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updating live data from open markets

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Files changed (2) hide show
  1. live_data/markets_live_data.parquet +2 -2
  2. notebooks/analysis_of_markets_data.ipynb +373 -50
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334
+ " <tr>\n",
335
+ " <th>201</th>\n",
336
+ " <td>1724549630</td>\n",
337
+ " <td>0xe5b58dc5da5d4f36c2520cc494e6396125dcaf34</td>\n",
338
+ " <td>6370701121566728366</td>\n",
339
+ " <td>7000000000000000003</td>\n",
340
+ " <td>1724976000</td>\n",
341
+ " <td>[4504209296945904222, 10878712948180412338]</td>\n",
342
+ " <td>Will Google's Essentials app for Windows PC be...</td>\n",
343
+ " <td>1724679627</td>\n",
344
+ " <td>True</td>\n",
345
+ " <td>12</td>\n",
346
+ " <td>...</td>\n",
347
+ " <td>2024-08-26 15:40:27</td>\n",
348
+ " <td>70.72</td>\n",
349
+ " <td>29.28</td>\n",
350
+ " <td>0.385250</td>\n",
351
+ " <td>4.623</td>\n",
352
+ " <td>95.67</td>\n",
353
+ " <td>4.33</td>\n",
354
+ " <td>91.50</td>\n",
355
+ " <td>8.50</td>\n",
356
+ " <td>None</td>\n",
357
+ " </tr>\n",
358
+ " <tr>\n",
359
+ " <th>202</th>\n",
360
+ " <td>1690321980</td>\n",
361
+ " <td>0xe7ed8a5f2f0f17f7d584ae8ddd0592d1ac67791f</td>\n",
362
+ " <td>242918463834049</td>\n",
363
+ " <td>10000000000002729</td>\n",
364
+ " <td>1730502000</td>\n",
365
+ " <td>[121477155290599, 823200047456111971]</td>\n",
366
+ " <td>Will Twitter implement a new misinformation po...</td>\n",
367
+ " <td>1724679627</td>\n",
368
+ " <td>True</td>\n",
369
+ " <td>255</td>\n",
370
+ " <td>...</td>\n",
371
+ " <td>2024-08-26 15:40:27</td>\n",
372
+ " <td>99.99</td>\n",
373
+ " <td>0.01</td>\n",
374
+ " <td>0.373357</td>\n",
375
+ " <td>95.206</td>\n",
376
+ " <td>55.20</td>\n",
377
+ " <td>44.80</td>\n",
378
+ " <td>50.22</td>\n",
379
+ " <td>49.78</td>\n",
380
+ " <td>None</td>\n",
381
+ " </tr>\n",
382
+ " <tr>\n",
383
+ " <th>203</th>\n",
384
+ " <td>1724633310</td>\n",
385
+ " <td>0xf9613dbb29382018e604f666f33df1a462e26bbb</td>\n",
386
+ " <td>6898633531370163255</td>\n",
387
+ " <td>7000000000000000003</td>\n",
388
+ " <td>1725062400</td>\n",
389
+ " <td>[8307248786318638362, 5898463048404064425]</td>\n",
390
+ " <td>Will Elon Musk's X staff receive their stocks ...</td>\n",
391
+ " <td>1724679627</td>\n",
392
+ " <td>True</td>\n",
393
+ " <td>10</td>\n",
394
+ " <td>...</td>\n",
395
+ " <td>2024-08-26 15:40:27</td>\n",
396
+ " <td>41.52</td>\n",
397
+ " <td>58.48</td>\n",
398
+ " <td>0.210200</td>\n",
399
+ " <td>2.102</td>\n",
400
+ " <td>17.13</td>\n",
401
+ " <td>82.87</td>\n",
402
+ " <td>19.24</td>\n",
403
+ " <td>80.76</td>\n",
404
+ " <td>None</td>\n",
405
+ " </tr>\n",
406
+ " <tr>\n",
407
+ " <th>204</th>\n",
408
+ " <td>1724373085</td>\n",
409
+ " <td>0xfa1a0f1961a35c463630286bef8ff29521613ba7</td>\n",
410
+ " <td>6763920134694989087</td>\n",
411
+ " <td>7000000000000000021</td>\n",
412
+ " <td>1724803200</td>\n",
413
+ " <td>[5378798833037069370, 9109840602150347095]</td>\n",
414
+ " <td>Will Google’s AI tool 'Reimagine' create contr...</td>\n",
415
+ " <td>1724679627</td>\n",
416
+ " <td>True</td>\n",
417
+ " <td>81</td>\n",
418
+ " <td>...</td>\n",
419
+ " <td>2024-08-26 15:40:27</td>\n",
420
+ " <td>62.88</td>\n",
421
+ " <td>37.12</td>\n",
422
+ " <td>0.454123</td>\n",
