.52B 27.82B
Total Investments and Advances 279M 8.95B
Other Long-Term Investments 279M 544M
Long-Term Note Receivables 334M 31.78B
Intangible Assets 520M 5.23B
Net Goodwill 207M 1.91B
Net Other Intangibles 313M 3.32B
Other Assets 923M 5.72B
Total Assets 52.15B 235.19B
Total Assets Growth  14.13%  -1.87%

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Other available quarterly timeframes are: 30-Sep-2020, 31-Dec-2020, 31-Mar-2021, 30-Jun-2021, 30-Sep-2021
╒══════════════════════════════════════╤═══════════════════════════╤═════════════════════════╕
│ │ ('31-Dec-2020', 'TSLA') │ ('31-Dec-2020', 'GM') │
╞══════════════════════════════════════╪═══════════════════════════╪═════════════════════════╡
│ Cash & Short Term Investments │ 19.62B │ 31.62B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Cash & Short Term Investments Growth │ 33.44% │ -19.59% │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Cash Only │ 19.62B │ 22.57B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Short-Term Investments │ - │ - │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Cash & ST Investments / Total Assets │ 37.63% │ 13.44% │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Total Accounts Receivable │ 1.89B │ 34.24B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Total Accounts Receivable Growth │ 7.34% │ -0.74% │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Accounts Receivables, Net │ 1.89B │ 34.24B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Accounts Receivables, Gross │ 1.89B │ 34.47B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Bad Debt/Doubtful Accounts │ - │ (224M) │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Other Receivable │ - │ - │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Accounts Receivable Turnover │ 5.70 │ 1.10 │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Inventories │ 4.1B │ 10.24B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Finished Goods │ 1.67B │ 5.12B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Work in Progress │ 493M │ - │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Raw Materials │ 1.94B │ 5.12B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Progress Payments & Other │ - │ - │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Other Current Assets │ 1.11B │ 4.83B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Miscellaneous Current Assets │ 1.11B │ 4.83B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Total Current Assets │ 26.72B │ 80.92B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Property, Plant & Equipment │ 23.38B │ 78.45B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Property, Plant & Equipment - Gross │ 29.89B │ 106.27B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Buildings │ - │ - │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Land & Improvements │ - │ - │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Computer Software and Equipment │ 856M │ - │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Other Property, Plant & Equipment │ - │ - │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Accumulated Depreciation │ 6.52B │ 27.82B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Total Investments and Advances │ 279M │ 8.95B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Other Long-Term Investments │ 279M │ 544M │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Long-Term Note Receivables │ 334M │ 31.78B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Intangible Assets │ 520M │ 5.23B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Goodwill │ 207M │ 1.91B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Other Intangibles │ 313M │ 3.32B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Other Assets │ 923M │ 5.72B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Total Assets │ 52.15B │ 235.19B │
├──────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Total Assets Growth │ 14.13% │ -1.87% │
╘══════════════════════════════════════╧═══════════════════════════╧═════════════════════════╛

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Other available quarterly timeframes are: 30-Sep-2020, 31-Dec-2020, 31-Mar-2021, 30-Jun-2021, 30-Sep-2021
31-Dec-2020
TSLA GM
Item
Net Income before Extraordinaries 296M 2.93B
Net Income Growth  -19.78%  -24.49%
Depreciation, Depletion & Amortization 618M 3.2B
Depreciation and Depletion - -
Amortization of Intangible Assets - -
Deferred Taxes & Investment Tax Credit - -
Deferred Taxes - 225M
Investment Tax Credit - -
Other Funds 863M 32M
Funds from Operations 1.78B 6.39B
Extraordinaries - -
Changes in Working Capital 1.24B 303M
Receivables  (102M)  -
Accounts Payable 1.34B -
Other Assets/Liabilities 259M 823M
Net Operating Cash Flow 3.02B 6.69B
Net Operating Cash Flow Growth  25.79%  -40.41%
Net Operating Cash Flow / Sales  28.10%  17.84%

