cyberosa
commited on
Commit
·
7968201
1
Parent(s):
6c470e7
upgrading python version and new metric filter
Browse files- README.md +1 -0
- live_data/analysis_of_markets_data.ipynb +286 -282
- live_data/markets_live_data.parquet +2 -2
- requirements.txt +0 -1
- scripts/live_markets_data.py +19 -17
- scripts/live_traders_data.py +21 -23
- scripts/queries.py +4 -3
README.md
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sdk: gradio
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sdk_version: 4.39.0
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app_file: app.py
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pinned: false
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sdk: gradio
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python_version: 3.12.2
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sdk_version: 4.39.0
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app_file: app.py
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pinned: false
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live_data/analysis_of_markets_data.ipynb
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"openingTimestamp\n",
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"text": [
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"<class 'pandas.core.frame.DataFrame'>\n",
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"RangeIndex:
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"Data columns (total 16 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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" 0 creationTimestamp
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"text": [
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" title = Will Conns HomePlus close more than 70 stores by 30 July 2024?\n",
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-
" title = Will the missing plane in Alaska be found by 29 July 2024?\n",
|
585 |
-
" title = Will Apple Maps surpass Google Maps in terms of users by 31 July 2024?\n",
|
586 |
" title = Will the new AI-powered upgrade for the Philips Hue camera be released by 1 August 2024?\n",
|
587 |
" title = Will Harvey Weinstein recover from Covid-19 and double pneumonia by August 1, 2024?\n",
|
588 |
-
" title = Will Roku successfully introduce Instagram-style shoppable ads on its platform by 30 July 2024?\n",
|
589 |
-
" title = Will the Google Pixel 9 and Pixel 9 Pro be released by 29th July 2024?\n",
|
590 |
-
" title = Will Southwest Airlines start assigning seats and premium seating by 31st July 2024?\n",
|
591 |
" title = Will Tesla's net income increase in the third quarter of 2024?\n",
|
|
|
592 |
" title = Will the wildfire in California be under control on or by 1 August 2024?\n",
|
593 |
-
" title = Will the
|
594 |
-
" title = Will Aston Martin officially announce their return to Le Mans in 2025 on 29 July 2024?\n",
|
595 |
" title = Will the Disney Plus, Hulu, and Max streaming bundle surpass 5 million subscribers by 2nd August 2024?\n",
|
596 |
-
" title = Will the population of Florida exceed 23 million by 29 July 2024?\n",
|
597 |
" title = Will non-binary athletes win any medals at the Paris Olympics on 1 August 2024?\n",
|
598 |
-
" title = Will
|
599 |
-
" title = Will
|
600 |
-
" title = Will OpenAI's SearchGPT be launched fully on or before 31 July 2024?\n",
|
601 |
" title = Will the Kids Online Safety Act be passed by Congress by 1 August 2024?\n",
|
602 |
-
" title = Will the
|
603 |
-
" title = Will
|
604 |
" title = Will the Paris Olympics occur without any major security concerns on 2 August 2024?\n",
|
605 |
" title = Will Apple's launch of Maps on the web surpass Google Maps in user count by August 1, 2024?\n",
|
|
|
606 |
" title = Will Microsoft implement the proposed changes to Windows by 1 August 2024?\n",
|
607 |
-
" title = Will
|
608 |
" title = Will US GDP growth exceed 2.8% in the third quarter of 2024?\n",
|
609 |
-
" title = Will
|
610 |
-
" title = Will
|
611 |
-
" title = Will
|
|
|
612 |
" title = Will Russia increase its naval visits to Cuba by 2 August 2024?\n",
|
613 |
-
" title = Will
|
614 |
" title = Will 'Hillbilly Elegy' by VP candidate JD Vance be in the top 10 bestsellers on 2 August 2024?\n",
|
615 |
" title = Will Microsoft introduce taskbar-related changes to Windows 11 by 2 August 2024?\n",
|
|
|
616 |
" title = Will the US operation succeed in capturing all Sinaloa cartel leaders by August 1, 2024?\n",
|
617 |
-
" title = Will the Boeing capsule return the two NASA astronauts from the International Space Station on or before 31 July 2024?\n",
|
618 |
-
" title = Will Kamala Harris win the 2024 presidential election on 29 July 2024?\n",
|
619 |
-
" title = Will there be another eruption at Yellowstone on 30 July 2024?\n",
|
620 |
-
" title = Will the Google Pixel 9 series be launched by 31st July 2024?\n",
|
621 |
" title = Will TSMC start 4-nanometer chip production in its Phoenix, Arizona factory by the end of 2025?\n",
|
622 |
" title = Will the Park Fire in California be fully contained on or by 2 August 2024?\n",
|
623 |
-
" title = Will
|
624 |
-
" title = Will
|
625 |
-
" title = Will
|
626 |
-
" title = Will
|
|
|
627 |
" title = Will Pep Guardiola announce his extension with Manchester City on 1 August 2024?\n",
|
628 |
-
" title = Will Kamala Harris beat Donald Trump in the 2024 Presidential Elections?\n",
|
629 |
" title = Will a solar-powered car break the Cannonball Run record by 2nd August 2024?\n",
|
630 |
-
" title = Will the George Floyd Justice in Policing Act be passed by 31st July 2024?\n",
|
631 |