423
+ " <td>36.784</td>\n",
424
+ " <td>58.56</td>\n",
425
+ " <td>41.44</td>\n",
426
+ " <td>52.60</td>\n",
427
+ " <td>47.40</td>\n",
428
+ " <td>None</td>\n",
429
+ " </tr>\n",
430
+ " </tbody>\n",
431
+ "</table>\n",
432
+ "<p>5 rows × 23 columns</p>\n",
433
+ "</div>"
434
+ ],
435
+ "text/plain": [
436
+ " creationTimestamp id \\\n",
437
+ "200 1724633865 0xd7e3d0f71b8c6d19c21639d7e051dbd8fb6036c7 \n",
438
+ "201 1724549630 0xe5b58dc5da5d4f36c2520cc494e6396125dcaf34 \n",
439
+ "202 1690321980 0xe7ed8a5f2f0f17f7d584ae8ddd0592d1ac67791f \n",
440
+ "203 1724633310 0xf9613dbb29382018e604f666f33df1a462e26bbb \n",
441
+ "204 1724373085 0xfa1a0f1961a35c463630286bef8ff29521613ba7 \n",
442
+ "\n",
443
+ " liquidityMeasure liquidityParameter openingTimestamp \\\n",
444
+ "200 6677597715120281882 7000000000000000003 1725062400 \n",
445
+ "201 6370701121566728366 7000000000000000003 1724976000 \n",
446
+ "202 242918463834049 10000000000002729 1730502000 \n",
447
+ "203 6898633531370163255 7000000000000000003 1725062400 \n",
448
+ "204 6763920134694989087 7000000000000000021 1724803200 \n",
449
+ "\n",
450
+ " outcomeTokenAmounts \\\n",
451
+ "200 [9539281035899715502, 5136655458162468477] \n",
452
+ "201 [4504209296945904222, 10878712948180412338] \n",
453
+ "202 [121477155290599, 823200047456111971] \n",
454
+ "203 [8307248786318638362, 5898463048404064425] \n",
455
+ "204 [5378798833037069370, 9109840602150347095] \n",
456
+ "\n",
457
+ " title sample_timestamp \\\n",
458
+ "200 Will Meta and Snap debut their rival AR glasse... 1724679627 \n",
459
+ "201 Will Google's Essentials app for Windows PC be... 1724679627 \n",
460
+ "202 Will Twitter implement a new misinformation po... 1724679627 \n",
461
+ "203 Will Elon Musk's X staff receive their stocks ... 1724679627 \n",
462
+ "204 Will Google’s AI tool 'Reimagine' create contr... 1724679627 \n",
463
+ "\n",
464
+ " open total_trades ... sample_datetime first_token_perc \\\n",
465
+ "200 True 11 ... 2024-08-26 15:40:27 35.00 \n",
466
+ "201 True 12 ... 2024-08-26 15:40:27 70.72 \n",
467
+ "202 True 255 ... 2024-08-26 15:40:27 99.99 \n",
468
+ "203 True 10 ... 2024-08-26 15:40:27 41.52 \n",
469
+ "204 True 81 ... 2024-08-26 15:40:27 62.88 \n",
470
+ "\n",
471
+ " second_token_perc mean_trade_size total_bet_amount \\\n",
472
+ "200 65.00 0.550909 6.060 \n",
473
+ "201 29.28 0.385250 4.623 \n",
474
+ "202 0.01 0.373357 95.206 \n",
475
+ "203 58.48 0.210200 2.102 \n",
476
+ "204 37.12 0.454123 36.784 \n",
477
+ "\n",
478
+ " price_weighted_first_outcome_perc price_weighted_second_outcome_perc \\\n",
479
+ "200 18.93 81.07 \n",
480
+ "201 95.67 4.33 \n",
481
+ "202 55.20 44.80 \n",
482
+ "203 17.13 82.87 \n",
483
+ "204 58.56 41.44 \n",
484
+ "\n",
485
+ " bought_tokens_first_perc bought_tokens_second_perc resolutionTimestamp \n",
486
+ "200 30.35 69.65 None \n",
487
+ "201 91.50 8.50 None \n",
488
+ "202 50.22 49.78 None \n",
489
+ "203 19.24 80.76 None \n",
490
+ "204 52.60 47.40 None \n",
491
+ "\n",
492
+ "[5 rows x 23 columns]"
493
+ ]
494
+ },
495
+ "execution_count": 3,
496
+ "metadata": {},
497
+ "output_type": "execute_result"
498
+ }
499
+ ],
500
+ "source": [
501
+ "live_fpmms.tail()"
502
+ ]
503
+ },
504
+ {
505
+ "cell_type": "code",
506
+ "execution_count": 38,
507
  "metadata": {},
508
  "outputs": [
509
  {
 
