-
Notifications
You must be signed in to change notification settings - Fork 5
/
Copy pathoutput_dj30.txt
518 lines (469 loc) · 68 KB
/
output_dj30.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
Task begins at: 2024-08-27 21:08:57 [UK]
Reading symbols from source: https://en.wikipedia.org/wiki/Dow_Jones_Industrial_Average#Components
Total symbols: 30
Table:
symbol name
0 MMM 3M
1 AXP American Express
2 AMGN Amgen
3 AMZN Amazon
4 AAPL Apple
5 BA Boeing
6 CAT Caterpillar
7 CVX Chevron
8 CSCO Cisco
9 KO Coca-Cola
10 DIS Disney
11 DOW Dow
12 GS Goldman Sachs
13 HD Home Depot
14 HON Honeywell
15 IBM IBM
16 INTC Intel
17 JNJ Johnson & Johnson
18 JPM JPMorgan Chase
19 MCD McDonald's
20 MRK Merck
21 MSFT Microsoft
22 NKE Nike
23 PG Procter & Gamble
24 CRM Salesforce
25 TRV Travelers
26 UNH UnitedHealth Group
27 VZ Verizon
28 V Visa
29 WMT Walmart
----------- Reading symbols -----------
readAssetList path: asset_list/DowJones30.csv
['MMM', '3M', 'AXP', 'American Express', 'AMGN', 'Amgen', 'AMZN', 'Amazon', 'AAPL', 'Apple', 'BA', 'Boeing', 'CAT', 'Caterpillar', 'CVX', 'Chevron', 'CSCO', 'Cisco', 'KO', 'Coca-Cola', 'DIS', 'Disney', 'DOW', 'Dow', 'GS', 'Goldman Sachs', 'HD', 'Home Depot', 'HON', 'Honeywell', 'IBM', 'IBM', 'INTC', 'Intel', 'JNJ', 'Johnson & Johnson', 'JPM', 'JPMorgan Chase', 'MCD', "McDonald's", 'MRK', 'Merck', 'MSFT', 'Microsoft', 'NKE', 'Nike', 'PG', 'Procter & Gamble', 'CRM', 'Salesforce', 'TRV', 'Travelers', 'UNH', 'UnitedHealth Group', 'VZ', 'Verizon', 'V', 'Visa', 'WMT', 'Walmart']
----------- Downloading from Yahoo -----------
0 MMM -> data/dowjones30/1h/MMM.csv
1 AXP -> data/dowjones30/1h/AXP.csv
2 AMGN -> data/dowjones30/1h/AMGN.csv
3 AMZN -> data/dowjones30/1h/AMZN.csv
4 AAPL -> data/dowjones30/1h/AAPL.csv
5 BA -> data/dowjones30/1h/BA.csv
6 CAT -> data/dowjones30/1h/CAT.csv
7 CVX -> data/dowjones30/1h/CVX.csv
8 CSCO -> data/dowjones30/1h/CSCO.csv
9 KO -> data/dowjones30/1h/KO.csv
10 DIS -> data/dowjones30/1h/DIS.csv
11 DOW -> data/dowjones30/1h/DOW.csv
12 GS -> data/dowjones30/1h/GS.csv
13 HD -> data/dowjones30/1h/HD.csv
14 HON -> data/dowjones30/1h/HON.csv
15 IBM -> data/dowjones30/1h/IBM.csv
16 INTC -> data/dowjones30/1h/INTC.csv
17 JNJ -> data/dowjones30/1h/JNJ.csv
18 JPM -> data/dowjones30/1h/JPM.csv
19 MCD -> data/dowjones30/1h/MCD.csv
20 MRK -> data/dowjones30/1h/MRK.csv
21 MSFT -> data/dowjones30/1h/MSFT.csv
22 NKE -> data/dowjones30/1h/NKE.csv
23 PG -> data/dowjones30/1h/PG.csv
24 CRM -> data/dowjones30/1h/CRM.csv
25 TRV -> data/dowjones30/1h/TRV.csv
26 UNH -> data/dowjones30/1h/UNH.csv
27 VZ -> data/dowjones30/1h/VZ.csv
28 V -> data/dowjones30/1h/V.csv
29 WMT -> data/dowjones30/1h/WMT.csv
----------- Creating Ichimoku Data -----------
Ichimoku columns added to csv
----------- Reading symbols -----------
readAssetList path: asset_list/DowJones30.csv