" title = Will HP release a new AI software or hardware on or before August 2, 2024?\n",
|
632 |
" title = Will Twitter implement a new misinformation policy before the 2024 elections?\n",
|
633 |
-
" title = Will
|
634 |
-
" title = Will
|
635 |
]
|
636 |
}
|
637 |
],
|
@@ -752,7 +756,7 @@
|
|
752 |
},
|
753 |
{
|
754 |
"cell_type": "code",
|
755 |
-
"execution_count":
|
756 |
"metadata": {},
|
757 |
"outputs": [],
|
758 |
"source": [
|
|
|
14 |
},
|
15 |
{
|
16 |
"cell_type": "code",
|
17 |
+
"execution_count": 56,
|
18 |
"metadata": {},
|
19 |
"outputs": [
|
20 |
{
|
|
|
59 |
" <tbody>\n",
|
60 |
" <tr>\n",
|
61 |
" <th>0</th>\n",
|
62 |
+
" <td>1722127095</td>\n",
|
63 |
+
" <td>0x18386924426f7c8ab7f5db4ad586c12dac5cd5e3</td>\n",
|
64 |
+
" <td>5357434458586455820</td>\n",
|
65 |
+
" <td>7000000000000000008</td>\n",
|
66 |
+
" <td>1722556800</td>\n",
|
67 |
+
" <td>[3259539556698765978, 15032798083182885068]</td>\n",
|
68 |
" <td>{'answers': [], 'currentAnswerTimestamp': None...</td>\n",
|
69 |
+
" <td>Will the new AI-powered upgrade for the Philip...</td>\n",
|
70 |
+
" <td>1722423299</td>\n",
|
71 |
" <td>True</td>\n",
|
72 |
+
" <td>27</td>\n",
|
73 |
+
" <td>45.14</td>\n",
|
74 |
+
" <td>62.96</td>\n",
|
75 |
+
" <td>37.04</td>\n",
|
76 |
+
" <td>17.82</td>\n",
|
77 |
+
" <td>82.18</td>\n",
|
78 |
" </tr>\n",
|
79 |
" <tr>\n",
|
80 |
" <th>1</th>\n",
|
81 |
+
" <td>1722133525</td>\n",
|
82 |
+
" <td>0x1f0f1fd3fcb3b49eeeb6197abcb5c44c1907dfbd</td>\n",
|
83 |
+
" <td>6977882567566373948</td>\n",
|
84 |
+
" <td>7000000000000000010</td>\n",
|
85 |
+
" <td>1722556800</td>\n",
|
86 |
+
" <td>[6464408186664933119, 7579966887159038865]</td>\n",
|
87 |
" <td>{'answers': [], 'currentAnswerTimestamp': None...</td>\n",
|
88 |
+
" <td>Will Harvey Weinstein recover from Covid-19 an...</td>\n",
|
89 |
+
" <td>1722423299</td>\n",
|
90 |
" <td>True</td>\n",
|
91 |
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" <td>37</td>\n",
|
92 |
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" <td>16.13</td>\n",
|
93 |
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" <td>62.16</td>\n",
|
94 |
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" <td>37.84</td>\n",
|
95 |
+
" <td>46.03</td>\n",
|
96 |
+
" <td>53.97</td>\n",
|
97 |
" </tr>\n",
|
98 |
" <tr>\n",
|
99 |
" <th>2</th>\n",
|
100 |
+
" <td>1722132875</td>\n",
|
101 |
+
" <td>0x3725b8f54cc53b468cdc165ee10218344b607158</td>\n",
|
102 |
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" <td>6909621707239077880</td>\n",
|
103 |
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" <td>7000000000000000010</td>\n",
|
104 |
" <td>1722556800</td>\n",
|
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" <td>[5955677720374361649, 8227443172818283549]</td>\n",
|
106 |
" <td>{'answers': [], 'currentAnswerTimestamp': None...</td>\n",
|
107 |
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" <td>Will Tesla's net income increase in the third ...</td>\n",
|
108 |
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" <td>1722423299</td>\n",
|
109 |
" <td>True</td>\n",
|
110 |
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" <td>41</td>\n",
|
111 |
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" <td>9.23</td>\n",
|
112 |
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" <td>51.22</td>\n",
|
113 |
+
" <td>48.78</td>\n",
|
114 |
+
" <td>41.99</td>\n",
|
115 |
+
" <td>58.01</td>\n",
|
116 |
" </tr>\n",
|
117 |
" <tr>\n",
|
118 |
" <th>3</th>\n",
|
119 |
+
" <td>1722300340</td>\n",
|
120 |
+
" <td>0x38d2b80cbd152b93a8df640a21d80e4b9d75039a</td>\n",
|
121 |
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" <td>6990748493371702452</td>\n",
|
122 |
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" <td>7000000000000000007</td>\n",
|
123 |
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" <td>1722729600</td>\n",
|
124 |
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" <td>[6649016172429909848, 7369511327582280786]</td>\n",
|
125 |
" <td>{'answers': [], 'currentAnswerTimestamp': None...</td>\n",
|
126 |
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" <td>Will SpaceX launch Falcon 9 rocket on 3 August...</td>\n",
|
127 |
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" <td>1722423299</td>\n",
|
128 |
" <td>True</td>\n",
|
129 |
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" <td>23</td>\n",
|
130 |
+
" <td>13.44</td>\n",
|
131 |
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" <td>60.87</td>\n",
|
132 |
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" <td>39.13</td>\n",
|
133 |
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" <td>47.43</td>\n",
|
134 |
+
" <td>52.57</td>\n",
|
135 |
" </tr>\n",
|
136 |
" <tr>\n",
|
137 |
" <th>4</th>\n",
|
138 |
+
" <td>1722125375</td>\n",
|
139 |
+
" <td>0x39e657d48714c483b7ee2bc9314e6c7ad63d2d79</td>\n",
|
140 |
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" <td>6984860773463178504</td>\n",
|
141 |
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" <td>7000000000000000013</td>\n",
|
142 |
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" <td>1722556800</td>\n",
|
143 |
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" <td>[6554044347951723468, 7476299731678429895]</td>\n",
|
144 |
" <td>{'answers': [], 'currentAnswerTimestamp': None...</td>\n",
|
145 |
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" <td>Will the wildfire in California be under contr...</td>\n",
|
146 |
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" <td>1722423299</td>\n",
|
147 |
" <td>True</td>\n",
|
148 |
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" <td>53</td>\n",