534
  "dtype: int64"
535
  ]
536
  },
537
+ "execution_count": 38,
538
  "metadata": {},
539
  "output_type": "execute_result"
540
  }
 
597
  },
598
  {
599
  "cell_type": "code",
600
+ "execution_count": 39,
601
  "metadata": {},
602
  "outputs": [
603
  {
 
605
  "text/plain": [
606
  "sample_timestamp\n",
607
  "1724320709 41\n",
608
+ "1724340348 41\n",
609
  "Name: count, dtype: int64"
610
  ]
611
  },
612
+ "execution_count": 39,
613
  "metadata": {},
614
  "output_type": "execute_result"
615
  }
 
618
  "live_fpmms.sample_timestamp.value_counts()"
619
  ]
620
  },
621
+ {
622
+ "cell_type": "code",
623
+ "execution_count": 40,
624
+ "metadata": {},
625
+ "outputs": [],
626
+ "source": [
627
+ "avg_dist_gap_perc = live_fpmms.groupby(\"sample_datetime\")[\"dist_gap_perc\"].mean().reset_index()"
628
+ ]
629
+ },
630
+ {
631
+ "cell_type": "code",
632
+ "execution_count": 43,
633
+ "metadata": {},
634
+ "outputs": [],
635
+ "source": [
636
+ "avg_dist_gap_perc.rename(columns={\"dist_gap_perc\":\"mean_dist_gap_perc\"}, inplace=True)"
637
+ ]
638
+ },
639
+ {
640
+ "cell_type": "code",
641
+ "execution_count": 44,
642
+ "metadata": {},
643
+ "outputs": [
644
+ {
645
+ "data": {
646
+ "text/html": [
647
+ "<div>\n",
648
+ "<style scoped>\n",
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+ "</style>\n",
661
+ "<table border=\"1\" class=\"dataframe\">\n",
662
+ " <thead>\n",
663
+ " <tr style=\"text-align: right;\">\n",
664
+ " <th></th>\n",
665
+ " <th>sample_datetime</th>\n",
666
+ " <th>mean_dist_gap_perc</th>\n",
667
+ " </tr>\n",
668
+ " </thead>\n",
669
+ " <tbody>\n",
670
+ " <tr>\n",
671
+ " <th>0</th>\n",
672
+ " <td>2024-08-22 11:58:29</td>\n",
673
+ " <td>18.808293</td>\n",
674
+ " </tr>\n",
675
+ " <tr>\n",
676
+ " <th>1</th>\n",
677
+ " <td>2024-08-22 17:25:48</td>\n",
678
+ " <td>12.970732</td>\n",
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+ " </tr>\n",
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+ " </tbody>\n",
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+ "</table>\n",
682
+ "</div>"
683
+ ],
684
+ "text/plain": [
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+ " sample_datetime mean_dist_gap_perc\n",
686
+ "0 2024-08-22 11:58:29 18.808293\n",
687
+ "1 2024-08-22 17:25:48 12.970732"
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+ ]
689
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+ "execution_count": 44,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
694
+ ],
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+ "source": [
696
+ "avg_dist_gap_perc"
697
+ ]
698
+ },
699
  {
700
  "cell_type": "code",
701
  "execution_count": 6,