['MMM', '3M', 'AXP', 'American Express', 'AMGN', 'Amgen', 'AMZN', 'Amazon', 'AAPL', 'Apple', 'BA', 'Boeing', 'CAT', 'Caterpillar', 'CVX', 'Chevron', 'CSCO', 'Cisco', 'KO', 'Coca-Cola', 'DIS', 'Disney', 'DOW', 'Dow', 'GS', 'Goldman Sachs', 'HD', 'Home Depot', 'HON', 'Honeywell', 'IBM', 'IBM', 'INTC', 'Intel', 'JNJ', 'Johnson & Johnson', 'JPM', 'JPMorgan Chase', 'MCD', "McDonald's", 'MRK', 'Merck', 'MSFT', 'Microsoft', 'NKE', 'Nike', 'PG', 'Procter & Gamble', 'CRM', 'Salesforce', 'TRV', 'Travelers', 'UNH', 'UnitedHealth Group', 'VZ', 'Verizon', 'V', 'Visa', 'WMT', 'Walmart']
----------- Downloading from Yahoo -----------
0 MMM -> data/dowjones30/d/MMM.csv
1 AXP -> data/dowjones30/d/AXP.csv
2 AMGN -> data/dowjones30/d/AMGN.csv
3 AMZN -> data/dowjones30/d/AMZN.csv
4 AAPL -> data/dowjones30/d/AAPL.csv
5 BA -> data/dowjones30/d/BA.csv
6 CAT -> data/dowjones30/d/CAT.csv
7 CVX -> data/dowjones30/d/CVX.csv
8 CSCO -> data/dowjones30/d/CSCO.csv
9 KO -> data/dowjones30/d/KO.csv
10 DIS -> data/dowjones30/d/DIS.csv
11 DOW -> data/dowjones30/d/DOW.csv
12 GS -> data/dowjones30/d/GS.csv
13 HD -> data/dowjones30/d/HD.csv
14 HON -> data/dowjones30/d/HON.csv
15 IBM -> data/dowjones30/d/IBM.csv
16 INTC -> data/dowjones30/d/INTC.csv
17 JNJ -> data/dowjones30/d/JNJ.csv
18 JPM -> data/dowjones30/d/JPM.csv
19 MCD -> data/dowjones30/d/MCD.csv
20 MRK -> data/dowjones30/d/MRK.csv
21 MSFT -> data/dowjones30/d/MSFT.csv
22 NKE -> data/dowjones30/d/NKE.csv
23 PG -> data/dowjones30/d/PG.csv
24 CRM -> data/dowjones30/d/CRM.csv
25 TRV -> data/dowjones30/d/TRV.csv
26 UNH -> data/dowjones30/d/UNH.csv
27 VZ -> data/dowjones30/d/VZ.csv
28 V -> data/dowjones30/d/V.csv
29 WMT -> data/dowjones30/d/WMT.csv
----------- Creating Ichimoku Data -----------
Ichimoku columns added to csv
----------- Reading symbols -----------
readAssetList path: asset_list/DowJones30.csv
['MMM', '3M', 'AXP', 'American Express', 'AMGN', 'Amgen', 'AMZN', 'Amazon', 'AAPL', 'Apple', 'BA', 'Boeing', 'CAT', 'Caterpillar', 'CVX', 'Chevron', 'CSCO', 'Cisco', 'KO', 'Coca-Cola', 'DIS', 'Disney', 'DOW', 'Dow', 'GS', 'Goldman Sachs', 'HD', 'Home Depot', 'HON', 'Honeywell', 'IBM', 'IBM', 'INTC', 'Intel', 'JNJ', 'Johnson & Johnson', 'JPM', 'JPMorgan Chase', 'MCD', "McDonald's", 'MRK', 'Merck', 'MSFT', 'Microsoft', 'NKE', 'Nike', 'PG', 'Procter & Gamble', 'CRM', 'Salesforce', 'TRV', 'Travelers', 'UNH', 'UnitedHealth Group', 'VZ', 'Verizon', 'V', 'Visa', 'WMT', 'Walmart']
----------- Downloading from Yahoo -----------
0 MMM -> data/dowjones30/w/MMM.csv
1 AXP -> data/dowjones30/w/AXP.csv
2 AMGN -> data/dowjones30/w/AMGN.csv
3 AMZN -> data/dowjones30/w/AMZN.csv
4 AAPL -> data/dowjones30/w/AAPL.csv
5 BA -> data/dowjones30/w/BA.csv
6 CAT -> data/dowjones30/w/CAT.csv
7 CVX -> data/dowjones30/w/CVX.csv
8 CSCO -> data/dowjones30/w/CSCO.csv
9 KO -> data/dowjones30/w/KO.csv
10 DIS -> data/dowjones30/w/DIS.csv
11 DOW -> data/dowjones30/w/DOW.csv
12 GS -> data/dowjones30/w/GS.csv
13 HD -> data/dowjones30/w/HD.csv
14 HON -> data/dowjones30/w/HON.csv
15 IBM -> data/dowjones30/w/IBM.csv
16 INTC -> data/dowjones30/w/INTC.csv
17 JNJ -> data/dowjones30/w/JNJ.csv
18 JPM -> data/dowjones30/w/JPM.csv
19 MCD -> data/dowjones30/w/MCD.csv
20 MRK -> data/dowjones30/w/MRK.csv
21 MSFT -> data/dowjones30/w/MSFT.csv
22 NKE -> data/dowjones30/w/NKE.csv
23 PG -> data/dowjones30/w/PG.csv