|
149 |
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" <td>4.23</td>\n",
|
150 |
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" <td>50.94</td>\n",
|
151 |
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" <td>49.06</td>\n",
|
152 |
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" <td>46.71</td>\n",
|
153 |
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" <td>53.29</td>\n",
|
154 |
" </tr>\n",
|
155 |
" </tbody>\n",
|
156 |
"</table>\n",
|
|
|
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],
|
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"text/plain": [
|
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{
|
|
|
332 |
" </thead>\n",
|
333 |
" <tbody>\n",
|
334 |
" <tr>\n",
|
335 |
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" <th>37</th>\n",
|
336 |
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" <td>1722212580</td>\n",
|
337 |
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" <td>0xdda18501129700e4fdc92432697f948276b890ed</td>\n",
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|
343 |
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|
344 |
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" <td>1722423299</td>\n",
|
345 |
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|
346 |
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" <td>10</td>\n",
|
347 |
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|
348 |
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" <td>0.00</td>\n",
|
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|
350 |
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|
351 |
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" <td>19.25</td>\n",
|
352 |
" </tr>\n",
|
353 |
" <tr>\n",
|
354 |
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" <th>38</th>\n",
|
355 |
" <td>1722221950</td>\n",
|
356 |
" <td>0xe67bb5f7355c5383db4ca3d04496dbc5258fe4f0</td>\n",
|
357 |
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|
358 |
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" <td>7000000000000000007</td>\n",
|
359 |
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|
360 |
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" <td>[3216368448721577775, 15234573022713307875]</td>\n",
|
361 |
" <td>{'answers': [], 'currentAnswerTimestamp': None...</td>\n",
|
362 |
" <td>Will HP release a new AI software or hardware ...</td>\n",
|
363 |
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" <td>1722423299</td>\n",
|
364 |
" <td>True</td>\n",
|
365 |
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" <td>21</td>\n",
|
366 |
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" <td>49.24</td>\n",
|
367 |
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" <td>66.67</td>\n",
|
368 |
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" <td>33.33</td>\n",
|
369 |
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" <td>17.43</td>\n",
|
370 |
+
" <td>82.57</td>\n",
|
371 |
" </tr>\n",
|
372 |
" <tr>\n",
|
373 |
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" <th>39</th>\n",
|
374 |
" <td>1690321980</td>\n",
|
375 |
" <td>0xe7ed8a5f2f0f17f7d584ae8ddd0592d1ac67791f</td>\n",
|
376 |
" <td>228054710678899</td>\n",
|
|
|
379 |
" <td>[114042185304014, 876868500313803307]</td>\n",
|
380 |
" <td>{'answers': [], 'currentAnswerTimestamp': None...</td>\n",
|
381 |
" <td>Will Twitter implement a new misinformation po...</td>\n",
|
382 |
+
" <td>1722423299</td>\n",
|
383 |
" <td>True</td>\n",
|
384 |
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" <td>200</td>\n",
|
385 |
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" <td>60.49</td>\n",
|
386 |
+
" <td>60.50</td>\n",
|
387 |
+
" <td>39.50</td>\n",
|
388 |
" <td>0.01</td>\n",
|
389 |
" <td>99.99</td>\n",
|
390 |
" </tr>\n",
|
391 |
" <tr>\n",
|
392 |
+
" <th>40</th>\n",
|
393 |
+
" <td>1722386975</td>\n",
|
394 |
+
" <td>0xe8cbe98177fd3c8c87bbfbb490089d8eeb0626f1</td>\n",
|
395 |
+
" <td>6887825265154595082</td>\n",
|
396 |
+
" <td>7000000000000000003</td>\n",
|
397 |
+
" <td>1722816000</td>\n",
|
398 |
+
" <td>[5845530536838973482, 8382472675696125685]</td>\n",
|
399 |
" <td>{'answers': [], 'currentAnswerTimestamp': None...</td>\n",
|
400 |
+
" <td>Will Robert Downey Jr appear in the announced ...</td>\n",
|
401 |
+
" <td>1722423299</td>\n",
|
402 |
" <td>True</td>\n",
|
403 |
+
" <td>11</td>\n",
|
404 |
+
" <td>4.37</td>\n",
|
405 |
+
" <td>45.45</td>\n",
|
406 |
+
" <td>54.55</td>\n",
|
407 |
+
" <td>41.08</td>\n",
|
408 |
+
" <td>58.92</td>\n",
|
409 |
" </tr>\n",
|
410 |
" <tr>\n",
|
411 |
+
" <th>41</th>\n",
|
412 |
+
" <td>1722223250</td>\n",
|
413 |
+
" <td>0xf2d66476f8c4b9e7a5401bf3e777ddb54f83b597</td>\n",
|
414 |
+
" <td>6292372117023262534</td>\n",
|
415 |
+
" <td>7000000000000000010</td>\n",
|
416 |
+
" <td>1722643200</td>\n",
|
417 |
+
" <td>[4375376549185758232, 11199036117044308589]</td>\n",
|
418 |
" <td>{'answers': [], 'currentAnswerTimestamp': None...</td>\n",
|
419 |
+
" <td>Will Intel release a patch to fix the instabil...</td>\n",
|
420 |
+
" <td>1722423299</td>\n",
|
421 |
" <td>True</td>\n",
|
422 |
+
" <td>33</td>\n",
|
423 |
+
" <td>41.61</td>\n",
|
424 |
+
" <td>69.70</td>\n",
|
425 |
+
" <td>30.30</td>\n",
|
426 |
+
" <td>28.09</td>\n",
|
427 |
+
" <td>71.91</td>\n",
|
428 |
" </tr>\n",
|
429 |
" </tbody>\n",
|
430 |
"</table>\n",
|
|
|
432 |
],
|
433 |
"text/plain": [
|
434 |
" creationTimestamp id \\\n",
|
435 |
+
"37 1722212580 0xdda18501129700e4fdc92432697f948276b890ed \n",
|
436 |
+
"38 1722221950 0xe67bb5f7355c5383db4ca3d04496dbc5258fe4f0 \n",
