Commit e439c83b authored by Robert R. Walker's avatar Robert R. Walker
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Gm#,Date,,Tm,,Opp,W/L,R,RA,Inn,W-L,Rank,GB,Win,Loss,Save,Time,D/N,Attendance,cLI,Streak,Orig. Scheduled
1,Thursday Apr 7,boxscore,LAA,,HOU,L,1,3,,0-1,5,1.0,Valdez,Ohtani,Pressly,3:15,N,44723,.98,-,
2,Friday Apr 8,boxscore,LAA,,HOU,L,6,13,,0-2,5,2.0,Montero,Ortega,,3:44,N,42719,.93,--,
3,Saturday Apr 9,boxscore,LAA,,HOU,W,2,0,,1-2,3,1.5,Syndergaard,Verlander,Iglesias,3:02,N,36139,.93,+,
4,Sunday Apr 10,boxscore,LAA,,HOU,L,1,4,,1-3,5,2.0,Urquidy,Suarez,Pressly,3:15,D,41253,.96,-,
5,Monday Apr 11,boxscore,LAA,,MIA,W,6,2,,2-3,4,1.5,Lorenzen,Hernandez,,2:42,N,20480,.83,+,
6,Tuesday Apr 12,boxscore,LAA,,MIA,W-wo,4,3,,3-3,2,1.5,Iglesias,Bender,,2:59,D,16132,.84,++,
7,Thursday Apr 14,boxscore,LAA,@,TEX,L,5,10,,3-4,3,1.5,King,Ohtani,,3:30,N,21440,.97,-,
8,Friday Apr 15,boxscore,LAA,@,TEX,W,9,6,,4-4,2,0.5,Warren,Allard,Iglesias,3:32,N,28723,.95,+,
9,Saturday Apr 16,boxscore,LAA,@,TEX,W,7,2,,5-4,2,0.5,Syndergaard,Hearn,,3:10,N,34493,1.00,++,
10,Sunday Apr 17,boxscore,LAA,@,TEX,W,8,3,,6-4,1,up 0.5,Mayers,Perez,,3:25,D,22650,1.07,+++,
11,Monday Apr 18,boxscore,LAA,@,HOU,L,3,8,,6-5,2,0.5,Garcia,Lorenzen,,3:22,N,42646,1.12,-,
12,Tuesday Apr 19,boxscore,LAA,@,HOU,W,7,2,,7-5,1,Tied,Ortega,Valdez,,3:36,N,30212,1.11,+,
13,Wednesday Apr 20,boxscore,LAA,@,HOU,W,6,0,,8-5,1,up 0.5,Ohtani,Odorizzi,,3:08,N,29049,1.14,++,
14,Friday Apr 22,boxscore,LAA,,BAL,L,3,5,,8-6,1,Tied,Zimmermann,Detmers,Lopez,2:55,N,31679,1.11,-,
15,Saturday Apr 23,boxscore,LAA,,BAL,L,4,5,,8-7,2,1.0,Baker,Loup,Lopez,3:11,N,43883,1.04,--,
16,Sunday Apr 24,boxscore,LAA,,BAL,W,7,6,,9-7,2,1.0,Herget,Baumann,Bradley,3:42,D,41984,1.09,+,
17,Monday Apr 25,boxscore,LAA,,CLE,W,3,0,,10-7,2,0.5,Lorenzen,Bieber,Iglesias,2:22,N,23099,1.10,++,
18,Tuesday Apr 26,boxscore,LAA,,CLE,W,4,1,,11-7,2,0.5,Sandoval,McKenzie,Iglesias,2:34,N,22551,1.12,+++,
19,Wednesday Apr 27,boxscore,LAA,,CLE,W,9,5,,12-7,1,up 0.5,Ohtani,Plesac,,3:12,N,28557,1.14,++++,
20,Thursday Apr 28,boxscore,LAA,,CLE,W,4,1,,13-7,1,up 1.5,Detmers,Quantrill,Iglesias,2:35,D,18826,1.18,+++++,
21,Friday Apr 29,boxscore,LAA,@,CHW,W,5,1,,14-7,1,up 2.5,Warren,Giolito,Iglesias,3:19,N,23709,1.15,++++++,
22,Saturday Apr 30,boxscore,LAA,@,CHW,L,0,4,,14-8,1,up 2.5,Velasquez,Suarez,,2:55,D,33762,1.22,-,
23,Sunday May 1,boxscore,LAA,@,CHW,W,6,5,,15-8,1,up 2.5,Lorenzen,Keuchel,Tepera,3:15,D,27664,1.19,+,
24,Monday May 2,boxscore,LAA,@,CHW,L,0,3,,15-9,1,up 2.5,Cease,Sandoval,Hendriks,2:39,D,13112,1.25,-,
25,Tuesday May 3,boxscore,LAA,@,BOS,L,0,4,,15-10,1,up 1.5,Wacha,Syndergaard,,2:23,N,29793,1.21,--,
26,Wednesday May 4,boxscore,LAA,@,BOS,W,10,5,10,16-10,1,up 1.5,Tepera,Barnes,,3:42,N,27679,1.20,+,
27,Thursday May 5,boxscore,LAA,@,BOS,W,8,0,,17-10,1,up 1.5,Ohtani,Houck,,2:55,D,29476,1.25,++,
28,Friday May 6,boxscore,LAA,,WSN,W,3,0,,18-10,1,up 1.5,Diaz,Adon,Iglesias,2:28,N,41923,1.19,+++,
29,Saturday May 7,boxscore,LAA,,WSN,L,3,7,,18-11,1,up 0.5,Gray,Lorenzen,,3:02,N,30666,1.22,-,
30,Sunday May 8,boxscore,LAA,,WSN,W-wo,5,4,,19-11,1,up 0.5,Barria,Rainey,,3:26,D,32337,1.17,+,
31,Monday May 9,boxscore,LAA,,TBR,W,11,3,,20-11,1,up 1.0,Syndergaard,Springs,,3:02,N,19537,1.28,++,
32,Tuesday May 10,boxscore,LAA,,TBR,W,12,0,,21-11,1,up 1.0,Detmers,Kluber,,2:19,N,39313,1.29,+++,
33,Wednesday May 11,boxscore,LAA,,TBR,L,2,4,10,21-12,1,Tied,Feyereisen,Loup,Raley,3:17,D,21045,1.28,-,
34,Friday May 13,boxscore,LAA,@,OAK,W,2,0,,22-12,2,0.5,Silseth,Jefferies,Iglesias,2:30,N,13992,1.24,+,
35,Saturday May 14 (1),boxscore,LAA,@,OAK,L-wo,3,4,,22-13,1,Tied,Trivino,Iglesias,,3:18,D,12719,1.26,-,
36,Saturday May 14 (2),boxscore,LAA,@,OAK,W,9,1,,23-13,1,Tied,Lorenzen,Oller,,2:47,N,7737,1.28,+,
37,Sunday May 15,boxscore,LAA,@,OAK,W,4,1,,24-13,1,Tied,Sandoval,Montas,Herget,3:29,D,14668,1.25,++,
38,Monday May 16,boxscore,LAA,@,TEX,L,4,7,,24-14,1,Tied,Gray,Syndergaard,Barlow,2:51,N,15110,1.26,-,
39,Tuesday May 17,boxscore,LAA,@,TEX,L,5,10,,24-15,2,1.0,Santana,Tepera,,3:58,N,17727,1.24,--,
40,Wednesday May 18,boxscore,LAA,@,TEX,L-wo,5,6,10,24-16,2,1.0,Santana,Iglesias,,3:23,N,20366,1.28,---,
41,Friday May 20,boxscore,LAA,,OAK,L,2,4,,24-17,2,1.5,Moll,Silseth,Jimenez,3:24,N,32422,1.29,----,
42,Saturday May 21,boxscore,LAA,,OAK,W,5,3,,25-17,2,1.5,Lorenzen,Kolarek,Iglesias,3:12,N,39045,1.27,+,
43,Sunday May 22,boxscore,LAA,,OAK,W,4,1,,26-17,2,1.5,Sandoval,Irvin,Iglesias,2:49,D,40042,1.26,++,
44,Tuesday May 24,boxscore,LAA,,TEX,W,5,3,,27-17,2,1.0,Syndergaard,Dunning,Iglesias,2:30,N,23791,1.28,+++,
45,Wednesday May 25,boxscore,LAA,,TEX,L,2,7,,27-18,2,2.0,Otto,Detmers,,2:49,N,22950,1.27,-,
46,Thursday May 26,boxscore,LAA,,TOR,L,3,6,,27-19,2,2.5,Ryu,Ohtani,,2:56,N,28228,1.28,--,
47,Friday May 27,boxscore,LAA,,TOR,L,3,4,,27-20,2,2.5,Richards,Iglesias,Romano,3:05,N,44641,1.24,---,
48,Saturday May 28,boxscore,LAA,,TOR,L,5,6,,27-21,2,2.5,Cimber,Barraclough,Stripling,3:45,N,34005,1.29,----,
49,Sunday May 29,boxscore,LAA,,TOR,L,10,11,,27-22,2,3.5,Cimber,Quijada,Phelps,4:13,D,36568,1.24,-----,
50,Tuesday May 31,boxscore,LAA,@,NYY,L,1,9,,27-23,2,5.0,Montgomery,Syndergaard,,2:54,N,31242,1.16,------,
51,Thursday Jun 2 (1),boxscore,LAA,@,NYY,L,1,6,,27-24,2,6.5,Cortes,Ohtani,Peralta,3:07,D,30518,1.11,-------,
52,Thursday Jun 2 (2),boxscore,LAA,@,NYY,L,1,2,,27-25,2,6.5,Taillon,Ortega,Holmes,3:08,N,33476,1.08,--------,
53,Friday Jun 3,boxscore,LAA,@,PHI,L,0,10,,27-26,2,7.5,Eflin,Silseth,,2:41,N,28721,.98,---------,
54,Saturday Jun 4,boxscore,LAA,@,PHI,L,2,7,,27-27,2,7.5,Wheeler,Lorenzen,,3:05,N,36313,.89,----------,
55,Sunday Jun 5,boxscore,LAA,@,PHI,L-wo,7,9,,27-28,2,8.5,Knebel,Iglesias,,3:57,D,34801,.87,-----------,
56,Monday Jun 6,boxscore,LAA,,BOS,L,0,1,,27-29,2,8.5,Wacha,Syndergaard,,2:32,N,29395,.87,------------,
57,Tuesday Jun 7,boxscore,LAA,,BOS,L,5,6,10,27-30,2,9.5,Houck,Barria,Strahm,3:56,N,27627,.81,-------------,
58,Wednesday Jun 8,boxscore,LAA,,BOS,L,0,1,,27-31,2,9.5,Eovaldi,Herget,Strahm,3:09,N,26587,.78,--------------,
59,Thursday Jun 9,boxscore,LAA,,BOS,W,5,2,,28-31,2,9.0,Ohtani,Pivetta,Iglesias,3:09,N,28595,.69,+,
60,Friday Jun 10,boxscore,LAA,,NYM,L,3,7,,28-32,2,9.0,Peterson,Diaz,,3:21,N,31499,.68,-,
61,Saturday Jun 11,boxscore,LAA,,NYM,W,11,6,,29-32,2,8.0,Lorenzen,Carrasco,,3:21,N,36408,.61,+,
62,Sunday Jun 12,boxscore,LAA,,NYM,L,1,4,,29-33,3,9.0,Walker,Sandoval,Díaz,3:11,D,36598,.71,-,
63,Tuesday Jun 14,boxscore,LAA,@,LAD,L,0,2,,29-34,3,9.5,Gonsolin,Syndergaard,Kimbrel,2:58,N,51013,.61,--,
64,Wednesday Jun 15,boxscore,LAA,@,LAD,L,1,4,,29-35,3,10.5,Anderson,Detmers,,2:50,N,50812,.53,---,
65,Thursday Jun 16,boxscore,LAA,@,SEA,W,4,1,,30-35,3,10.0,Ohtani,Kirby,Iglesias,2:53,N,21485,.52,+,
66,Friday Jun 17,boxscore,LAA,@,SEA,L,1,8,,30-36,3,11.0,Ray,Lorenzen,,2:37,N,37500,.57,-,
67,Saturday Jun 18 (1),boxscore,LAA,@,SEA,W,4,2,10,31-36,3,9.5,Iglesias,Castillo,Quijada,3:24,D,24071,.49,+,
68,Saturday Jun 18 (2),boxscore,LAA,@,SEA,W,3,0,,32-36,3,9.5,Herget,Milone,Bradley,2:57,N,20804,.50,++,
69,Sunday Jun 19,boxscore,LAA,@,SEA,W,4,0,,33-36,2,9.5,Wantz,Gilbert,,2:44,D,39052,.66,+++,
70,Monday Jun 20,boxscore,LAA,,KCR,L,2,6,,33-37,2,10.0,Bubic,Syndergaard,,2:58,N,22234,.69,-,
71,Tuesday Jun 21,boxscore,LAA,,KCR,L,11,12,11,33-38,3,11.0,Coleman,Quijada,Mengden,4:14,N,20189,.59,--,