24 CRM -> data/dowjones30/w/CRM.csv
25 TRV -> data/dowjones30/w/TRV.csv
26 UNH -> data/dowjones30/w/UNH.csv
27 VZ -> data/dowjones30/w/VZ.csv
28 V -> data/dowjones30/w/V.csv
29 WMT -> data/dowjones30/w/WMT.csv
----------- Creating Ichimoku Data -----------
Ichimoku columns added to csv
----------- Reading symbols -----------
readAssetList path: asset_list/DowJones30.csv
['MMM', '3M', 'AXP', 'American Express', 'AMGN', 'Amgen', 'AMZN', 'Amazon', 'AAPL', 'Apple', 'BA', 'Boeing', 'CAT', 'Caterpillar', 'CVX', 'Chevron', 'CSCO', 'Cisco', 'KO', 'Coca-Cola', 'DIS', 'Disney', 'DOW', 'Dow', 'GS', 'Goldman Sachs', 'HD', 'Home Depot', 'HON', 'Honeywell', 'IBM', 'IBM', 'INTC', 'Intel', 'JNJ', 'Johnson & Johnson', 'JPM', 'JPMorgan Chase', 'MCD', "McDonald's", 'MRK', 'Merck', 'MSFT', 'Microsoft', 'NKE', 'Nike', 'PG', 'Procter & Gamble', 'CRM', 'Salesforce', 'TRV', 'Travelers', 'UNH', 'UnitedHealth Group', 'VZ', 'Verizon', 'V', 'Visa', 'WMT', 'Walmart']
----------- Reading symbols -----------
readAssetList path: asset_list/DowJones30.csv
['MMM', '3M', 'AXP', 'American Express', 'AMGN', 'Amgen', 'AMZN', 'Amazon', 'AAPL', 'Apple', 'BA', 'Boeing', 'CAT', 'Caterpillar', 'CVX', 'Chevron', 'CSCO', 'Cisco', 'KO', 'Coca-Cola', 'DIS', 'Disney', 'DOW', 'Dow', 'GS', 'Goldman Sachs', 'HD', 'Home Depot', 'HON', 'Honeywell', 'IBM', 'IBM', 'INTC', 'Intel', 'JNJ', 'Johnson & Johnson', 'JPM', 'JPMorgan Chase', 'MCD', "McDonald's", 'MRK', 'Merck', 'MSFT', 'Microsoft', 'NKE', 'Nike', 'PG', 'Procter & Gamble', 'CRM', 'Salesforce', 'TRV', 'Travelers', 'UNH', 'UnitedHealth Group', 'VZ', 'Verizon', 'V', 'Visa', 'WMT', 'Walmart']
----------- Downloading from Yahoo -----------
0 MMM -> data/dowjones30/m/MMM.csv
1 AXP -> data/dowjones30/m/AXP.csv
2 AMGN -> data/dowjones30/m/AMGN.csv
3 AMZN -> data/dowjones30/m/AMZN.csv
4 AAPL -> data/dowjones30/m/AAPL.csv
5 BA -> data/dowjones30/m/BA.csv
6 CAT -> data/dowjones30/m/CAT.csv
7 CVX -> data/dowjones30/m/CVX.csv
8 CSCO -> data/dowjones30/m/CSCO.csv
9 KO -> data/dowjones30/m/KO.csv
10 DIS -> data/dowjones30/m/DIS.csv
11 DOW -> data/dowjones30/m/DOW.csv
12 GS -> data/dowjones30/m/GS.csv
13 HD -> data/dowjones30/m/HD.csv
14 HON -> data/dowjones30/m/HON.csv
15 IBM -> data/dowjones30/m/IBM.csv
16 INTC -> data/dowjones30/m/INTC.csv
17 JNJ -> data/dowjones30/m/JNJ.csv
18 JPM -> data/dowjones30/m/JPM.csv
19 MCD -> data/dowjones30/m/MCD.csv
20 MRK -> data/dowjones30/m/MRK.csv
21 MSFT -> data/dowjones30/m/MSFT.csv
22 NKE -> data/dowjones30/m/NKE.csv
23 PG -> data/dowjones30/m/PG.csv
24 CRM -> data/dowjones30/m/CRM.csv
25 TRV -> data/dowjones30/m/TRV.csv
26 UNH -> data/dowjones30/m/UNH.csv
27 VZ -> data/dowjones30/m/VZ.csv
28 V -> data/dowjones30/m/V.csv
29 WMT -> data/dowjones30/m/WMT.csv
----------- Creating Ichimoku Data -----------
Ichimoku columns added to csv
----------- Reading symbols -----------
readAssetList path: asset_list/DowJones30.csv