|
437 |
+
"39 1690321980 0xe7ed8a5f2f0f17f7d584ae8ddd0592d1ac67791f \n",
|
438 |
+
"40 1722386975 0xe8cbe98177fd3c8c87bbfbb490089d8eeb0626f1 \n",
|
439 |
+
"41 1722223250 0xf2d66476f8c4b9e7a5401bf3e777ddb54f83b597 \n",
|
440 |
"\n",
|
441 |
" liquidityMeasure liquidityParameter openingTimestamp \\\n",
|
442 |
+
"37 5519746643162243029 7000000000000000004 1722643200 \n",
|
443 |
+
"38 5311382085934218416 7000000000000000007 1722643200 \n",
|
444 |
+
"39 228054710678899 10000000000001981 1730502000 \n",
|
445 |
+
"40 6887825265154595082 7000000000000000003 1722816000 \n",
|
446 |
+
"41 6292372117023262534 7000000000000000010 1722643200 \n",
|
447 |
"\n",
|
448 |
" outcomeTokenAmounts \\\n",
|
449 |
+
"37 [14336616250453709233, 3417821830757958855] \n",
|
450 |
+
"38 [3216368448721577775, 15234573022713307875] \n",
|
451 |
+
"39 [114042185304014, 876868500313803307] \n",
|
452 |
+
"40 [5845530536838973482, 8382472675696125685] \n",
|
453 |
+
"41 [4375376549185758232, 11199036117044308589] \n",
|
454 |
"\n",
|
455 |
" question \\\n",
|
456 |
+
"37 {'answers': [], 'currentAnswerTimestamp': None... \n",
|
457 |
+
"38 {'answers': [], 'currentAnswerTimestamp': None... \n",
|
458 |
+
"39 {'answers': [], 'currentAnswerTimestamp': None... \n",
|
459 |
+
"40 {'answers': [], 'currentAnswerTimestamp': None... \n",
|
460 |
+
"41 {'answers': [], 'currentAnswerTimestamp': None... \n",
|
461 |
"\n",
|
462 |
" title tokens_timestamp open \\\n",
|
463 |
+
"37 Will a solar-powered car break the Cannonball ... 1722423299 True \n",
|
464 |
+
"38 Will HP release a new AI software or hardware ... 1722423299 True \n",
|
465 |
+
"39 Will Twitter implement a new misinformation po... 1722423299 True \n",
|
466 |
+
"40 Will Robert Downey Jr appear in the announced ... 1722423299 True \n",
|
467 |
+
"41 Will Intel release a patch to fix the instabil... 1722423299 True \n",
|
468 |
"\n",
|
469 |
" total_trades dist_gap_perc votes_first_outcome_perc \\\n",
|
470 |
+
"37 10 80.75 0.00 \n",
|
471 |
+
"38 21 49.24 66.67 \n",
|
472 |
+
"39 200 60.49 60.50 \n",
|
473 |
+
"40 11 4.37 45.45 \n",
|
474 |
+
"41 33 41.61 69.70 \n",
|
475 |
"\n",
|
476 |
" votes_second_outcome_perc first_token_perc second_token_perc \n",
|
477 |
+
"37 100.00 80.75 19.25 \n",
|
478 |
+
"38 33.33 17.43 82.57 \n",
|
479 |
+
"39 39.50 0.01 99.99 \n",
|
480 |
+
"40 54.55 41.08 58.92 \n",
|
481 |
+
"41 30.30 28.09 71.91 "
|
482 |
]
|
483 |
},
|
484 |
+
"execution_count": 62,
|
485 |
"metadata": {},
|
486 |
"output_type": "execute_result"
|
487 |
}
|
|
|
490 |
"live_fpmms.tail()"
|
491 |
]
|
492 |
},
|
|
|
|
|
|
|
|
|
|
|
493 |
{
|
494 |
"cell_type": "code",
|
495 |
+
"execution_count": 63,
|
496 |
"metadata": {},
|
497 |
"outputs": [
|
498 |
{
|
|
|
500 |
"output_type": "stream",
|
501 |
"text": [
|
502 |
"<class 'pandas.core.frame.DataFrame'>\n",
|
503 |
+
"RangeIndex: 42 entries, 0 to 41\n",
|
504 |
"Data columns (total 16 columns):\n",
|
505 |
" # Column Non-Null Count Dtype \n",
|
506 |
"--- ------ -------------- ----- \n",
|
507 |
+
" 0 creationTimestamp 42 non-null object \n",
|
508 |
+
" 1 id 42 non-null object \n",
|
509 |
+
" 2 liquidityMeasure 42 non-null object \n",
|
510 |
+
" 3 liquidityParameter 42 non-null object \n",
|
511 |
+
" 4 openingTimestamp 42 non-null object \n",
|
512 |
+
" 5 outcomeTokenAmounts 42 non-null object \n",
|
513 |
+
" 6 question 42 non-null object \n",
|
514 |
+
" 7 title 42 non-null object \n",
|
515 |
+
" 8 tokens_timestamp 42 non-null int64 \n",
|
516 |
+
" 9 open 42 non-null bool \n",
|
517 |
+
" 10 total_trades 42 non-null int64 \n",
|
518 |
+
" 11 dist_gap_perc 42 non-null float64\n",
|
519 |
+
" 12 votes_first_outcome_perc 42 non-null float64\n",
|
520 |
+
" 13 votes_second_outcome_perc 42 non-null float64\n",
|
521 |
+
" 14 first_token_perc 42 non-null float64\n",
|
522 |
+
" 15 second_token_perc 42 non-null float64\n",
|
523 |
"dtypes: bool(1), float64(5), int64(2), object(8)\n",
|
524 |
+
"memory usage: 5.1+ KB\n"
|
525 |
]
|
526 |
}
|
527 |
],
|
|
|
531 |
},
|
532 |
{
|
533 |
"cell_type": "code",
|
534 |
+
"execution_count": 64,
|
535 |
"metadata": {},
|
536 |
"outputs": [
|
537 |
{
|
538 |
"data": {
|
539 |
"text/plain": [
|
540 |
+
"count 42.000000\n",
|
541 |
+
"mean 53.371190\n",
|
542 |
+
"std 26.533149\n",
|
543 |
+
"min 0.000000\n",
|
544 |
+
"25% 42.757500\n",
|
545 |
+
"50% 57.515000\n",
|
546 |
+
"75% 67.472500\n",
|
547 |
+
"max 100.000000\n",
|
548 |
"Name: votes_first_outcome_perc, dtype: float64"
|
549 |
]
|
550 |
},
|
551 |
+
"execution_count": 64,
|
552 |
"metadata": {},
|
553 |
"output_type": "execute_result"
|
554 |
}
|
|
|
559 |
},
|
560 |
{
|
561 |
"cell_type": "code",
|
562 |
+
"execution_count": 65,
|
563 |
"metadata": {},
|
564 |
"outputs": [
|
565 |
{
|
566 |
"data": {
|
567 |
"text/plain": [
|
568 |
+
"count 42.000000\n",
|
569 |
+
"mean 46.628810\n",
|
570 |
+
"std 26.533149\n",
|
571 |
"min 0.000000\n",
|
572 |
+
"25% 32.527500\n",
|
573 |
+
"50% 42.485000\n",
|
574 |
+
"75% 57.242500\n",
|
575 |
"max 100.000000\n",
|
576 |
"Name: votes_second_outcome_perc, dtype: float64"
|
577 |
]
|
578 |
},
|
579 |
+
"execution_count": 65,
|
580 |
"metadata": {},
|
581 |
"output_type": "execute_result"
|
582 |
}
|
|
|
587 |
},
|
588 |
{
|
589 |
"cell_type": "code",
|
590 |
+
"execution_count": 66,
|
591 |
"metadata": {},
|
592 |
"outputs": [
|
593 |
{
|
594 |
"name": "stdout",
|
595 |
"output_type": "stream",
|
596 |
"text": [
|
|
|
|
|
|
|
597 |
" title = Will the new AI-powered upgrade for the Philips Hue camera be released by 1 August 2024?\n",
|
598 |