72,Wednesday Jun 22,boxscore,LAA,,KCR,W,5,0,,34-38,3,11.0,Ohtani,Lynch,,3:04,N,34792,.52,+,
73,Friday Jun 24,boxscore,LAA,,SEA,L,3,4,,34-39,3,11.5,Flexen,Lorenzen,Sewald,3:41,N,35704,.60,-,
74,Saturday Jun 25,boxscore,LAA,,SEA,L,3,5,,34-40,4,12.5,Gilbert,Bradley,Swanson,3:22,N,35466,.53,--,
75,Sunday Jun 26,boxscore,LAA,,SEA,W,2,1,,35-40,3,11.5,Suarez,Gonzales,Ortega,3:04,D,26489,.44,+,
76,Monday Jun 27,boxscore,LAA,,CHW,W,4,3,,36-40,3,11.0,Syndergaard,Lopez,Iglesias,2:42,N,21973,.48,++,
77,Tuesday Jun 28,boxscore,LAA,,CHW,L,4,11,,36-41,3,12.0,Cueto,Ortega,,3:16,N,23979,.53,-,
78,Wednesday Jun 29,boxscore,LAA,,CHW,W,4,1,,37-41,3,12.0,Ohtani,Kopech,Iglesias,3:21,N,27612,.49,+,
79,Friday Jul 1,boxscore,LAA,@,HOU,L,1,8,,37-42,3,13.5,Javier,Lorenzen,,2:45,N,36420,.54,-,
80,Saturday Jul 2,boxscore,LAA,@,HOU,L,1,9,,37-43,4,14.5,Urquidy,Sandoval,,2:51,D,35332,.47,--,
81,Sunday Jul 3,boxscore,LAA,@,HOU,L-wo,2,4,,37-44,4,15.5,Pressly,Tepera,,3:23,D,36048,.42,---,
82,Tuesday Jul 5,boxscore,LAA,@,MIA,L,1,2,,37-45,4,17.0,Alcantara,Syndergaard,Scott,2:47,N,13338,.34,----,
83,Wednesday Jul 6,boxscore,LAA,@,MIA,W,5,2,,38-45,4,16.0,Ohtani,Rogers,,3:07,N,18741,.27,+,
84,Thursday Jul 7,boxscore,LAA,@,BAL,L,1,4,,38-46,4,17.0,Lyles,Silseth,Lopez,3:00,N,13088,.36,-,
85,Friday Jul 8,boxscore,LAA,@,BAL,L-wo,4,5,,38-47,4,18.0,Tate,Iglesias,,3:30,N,27814,.33,--,
86,Saturday Jul 9,boxscore,LAA,@,BAL,L,0,1,,38-48,4,18.0,Kremer,Sandoval,Lopez,2:59,D,32286,.27,---,
87,Sunday Jul 10,boxscore,LAA,@,BAL,L,5,9,,38-49,4,19.0,Voth,Suarez,,2:48,D,19521,.24,----,
88,Tuesday Jul 12,boxscore,LAA,,HOU,L,5,6,,38-50,4,20.0,Neris,Iglesias,Pressly,3:37,N,27180,.18,-----,
89,Wednesday Jul 13,boxscore,LAA,,HOU,W,7,1,,39-50,4,19.0,Ohtani,Javier,,3:45,N,27803,.15,+,
90,Thursday Jul 14,boxscore,LAA,,HOU,L,2,3,10,39-51,4,20.0,Pressly,Loup,,3:28,N,34496,.15,-,
91,Friday Jul 15,boxscore,LAA,,LAD,L,1,9,,39-52,4,20.0,Kershaw,Sandoval,,3:01,N,44648,.12,--,
92,Saturday Jul 16,boxscore,LAA,,LAD,L,1,7,,39-53,4,21.0,Urias,Suarez,,3:07,N,44728,.07,---,
93,Friday Jul 22,boxscore,LAA,@,ATL,L,1,8,,39-54,4,22.5,Lee,Ohtani,,2:59,N,42867,.06,----,
94,Saturday Jul 23,boxscore,LAA,@,ATL,L,2,7,,39-55,4,23.5,Wright,Sandoval,,3:01,N,42827,.04,-----,
95,Sunday Jul 24,boxscore,LAA,@,ATL,W,9,1,,40-55,4,23.5,Detmers,Anderson,,3:17,D,42663,.04,+,
96,Monday Jul 25,boxscore,LAA,@,KCR,L,0,7,,40-56,4,23.5,Garrett,Syndergaard,,3:03,N,16616,.05,-,
97,Tuesday Jul 26,boxscore,LAA,@,KCR,W,6,0,,41-56,4,22.5,Suarez,Zerpa,,3:24,N,20834,.04,+,
98,Wednesday Jul 27,boxscore,LAA,@,KCR,W,4,0,,42-56,4,21.5,Junk,Keller,,2:48,D,12596,.05,++,
99,Thursday Jul 28,boxscore,LAA,,TEX,L,0,2,,42-57,4,22.5,Howard,Ohtani,Moore,2:47,N,29718,.06,-,
100,Friday Jul 29,boxscore,LAA,,TEX,L,2,7,,42-58,4,23.5,Perez,Sandoval,,3:13,N,29906,.05,--,
101,Saturday Jul 30,boxscore,LAA,,TEX,W,9,7,,43-58,4,22.5,Toussaint,Martin,Iglesias,3:04,N,32968,.04,+,
\ No newline at end of file
Date,Price,Open,High,Low,Vol.,Change %
"Aug 01, 2022","23,288.4","23,303.4","23,303.4","23,265.9",138.12K,-0.06%
"Jul 31, 2022","23,303.4","23,634.2","24,179.3","23,236.2",138.84K,-1.40%
"Jul 30, 2022","23,634.2","23,774.2","24,605.3","23,521.8",168.72K,-0.59%
"Jul 29, 2022","23,774.3","23,850.2","24,340.0","23,451.4",221.66K,-0.32%
"Jul 28, 2022","23,850.0","22,957.7","24,190.5","22,611.6",268.32K,3.88%
"Jul 27, 2022","22,958.3","21,248.0","23,027.8","21,047.5",242.66K,8.05%
"Jul 26, 2022","21,248.7","21,301.6","21,322.3","20,737.3",201.57K,-0.25%
"Jul 25, 2022","21,301.9","22,582.3","22,653.3","21,275.4",206.93K,-5.67%
"Jul 24, 2022","22,582.1","22,449.8","22,987.9","22,281.3",126.66K,0.54%
"Jul 23, 2022","22,460.4","22,683.6","22,991.0","21,971.7",137.42K,-0.95%
"Jul 22, 2022","22,675.2","23,150.0","23,741.4","22,524.2",197.54K,-2.06%
"Jul 21, 2022","23,153.0","23,219.9","23,403.8","22,360.2",217.08K,-0.27%
"Jul 20, 2022","23,215.2","23,412.0","24,258.0","22,944.4",281.31K,-0.83%
"Jul 19, 2022","23,410.2","22,529.3","23,757.3","21,581.8",308.91K,3.93%
"Jul 18, 2022","22,525.8","20,785.6","22,714.9","20,770.6",279.72K,8.37%
"Jul 17, 2022","20,785.6","21,209.8","21,654.4","20,755.2",132.81K,-2.00%
"Jul 16, 2022","21,209.9","20,825.2","21,561.3","20,484.4",136.89K,1.85%
"Jul 15, 2022","20,825.1","20,586.1","21,178.1","20,393.4",164.67K,1.16%
"Jul 14, 2022","20,586.0","20,250.0","20,862.2","19,664.9",205.28K,1.66%
"Jul 13, 2022","20,250.0","19,331.6","20,250.8","18,942.2",249.38K,4.75%
"Jul 12, 2022","19,330.9","19,963.2","20,051.7","19,279.6",167.91K,-3.17%
"Jul 11, 2022","19,963.2","20,847.2","20,855.0","19,897.0",160.20K,-4.24%
"Jul 10, 2022","20,847.4","21,587.4","21,599.2","20,689.7",204.68K,-3.43%
"Jul 09, 2022","21,587.5","21,610.4","21,944.1","21,338.4",190.11K,-0.11%
"Jul 08, 2022","21,611.2","21,637.1","22,482.1","21,207.0",439.90K,-0.12%
"Jul 07, 2022","21,637.8","20,557.9","21,817.8","20,282.7",115.81K,5.24%
"Jul 06, 2022","20,561.1","20,180.4","20,654.9","19,785.3",105.24K,1.78%
"Jul 05, 2022","20,200.6","20,215.8","20,706.9","19,315.4",122.43K,-0.08%
"Jul 04, 2022","20,215.8","19,310.6","20,303.8","19,052.5",92.79K,4.69%
"Jul 03, 2022","19,309.9","19,243.4","19,626.4","18,794.4",65.27K,0.35%
"Jul 02, 2022","19,243.2","19,275.4","19,425.4","19,006.4",58.57K,-0.10%
"Jul 01, 2022","19,262.9","19,926.6","20,785.6","18,980.1",150.18K,-3.33%
"Jun 30, 2022","19,926.6","20,111.3","20,155.1","18,682.7",127.73K,-0.92%
"Jun 29, 2022","20,111.3","20,278.0","20,415.8","19,880.7",98.97K,-0.82%
"Jun 28, 2022","20,278.0","20,727.9","21,200.2","20,210.5",83.83K,-2.18%
"Jun 27, 2022","20,730.2","21,037.7","21,497.5","20,568.0",84.69K,-1.49%
"Jun 26, 2022","21,043.5","21,489.9","21,837.4","20,989.7",67.21K,-2.08%
"Jun 25, 2022","21,489.9","21,226.9","21,553.4","20,917.5",66.63K,1.24%
"Jun 24, 2022","21,226.9","21,100.9","21,488.7","20,743.9",104.56K,0.60%
"Jun 23, 2022","21,100.7","19,967.3","21,189.8","19,907.5",110.70K,5.68%
"Jun 22, 2022","19,965.8","20,720.2","20,864.3","19,780.2",125.94K,-3.64%
"Jun 21, 2022","20,720.4","20,571.6","21,689.3","20,371.7",136.32K,0.72%
"Jun 20, 2022","20,572.3","20,576.9","20,996.8","19,658.8",140.60K,-0.02%
"Jun 19, 2022","20,577.2","18,983.4","20,763.5","17,983.7",169.39K,8.38%
"Jun 18, 2022","18,986.5","20,446.4","20,744.7","17,630.5",267.25K,-7.13%
"Jun 17, 2022","20,444.6","20,391.3","21,315.4","20,244.1",136.27K,0.28%
"Jun 16, 2022","20,386.6","22,577.9","22,942.1","20,231.1",144.00K,-9.71%
"Jun 15, 2022","22,577.9","22,137.5","22,754.4","20,125.8",280.41K,1.90%
"Jun 14, 2022","22,157.3","22,449.1","23,200.3","20,860.9",251.01K,-1.29%
"Jun 13, 2022","22,448.0","26,606.3","26,857.6","22,006.3",379.26K,-15.63%
"Jun 12, 2022","26,606.3","28,404.0","28,534.8","26,606.3",120.02K,-6.33%
"Jun 11, 2022","28,403.4","29,083.3","29,426.6","28,161.8",82.92K,-2.34%
"Jun 10, 2022","29,083.3","30,097.4","30,325.6","28,884.9",104.26K,-3.37%
"Jun 09, 2022","30,097.8","30,202.1","30,691.4","29,953.8",61.72K,-0.34%
"Jun 08, 2022","30,201.6","31,127.2","31,312.1","29,874.8",87.96K,-2.98%
"Jun 07, 2022","31,128.8","31,370.3","31,556.6","29,235.0",140.32K,-0.76%
"Jun 06, 2022","31,367.6","29,911.2","31,753.4","29,888.6",94.01K,4.86%
"Jun 05, 2022","29,913.0","29,865.1","30,166.9","29,539.0",30.33K,0.16%