['MMM', '3M', 'AXP', 'American Express', 'AMGN', 'Amgen', 'AMZN', 'Amazon', 'AAPL', 'Apple', 'BA', 'Boeing', 'CAT', 'Caterpillar', 'CVX', 'Chevron', 'CSCO', 'Cisco', 'KO', 'Coca-Cola', 'DIS', 'Disney', 'DOW', 'Dow', 'GS', 'Goldman Sachs', 'HD', 'Home Depot', 'HON', 'Honeywell', 'IBM', 'IBM', 'INTC', 'Intel', 'JNJ', 'Johnson & Johnson', 'JPM', 'JPMorgan Chase', 'MCD', "McDonald's", 'MRK', 'Merck', 'MSFT', 'Microsoft', 'NKE', 'Nike', 'PG', 'Procter & Gamble', 'CRM', 'Salesforce', 'TRV', 'Travelers', 'UNH', 'UnitedHealth Group', 'VZ', 'Verizon', 'V', 'Visa', 'WMT', 'Walmart']
----------- Generating Cloud Signals: data/dowjones30/1h/ -----------
Cloud signal count csv files are created
----------- Generating Cloud Signals: data/dowjones30/d/ -----------
Cloud signal count csv files are created
----------- Generating Cloud Signals: data/dowjones30/w/ -----------
Cloud signal count csv files are created
----------- Generating Cloud Signals: data/dowjones30/m/ -----------
Cloud signal count csv files are created
----------- Creating Cloud Signal Aggregator -----------
self.model.use_datetime_format:: True
[symbol: MMM , entries: 1756][symbol: AXP , entries: 1756][symbol: AMGN , entries: 1756][symbol: AMZN , entries: 1756][symbol: AAPL , entries: 1756][symbol: BA , entries: 1756][symbol: CAT , entries: 1756][symbol: CVX , entries: 1756][symbol: CSCO , entries: 1756][symbol: KO , entries: 1756][symbol: DIS , entries: 1756][symbol: DOW , entries: 1756][symbol: GS , entries: 1756][symbol: HD , entries: 1756][symbol: HON , entries: 1756][symbol: IBM , entries: 1756][symbol: INTC , entries: 1756][symbol: JNJ , entries: 1756][symbol: JPM , entries: 1756][symbol: MCD , entries: 1756][symbol: MRK , entries: 1756][symbol: MSFT , entries: 1756][symbol: NKE , entries: 1756][symbol: PG , entries: 1756][symbol: CRM , entries: 1756][symbol: TRV , entries: 1756][symbol: UNH , entries: 1756][symbol: VZ , entries: 1756][symbol: V , entries: 1756][symbol: WMT , entries: 1756]Aggregator DowJones30-cloud-1H.csv and .xml are created
----------- Creating Cloud Signal Aggregator -----------
self.model.use_datetime_format:: False
[symbol: MMM , entries: 15771][symbol: AXP , entries: 13172][symbol: AMGN , entries: 10383][symbol: AMZN , entries: 6866][symbol: AAPL , entries: 11018][symbol: BA , entries: 15771][symbol: CAT , entries: 15771][symbol: CVX , entries: 15771][symbol: CSCO , entries: 8697][symbol: KO , entries: 15771][symbol: DIS , entries: 15771][symbol: DOW , entries: 1370][symbol: GS , entries: 6371][symbol: HD , entries: 10823][symbol: HON , entries: 15771][symbol: IBM , entries: 15771][symbol: INTC , entries: 11206][symbol: JNJ , entries: 15771][symbol: JPM , entries: 11206][symbol: MCD , entries: 14636][symbol: MRK , entries: 15771][symbol: MSFT , entries: 9692][symbol: NKE , entries: 11026][symbol: PG , entries: 15771][symbol: CRM , entries: 5080][symbol: TRV , entries: 12299][symbol: UNH , entries: 10045][symbol: VZ , entries: 10274][symbol: V , entries: 4139][symbol: WMT , entries: 13112]Aggregator DowJones30-cloud-D.csv and .xml are created
----------- Creating Cloud Signal Aggregator -----------
self.model.use_datetime_format:: False