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@@ -0,0 +1,42 @@
Other available quarterly timeframes are: 30-Sep-2020, 31-Dec-2020, 31-Mar-2021, 30-Jun-2021, 30-Sep-2021
╒════════════════════════════════════════╤═══════════════════════════╤═════════════════════════╕
│ │ ('31-Dec-2020', 'TSLA') │ ('31-Dec-2020', 'GM') │
╞════════════════════════════════════════╪═══════════════════════════╪═════════════════════════╡
│ Net Income before Extraordinaries │ 296M │ 2.93B │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Income Growth │ -19.78% │ -24.49% │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Depreciation, Depletion & Amortization │ 618M │ 3.2B │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Depreciation and Depletion │ - │ - │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Amortization of Intangible Assets │ - │ - │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Deferred Taxes & Investment Tax Credit │ - │ - │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Deferred Taxes │ - │ 225M │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Investment Tax Credit │ - │ - │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Other Funds │ 863M │ 32M │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Funds from Operations │ 1.78B │ 6.39B │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Extraordinaries │ - │ - │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Changes in Working Capital │ 1.24B │ 303M │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Receivables │ (102M) │ - │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Accounts Payable │ 1.34B │ - │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Other Assets/Liabilities │ 259M │ 823M │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Operating Cash Flow │ 3.02B │ 6.69B │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Operating Cash Flow Growth │ 25.79% │ -40.41% │
├────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Operating Cash Flow / Sales │ 28.10% │ 17.84% │
╘════════════════════════════════════════╧═══════════════════════════╧═════════════════════════╛

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@@ -0,0 +1,63 @@
Other available quarterly timeframes are: 30-Sep-2020, 31-Dec-2020, 31-Mar-2021, 30-Jun-2021, 30-Sep-2021
31-Dec-2020
TSLA GM
Item
Sales/Revenue 10.74B 37.52B
Sales Growth  22.49%  5.74%
Cost of Goods Sold (COGS) incl. D&A 8.68B 32.52B
COGS Growth  29.37%  10.89%
COGS excluding D&A 8.06B 29.46B
Depreciation & Amortization Expense 618M 3.06B
Depreciation - -
Amortization of Intangibles - -
Gross Income 2.07B 5B
Gross Income Growth  0.15%  -18.77%
Gross Profit Margin - -
SG&A Expense 1.49B 2.13B
SGA Growth  18.90%  30.84%
Research & Development 522M -
Other SG&A 969M 2.13B
Other Operating Expense - -
Unusual Expense  (5M)  (521M)
EBIT after Unusual Expense 5M 521M
Non Operating Income/Expense 39M  (5M)
Non-Operating Interest Income 6M 46M
Equity in Affiliates (Pretax) - 285M
Interest Expense 246M 275M
Interest Expense Growth  50.92%  -15.90%
Gross Interest Expense 261M 275M
Interest Capitalized 15M -
Pretax Income 379M 3.44B
Pretax Income Growth  -31.71%  -29.89%
Pretax Margin - -
Income Tax 83M 642M
Income Tax - Current Domestic - -
Income Tax - Current Foreign - -
Income Tax - Deferred Domestic - -
Income Tax - Deferred Foreign - -
Income Tax Credits - -
Equity in Affiliates - -
Other After Tax Income (Expense) - -
Consolidated Net Income 296M 2.8B
Minority Interest Expense 26M  (49M)
Net Income 270M 2.85B
Net Income Growth  -10.00%  -29.64%
Net Margin Growth - -
Extraordinaries & Discontinued Operations - -
Extra Items & Gain/Loss Sale Of Assets - -
Cumulative Effect - Accounting Chg - -
Discontinued Operations - -
Net Income After Extraordinaries 270M 2.85B
Preferred Dividends - 45M
Net Income Available to Common 270M 2.8B
EPS (Basic) 0.28 1.95
EPS (Basic) Growth  -12.18%  -30.26%
Basic Shares Outstanding 960M 1.44B
EPS (Diluted) 0.24 1.93
EPS (Diluted) Growth  -11.42%  -30.64%
Diluted Shares Outstanding 1.12B 1.45B
EBITDA 1.19B 5.93B
EBITDA Growth  -14.36%  -22.82%
EBITDA Margin - -