"Jun 04, 2022","29,864.3","29,700.9","29,963.8","29,489.5",33.51K,0.55%
"Jun 03, 2022","29,700.9","30,455.7","30,674.8","29,330.8",72.13K,-2.48%
"Jun 02, 2022","30,455.5","29,798.6","30,638.5","29,604.4",81.40K,2.20%
"Jun 01, 2022","29,798.5","31,793.1","31,969.9","29,396.6",135.09K,-6.27%
"May 31, 2022","31,793.4","31,730.2","32,377.5","31,221.2",86.60K,0.22%
"May 30, 2022","31,723.3","29,465.2","32,185.6","29,307.2",129.56K,7.66%
"May 29, 2022","29,465.2","29,027.1","29,556.5","28,838.7",36.87K,1.51%
"May 28, 2022","29,027.1","28,620.1","29,194.4","28,537.2",43.87K,1.49%
"May 27, 2022","28,601.2","29,194.0","29,377.1","28,282.2",116.41K,-2.06%
"May 26, 2022","29,203.5","29,537.9","29,868.9","28,077.9",126.71K,-1.14%
"May 25, 2022","29,540.6","29,648.7","30,202.3","29,353.5",78.85K,-0.36%
"May 24, 2022","29,648.7","29,091.6","29,810.8","28,706.1",79.42K,1.91%
"May 23, 2022","29,093.3","30,287.3","30,644.8","28,913.6",92.10K,-3.94%
"May 22, 2022","30,286.6","29,433.0","30,462.0","29,260.1",50.60K,2.89%
"May 21, 2022","29,434.6","29,188.7","29,623.2","28,953.9",32.27K,0.88%
"May 20, 2022","29,178.6","30,305.9","30,735.1","28,738.5",98.78K,-3.72%
"May 19, 2022","30,305.9","28,700.4","30,525.1","28,682.1",101.38K,5.66%
"May 18, 2022","28,683.7","30,437.5","30,687.9","28,648.1",92.03K,-5.76%
"May 17, 2022","30,437.5","29,856.7","30,720.1","29,484.5",79.63K,1.97%
"May 16, 2022","29,849.0","31,308.3","31,312.4","29,135.8",100.25K,-4.66%
"May 15, 2022","31,308.7","30,078.6","31,383.8","29,499.4",65.44K,4.08%
"May 14, 2022","30,080.4","29,285.2","30,277.4","28,666.7",70.46K,2.72%
"May 13, 2022","29,284.4","28,994.3","31,002.7","28,755.0",141.23K,1.06%
"May 12, 2022","28,976.0","29,073.4","30,136.7","26,500.5",309.48K,-0.32%
"May 11, 2022","29,068.2","31,008.0","32,113.6","27,835.5",296.90K,-6.25%
"May 10, 2022","31,007.5","30,098.2","32,621.2","29,831.0",235.61K,3.03%
"May 09, 2022","30,095.0","34,041.0","34,227.0","30,095.0",268.09K,-11.64%
"May 08, 2022","34,060.0","35,468.0","35,497.0","33,727.0",671.05M,-3.97%
"May 07, 2022","35,468.0","36,003.0","36,119.0","34,773.0",288.86M,-1.50%
"May 06, 2022","36,009.0","36,540.0","36,646.0","35,267.0",752.84M,-1.46%
"May 05, 2022","36,544.0","39,686.0","39,833.0","36,183.0",1.04B,-7.92%
"May 04, 2022","39,688.0","37,717.0","40,021.0","37,660.0",691.49M,5.22%
"May 03, 2022","37,718.0","38,515.0","38,647.0","37,513.0",367.21M,-2.07%
"May 02, 2022","38,514.0","38,472.0","39,134.0","38,061.0",580.79M,0.14%
"May 01, 2022","38,461.0","37,642.0","38,676.0","37,397.0",276.99M,2.15%
"Apr 30, 2022","37,650.0","38,590.0","38,776.0","37,596.0",248.22M,-2.41%
"Apr 29, 2022","38,581.0","39,748.0","39,919.0","38,175.0",382.90M,-2.94%
"Apr 28, 2022","39,748.0","39,243.0","40,382.0","38,888.0",542.39M,1.29%
"Apr 27, 2022","39,243.0","38,113.0","39,447.0","37,869.0",426.83M,2.96%
"Apr 26, 2022","38,113.0","40,443.0","40,770.0","37,708.0",681.47M,-5.72%
"Apr 25, 2022","40,427.0","39,464.0","40,599.0","38,233.0",654.60M,2.44%
"Apr 24, 2022","39,464.0","39,434.0","39,929.0","39,033.0",283.63M,0.12%
"Apr 23, 2022","39,418.0","39,709.0","39,973.0","39,291.0",190.60M,-0.73%
"Apr 22, 2022","39,709.0","40,487.0","40,792.0","39,200.0",421.30M,-1.91%
"Apr 21, 2022","40,482.0","41,370.0","42,969.0","39,793.0",493.05M,-2.14%
"Apr 20, 2022","41,368.0","41,499.0","42,203.0","40,915.0",382.84M,-0.33%
"Apr 19, 2022","41,503.0","40,809.0","41,746.0","40,585.0",268.28M,1.72%
"Apr 18, 2022","40,803.0","39,700.0","41,095.0","38,577.0",484.26M,2.77%
"Apr 17, 2022","39,703.0","40,382.0","40,599.0","39,561.0",210.01M,-1.68%
"Apr 16, 2022","40,382.0","40,571.0","40,691.0","40,003.0",151.31M,-0.44%
"Apr 15, 2022","40,560.0","39,936.0","40,850.0","39,781.0",233.09M,1.56%
"Apr 14, 2022","39,936.0","41,133.0","41,494.0","39,585.0",294.29M,-2.91%
"Apr 13, 2022","41,133.0","40,072.0","41,515.0","39,581.0",406.70M,2.63%
"Apr 12, 2022","40,078.0","39,507.0","40,678.0","39,265.0",468.27M,1.47%
"Apr 11, 2022","39,497.0","42,144.0","42,418.0","39,202.0",608.38M,-6.27%
"Apr 10, 2022","42,138.0","42,760.0","43,421.0","41,884.0",255.83M,-1.47%
"Apr 09, 2022","42,767.0","42,275.0","42,809.0","42,129.0",165.16M,1.16%
"Apr 08, 2022","42,275.0","43,450.0","43,979.0","42,113.0",467.83M,-2.70%
"Apr 07, 2022","43,448.0","43,166.0","43,893.0","42,747.0",390.85M,0.64%
"Apr 06, 2022","43,173.0","45,494.0","45,519.0","43,122.0",649.52M,-5.13%
"Apr 05, 2022","45,506.0","46,614.0","47,201.0","45,388.0",421.11M,-2.41%
"Apr 04, 2022","46,629.0","46,407.0","46,899.0","45,152.0",446.12M,0.48%
"Apr 03, 2022","46,407.0","45,813.0","47,435.0","45,554.0",398.86M,1.30%
"Apr 02, 2022","45,811.0","46,299.0","47,212.0","45,641.0",345.93M,-1.05%
"Apr 01, 2022","46,297.0","45,529.0","46,728.0","44,261.0",632.93M,1.70%
"Mar 31, 2022","45,525.0","47,071.0","47,624.0","45,228.0",520.00M,-3.29%
"Mar 30, 2022","47,075.0","47,449.0","47,714.0","46,601.0",467.76M,-0.79%
"Mar 29, 2022","47,449.0","47,126.0","48,127.0","47,029.0",478.82M,0.73%
"Mar 28, 2022","47,105.0","46,859.0","48,199.0","46,672.0",610.27M,0.52%
"Mar 27, 2022","46,859.0","44,542.0","46,947.0","44,445.0",388.79M,5.19%
"Mar 26, 2022","44,548.0","44,331.0","44,818.0","44,090.0",196.30M,0.49%
"Mar 25, 2022","44,331.0","44,013.0","45,112.0","43,622.0",494.09M,0.72%
"Mar 24, 2022","44,013.0","42,911.0","44,251.0","42,658.0",491.66M,2.57%
"Mar 23, 2022","42,912.0","42,373.0","43,027.0","41,795.0",433.96M,1.27%
"Mar 22, 2022","42,373.0","41,022.0","43,327.9","40,893.0",537.06M,3.29%
"Mar 21, 2022","41,022.0","41,282.0","41,532.0","40,530.0",406.62M,-0.62%
"Mar 20, 2022","41,276.0","42,241.0","42,301.0","40,922.0",308.45M,-2.27%
"Mar 19, 2022","42,233.0","41,768.0","42,386.0","41,529.6",224.59M,1.11%
"Mar 18, 2022","41,767.8","40,914.6","42,308.4","40,234.8",2.31B,2.08%
"Mar 17, 2022","40,914.8","41,118.7","41,406.0","40,557.8",1.90B,-0.50%
"Mar 16, 2022","41,118.7","39,282.5","41,701.6","38,953.2",4.47B,4.67%
"Mar 15, 2022","39,285.7","39,673.0","39,854.7","38,220.9",2.25B,-0.97%
"Mar 14, 2022","39,671.1","37,789.5","39,914.3","37,613.6",2.33B,4.97%
"Mar 13, 2022","37,792.4","38,813.2","39,272.3","37,603.4",1.55B,-2.63%
"Mar 12, 2022","38,814.3","38,730.2","39,355.3","38,666.5",1.11B,0.22%
"Mar 11, 2022","38,730.2","39,422.5","40,177.0","38,236.4",2.79B,-1.74%
"Mar 10, 2022","39,416.3","41,933.9","42,029.1","38,603.5",3.62B,-5.99%
"Mar 09, 2022","41,929.0","38,731.5","42,538.5","38,663.3",3.60B,8.22%
"Mar 08, 2022","38,744.8","38,020.6","39,351.5","37,886.6",2.67B,1.89%
"Mar 07, 2022","38,024.8","38,420.6","39,532.0","37,182.1",3.02B,-0.99%
"Mar 06, 2022","38,403.1","39,396.3","39,668.1","38,115.0",1.93B,-2.52%
"Mar 05, 2022","39,395.8","39,142.8","39,600.2","38,626.1",1.50B,0.65%
"Mar 04, 2022","39,142.7","42,463.0","42,848.7","38,594.9",3.21B,-7.82%
"Mar 03, 2022","42,463.0","43,912.8","44,077.2","41,840.8",74.11K,-3.30%
"Mar 02, 2022","43,912.8","44,420.3","45,294.2","43,361.3",80.82K,-1.14%
"Mar 01, 2022","44,420.3","43,187.2","44,900.5","42,876.6",90.67K,2.85%
"Feb 28, 2022","43,188.2","37,707.2","43,977.8","37,458.9",108.07K,14.59%
"Feb 27, 2022","37,689.1","39,116.6","39,838.5","37,062.3",66.14K,-3.65%
"Feb 26, 2022","39,115.5","39,221.6","40,094.5","38,639.1",41.55K,-0.24%
"Feb 25, 2022","39,209.6","38,339.2","39,683.7","38,042.6",83.78K,2.27%