[symbol: MMM , entries: 3270][symbol: AXP , entries: 2727][symbol: AMGN , entries: 2151][symbol: AMZN , entries: 1425][symbol: AAPL , entries: 2282][symbol: BA , entries: 3270][symbol: CAT , entries: 3270][symbol: CVX , entries: 3270][symbol: CSCO , entries: 1803][symbol: KO , entries: 3270][symbol: DIS , entries: 3270][symbol: DOW , entries: 285][symbol: GS , entries: 1322][symbol: HD , entries: 2241][symbol: HON , entries: 3270][symbol: IBM , entries: 3270][symbol: INTC , entries: 2320][symbol: JNJ , entries: 3270][symbol: JPM , entries: 2320][symbol: MCD , entries: 3035][symbol: MRK , entries: 3270][symbol: MSFT , entries: 2008][symbol: NKE , entries: 2283][symbol: PG , entries: 3270][symbol: CRM , entries: 1054][symbol: TRV , entries: 2546][symbol: UNH , entries: 2081][symbol: VZ , entries: 2128][symbol: V , entries: 859][symbol: WMT , entries: 2715]Aggregator DowJones30-cloud-W.csv and .xml are created
----------- Creating Cloud Signal Aggregator -----------
self.model.use_datetime_format:: False
[symbol: MMM , entries: 751][symbol: AXP , entries: 476][symbol: AMGN , entries: 476][symbol: AMZN , entries: 327][symbol: AAPL , entries: 476][symbol: BA , entries: 476][symbol: CAT , entries: 476][symbol: CVX , entries: 476][symbol: CSCO , entries: 414][symbol: KO , entries: 476][symbol: DIS , entries: 476][symbol: DOW , entries: 65][symbol: GS , entries: 303][symbol: HD , entries: 476][symbol: HON , entries: 476][symbol: IBM , entries: 751][symbol: INTC , entries: 476][symbol: JNJ , entries: 476][symbol: JPM , entries: 476][symbol: MCD , entries: 476][symbol: MRK , entries: 476][symbol: MSFT , entries: 461][symbol: NKE , entries: 476][symbol: PG , entries: 476][symbol: CRM , entries: 242][symbol: TRV , entries: 476][symbol: UNH , entries: 476][symbol: VZ , entries: 476][symbol: V , entries: 197][symbol: WMT , entries: 624]Aggregator DowJones30-cloud-M.csv and .xml are created
------------- Merging Multi Timeframe Cloud -------------
Check files for merging: ['output/cloud/DowJones30-cloud-1H.csv', 'output/cloud/DowJones30-cloud-D.csv', 'output/cloud/DowJones30-cloud-W.csv', 'output/cloud/DowJones30-cloud-M.csv']
Multi Timeframe Cloud Signals Merged: output/cloud/DowJones30-cloud-merged.csv
combined_csv size:: (30, 11)
combined_csv::
Symbol Name ... 1M Cloud Direction 1M Cloud Count
0 PG Procter & Gamble ... 1 75
1 AMGN Amgen ... 1 14
2 BA Boeing ... -1 1
3 AMZN Amazon ... 1 9
4 MSFT Microsoft ... 1 152
5 INTC Intel ... -1 29
6 CRM Salesforce ... 1 10
7 GS Goldman Sachs ... 1 45
8 DOW Dow ... 0 0
9 CVX Chevron ... 1 32
10 AXP American Express ... 1 87
11 UNH UnitedHealth Group ... 1 164
12 CAT Caterpillar ... 1 49
13 HON Honeywell ... 1 10
14 JNJ Johnson & Johnson ... 0 0
15 VZ Verizon ... -1 30
16 MRK Merck ... 1 147
17 DIS Disney ... -1 29
18 HD Home Depot ... 1 165
19 V Visa ... 1 120
20 CSCO Cisco ... 0 0
21 TRV Travelers ... 1 45
22 MCD McDonald's ... 1 230
23 WMT Walmart ... 1 83
24 KO Coca-Cola ... 1 50
25 MMM 3M ... -1 37
26 JPM JPMorgan Chase ... 1 23
27 AAPL Apple ... 1 239
28 IBM IBM ... 1 15
29 NKE Nike ... -1 13
[30 rows x 11 columns]
All specified columns exist.
All specified columns exist.
All specified columns exist.
All specified columns exist.