" title = Will Harvey Weinstein recover from Covid-19 and double pneumonia by August 1, 2024?\n",
|
|
|
|
|
|
|
599 |
" title = Will Tesla's net income increase in the third quarter of 2024?\n",
|
600 |
+
" title = Will SpaceX launch Falcon 9 rocket on 3 August 2024?\n",
|
601 |
" title = Will the wildfire in California be under control on or by 1 August 2024?\n",
|
602 |
+
" title = Will the second season of 'The Rings of Power' be released on August 4, 2024?\n",
|
|
|
603 |
" title = Will the Disney Plus, Hulu, and Max streaming bundle surpass 5 million subscribers by 2nd August 2024?\n",
|
|
|
604 |
" title = Will non-binary athletes win any medals at the Paris Olympics on 1 August 2024?\n",
|
605 |
+
" title = Will Microsoft announce a major Windows update on 3 August 2024?\n",
|
606 |
+
" title = Will there be a hurricane in the central Atlantic on 3rd August 2024?\n",
|
|
|
607 |
" title = Will the Kids Online Safety Act be passed by Congress by 1 August 2024?\n",
|
608 |
+
" title = Will the water quality issues of the Seine River be resolved by 3 August 2024, allowing for the Olympic pre-race triathlon event?\n",
|
609 |
+
" title = Will New York City Mayor's emergency order suspending parts of new solitary confinement law be in effect on August 4, 2024?\n",
|
610 |
" title = Will the Paris Olympics occur without any major security concerns on 2 August 2024?\n",
|
611 |
" title = Will Apple's launch of Maps on the web surpass Google Maps in user count by August 1, 2024?\n",
|
612 |
+
" title = Will the hazardous materials on the highway connecting Los Angeles and Las Vegas be cleared by 4 August 2024?\n",
|
613 |
" title = Will Microsoft implement the proposed changes to Windows by 1 August 2024?\n",
|
614 |
+
" title = Will Samsung Galaxy S24 Ultra receive another camera upgrade with One UI 7 on or before 4 August 2024?\n",
|
615 |
" title = Will US GDP growth exceed 2.8% in the third quarter of 2024?\n",
|
616 |
+
" title = Will Yasmin Harper and Scarlett Mew Jensen win another medal in the Paris 2024 Olympics by 4 August 2024?\n",
|
617 |
+
" title = Will Pep Guardiola confirm his stay at Manchester City beyond the 2024-25 season on 3 August 2024?\n",
|
618 |
+
" title = Will OpenAI's AI-powered search engine, SearchGPT, have a full release by 4 August 2024?\n",
|
619 |
+
" title = Will Adam Peaty win a third consecutive 100m breaststroke Olympic gold medal at the 2024 Paris Olympics?\n",
|
620 |
" title = Will Russia increase its naval visits to Cuba by 2 August 2024?\n",
|
621 |
+
" title = Will there be a terrorist attack on French citizens during the Paris Olympics on 3 August 2024?\n",
|
622 |
" title = Will 'Hillbilly Elegy' by VP candidate JD Vance be in the top 10 bestsellers on 2 August 2024?\n",
|
623 |
" title = Will Microsoft introduce taskbar-related changes to Windows 11 by 2 August 2024?\n",
|
624 |
+
" title = Will there be a Tropical Hurricane in the Atlantic on 4 August 2024?\n",
|
625 |
" title = Will the US operation succeed in capturing all Sinaloa cartel leaders by August 1, 2024?\n",
|
|
|
|
|
|
|
|
|
626 |
" title = Will TSMC start 4-nanometer chip production in its Phoenix, Arizona factory by the end of 2025?\n",
|
627 |
" title = Will the Park Fire in California be fully contained on or by 2 August 2024?\n",
|
628 |
+
" title = Will Benjamin Netanyahu still be the Prime Minister of Israel on 4 August 2024?\n",
|
629 |
+
" title = Will the Boeing Starliner's first astronaut-crewed capsule return from the International Space Station on 4 August 2024?\n",
|
630 |
+
" title = Will Ismael 'El Mayo' Zambada be found guilty of US charges by 3 August 2024?\n",
|
631 |
+
" title = Will Kamala Harris win the US Presidential Elections on 3 August 2024?\n",
|
632 |
+
" title = Will the sales of smart kettles increase significantly on or before 3 August 2024?\n",
|
633 |
" title = Will Pep Guardiola announce his extension with Manchester City on 1 August 2024?\n",
|
|
|
634 |
" title = Will a solar-powered car break the Cannonball Run record by 2nd August 2024?\n",
|
|
|
635 |
" title = Will HP release a new AI software or hardware on or before August 2, 2024?\n",
|
636 |
" title = Will Twitter implement a new misinformation policy before the 2024 elections?\n",
|
637 |
+
" title = Will Robert Downey Jr appear in the announced 'Avengers Doomsday and Secret Wars' as Dr Doom by 4 August 2024?\n",
|
638 |
+
" title = Will Intel release a patch to fix the instability problems with 14th-gen and 13th-gen CPUs on or by 2 August 2024?\n"
|
639 |
]
|
640 |
}
|
641 |
],
|
|
|
756 |
},
|
757 |
{
|
758 |
"cell_type": "code",
|
759 |
+
"execution_count": 67,
|
760 |
"metadata": {},
|
761 |
"outputs": [],
|
762 |
"source": [
|
live_data/markets_live_data.parquet
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e29014d0396e1174838cbe49097cd73c21b8cd2168aeea23ba98240f16c96996
|
3 |
+
size 22391
|
requirements.txt
CHANGED
@@ -1,5 +1,4 @@
|
|
1 |
pandas==2.2.2
|
2 |
-
python_version==3.12.2
|
3 |
seaborn
|
4 |
matplotlib
|
5 |
huggingface-hub
|
|
|
1 |
pandas==2.2.2
|
|
|
2 |
seaborn
|
3 |
matplotlib
|
4 |
huggingface-hub
|
scripts/live_markets_data.py
CHANGED
@@ -55,7 +55,7 @@ from queries import (
|
|
55 |
FPMMS_FIELD,
|
56 |
)
|
57 |
|
58 |
-
logging.
|
59 |
|
60 |
ResponseItemType = List[Dict[str, str]]
|
61 |
SubgraphResponseType = Dict[str, ResponseItemType]
|
@@ -146,7 +146,7 @@ def query_subgraph(url: str, query: str, key: str) -> SubgraphResponseType:
|
|
146 |
def fpmms_fetcher(current_timestamp: int) -> Generator[ResponseItemType, int, None]:
|
147 |
"""An indefinite fetcher for the FPMMs."""