"Feb 24, 2022","38,339.2","37,250.2","39,351.6","34,357.4",180.47K,2.99%
"Feb 23, 2022","37,224.6","38,248.2","39,194.5","37,099.5",64.84K,-2.68%
"Feb 22, 2022","38,248.2","37,018.3","38,414.9","36,399.6",82.75K,3.32%
"Feb 21, 2022","37,017.7","38,355.0","39,444.1","36,868.9",91.82K,-3.49%
"Feb 20, 2022","38,355.0","40,089.6","40,120.3","38,042.2",47.92K,-4.33%
"Feb 19, 2022","40,090.3","40,000.1","40,434.3","39,666.6",25.78K,0.23%
"Feb 18, 2022","40,000.1","40,532.5","40,935.5","39,505.0",64.96K,-1.36%
"Feb 17, 2022","40,552.8","43,885.5","44,167.1","40,103.8",72.63K,-7.59%
"Feb 16, 2022","43,883.6","44,540.9","44,552.9","43,377.6",41.40K,-1.48%
"Feb 15, 2022","44,544.4","42,550.3","44,722.6","42,460.1",56.34K,4.69%
"Feb 14, 2022","42,550.3","42,061.1","42,799.7","41,591.3",53.60K,1.16%
"Feb 13, 2022","42,061.1","42,205.5","42,725.1","41,880.1",25.88K,-0.34%
"Feb 12, 2022","42,205.2","42,388.4","43,006.4","41,776.8",37.88K,-0.43%
"Feb 11, 2022","42,388.4","43,519.3","43,915.1","42,023.4",69.95K,-2.60%
"Feb 10, 2022","43,521.0","44,388.9","45,755.2","43,242.5",89.69K,-1.96%
"Feb 09, 2022","44,388.9","44,038.2","44,800.4","43,163.0",50.92K,0.80%
"Feb 08, 2022","44,038.2","43,833.9","45,399.8","42,705.0",92.88K,0.47%
"Feb 07, 2022","43,833.9","42,385.2","44,468.3","41,695.4",76.60K,3.40%
"Feb 06, 2022","42,392.2","41,411.9","42,614.8","41,176.3",31.20K,2.37%
"Feb 05, 2022","41,412.1","41,566.5","41,899.8","40,963.3",46.32K,-0.37%
"Feb 04, 2022","41,567.6","37,287.8","41,689.0","37,041.1",95.49K,11.48%
"Feb 03, 2022","37,287.8","36,890.2","37,304.3","36,297.3",50.35K,1.08%
"Feb 02, 2022","36,890.2","38,711.2","38,853.8","36,682.3",53.74K,-4.70%
"Feb 01, 2022","38,709.7","38,475.6","39,230.0","38,037.9",55.20K,0.55%
"Jan 31, 2022","38,498.6","37,923.8","38,701.4","36,672.8",61.27K,1.53%
"Jan 30, 2022","37,917.7","38,167.5","38,313.3","37,390.6",34.10K,-0.66%
"Jan 29, 2022","38,170.8","37,736.5","38,663.7","37,350.2",42.77K,1.13%
"Jan 28, 2022","37,745.1","37,195.6","37,995.9","36,176.5",69.45K,1.56%
"Jan 27, 2022","37,164.3","36,800.1","37,215.4","35,543.2",83.52K,0.99%
"Jan 26, 2022","36,800.4","36,962.3","38,862.6","36,280.0",107.87K,-0.41%
"Jan 25, 2022","36,950.6","36,691.3","37,501.8","35,729.3",79.68K,0.72%
"Jan 24, 2022","36,686.3","36,268.6","37,424.0","32,985.6",153.77K,1.15%
"Jan 23, 2022","36,269.5","35,072.9","36,513.0","34,655.2",70.43K,3.40%
"Jan 22, 2022","35,075.2","36,467.7","36,749.8","34,116.0",138.09K,-3.84%
"Jan 21, 2022","36,475.5","40,698.1","41,104.6","35,503.9",155.80K,-10.41%
"Jan 20, 2022","40,715.9","41,683.6","43,487.1","40,568.3",65.28K,-2.31%
"Jan 19, 2022","41,677.8","42,365.3","42,558.0","41,160.9",53.77K,-1.62%
"Jan 18, 2022","42,364.6","42,209.9","42,674.2","41,300.7",47.32K,0.37%
"Jan 17, 2022","42,209.3","43,080.5","43,179.6","41,559.4",41.44K,-2.02%
"Jan 16, 2022","43,079.1","43,079.2","43,462.0","42,643.3",28.66K,-0.04%
"Jan 15, 2022","43,097.0","43,073.6","43,777.9","42,586.1",31.44K,0.06%
"Jan 14, 2022","43,073.3","42,562.2","43,435.1","41,848.7",50.50K,1.21%
"Jan 13, 2022","42,560.0","43,900.0","44,404.7","42,337.5",53.42K,-3.05%
"Jan 12, 2022","43,901.0","42,735.0","44,243.6","42,476.7",53.95K,2.73%
"Jan 11, 2022","42,733.2","41,829.1","43,090.2","41,287.6",61.78K,2.15%
"Jan 10, 2022","41,832.2","41,848.9","42,243.8","39,697.0",85.50K,-0.04%
"Jan 09, 2022","41,848.3","41,681.2","42,764.4","41,260.9",37.51K,0.42%
"Jan 08, 2022","41,672.0","41,551.3","42,304.4","40,574.3",52.54K,0.30%
"Jan 07, 2022","41,546.7","43,097.9","43,127.7","40,810.0",88.36K,-3.60%
"Jan 06, 2022","43,097.5","43,431.6","43,772.3","42,481.1",63.08K,-0.76%
"Jan 05, 2022","43,425.9","45,833.1","47,019.4","42,535.1",83.74K,-5.26%
"Jan 04, 2022","45,837.3","46,435.7","47,505.4","45,602.1",55.59K,-1.28%
"Jan 03, 2022","46,430.2","47,293.9","47,556.0","45,704.0",41.06K,-1.86%
"Jan 02, 2022","47,311.8","47,738.7","47,944.9","46,718.2",27.02K,-0.89%
"Jan 01, 2022","47,738.0","46,217.5","47,917.6","46,217.5",31.24K,3.29%
"Dec 31, 2021","46,219.5","47,123.3","48,553.9","45,693.6",58.18K,-1.92%
"Dec 30, 2021","47,123.3","46,470.7","47,901.4","46,003.0",60.96K,1.42%
"Dec 29, 2021","46,461.7","47,548.4","48,121.7","46,127.8",63.92K,-2.28%
"Dec 28, 2021","47,545.2","50,703.4","50,703.8","47,345.7",74.39K,-6.18%
"Dec 27, 2021","50,678.2","50,783.6","52,016.3","50,459.0",43.90K,-0.20%
"Dec 26, 2021","50,779.9","50,404.0","51,247.0","49,527.0",32.34K,0.74%
"Dec 25, 2021","50,406.4","50,789.6","51,140.2","50,196.8",26.67K,-0.75%
"Dec 24, 2021","50,786.1","50,807.4","51,795.3","50,428.4",45.97K,-0.03%
"Dec 23, 2021","50,801.0","48,599.6","51,355.6","48,053.4",56.24K,4.53%
"Dec 22, 2021","48,599.7","48,898.7","49,540.3","48,449.7",40.89K,-0.62%
"Dec 21, 2021","48,902.0","46,900.1","49,306.1","46,654.0",57.88K,4.28%
"Dec 20, 2021","46,895.2","46,703.4","47,488.9","45,577.3",57.53K,0.41%
"Dec 19, 2021","46,704.5","46,855.7","48,270.2","46,438.4",44.05K,-0.32%
"Dec 18, 2021","46,856.2","46,171.8","47,330.2","45,513.4",36.93K,1.48%
"Dec 17, 2021","46,172.2","47,630.4","47,997.2","45,523.8",67.50K,-3.06%
"Dec 16, 2021","47,628.2","48,876.6","49,387.8","47,543.9",48.20K,-2.54%
"Dec 15, 2021","48,871.5","48,366.2","49,477.9","46,572.6",80.28K,1.04%
"Dec 14, 2021","48,366.5","46,709.8","48,635.0","46,338.3",62.54K,3.56%
"Dec 13, 2021","46,703.6","50,075.9","50,196.1","45,848.2",80.37K,-6.74%
"Dec 12, 2021","50,081.0","49,332.5","50,779.2","48,670.5",40.30K,1.55%
"Dec 11, 2021","49,314.5","47,138.4","49,487.0","46,834.0",45.23K,4.62%
"Dec 10, 2021","47,137.2","47,591.7","49,974.8","47,007.1",68.06K,-0.97%
"Dec 09, 2021","47,596.6","50,477.6","50,790.2","47,341.9",58.69K,-5.70%
"Dec 08, 2021","50,473.9","50,596.6","51,204.7","48,700.7",55.59K,-0.24%
"Dec 07, 2021","50,595.2","50,547.4","51,918.6","50,070.9",56.29K,0.07%
"Dec 06, 2021","50,562.1","49,412.1","50,913.3","47,237.9",89.68K,2.34%
"Dec 05, 2021","49,405.5","49,196.4","49,689.3","47,797.8",72.03K,0.43%
"Dec 04, 2021","49,195.2","53,620.7","53,847.2","42,587.8",168.00K,-8.27%
"Dec 03, 2021","53,631.5","56,495.2","57,543.6","52,008.9",89.20K,-5.07%
"Dec 02, 2021","56,496.0","57,207.8","57,377.5","55,807.9",54.94K,-1.25%
"Dec 01, 2021","57,210.3","56,891.7","59,064.3","56,496.5",66.75K,0.58%
"Nov 30, 2021","56,882.9","57,795.2","59,174.4","55,936.9",73.66K,-1.58%
"Nov 29, 2021","57,794.8","57,288.1","58,855.2","56,726.7",58.65K,0.88%
"Nov 28, 2021","57,291.5","54,758.0","57,392.3","53,448.3",49.28K,4.61%
"Nov 27, 2021","54,765.9","53,747.2","55,280.3","53,654.3",40.71K,1.93%
"Nov 26, 2021","53,730.9","58,937.3","59,151.1","53,533.5",104.03K,-8.83%
"Nov 25, 2021","58,935.1","57,167.1","59,387.3","57,029.8",56.79K,3.08%
"Nov 24, 2021","57,171.7","57,559.4","57,697.4","55,910.6",56.68K,-0.70%
"Nov 23, 2021","57,573.2","56,304.8","57,855.1","55,542.5",72.48K,2.25%
"Nov 22, 2021","56,308.8","58,719.7","59,288.3","55,656.8",76.45K,-4.10%
"Nov 21, 2021","58,714.3","59,724.0","60,002.6","58,528.3",40.98K,-1.68%
"Nov 20, 2021","59,717.6","58,080.8","59,854.6","57,435.3",44.53K,2.81%
"Nov 19, 2021","58,083.4","56,908.3","58,335.9","55,626.3",74.44K,1.98%
"Nov 18, 2021","56,955.3","60,368.2","60,936.9","56,524.4",100.37K,-5.65%
"Nov 17, 2021","60,367.8","60,074.2","60,814.5","58,531.9",73.93K,0.46%