-------------------- Cloud Score Multi Timeframe Raw --------------------
Symbol Name ... 1W Cloud Score 1M Cloud Score
0 PG Procter & Gamble ... 34 75
1 AMGN Amgen ... 51 14
2 BA Boeing ... -22 -1
3 AMZN Amazon ... 63 9
4 MSFT Microsoft ... 74 152
5 INTC Intel ... -19 -29
6 CRM Salesforce ... 0 10
7 GS Goldman Sachs ... 42 45
8 DOW Dow ... 3 0
9 CVX Chevron ... -5 32
10 AXP American Express ... 42 87
11 UNH UnitedHealth Group ... 7 164
12 CAT Caterpillar ... 97 49
13 HON Honeywell ... 17 10
14 JNJ Johnson & Johnson ... 2 0
15 VZ Verizon ... 33 -30
16 MRK Merck ... 0 147
17 DIS Disney ... -6 -29
18 HD Home Depot ... 42 165
19 V Visa ... 3 120
20 CSCO Cisco ... -21 0
21 TRV Travelers ... 41 45
22 MCD McDonald's ... 2 230
23 WMT Walmart ... 77 83
24 KO Coca-Cola ... 23 50
25 MMM 3M ... 20 -37
26 JPM JPMorgan Chase ... 68 23
27 AAPL Apple ... 18 239
28 IBM IBM ... 58 15
29 NKE Nike ... -35 -13
[30 rows x 15 columns]
create_sum_column self.list_score_names: ['1H Cloud Score', '1D Cloud Score', '1W Cloud Score', '1M Cloud Score', 'Cloud Score Sum']
create_sum_column df.columns Index(['Symbol', 'Name', 'Close', '1H Cloud Direction', '1H Cloud Count',
'1D Cloud Direction', '1D Cloud Count', '1W Cloud Direction',
'1W Cloud Count', '1M Cloud Direction', '1M Cloud Count',
'1H Cloud Score', '1D Cloud Score', '1W Cloud Score', '1M Cloud Score'],
dtype='object')
------ Cleaning columns ------
Available columns: ['Symbol', 'Name', 'Close', '1H Cloud Score', '1D Cloud Score', '1W Cloud Score', '1M Cloud Score', 'Cloud Score Sum']
Saved data to: output/cloud/DowJones30-cloud-merged.csv output/cloud/DowJones30-cloud-merged.csv.html
----------- Cloud Score Multi Timeframe Final View -----------
Symbol Name ... 1M Cloud Score Cloud Score Sum
27 AAPL Apple ... 239 365
22 MCD McDonald's ... 230 317
7 GS Goldman Sachs ... 45 305
18 HD Home Depot ... 165 284
23 WMT Walmart ... 83 240
24 KO Coca-Cola ... 50 233
11 UNH UnitedHealth Group ... 164 228
28 IBM IBM ... 15 205
26 JPM JPMorgan Chase ... 23 200
4 MSFT Microsoft ... 152 194
19 V Visa ... 120 187
12 CAT Caterpillar ... 49 182
16 MRK Merck ... 147 174
10 AXP American Express ... 87 164
21 TRV Travelers ... 45 161
1 AMGN Amgen ... 14 145
0 PG Procter & Gamble ... 75 127
25 MMM 3M ... -37 92
14 JNJ Johnson & Johnson ... 0 73
15 VZ Verizon ... -30 54
20 CSCO Cisco ... 0 51
29 NKE Nike ... -13 51
13 HON Honeywell ... 10 47
3 AMZN Amazon ... 9 47
6 CRM Salesforce ... 10 44
9 CVX Chevron ... 32 29
8 DOW Dow ... 0 24
2 BA Boeing ... -1 -30
17 DIS Disney ... -29 -55
5 INTC Intel ... -29 -84
[30 rows x 8 columns]
-------------------- Generating TKx Signals from data/dowjones30/1h/ asset_list/DowJones30.csv --------------------
TKx count csv files are created
-------------------- Generating TKx Signals from data/dowjones30/d/ asset_list/DowJones30.csv --------------------
TKx count csv files are created
-------------------- Generating TKx Signals from data/dowjones30/w/ asset_list/DowJones30.csv --------------------
TKx count csv files are created
-------------------- Generating TKx Signals from data/dowjones30/m/ asset_list/DowJones30.csv --------------------
TKx count csv files are created
----------- Creating TKx Signal Aggregator data/dowjones30/1h/ -----------
self.model.use_datetime_format:: True
Aggregator DowJones30-tkx-1H.csv and .xml are created
----------- Creating TKx Signal Aggregator data/dowjones30/d/ -----------