|
148 |
omen_subgraph = OMEN_SUBGRAPH_URL.substitute(subgraph_api_key=SUBGRAPH_API_KEY)
|
149 |
-
|
150 |
while True:
|
151 |
fpmm_id = yield
|
152 |
fpmms_query = FPMMS_WITH_TOKENS_QUERY.substitute(
|
@@ -166,20 +166,20 @@ def fpmms_fetcher(current_timestamp: int) -> Generator[ResponseItemType, int, No
|
|
166 |
liquidity_measure_field=LIQUIDIY_MEASURE_FIELD,
|
167 |
token_amounts_field=TOKEN_AMOUNTS_FIELD,
|
168 |
)
|
169 |
-
|
170 |
yield query_subgraph(omen_subgraph, fpmms_query, FPMMS_FIELD)
|
171 |
|
172 |
|
173 |
def fetch_fpmms(current_timestamp: int) -> pd.DataFrame:
|
174 |
"""Fetch all the fpmms of the creator."""
|
175 |
-
|
176 |
latest_id = ""
|
177 |
fpmms = []
|
178 |
fetcher = fpmms_fetcher(current_timestamp)
|
179 |
for _ in tqdm(fetcher, unit="fpmms", unit_scale=BATCH_SIZE):
|
180 |
batch = fetcher.send(latest_id)
|
181 |
if len(batch) == 0:
|
182 |
-
|
183 |
break
|
184 |
|
185 |
# TODO Add the incremental batching system from market creator
|
@@ -187,14 +187,14 @@ def fetch_fpmms(current_timestamp: int) -> pd.DataFrame:
|
|
187 |
# for fpmm in batch:
|
188 |
# if fpmm["id"] not in fpmms or "trades" not in prev_fpmms[fpmm["id"]]:
|
189 |
# prev_fpmms[fpmm["id"]] = fpmm
|
190 |
-
|
191 |
latest_id = batch[-1].get(ID_FIELD, "")
|
192 |
if latest_id == "":
|
193 |
raise ValueError(f"Unexpected data format retrieved: {batch}")
|
194 |
|
195 |
fpmms.extend(batch)
|
196 |
|
197 |
-
|
198 |
return pd.DataFrame(fpmms)
|
199 |
|
200 |
|
@@ -247,12 +247,12 @@ def transform_fpmms(fpmms: pd.DataFrame, filename: str, current_timestamp: int)
|
|
247 |
if old_fpmms is not None:
|
248 |
# update which markets are not open anymore
|
249 |
open_markets = list(fpmms.id.unique())
|
250 |
-
|
251 |
open_mask = old_fpmms["id"].isin(open_markets)
|
252 |
old_fpmms.loc[~open_mask, "open"] = False
|
253 |
|
254 |
# now concatenate
|
255 |
-
|
256 |
return pd.concat([old_fpmms, fpmms], axis=0, ignore_index=True)
|
257 |
|
258 |
return fpmms
|
@@ -262,20 +262,20 @@ def transform_fpmms(fpmms: pd.DataFrame, filename: str, current_timestamp: int)
|
|
262 |
def compute_distributions(filename: Optional[str]) -> pd.DataFrame:
|
263 |
"""Fetch, process, store and return the markets as a Dataframe."""
|
264 |
|
265 |
-
|
266 |
current_timestamp = int(datetime.now(UTC).timestamp())
|
267 |
fpmms = fetch_fpmms(current_timestamp)
|
268 |
-
|
269 |
-
|
270 |
|
271 |
-
|
272 |
fpmms = transform_fpmms(fpmms, filename, current_timestamp)
|
273 |
-
|
274 |
|
275 |
-
|
276 |
add_trading_info(fpmms, current_timestamp)
|
277 |
|
278 |
-
|
279 |
print(fpmms.info())
|
280 |
if filename:
|
281 |
fpmms.to_parquet(DATA_DIR / filename, index=False)
|
@@ -294,5 +294,7 @@ if __name__ == "__main__":
|
|
294 |
"%(asctime)s - %(name)s - %(levelname)s - %(message)s"
|
295 |
)
|
296 |
stream_handler.setFormatter(formatter)
|
297 |
-
|
|
|
|
|
298 |
compute_distributions("markets_live_data.parquet")
|
|
|
55 |
FPMMS_FIELD,
|
56 |
)
|
57 |
|
58 |
+
logger = logging.getLogger(__name__)
|
59 |
|
60 |
ResponseItemType = List[Dict[str, str]]
|
61 |
SubgraphResponseType = Dict[str, ResponseItemType]
|
|
|
146 |
def fpmms_fetcher(current_timestamp: int) -> Generator[ResponseItemType, int, None]:
|
147 |
"""An indefinite fetcher for the FPMMs."""
|
148 |
omen_subgraph = OMEN_SUBGRAPH_URL.substitute(subgraph_api_key=SUBGRAPH_API_KEY)
|
149 |
+
logger.debug(f"omen_subgraph = {omen_subgraph}")
|
150 |
while True:
|
151 |
fpmm_id = yield
|
152 |
fpmms_query = FPMMS_WITH_TOKENS_QUERY.substitute(
|
|
|
166 |
liquidity_measure_field=LIQUIDIY_MEASURE_FIELD,
|
167 |
token_amounts_field=TOKEN_AMOUNTS_FIELD,
|
168 |
)
|
169 |
+
logger.debug(f"Executing query {fpmms_query}")
|
170 |
yield query_subgraph(omen_subgraph, fpmms_query, FPMMS_FIELD)
|
171 |
|
172 |
|
173 |
def fetch_fpmms(current_timestamp: int) -> pd.DataFrame:
|
174 |
"""Fetch all the fpmms of the creator."""