"Nov 16, 2021","60,089.1","63,605.1","63,605.6","58,655.9",115.36K,-5.52%
"Nov 15, 2021","63,597.9","65,514.9","66,311.2","63,439.5",53.53K,-2.92%
"Nov 14, 2021","65,508.2","64,397.2","65,508.2","63,608.3",33.98K,1.72%
"Nov 13, 2021","64,398.6","64,133.3","64,906.0","63,381.4",30.34K,0.41%
"Nov 12, 2021","64,134.5","64,782.6","65,449.7","62,309.7",63.27K,-1.04%
"Nov 11, 2021","64,806.7","64,922.8","65,583.3","64,121.9",50.37K,-0.19%
"Nov 10, 2021","64,932.6","66,942.6","68,990.6","62,951.3",96.21K,-2.95%
"Nov 09, 2021","66,904.4","67,528.7","68,493.3","66,334.9",66.13K,-0.92%
"Nov 08, 2021","67,527.9","63,276.4","67,763.3","63,276.4",81.08K,6.72%
"Nov 07, 2021","63,273.2","61,483.8","63,273.2","61,347.2",34.34K,2.91%
"Nov 06, 2021","61,483.9","60,973.2","61,543.2","60,093.6",34.89K,0.84%
"Nov 05, 2021","60,974.3","61,411.5","62,560.3","60,742.4",44.46K,-0.71%
"Nov 04, 2021","61,412.6","62,915.4","63,077.6","60,742.9",49.91K,-2.39%
"Nov 03, 2021","62,918.5","63,223.5","63,508.6","60,883.0",61.05K,-0.48%
"Nov 02, 2021","63,221.7","60,912.2","64,256.4","60,651.5",65.26K,3.79%
"Nov 01, 2021","60,915.3","61,310.1","62,430.1","59,612.7",61.21K,-0.64%
"Oct 31, 2021","61,309.6","61,842.2","62,393.7","60,005.7",50.06K,-0.86%
"Oct 30, 2021","61,840.1","62,245.0","62,338.5","60,786.0",40.51K,-0.65%
"Oct 29, 2021","62,242.8","60,579.9","62,952.2","60,322.2",63.39K,2.74%
"Oct 28, 2021","60,582.5","58,437.2","62,251.3","58,128.1",88.47K,3.67%
"Oct 27, 2021","58,438.1","60,312.5","61,452.9","58,112.6",88.11K,-3.11%
"Oct 26, 2021","60,310.8","63,067.5","63,275.1","59,907.3",57.13K,-4.37%
"Oct 25, 2021","63,067.0","60,864.3","63,694.8","60,655.8",51.06K,3.62%
"Oct 24, 2021","60,866.5","61,308.2","61,469.9","59,523.7",42.67K,-0.73%
"Oct 23, 2021","61,312.5","60,693.2","61,728.7","59,738.3",37.05K,1.03%
"Oct 22, 2021","60,690.3","62,200.8","63,699.7","60,055.7",75.69K,-2.44%
"Oct 21, 2021","62,210.2","66,004.6","66,616.9","62,092.1",105.38K,-5.71%
"Oct 20, 2021","65,979.1","64,276.9","66,967.1","63,543.7",79.87K,2.65%
"Oct 19, 2021","64,278.5","62,030.2","64,454.0","61,451.0",80.16K,3.58%
"Oct 18, 2021","62,056.3","61,525.8","62,623.6","60,026.9",80.15K,0.86%
"Oct 17, 2021","61,527.5","60,865.5","61,651.4","59,143.4",53.39K,1.09%
"Oct 16, 2021","60,861.1","61,669.2","62,329.2","60,161.9",49.93K,-1.32%
"Oct 15, 2021","61,672.5","57,348.2","62,892.8","56,874.8",121.48K,7.54%
"Oct 14, 2021","57,345.8","57,370.4","58,506.5","56,866.8",59.84K,-0.06%
"Oct 13, 2021","57,380.1","56,014.5","57,697.4","54,314.4",73.62K,2.44%
"Oct 12, 2021","56,015.9","57,480.6","57,635.7","54,155.4",74.85K,-2.54%
"Oct 11, 2021","57,477.3","54,686.9","57,814.1","54,457.8",73.84K,5.10%
"Oct 10, 2021","54,687.7","54,942.5","56,432.2","54,100.8",104.43K,-0.46%
"Oct 09, 2021","54,942.5","53,924.1","55,430.8","53,711.7",64.65K,1.91%
"Oct 08, 2021","53,914.7","53,785.5","55,977.9","53,659.3",64.05K,0.24%
"Oct 07, 2021","53,783.9","55,325.2","55,325.6","53,476.4",75.68K,-2.78%
"Oct 06, 2021","55,323.2","51,470.0","55,676.1","50,439.5",116.26K,7.49%
"Oct 05, 2021","51,469.3","49,229.5","51,872.4","49,060.1",76.63K,4.55%
"Oct 04, 2021","49,227.3","48,200.4","49,481.7","46,958.6",66.92K,2.13%
"Oct 03, 2021","48,200.1","47,665.4","49,165.2","47,123.0",42.41K,1.12%
"Oct 02, 2021","47,666.9","48,147.2","48,306.9","47,451.7",39.82K,-1.00%
"Oct 01, 2021","48,146.0","43,824.4","48,435.2","43,292.9",94.66K,9.86%
"Sep 30, 2021","43,823.3","41,534.5","44,101.2","41,416.7",64.32K,5.50%
"Sep 29, 2021","41,536.8","41,023.1","42,571.2","40,815.0",48.21K,1.25%
"Sep 28, 2021","41,022.3","42,169.9","42,758.8","40,906.4",60.01K,-2.73%
"Sep 27, 2021","42,172.6","43,200.9","44,293.2","42,143.9",54.12K,-2.39%
"Sep 26, 2021","43,203.4","42,685.8","43,907.3","40,786.6",69.91K,1.21%
"Sep 25, 2021","42,686.8","42,818.7","42,959.3","41,714.5",46.35K,-0.31%
"Sep 24, 2021","42,819.9","44,867.4","45,112.0","40,908.5",128.88K,-4.57%
"Sep 23, 2021","44,869.2","43,550.7","44,949.8","43,090.1",74.54K,3.03%
"Sep 22, 2021","43,551.6","40,660.8","43,976.7","40,585.7",93.98K,7.13%
"Sep 21, 2021","40,651.3","43,012.3","43,619.3","39,646.8",142.55K,-5.18%
"Sep 20, 2021","42,870.6","47,240.8","47,323.9","42,547.1",77.96K,-9.25%
"Sep 19, 2021","47,238.7","48,299.9","48,341.9","46,866.6",41.98K,-2.21%
"Sep 18, 2021","48,306.7","47,283.9","48,761.0","47,070.5",43.64K,2.17%
"Sep 17, 2021","47,282.8","47,748.2","48,155.9","46,788.8",50.16K,-0.97%
"Sep 16, 2021","47,748.0","48,132.3","48,480.6","47,040.3",60.91K,-0.80%
"Sep 15, 2021","48,130.6","47,070.8","48,436.5","46,743.9",63.40K,2.24%
"Sep 14, 2021","47,077.5","44,950.2","47,247.6","44,718.7",65.33K,4.73%
"Sep 13, 2021","44,949.5","46,060.8","46,807.7","43,463.2",96.15K,-2.42%
"Sep 12, 2021","46,062.3","45,162.6","46,386.4","44,755.2",44.52K,1.99%
"Sep 11, 2021","45,161.9","44,844.9","45,975.6","44,766.6",41.58K,0.71%
"Sep 10, 2021","44,842.8","46,385.9","47,021.6","44,283.6",75.62K,-3.33%
"Sep 09, 2021","46,385.6","46,057.6","47,305.7","45,609.0",73.63K,0.70%
"Sep 08, 2021","46,061.4","46,774.1","47,316.9","44,493.7",100.48K,-1.54%
"Sep 07, 2021","46,779.6","52,674.2","52,885.3","43,072.4",187.56K,-11.19%
"Sep 06, 2021","52,672.1","51,769.4","52,726.2","51,002.8",69.46K,1.75%
"Sep 05, 2021","51,768.6","49,918.7","51,878.2","49,492.4",57.30K,3.71%
"Sep 04, 2021","49,918.4","49,999.3","50,534.6","49,461.4",48.14K,-0.16%
"Sep 03, 2021","49,999.0","49,269.5","51,008.8","48,377.3",88.08K,1.47%
"Sep 02, 2021","49,274.3","48,817.8","50,355.3","48,612.9",80.21K,0.93%
"Sep 01, 2021","48,819.4","47,129.2","49,121.0","46,533.1",74.38K,3.58%
"Aug 31, 2021","47,130.4","46,989.1","48,217.0","46,709.3",71.48K,0.29%
"Aug 30, 2021","46,992.7","48,777.1","48,886.0","46,876.9",61.68K,-3.66%
"Aug 29, 2021","48,777.4","48,899.7","49,621.7","47,870.1",47.62K,-0.24%
"Aug 28, 2021","48,897.1","49,062.8","49,289.4","48,428.5",36.73K,-0.34%
"Aug 27, 2021","49,064.3","46,830.2","49,142.0","46,371.5",62.47K,4.77%
"Aug 26, 2021","46,831.6","48,994.4","49,347.8","46,360.4",73.79K,-4.41%
"Aug 25, 2021","48,994.5","47,707.4","49,230.2","47,163.3",63.54K,2.68%
"Aug 24, 2021","47,714.7","49,532.5","49,847.4","47,623.6",74.26K,-3.68%
"Aug 23, 2021","49,539.7","49,255.4","50,498.8","49,038.6",75.37K,0.58%
"Aug 22, 2021","49,254.5","48,870.4","49,480.3","48,151.0",49.32K,0.77%
"Aug 21, 2021","48,875.8","49,330.0","49,719.1","48,293.5",18.20K,-0.91%
"Aug 20, 2021","49,324.0","46,756.7","49,343.3","46,646.8",83.19K,5.49%
"Aug 19, 2021","46,755.9","44,725.9","47,012.3","43,986.7",77.92K,4.54%
"Aug 18, 2021","44,723.8","44,691.1","46,004.9","44,230.0",22.36K,0.07%
"Aug 17, 2021","44,691.6","45,907.5","47,140.6","44,441.3",84.14K,-2.84%
"Aug 16, 2021","45,996.3","46,991.6","48,002.4","45,672.1",2.41K,-2.12%
"Aug 15, 2021","46,991.3","47,082.6","47,344.1","45,564.1",58.11K,-0.19%
"Aug 14, 2021","47,081.5","47,809.6","48,090.9","46,117.2",64.29K,-1.52%
"Aug 13, 2021","47,809.1","44,404.0","47,836.0","44,242.4",75.27K,7.67%
"Aug 12, 2021","44,403.4","45,562.3","46,213.8","43,814.7",81.07K,-2.55%
"Aug 11, 2021","45,564.3","45,593.2","46,736.5","45,367.9",75.43K,-0.06%
"Aug 10, 2021","45,593.8","46,281.8","46,663.4","44,681.2",80.55K,-1.49%
"Aug 09, 2021","46,284.3","43,794.9","46,460.7","42,824.1",117.08K,5.69%