self.model.use_datetime_format:: False
[symbol: MMM , entries: 15771][symbol: AXP , entries: 13172][symbol: AMGN , entries: 10383][symbol: AMZN , entries: 6866][symbol: AAPL , entries: 11018][symbol: BA , entries: 15771][symbol: CAT , entries: 15771][symbol: CVX , entries: 15771][symbol: CSCO , entries: 8697][symbol: KO , entries: 15771][symbol: DIS , entries: 15771][symbol: DOW , entries: 1370][symbol: GS , entries: 6371][symbol: HD , entries: 10823][symbol: HON , entries: 15771][symbol: IBM , entries: 15771][symbol: INTC , entries: 11206][symbol: JNJ , entries: 15771][symbol: JPM , entries: 11206][symbol: MCD , entries: 14636][symbol: MRK , entries: 15771][symbol: MSFT , entries: 9692][symbol: NKE , entries: 11026][symbol: PG , entries: 15771][symbol: CRM , entries: 5080][symbol: TRV , entries: 12299][symbol: UNH , entries: 10045][symbol: VZ , entries: 10274][symbol: V , entries: 4139][symbol: WMT , entries: 13112]Aggregator DowJones30-tkx-D.csv and .xml are created
----------- Creating TKx Signal Aggregator data/dowjones30/w/ -----------
self.model.use_datetime_format:: False
[symbol: MMM , entries: 3270][symbol: AXP , entries: 2727][symbol: AMGN , entries: 2151][symbol: AMZN , entries: 1425][symbol: AAPL , entries: 2282][symbol: BA , entries: 3270][symbol: CAT , entries: 3270][symbol: CVX , entries: 3270][symbol: CSCO , entries: 1803][symbol: KO , entries: 3270][symbol: DIS , entries: 3270][symbol: DOW , entries: 285][symbol: GS , entries: 1322][symbol: HD , entries: 2241][symbol: HON , entries: 3270][symbol: IBM , entries: 3270][symbol: INTC , entries: 2320][symbol: JNJ , entries: 3270][symbol: JPM , entries: 2320][symbol: MCD , entries: 3035][symbol: MRK , entries: 3270][symbol: MSFT , entries: 2008][symbol: NKE , entries: 2283][symbol: PG , entries: 3270][symbol: CRM , entries: 1054][symbol: TRV , entries: 2546][symbol: UNH , entries: 2081][symbol: VZ , entries: 2128][symbol: V , entries: 859][symbol: WMT , entries: 2715]Aggregator DowJones30-tkx-W.csv and .xml are created
----------- Creating TKx Signal Aggregator data/dowjones30/m/ -----------
self.model.use_datetime_format:: False
[symbol: MMM , entries: 751][symbol: AXP , entries: 476][symbol: AMGN , entries: 476][symbol: AMZN , entries: 327][symbol: AAPL , entries: 476][symbol: BA , entries: 476][symbol: CAT , entries: 476][symbol: CVX , entries: 476][symbol: CSCO , entries: 414][symbol: KO , entries: 476][symbol: DIS , entries: 476][symbol: DOW , entries: 65][symbol: GS , entries: 303][symbol: HD , entries: 476][symbol: HON , entries: 476][symbol: IBM , entries: 751][symbol: INTC , entries: 476][symbol: JNJ , entries: 476][symbol: JPM , entries: 476][symbol: MCD , entries: 476][symbol: MRK , entries: 476][symbol: MSFT , entries: 461][symbol: NKE , entries: 476][symbol: PG , entries: 476][symbol: CRM , entries: 242][symbol: TRV , entries: 476][symbol: UNH , entries: 476][symbol: VZ , entries: 476][symbol: V , entries: 197][symbol: WMT , entries: 624]Aggregator DowJones30-tkx-M.csv and .xml are created
------------- Merging Multi Timeframe TKx -------------
Check files for merging: ['output/tkx/DowJones30-tkx-1H.csv', 'output/tkx/DowJones30-tkx-D.csv', 'output/tkx/DowJones30-tkx-W.csv', 'output/tkx/DowJones30-tkx-M.csv']
Multi Timeframe TKx Signals Merged: output/tkx/DowJones30-tkx-merged.csv
All specified columns exist.
All specified columns exist.
All specified columns exist.
All specified columns exist.