|
175 |
+
logger.info("Fetching all markets")
|
176 |
latest_id = ""
|
177 |
fpmms = []
|
178 |
fetcher = fpmms_fetcher(current_timestamp)
|
179 |
for _ in tqdm(fetcher, unit="fpmms", unit_scale=BATCH_SIZE):
|
180 |
batch = fetcher.send(latest_id)
|
181 |
if len(batch) == 0:
|
182 |
+
logger.debug("no data")
|
183 |
break
|
184 |
|
185 |
# TODO Add the incremental batching system from market creator
|
|
|
187 |
# for fpmm in batch:
|
188 |
# if fpmm["id"] not in fpmms or "trades" not in prev_fpmms[fpmm["id"]]:
|
189 |
# prev_fpmms[fpmm["id"]] = fpmm
|
190 |
+
logger.debug(f"length of the data received = {len(batch)}")
|
191 |
latest_id = batch[-1].get(ID_FIELD, "")
|
192 |
if latest_id == "":
|
193 |
raise ValueError(f"Unexpected data format retrieved: {batch}")
|
194 |
|
195 |
fpmms.extend(batch)
|
196 |
|
197 |
+
logger.info("Finished collecting data")
|
198 |
return pd.DataFrame(fpmms)
|
199 |
|
200 |
|
|
|
247 |
if old_fpmms is not None:
|
248 |
# update which markets are not open anymore
|
249 |
open_markets = list(fpmms.id.unique())
|
250 |
+
logger.info("Updating market status of old markets")
|
251 |
open_mask = old_fpmms["id"].isin(open_markets)
|
252 |
old_fpmms.loc[~open_mask, "open"] = False
|
253 |
|
254 |
# now concatenate
|
255 |
+
logger.info("Appending new data to previous data")
|
256 |
return pd.concat([old_fpmms, fpmms], axis=0, ignore_index=True)
|
257 |
|
258 |
return fpmms
|
|
|
262 |
def compute_distributions(filename: Optional[str]) -> pd.DataFrame:
|
263 |
"""Fetch, process, store and return the markets as a Dataframe."""
|
264 |
|
265 |
+
logger.info("fetching new markets information")
|
266 |
current_timestamp = int(datetime.now(UTC).timestamp())
|
267 |
fpmms = fetch_fpmms(current_timestamp)
|
268 |
+
logger.debug("New collected data")
|
269 |
+
logger.debug(fpmms.head())
|
270 |
|
271 |
+
logger.info("transforming and updating previous data")
|
272 |
fpmms = transform_fpmms(fpmms, filename, current_timestamp)
|
273 |
+
logger.debug(fpmms.info())
|
274 |
|
275 |
+
logger.info("Adding trading information")
|
276 |
add_trading_info(fpmms, current_timestamp)
|
277 |
|
278 |
+
logger.info("saving the data")
|
279 |
print(fpmms.info())
|
280 |
if filename:
|
281 |
fpmms.to_parquet(DATA_DIR / filename, index=False)
|
|
|
294 |
"%(asctime)s - %(name)s - %(levelname)s - %(message)s"
|
295 |
)
|
296 |
stream_handler.setFormatter(formatter)
|
297 |
+
logging.basicConfig(
|
298 |
+
handlers=[logging.FileHandler("live_markets.log"), stream_handler]
|
299 |
+
)
|
300 |
compute_distributions("markets_live_data.parquet")
|
scripts/live_traders_data.py
CHANGED
@@ -13,21 +13,20 @@ from utils import (
|
|
13 |
from utils import SUBGRAPH_API_KEY, _to_content
|
14 |
from queries import omen_trader_votes_query
|
15 |
|
|
|
16 |
|
17 |
headers = {
|
18 |
"Accept": "application/json, multipart/mixed",
|
19 |
"Content-Type": "application/json",
|
20 |
}
|
21 |
|
22 |
-
logging.basicConfig(level=logging.INFO)
|
23 |
-
|
24 |
|
25 |
def _query_omen_xdai_subgraph(
|
26 |
fpmm_id: str,
|
27 |
) -> dict[str, Any]:
|
28 |
"""Query the subgraph."""
|
29 |
omen_subgraph = OMEN_SUBGRAPH_URL.substitute(subgraph_api_key=SUBGRAPH_API_KEY)
|
30 |
-
|
31 |
grouped_results = defaultdict(list)
|
32 |
id_gt = ""
|
33 |
|
@@ -38,7 +37,7 @@ def _query_omen_xdai_subgraph(
|
|
38 |
id_gt=id_gt,
|
39 |
fpmm_id=fpmm_id,
|
40 |
)
|
41 |
-
|
42 |
content_json = _to_content(query)
|
43 |
|
44 |
res = requests.post(omen_subgraph, headers=headers, json=content_json)
|
@@ -69,10 +68,10 @@ def _query_omen_xdai_subgraph(
|
|
69 |
|
70 |
def transform_trades(trades_json: dict) -> pd.DataFrame:
|
71 |
# convert to dataframe
|
72 |
-
|
73 |
df = pd.DataFrame(trades_json["data"]["fpmmTrades"])
|
74 |
if len(df) == 0:
|
75 |
-
|
76 |
return df
|
77 |
|
78 |
# print(df.info())
|
@@ -107,7 +106,7 @@ def compute_from_timestamp_value(
|
|
107 |
# the last value is the current timestamp so we need to take the previous one
|
108 |
return timestamps[-2]
|
109 |
except Exception as e:
|
110 |
-
|
111 |
f"Error when trying to get the from timestamp value of the market id {fpmm_id}"
|
112 |
)
|
113 |
return None
|
@@ -120,7 +119,7 @@ def compute_votes_distribution(market_trades: pd.DataFrame):
|
|
120 |
# outcomeIndex is always 1 or 0?
|
121 |
sum_outcome_index_1 = sum(market_trades.outcomeIndex)
|
122 |
print(f"The total number of votes for index 1 is {sum_outcome_index_1}")
|
123 |
-
|
124 |
percentage_index_1 = round((sum_outcome_index_1 / total_trades) * 100, 2)
|
125 |
return (100 - percentage_index_1), percentage_index_1
|
126 |
|
@@ -128,40 +127,39 @@ def compute_votes_distribution(market_trades: pd.DataFrame):
|
|
128 |
def add_trading_info(fpmms: pd.DataFrame, current_timestamp: int) -> None:
|
129 |
"""Function to update only the information related with the current timestamp"""
|
130 |
# Iterate over the markets
|
131 |
-
|
132 |
|
133 |
for i, fpmm in tqdm(fpmms.iterrows(), total=len(fpmms), desc="Analysing trades"):
|
134 |
# update the trades for this market and at this specific current_timestamp
|
135 |
-
|
136 |
to_update = fpmm["open"] and fpmm["tokens_timestamp"] == current_timestamp
|
137 |
if not to_update: # jump closed markets or old data
|
138 |
-
|
139 |
continue
|
140 |
market_id = fpmm["id"]
|
141 |
|
142 |
-
|
143 |
market_trades_json = _query_omen_xdai_subgraph(
|
144 |
fpmm_id=market_id,
|
145 |
)
|
146 |
market_trades = transform_trades(market_trades_json)
|
147 |
if len(market_trades) == 0:
|
148 |
-
|
149 |
continue
|
150 |
# to compute the votes distribution
|
151 |
-
|
152 |
-
|
153 |
first_outcome, second_outcome = compute_votes_distribution(market_trades)
|
154 |
-
|
155 |
f"first outcome votes ={first_outcome}, second outcome votes = {second_outcome}"
|
156 |
)
|
157 |
-
|
158 |
-
|
159 |
-
fpmm["votes_second_outcome_perc"] = second_outcome
|
160 |
metric = abs(fpmm["first_token_perc"] - first_outcome)
|
161 |
-
|
162 |
-
|
163 |
-
|
164 |
-
|
165 |
return
|
166 |
|
167 |
|
|
|
13 |
from utils import SUBGRAPH_API_KEY, _to_content
|
14 |
from queries import omen_trader_votes_query
|
15 |
|
16 |
+
logger = logging.getLogger(__name__)
|
17 |
|
18 |
headers = {
|
19 |
"Accept": "application/json, multipart/mixed",
|
20 |
"Content-Type": "application/json",
|
21 |
}
|
22 |
|
|
|
|
|
23 |
|
24 |
def _query_omen_xdai_subgraph(
|
25 |
fpmm_id: str,
|
26 |
) -> dict[str, Any]:
|
27 |
"""Query the subgraph."""