"Aug 08, 2021","43,792.8","44,584.9","45,284.1","43,314.4",105.25K,-1.84%
"Aug 07, 2021","44,614.2","42,784.7","44,697.3","42,611.0",112.84K,4.25%
"Aug 06, 2021","42,795.4","40,868.4","43,253.4","39,905.4",111.93K,4.72%
"Aug 05, 2021","40,867.2","39,734.4","41,366.3","37,365.4",130.60K,2.84%
"Aug 04, 2021","39,736.9","38,188.4","39,956.5","37,556.0",79.22K,4.21%
"Aug 03, 2021","38,130.3","39,167.4","39,766.6","37,688.2",0.26K,-2.65%
"Aug 02, 2021","39,168.4","39,869.8","40,449.0","38,692.5",74.81K,-1.78%
"Aug 01, 2021","39,878.3","41,510.0","42,565.0","39,556.5",80.33K,-4.03%
"Jul 31, 2021","41,553.7","42,201.4","42,285.3","41,066.4",44.65K,-1.54%
"Jul 30, 2021","42,203.4","40,001.1","42,264.4","38,358.4",98.45K,5.50%
"Jul 29, 2021","40,001.4","40,009.0","40,630.7","39,340.8",75.30K,0.00%
"Jul 28, 2021","40,003.2","39,450.4","40,862.2","38,883.8",148.92K,1.40%
"Jul 27, 2021","39,452.0","37,294.3","39,455.9","36,427.4",100.24K,5.84%
"Jul 26, 2021","37,276.6","35,392.3","40,522.9","35,236.7",177.63K,5.33%
"Jul 25, 2021","35,391.1","34,392.5","35,391.1","33,881.3",65.10K,4.63%
"Jul 24, 2021","33,824.8","33,600.5","33,955.0","33,412.9",67.14K,0.66%
"Jul 23, 2021","33,603.3","32,297.9","33,605.6","32,041.1",66.15K,4.04%
"Jul 22, 2021","32,298.9","32,131.7","32,585.4","31,729.4",64.87K,0.52%
"Jul 21, 2021","32,131.4","29,794.7","32,794.6","29,519.3",118.34K,7.85%
"Jul 20, 2021","29,793.8","30,835.4","31,040.8","29,310.2",97.46K,-3.38%
"Jul 19, 2021","30,837.2","31,782.9","31,887.0","30,478.2",77.48K,-2.98%
"Jul 18, 2021","31,785.4","31,517.9","32,408.2","31,220.6",57.01K,0.85%
"Jul 17, 2021","31,518.6","31,384.4","31,914.8","31,207.8",58.06K,0.40%
"Jul 16, 2021","31,394.0","31,842.3","32,239.8","31,062.2",70.48K,-1.40%
"Jul 15, 2021","31,840.5","32,820.5","33,157.0","31,175.8",76.95K,-2.99%
"Jul 14, 2021","32,820.7","32,727.8","33,051.9","31,611.2",69.56K,0.28%
"Jul 13, 2021","32,728.1","33,106.1","33,307.7","32,259.5",60.04K,-1.16%
"Jul 12, 2021","33,113.0","34,228.3","34,598.0","32,662.8",63.24K,-3.26%
"Jul 11, 2021","34,227.7","33,510.8","34,580.6","33,319.8",35.72K,2.14%
"Jul 10, 2021","33,510.6","33,797.7","34,221.0","33,056.8",50.94K,-0.85%
"Jul 09, 2021","33,797.4","32,866.3","34,079.2","32,367.0",67.14K,2.83%
"Jul 08, 2021","32,866.3","33,859.4","33,923.2","32,146.9",108.09K,-2.96%
"Jul 07, 2021","33,867.8","34,228.7","35,036.6","33,801.3",72.03K,-1.05%
"Jul 06, 2021","34,225.6","33,688.5","35,062.0","33,581.7",83.63K,1.60%
"Jul 05, 2021","33,687.8","35,297.0","35,300.5","33,164.1",88.36K,-4.56%
"Jul 04, 2021","35,298.2","34,742.8","35,957.6","34,740.1",56.13K,1.60%
"Jul 03, 2021","34,742.8","33,814.2","34,909.8","33,363.3",55.69K,2.75%
"Jul 02, 2021","33,813.4","33,542.2","33,925.9","32,734.6",78.93K,0.80%
"Jul 01, 2021","33,543.6","35,030.7","35,032.7","32,839.2",27.41K,-4.23%
"Jun 30, 2021","35,026.9","35,832.6","36,089.5","34,126.6",107.07K,-2.25%
"Jun 29, 2021","35,834.7","34,477.3","36,590.3","34,247.6",97.27K,3.94%
"Jun 28, 2021","34,475.9","34,682.2","35,231.2","33,944.9",112.00K,-0.58%
"Jun 27, 2021","34,678.5","32,247.1","34,685.5","32,041.7",148.80K,7.55%
"Jun 26, 2021","32,243.4","31,592.1","32,643.0","30,206.9",156.67K,2.06%
"Jun 25, 2021","31,594.0","34,660.5","35,490.9","31,337.9",193.43K,-8.86%
"Jun 24, 2021","34,665.8","33,678.1","35,249.9","32,356.7",119.25K,2.94%
"Jun 23, 2021","33,674.3","32,498.3","34,784.3","31,736.5",173.34K,3.62%
"Jun 22, 2021","32,496.4","31,682.7","33,272.5","28,901.8",309.65K,2.54%
"Jun 21, 2021","31,692.0","35,597.9","35,708.4","31,284.1",256.87K,-10.97%
"Jun 20, 2021","35,595.8","35,510.9","36,097.9","33,378.0",137.48K,0.23%
"Jun 19, 2021","35,513.4","35,770.0","36,357.3","34,845.5",105.46K,-0.66%
"Jun 18, 2021","35,749.4","38,045.5","38,166.0","35,198.5",102.84K,-6.05%
"Jun 17, 2021","38,052.0","38,337.8","39,529.9","37,425.3",109.58K,-0.74%
"Jun 16, 2021","38,336.0","40,148.1","40,494.4","38,156.4",123.52K,-4.53%
"Jun 15, 2021","40,156.1","40,522.5","41,318.0","39,589.9",117.55K,-0.92%
"Jun 14, 2021","40,529.4","39,024.1","40,970.4","38,769.9",157.35K,3.86%
"Jun 13, 2021","39,022.9","35,467.5","39,321.6","34,827.0",123.32K,10.02%
"Jun 12, 2021","35,467.5","37,334.4","37,437.3","34,703.3",87.73K,-4.95%
"Jun 11, 2021","37,314.6","36,654.3","37,641.1","36,003.3",109.15K,1.81%
"Jun 10, 2021","36,649.4","37,375.2","38,340.8","35,824.0",154.32K,-1.83%
"Jun 09, 2021","37,332.2","33,385.5","37,517.6","32,428.6",209.82K,11.83%
"Jun 08, 2021","33,382.9","33,574.6","34,047.8","31,158.1",193.54K,-0.58%
"Jun 07, 2021","33,578.0","35,815.4","36,754.6","33,410.1",119.50K,-6.25%
"Jun 06, 2021","35,815.4","35,518.7","36,434.0","35,265.3",62.20K,0.83%
"Jun 05, 2021","35,520.0","36,841.2","37,887.6","34,832.0",101.48K,-3.61%
"Jun 04, 2021","36,851.3","39,191.4","39,255.4","35,659.9",127.71K,-5.96%
"Jun 03, 2021","39,187.3","37,555.7","39,462.3","37,193.6",106.44K,4.34%
"Jun 02, 2021","37,555.8","36,687.7","38,199.9","35,981.1",96.89K,2.37%
"Jun 01, 2021","36,687.6","37,294.3","37,850.3","35,742.7",113.48K,-1.64%
"May 31, 2021","37,298.6","35,644.0","37,480.7","34,213.2",131.70K,4.62%
"May 30, 2021","35,652.8","34,589.3","36,388.6","33,441.0",104.18K,3.09%
"May 29, 2021","34,584.6","35,664.5","37,227.1","33,664.2",160.43K,-3.02%
"May 28, 2021","35,662.5","38,543.2","38,844.1","34,772.4",199.58K,-7.17%
"May 27, 2021","38,417.3","39,249.0","40,322.2","37,190.8",122.93K,-2.12%
"May 26, 2021","39,249.2","38,375.7","40,750.0","37,847.0",153.80K,2.27%
"May 25, 2021","38,378.3","38,753.6","39,740.8","36,540.7",163.01K,-0.96%
"May 24, 2021","38,750.6","34,720.3","39,851.7","34,474.6",244.88K,11.74%
"May 23, 2021","34,679.7","37,446.8","38,248.7","31,192.4",325.73K,-7.39%
"May 22, 2021","37,448.3","37,291.0","38,776.0","35,314.9",185.83K,0.40%
"May 21, 2021","37,297.4","40,611.2","42,108.3","33,592.3",315.50K,-8.40%
"May 20, 2021","40,717.2","36,706.8","42,425.9","35,010.4",269.75K,10.88%
"May 19, 2021","36,720.5","42,898.3","43,516.6","30,261.7",607.10K,-14.40%
"May 18, 2021","42,897.3","43,538.5","45,770.9","42,293.9",154.96K,-1.48%
"May 17, 2021","43,541.3","46,424.2","46,545.4","42,201.5",274.76K,-6.21%
"May 16, 2021","46,426.4","46,729.3","49,764.3","43,920.8",180.07K,-0.60%
"May 15, 2021","46,708.8","49,839.1","50,640.9","46,650.2",131.91K,-6.28%
"May 14, 2021","49,839.8","49,704.9","51,459.2","48,874.0",118.84K,0.27%
"May 13, 2021","49,704.6","49,398.2","51,337.3","46,331.1",236.71K,0.65%
"May 12, 2021","49,384.2","56,694.5","57,938.5","49,187.0",160.74K,-12.90%
"May 11, 2021","56,695.7","55,846.1","56,871.1","54,550.4",96.47K,1.52%
"May 10, 2021","55,848.9","58,251.2","59,523.9","53,678.3",142.61K,-4.10%
"May 09, 2021","58,238.3","58,840.6","59,227.0","56,414.4",103.59K,-1.02%
"May 08, 2021","58,840.1","57,330.3","59,471.1","56,972.2",101.27K,2.62%
"May 07, 2021","57,337.2","56,411.4","58,639.3","55,300.1",110.01K,1.65%
"May 06, 2021","56,405.4","57,441.0","58,364.9","55,294.5",109.02K,-1.80%
"May 05, 2021","57,441.3","53,872.5","57,936.4","53,872.5",119.82K,6.88%
"May 04, 2021","53,741.5","57,170.6","57,201.3","53,741.5",132.33K,-6.00%
"May 03, 2021","57,169.8","56,605.8","58,925.1","56,562.4",89.24K,1.00%
"May 02, 2021","56,603.8","57,807.2","57,868.4","56,110.5",53.61K,-2.08%