-------------------- TKx Score Multi Timeframe Raw --------------------
Symbol Name ... 1W TKx Score 1M TKx Score
0 MCD McDonald's ... -18 45
1 AAPL Apple ... 11 15
2 MRK Merck ... -1 35
3 PG Procter & Gamble ... 31 14
4 NKE Nike ... -28 -25
5 V Visa ... -10 14
6 BA Boeing ... -26 14
7 DOW Dow ... -10 1
8 CAT Caterpillar ... -5 45
9 AMGN Amgen ... 10 11
10 CSCO Cisco ... -42 13
11 KO Coca-Cola ... 36 2
12 DIS Disney ... -8 1
13 IBM IBM ... 4 41
14 CRM Salesforce ... -14 9
15 UNH UnitedHealth Group ... 11 -7
16 AXP American Express ... 36 8
17 MSFT Microsoft ... 43 13
18 GS Goldman Sachs ... 36 6
19 CVX Chevron ... -5 -6
20 TRV Travelers ... -10 44
21 AMZN Amazon ... 71 8
22 JPM JPMorgan Chase ... 36 14
23 INTC Intel ... -21 7
24 VZ Verizon ... -12 -35
25 JNJ Johnson & Johnson ... 5 -19
26 HON Honeywell ... 13 3
27 WMT Walmart ... 29 17
28 HD Home Depot ... -14 6
29 MMM 3M ... 35 2
[30 rows x 14 columns]
create_sum_column self.list_score_names: ['1H TKx Score', '1D TKx Score', '1W TKx Score', '1M TKx Score', 'TKx Score Sum']
create_sum_column df.columns Index(['Symbol', 'Name', '1H TKx Direction', '1H TKx Count',
'1D TKx Direction', '1D TKx Count', '1W TKx Direction', '1W TKx Count',
'1M TKx Direction', '1M TKx Count', '1H TKx Score', '1D TKx Score',
'1W TKx Score', '1M TKx Score'],
dtype='object')
------ Cleaning columns ------
Available columns: ['Symbol', 'Name', '1H TKx Score', '1D TKx Score', '1W TKx Score', '1M TKx Score', 'TKx Score Sum']
Saved data to: output/tkx/DowJones30-tkx-merged.csv output/tkx/DowJones30-tkx-merged.csv.html
----------- TKx Score Multi Timeframe Final View -----------
Symbol Name ... 1M TKx Score TKx Score Sum
29 MMM 3M ... 2 154
27 WMT Walmart ... 17 115
13 IBM IBM ... 41 108
11 KO Coca-Cola ... 2 106
22 JPM JPMorgan Chase ... 14 82
25 JNJ Johnson & Johnson ... -19 74
18 GS Goldman Sachs ... 6 71
16 AXP American Express ... 8 69
20 TRV Travelers ... 44 65
3 PG Procter & Gamble ... 14 64
28 HD Home Depot ... 6 62
21 AMZN Amazon ... 8 59
8 CAT Caterpillar ... 45 58
26 HON Honeywell ... 3 57
0 MCD McDonald's ... 45 50
17 MSFT Microsoft ... 13 40
1 AAPL Apple ... 15 36
15 UNH UnitedHealth Group ... -7 24
9 AMGN Amgen ... 11 19
5 V Visa ... 14 19
14 CRM Salesforce ... 9 17
12 DIS Disney ... 1 8
7 DOW Dow ... 1 7
24 VZ Verizon ... -35 2
2 MRK Merck ... 35 -7
19 CVX Chevron ... -6 -10
10 CSCO Cisco ... 13 -12
6 BA Boeing ... 14 -33
4 NKE Nike ... -25 -38
23 INTC Intel ... 7 -65
[30 rows x 7 columns]
------------- Merging Multi Timeframe Cloud and TKx Sum -------------
Check files for merging: ['output/cloud/DowJones30-cloud-merged.csv', 'output/tkx/DowJones30-tkx-merged.csv']
Multi Timeframe Cloud and TKx Signals Merged
File path without filename: output/sum
File name with extension: DowJones30-sum-cloud-tkx-merged.csv
Saved data to: output/sum/DowJones30-sum-cloud-tkx-merged.csv output/sum/DowJones30-sum-cloud-tkx-merged.csv.html
----------- Cloud and TKx Sum Score Multi Timeframe Final View -----------
Symbol Name ... TKx Score Sum Total Score Sum
0 AAPL Apple ... 36 401
2 GS Goldman Sachs ... 71 376
1 MCD McDonald's ... 50 367
4 WMT Walmart ... 115 355
3 HD Home Depot ... 62 346
5 KO Coca-Cola ... 106 339
7 IBM IBM ... 108 313
8 JPM JPMorgan Chase ... 82 282
6 UNH UnitedHealth Group ... 24 252
17 MMM 3M ... 154 246
11 CAT Caterpillar ... 58 240
9 MSFT Microsoft ... 40 234
13 AXP American Express ... 69 233
14 TRV Travelers ... 65 226
10 V Visa ... 19 206
16 PG Procter & Gamble ... 64 191
12 MRK Merck ... -7 167
15 AMGN Amgen ... 19 164
18 JNJ Johnson & Johnson ... 74 147
23 AMZN Amazon ... 59 106
22 HON Honeywell ... 57 104
24 CRM Salesforce ... 17 61
19 VZ Verizon ... 2 56
20 CSCO Cisco ... -12 39
26 DOW Dow ... 7 31
25 CVX Chevron ... -10 19
21 NKE Nike ... -38 13
28 DIS Disney ... 8 -47
27 BA Boeing ... -33 -63
29 INTC Intel ... -65 -149
[30 rows x 14 columns]
------------- Generating Html table -------------
HTML title: Dow Jones 30 Cloud Scan
Table generated at 2024-08-27 21:10:19
html data table generated.
generate_html output/sum/DowJones30-sum-cloud-tkx-merged.csv
html data table saved at output/sum/DowJones30-sum-cloud-tkx-merged.csv.html
Tasks completed at 2024-08-27 21:10:19 [UK] (Time elapsed: 0:01:22.251418)