|
28 |
omen_subgraph = OMEN_SUBGRAPH_URL.substitute(subgraph_api_key=SUBGRAPH_API_KEY)
|
29 |
+
logger.info(f"omen_subgraph = {omen_subgraph}")
|
30 |
grouped_results = defaultdict(list)
|
31 |
id_gt = ""
|
32 |
|
|
|
37 |
id_gt=id_gt,
|
38 |
fpmm_id=fpmm_id,
|
39 |
)
|
40 |
+
logger.debug(f"query for the omen to collect trades {query}")
|
41 |
content_json = _to_content(query)
|
42 |
|
43 |
res = requests.post(omen_subgraph, headers=headers, json=content_json)
|
|
|
68 |
|
69 |
def transform_trades(trades_json: dict) -> pd.DataFrame:
|
70 |
# convert to dataframe
|
71 |
+
logger.info("transforming trades")
|
72 |
df = pd.DataFrame(trades_json["data"]["fpmmTrades"])
|
73 |
if len(df) == 0:
|
74 |
+
logger.warning("No trades for this market")
|
75 |
return df
|
76 |
|
77 |
# print(df.info())
|
|
|
106 |
# the last value is the current timestamp so we need to take the previous one
|
107 |
return timestamps[-2]
|
108 |
except Exception as e:
|
109 |
+
logger.error(
|
110 |
f"Error when trying to get the from timestamp value of the market id {fpmm_id}"
|
111 |
)
|
112 |
return None
|
|
|
119 |
# outcomeIndex is always 1 or 0?
|
120 |
sum_outcome_index_1 = sum(market_trades.outcomeIndex)
|
121 |
print(f"The total number of votes for index 1 is {sum_outcome_index_1}")
|
122 |
+
logger.info(f"The total number of votes for index 1 is {sum_outcome_index_1}")
|
123 |
percentage_index_1 = round((sum_outcome_index_1 / total_trades) * 100, 2)
|
124 |
return (100 - percentage_index_1), percentage_index_1
|
125 |
|
|
|
127 |
def add_trading_info(fpmms: pd.DataFrame, current_timestamp: int) -> None:
|
128 |
"""Function to update only the information related with the current timestamp"""
|
129 |
# Iterate over the markets
|
130 |
+
logger.info("Adding votes distribution per market")
|
131 |
|
132 |
for i, fpmm in tqdm(fpmms.iterrows(), total=len(fpmms), desc="Analysing trades"):
|
133 |
# update the trades for this market and at this specific current_timestamp
|
134 |
+
logger.debug(f"current timestamp = {current_timestamp} and market timestamp={fpmm["tokens_timestamp"]}")
|
135 |
to_update = fpmm["open"] and fpmm["tokens_timestamp"] == current_timestamp
|
136 |
if not to_update: # jump closed markets or old data
|
137 |
+
logger.debug("Jumping this row")
|
138 |
continue
|
139 |
market_id = fpmm["id"]
|
140 |
|
141 |
+
logger.info(f"Adding information for the market {market_id}")
|
142 |
market_trades_json = _query_omen_xdai_subgraph(
|
143 |
fpmm_id=market_id,
|
144 |
)
|
145 |
market_trades = transform_trades(market_trades_json)
|
146 |
if len(market_trades) == 0:
|
147 |
+
logger.info("No trades for this market")
|
148 |
continue
|
149 |
# to compute the votes distribution
|
150 |
+
logger.info("Computing the votes distribution")
|
151 |
+
fpmms.at[i,"total_trades"] = len(market_trades)
|
152 |
first_outcome, second_outcome = compute_votes_distribution(market_trades)
|
153 |
+
logger.info(
|
154 |
f"first outcome votes ={first_outcome}, second outcome votes = {second_outcome}"
|
155 |
)
|
156 |
+
fpmms.at[i,"votes_first_outcome_perc"] = first_outcome
|
157 |
+
fpmms.at[i,"votes_second_outcome_perc"] = second_outcome
|
|
|
158 |
metric = abs(fpmm["first_token_perc"] - first_outcome)
|
159 |
+
logger.info(f"metric for this market {metric}")
|
160 |
+
fpmms.at[i,"dist_gap_perc"] = metric
|
161 |
+
logger.debug("Dataset after adding trading info")
|
162 |
+
logger.debug(fpmms.head())
|
163 |
return
|
164 |
|
165 |
|
scripts/queries.py
CHANGED
@@ -43,9 +43,10 @@ FPMMS_WITH_TOKENS_QUERY = Template(
|
|
43 |
where: {
|
44 |
creator: "${creator}",
|
45 |
id_gt: "${fpmm_id}",
|
46 |
-
isPendingArbitration: false
|
47 |
-
currentAnswer: null
|
48 |
-
openingTimestamp_gt:${current_timestamp}
|
|
|
49 |
},
|
50 |
orderBy: ${id_field}
|
51 |
orderDirection: asc
|
|
|
43 |
where: {
|
44 |
creator: "${creator}",
|
45 |
id_gt: "${fpmm_id}",
|
46 |
+
isPendingArbitration: false,
|
47 |
+
currentAnswer: null,
|
48 |
+
openingTimestamp_gt:${current_timestamp},
|
49 |
+
outcomeTokenAmounts_not: ["0","0"]
|
50 |
},
|
51 |
orderBy: ${id_field}
|
52 |
orderDirection: asc
|