"May 01, 2021","57,807.1","57,719.1","58,449.4","57,029.5",63.41K,0.15%
"Apr 30, 2021","57,720.3","53,562.3","57,925.6","53,088.7",103.74K,7.77%
"Apr 29, 2021","53,560.8","54,838.6","55,173.7","52,400.0",83.90K,-2.34%
"Apr 28, 2021","54,841.4","55,036.0","56,419.9","53,876.4",86.96K,-0.35%
"Apr 27, 2021","55,036.5","54,011.1","55,427.8","53,345.0",84.08K,1.88%
"Apr 26, 2021","54,020.5","48,963.5","54,320.9","48,815.9",129.76K,10.33%
"Apr 25, 2021","48,963.6","50,088.2","50,532.4","47,098.5",59.20K,-2.25%
"Apr 24, 2021","50,088.9","51,140.8","51,183.0","48,775.2",82.25K,-2.06%
"Apr 23, 2021","51,143.6","51,707.1","52,099.9","47,659.4",214.46K,-1.13%
"Apr 22, 2021","51,729.5","53,821.3","55,408.4","50,590.9",168.13K,-3.88%
"Apr 21, 2021","53,820.2","56,479.5","56,764.4","53,657.6",100.26K,-4.71%
"Apr 20, 2021","56,483.2","55,645.1","57,054.9","53,422.5",115.49K,1.50%
"Apr 19, 2021","55,646.1","56,208.1","57,517.0","54,272.3",117.51K,-1.00%
"Apr 18, 2021","56,207.1","60,043.2","60,362.1","51,817.6",216.81K,-6.39%
"Apr 17, 2021","60,041.9","61,358.3","62,509.1","59,672.1",84.08K,-2.18%
"Apr 16, 2021","61,379.7","63,211.6","63,518.5","60,027.3",136.85K,-2.90%
"Apr 15, 2021","63,216.0","62,978.6","63,729.1","62,067.5",76.97K,0.37%
"Apr 14, 2021","62,980.4","63,544.2","64,778.0","61,366.3",130.43K,-0.88%
"Apr 13, 2021","63,540.9","59,863.6","63,659.0","59,839.4",126.56K,6.14%
"Apr 12, 2021","59,863.8","59,982.1","61,259.9","59,569.2",81.88K,-0.19%
"Apr 11, 2021","59,978.7","59,772.4","60,667.1","59,250.3",58.20K,0.39%
"Apr 10, 2021","59,748.4","58,127.4","61,229.0","57,900.0",103.72K,2.80%
"Apr 09, 2021","58,118.7","58,076.8","58,890.9","57,686.0",59.22K,0.07%
"Apr 08, 2021","58,077.4","55,948.0","58,136.7","55,721.6",64.78K,3.80%
"Apr 07, 2021","55,948.7","57,996.3","58,627.7","55,489.3",110.69K,-3.53%
"Apr 06, 2021","57,996.3","59,169.0","59,487.0","57,403.3",77.15K,-1.69%
"Apr 05, 2021","58,993.4","58,202.3","59,205.1","56,842.7",54.13K,1.36%
"Apr 04, 2021","58,199.9","57,059.7","58,464.8","56,470.6",57.21K,2.00%
"Apr 03, 2021","57,059.9","58,976.8","59,770.5","56,906.7",68.74K,-3.25%
"Apr 02, 2021","58,977.3","58,718.2","60,134.9","58,466.5",72.37K,0.44%
"Apr 01, 2021","58,718.3","58,763.2","59,406.5","58,040.7",69.04K,-0.08%
"Mar 31, 2021","58,763.7","58,771.4","59,795.6","56,991.6",98.06K,-0.01%
"Mar 30, 2021","58,771.3","57,614.6","59,366.9","57,077.1",86.21K,2.00%
"Mar 29, 2021","57,616.2","55,764.7","58,392.6","54,951.1",107.91K,3.32%
"Mar 28, 2021","55,765.2","55,856.9","56,504.2","54,711.3",58.71K,-0.17%
"Mar 27, 2021","55,862.9","55,033.8","56,531.1","54,010.2",73.87K,1.50%
"Mar 26, 2021","55,036.1","51,317.4","55,074.1","51,302.0",100.30K,7.24%
"Mar 25, 2021","51,322.3","52,330.0","53,175.4","50,441.3",143.35K,-1.92%
"Mar 24, 2021","52,325.4","54,309.1","57,169.4","51,725.4",137.91K,-3.91%
"Mar 23, 2021","54,452.5","54,117.5","55,813.8","52,992.3",84.84K,0.54%
"Mar 22, 2021","54,158.3","57,379.3","58,379.9","53,784.2",95.53K,-5.62%
"Mar 21, 2021","57,383.8","58,097.4","58,583.8","55,583.3",77.47K,-1.22%
"Mar 20, 2021","58,093.4","58,084.1","59,882.1","57,863.0",67.83K,0.01%
"Mar 19, 2021","58,088.0","57,645.0","59,448.3","56,305.1",83.98K,0.75%
"Mar 18, 2021","57,656.0","58,911.8","60,088.0","57,099.6",102.62K,-2.13%
"Mar 17, 2021","58,913.5","56,892.9","58,933.2","54,253.2",118.26K,3.56%
"Mar 16, 2021","56,889.7","55,619.5","56,889.7","53,342.6",128.51K,1.97%
"Mar 15, 2021","55,791.3","59,117.4","60,565.9","55,088.8",117.71K,-5.62%
"Mar 14, 2021","59,113.7","61,192.7","61,673.7","59,113.7",80.29K,-3.40%
"Mar 13, 2021","61,195.3","57,267.4","61,795.8","56,118.8",134.64K,6.86%
"Mar 12, 2021","57,265.1","57,806.2","58,052.3","55,134.5",116.96K,-0.92%
"Mar 11, 2021","57,799.5","55,851.2","58,135.0","54,351.8",129.63K,3.49%
"Mar 10, 2021","55,851.9","54,882.7","57,328.7","53,073.6",140.96K,1.77%
"Mar 09, 2021","54,879.0","52,352.4","54,880.6","51,941.3",114.06K,4.91%
"Mar 08, 2021","52,311.0","50,988.9","52,384.9","49,338.1",68.14K,2.61%
"Mar 07, 2021","50,982.3","48,899.0","51,434.1","48,890.6",82.91K,4.35%
"Mar 06, 2021","48,855.6","48,798.7","49,191.8","47,132.8",66.66K,0.13%
"Mar 05, 2021","48,792.5","48,363.6","49,429.4","46,370.1",113.64K,0.75%
"Mar 04, 2021","48,428.0","50,388.0","51,757.7","47,521.8",9.56K,-3.90%
"Mar 03, 2021","50,395.1","48,422.2","52,567.9","48,159.2",44.93K,4.07%
"Mar 02, 2021","48,424.2","49,595.6","50,191.9","47,100.6",102.10K,-2.36%
"Mar 01, 2021","49,595.5","45,160.5","49,774.0","45,008.8",137.52K,9.81%
"Feb 28, 2021","45,164.0","46,136.0","46,582.0","43,100.6",135.08K,-2.11%
"Feb 27, 2021","46,136.7","46,333.1","48,335.1","45,059.4",98.75K,-0.45%
"Feb 26, 2021","46,345.6","46,928.5","48,413.9","44,248.2",189.41K,-1.24%
"Feb 25, 2021","46,928.5","49,695.9","52,013.8","46,773.7",83.22K,-5.57%
"Feb 24, 2021","49,697.5","48,911.1","51,311.8","47,031.7",153.75K,1.61%
"Feb 23, 2021","48,911.2","54,114.1","54,115.0","45,093.8",315.07K,-9.61%
"Feb 22, 2021","54,111.8","57,437.6","57,480.8","48,353.8",244.95K,-5.78%
"Feb 21, 2021","57,433.8","55,907.6","58,335.1","55,502.7",87.26K,2.70%
"Feb 20, 2021","55,923.7","55,922.0","57,523.8","54,124.1",127.85K,0.03%
"Feb 19, 2021","55,906.6","51,590.1","56,238.5","50,816.8",139.43K,8.38%
"Feb 18, 2021","51,582.2","52,094.5","52,524.0","50,941.6",94.35K,-0.95%
"Feb 17, 2021","52,079.2","49,161.3","52,577.7","49,018.1",140.03K,5.92%
"Feb 16, 2021","49,169.7","47,934.2","50,515.8","47,044.4",141.37K,2.57%
"Feb 15, 2021","47,936.3","48,611.1","48,936.5","45,786.1",123.18K,-1.45%
"Feb 14, 2021","48,643.4","47,172.1","49,695.1","47,051.9",106.50K,3.13%
"Feb 13, 2021","47,168.7","47,373.1","48,097.3","46,270.5",89.42K,-0.43%
"Feb 12, 2021","47,371.7","47,995.0","48,927.4","46,218.6",133.73K,-1.29%
"Feb 11, 2021","47,990.7","44,834.8","48,622.1","44,041.1",145.77K,7.04%
"Feb 10, 2021","44,836.0","46,507.8","47,295.3","43,800.5",151.83K,-3.60%
"Feb 09, 2021","46,508.6","46,396.4","48,143.5","45,104.7",193.87K,0.24%
"Feb 08, 2021","46,395.7","38,853.6","46,596.4","38,057.0",248.47K,19.41%
"Feb 07, 2021","38,852.9","39,228.9","39,691.7","37,381.6",125.37K,-1.03%
"Feb 06, 2021","39,256.6","38,300.6","40,939.7","38,275.3",156.02K,2.50%
"Feb 05, 2021","38,297.6","36,976.4","38,303.6","36,640.0",100.60K,3.56%
"Feb 04, 2021","36,982.1","37,648.9","38,707.9","36,380.8",151.44K,-1.77%
"Feb 03, 2021","37,646.8","35,486.9","37,646.8","35,401.5",131.03K,6.09%
"Feb 02, 2021","35,485.2","33,514.0","35,976.1","33,462.4",120.85K,5.88%
"Feb 01, 2021","33,515.7","33,106.8","34,685.6","32,324.9",126.32K,1.23%
"Jan 31, 2021","33,108.1","34,281.6","34,348.3","32,189.9",101.92K,-3.43%
"Jan 30, 2021","34,283.1","34,300.0","34,920.9","32,908.5",128.57K,-0.05%
"Jan 29, 2021","34,301.8","33,381.7","38,546.0","31,953.3",297.73K,2.78%
"Jan 28, 2021","33,374.8","30,408.9","33,790.8","29,911.9",167.39K,9.77%
"Jan 27, 2021","30,404.0","32,499.6","32,545.4","29,290.4",194.35K,-6.46%
"Jan 26, 2021","32,502.1","32,244.1","32,917.7","30,850.0",139.84K,0.77%
"Jan 25, 2021","32,252.3","32,244.3","34,854.3","31,967.4",142.43K,0.03%
"Jan 24, 2021","32,241.3","32,088.5","33,034.8","30,982.9",88.21K,0.47%
"Jan 23, 2021","32,088.9","32,994.1","33,441.4","31,418.2",100.70K,-2.76%