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@@ -0,0 +1,120 @@
Other available quarterly timeframes are: 30-Sep-2020, 31-Dec-2020, 31-Mar-2021, 30-Jun-2021, 30-Sep-2021
╒═══════════════════════════════════════════╤═══════════════════════════╤═════════════════════════╕
│ │ ('31-Dec-2020', 'TSLA') │ ('31-Dec-2020', 'GM') │
╞═══════════════════════════════════════════╪═══════════════════════════╪═════════════════════════╡
│ Sales/Revenue │ 10.74B │ 37.52B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Sales Growth │ 22.49% │ 5.74% │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Cost of Goods Sold (COGS) incl. D&A │ 8.68B │ 32.52B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ COGS Growth │ 29.37% │ 10.89% │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ COGS excluding D&A │ 8.06B │ 29.46B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Depreciation & Amortization Expense │ 618M │ 3.06B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Depreciation │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Amortization of Intangibles │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Gross Income │ 2.07B │ 5B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Gross Income Growth │ 0.15% │ -18.77% │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Gross Profit Margin │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ SG&A Expense │ 1.49B │ 2.13B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ SGA Growth │ 18.90% │ 30.84% │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Research & Development │ 522M │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Other SG&A │ 969M │ 2.13B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Other Operating Expense │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Unusual Expense │ (5M) │ (521M) │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ EBIT after Unusual Expense │ 5M │ 521M │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Non Operating Income/Expense │ 39M │ (5M) │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Non-Operating Interest Income │ 6M │ 46M │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Equity in Affiliates (Pretax) │ - │ 285M │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Interest Expense │ 246M │ 275M │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Interest Expense Growth │ 50.92% │ -15.90% │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Gross Interest Expense │ 261M │ 275M │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Interest Capitalized │ 15M │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Pretax Income │ 379M │ 3.44B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Pretax Income Growth │ -31.71% │ -29.89% │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Pretax Margin │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Income Tax │ 83M │ 642M │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Income Tax - Current Domestic │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Income Tax - Current Foreign │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Income Tax - Deferred Domestic │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Income Tax - Deferred Foreign │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Income Tax Credits │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Equity in Affiliates │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Other After Tax Income (Expense) │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Consolidated Net Income │ 296M │ 2.8B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Minority Interest Expense │ 26M │ (49M) │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Income │ 270M │ 2.85B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Income Growth │ -10.00% │ -29.64% │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Margin Growth │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Extraordinaries & Discontinued Operations │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Extra Items & Gain/Loss Sale Of Assets │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Cumulative Effect - Accounting Chg │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Discontinued Operations │ - │ - │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Income After Extraordinaries │ 270M │ 2.85B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Preferred Dividends │ - │ 45M │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Net Income Available to Common │ 270M │ 2.8B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ EPS (Basic) │ 0.28 │ 1.95 │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ EPS (Basic) Growth │ -12.18% │ -30.26% │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Basic Shares Outstanding │ 960M │ 1.44B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ EPS (Diluted) │ 0.24 │ 1.93 │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ EPS (Diluted) Growth │ -11.42% │ -30.64% │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ Diluted Shares Outstanding │ 1.12B │ 1.45B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ EBITDA │ 1.19B │ 5.93B │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ EBITDA Growth │ -14.36% │ -22.82% │
├───────────────────────────────────────────┼───────────────────────────┼─────────────────────────┤
│ EBITDA Margin │ - │ - │
╘═══════════════════════════════════════════╧═══════════════════════════╧═════════════════════════╛

View File

@@ -59,7 +59,6 @@ def test_check_output(func, kwargs_dict, recorder):
result_df = getattr(av_model, func)(**kwargs_dict)
assert not result_df.empty
recorder.record_mode = "rewrite"
recorder.capture(result_df)
@@ -67,5 +66,4 @@ def test_check_output(func, kwargs_dict, recorder):
def test_get_fraud_ratios(recorder):
result_tuple = av_model.get_fraud_ratios(ticker="TSLA")
recorder.record_mode = "rewrite"
recorder.capture(result_tuple)