"Jan 22, 2021","33,000.5","30,838.7","33,821.2","28,871.2",243.09K,7.00%
"Jan 21, 2021","30,842.1","35,472.3","35,591.1","30,101.8",253.27K,-13.06%
"Jan 20, 2021","35,476.3","35,862.1","36,384.4","33,444.5",153.61K,-1.46%
"Jan 19, 2021","36,002.9","36,630.6","37,821.0","36,001.4",79.11K,-1.67%
"Jan 18, 2021","36,613.2","35,838.2","37,436.8","34,801.0",111.52K,2.16%
"Jan 17, 2021","35,839.6","36,020.1","36,801.3","33,883.5",126.82K,-0.50%
"Jan 16, 2021","36,019.5","36,751.8","37,931.7","35,408.4",137.02K,-2.24%
"Jan 15, 2021","36,845.8","39,175.7","39,715.0","34,488.7",118.42K,-5.95%
"Jan 14, 2021","39,175.7","37,383.4","40,054.3","36,772.1",172.40K,4.80%
"Jan 13, 2021","37,382.2","34,061.2","37,764.6","32,451.9",209.93K,9.70%
"Jan 12, 2021","34,076.1","35,426.0","36,598.7","32,572.7",241.93K,-4.13%
"Jan 11, 2021","35,544.3","38,195.3","38,217.2","30,411.6",251.04K,-6.93%
"Jan 10, 2021","38,192.2","40,149.7","41,362.4","35,141.6",215.78K,-4.88%
"Jan 09, 2021","40,151.9","40,607.2","41,363.5","38,775.1",128.42K,-1.10%
"Jan 08, 2021","40,599.3","39,466.4","41,921.7","36,613.4",251.29K,2.89%
"Jan 07, 2021","39,460.2","36,798.5","40,340.9","36,361.2",249.60K,7.25%
"Jan 06, 2021","36,793.2","33,999.3","36,934.8","33,408.3",227.56K,8.24%
"Jan 05, 2021","33,991.5","32,015.4","34,414.7","30,010.5",202.13K,6.15%
"Jan 04, 2021","32,022.6","33,016.6","33,587.5","28,204.5",255.27K,-2.84%
"Jan 03, 2021","32,958.9","32,192.9","34,755.9","32,029.6",155.21K,2.38%
"Jan 02, 2021","32,193.3","29,359.7","33,233.5","29,008.0",240.87K,9.65%
"Jan 01, 2021","29,359.9","28,951.7","29,627.1","28,712.4",100.90K,1.42%
import numpy as np
import matplotlib.pyplot as plt
# RUN 1: Bitcoin is great!
def plot_cherry_picked_bitcoin_data(date, price):
"""
Plots bitcoin data from 2021-2022.
Arguments:
- date, price (both lists)
Returns:
- None (plot pops up)
"""
(fig, ax) = plt.subplots()
# Plot the data
ax.plot(..., ..., color=...)
# Title and labels
ax.set_title('Daily Bitcoin Price (2021-2022)', fontsize=22)
# 10 x ticks
x_ticks = []
for i in range(0, len(date), 100):
x_ticks.append(...)
# 10 y ticks
y_ticks = []
for j in range(10000, 100000, 10000):
...
ax.set_xticks(...)
ax.set_yticks(...)
# Restrict the x-axis (look it up!)
...
# Show the figure
plt.show()
# RUN 2: Caltech v Stanford
def plot_trimmed_y_axis_bar_graph(schools, laureates):
"""
Plots the number of Nobel laureates per school.
Arguments:
- schools, laureates (both lists)
Returns:
- None (plot pops up)
"""
# Create single Axes to manage the plotting
(fig, ax) = plt.subplots()
# Plot the data (bar chart - look it up!!!)
...
# Title and labels
ax.set_title(...)
# Restrict the y-axis
...
# Show the figure
...
# RUN 3: Spurious correlations
def plot_spurious_correlation(years, arcade_revenue, cs_doctorates):
"""
Plots two statistics which are spuriously correlated.
Arguments:
- years, arcade_revenue, cs_doctorates (all lists)
Returns:
- None (plot pops up)
"""
# Start the figure
fig, ax1 = plt.subplots()
# Allow for two functions on one plot
ax2 = ax1.twinx()
# Plot one in red and the other in black
ax1.plot(years, ..., 'r-')
ax2.plot(..., ..., 'k-')
# Restrict the y-axes
ax1.set_ylim([1, 2])
ax2.set_ylim([500, 2000])
# Title and labels
plt.title('Total revenue generated by arcades correlates (98.51%) with ' +
'computer science doctorates awarded in the US', wrap=True)
ax1.set_xlabel('Years')
ax1.set_ylabel('Arcade revenue (billions of USD)', color='red')
ax2.set_ylabel('Computer science doctorates', color='black')
# Show the figure
...
# RUN 4: Misleading trends
def plot_angels_projections(games, wins):
"""
Plots two statistics which are spuriously correlated.
Arguments:
- games, wins (both lists)
Returns:
- None (plot pops up)
"""
# Restrict the games and wins to the first 37 games
early_games = ...
early_wins = ...
# Find the line of best fit (ax + b)
a, b = np.polyfit(early_games, early_wins, 1)
extrapolation = []
for x in range(101):
extrapolation.append(a*x + b)
# Create single Axes to manage the plotting
(fig, ax) = plt.subplots()
# Plot the data and the line of best fit
...
...
# Title and labels
ax.set_title('LA Angel\'s Wins vs. Games played in the 2022 season')
ax.set_xlabel('Games played')
# Set the y axis label
...
# Legend
legend_1 = 'Games they would have won'
legend_2 = 'Games they won'
# Set the legend
...
# Show the figure
...
"""
CS 1 23fa
Lab 05 Provided Backend Code
Original Author: Leo Jenkins
"""
import csv
def get_angels_data():
"""
Returns a (list, list) tuple of game numbers and wins,
respectively, for the Angels in 2022. Data comes from
angels_wins_2022.csv. Both lists contain int values only.
Returns:
- (list, list) tuple representing number of games and wins
"""
ANGELS_DATASET = 'angels_wins_2022.csv'
with open(ANGELS_DATASET, 'r') as csv_file:
csv_reader = csv.DictReader(csv_file)
xs = []
ys = []
wins = 0
for row in csv_reader:
# Convert string values to ints for plotting
xs.append(int(row['Gm#']))
if row['W/L'] == 'W':
wins += 1
ys.append(wins)
return (xs, ys)
def get_bitcoin_data():
"""
Returns a (list, list) tuple of dates and prices for
Bitcoins collected from bitcoin_historical_data.csv.
Dates are represented as strings, and prices are represented as floats.
Returns:
- (list, list) tuple representing dates and prices for Bitcoin data
"""
BITCOIN_DATASET = 'bitcoin_historical_data.csv'
with open(BITCOIN_DATASET, 'r') as csv_file:
csv_reader = csv.DictReader(csv_file)
xs = []
ys = []
for row in csv_reader:
xs.append(row['Date'])
# Standardize price value (which may have ,) to float
# (it's good to break apart these steps for debugging!)
price = row['Price'] # e.g. '20,000.99'
price = price.replace(',', '') # e.g. '20000.99'
price = float(price) # e.g. 20000.99
ys.append(price)
# We're done processing the file, so we end the with block
# Reverse the lists (from list reading!) since dates (xs) are in descending
# order in our dataset, and we need to make sure the prices (ys) stay
# corresponding to the correct dates (remember that xs[i] and ys[i] must
# match as a single (xi, yi) data point)
xs = xs[::-1]
ys = ys[::-1]
return (xs, ys)
from lab05_backend import get_bitcoin_data
from lab05 import plot_cherry_picked_bitcoin_data
if __name__ == '__main__':
dates, prices = get_bitcoin_data()
plot_cherry_picked_bitcoin_data(dates, prices)
from lab05 import plot_trimmed_y_axis_bar_graph
if __name__ == '__main__':
schools = ['Caltech', 'Stanford']
lab05 = [46, 35]
plot_trimmed_y_axis_bar_graph(schools, lab05)
\ No newline at end of file
from lab05 import plot_spurious_correlation
if __name__ == '__main__':
# Generate 10 years between [2000-2010)
years = [i for i in range(2000, 2010)]
# Sample revenues and doctorates for each revenue per year
# (Remember that each index corresponds to the same (x, y) point; order
# matters!)
revenue = [1.196, 1.176, 1.269, 1.24, 1.307, 1.435, 1.601, 1.654, 1.803, 1.734]
doctorates = [861, 830, 809, 867, 848, 1129, 1453, 1656, 1787, 1611]
plot_spurious_correlation(years, revenue, doctorates)
\ No newline at end of file
from lab05_backend import get_angels_data
from lab05 import plot_angels_projections
if __name__ == "__main__":
games_played, games_won = get_angels_data()
plot_angels_projections(games_played, games_won)
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