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Historical data of calendar spreads

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Basic asset
Calendar spread
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Spread identifierDateLastBidAskDaily highDaily lowAmountVolumeTrades
CNY-6.23-9.2310.03.20230.170.050.280.20.17821,831,180.0013
CNY-6.23-9.2313.03.20230.140.050.540.210.1357879,817,968.00318
CNY-6.23-9.2314.03.20230.160.090.540.170.144734105,511,715.00406
CNY-6.23-9.2315.03.20230.150.090.540.160.15154434,569,406.00307
CNY-6.23-9.2316.03.20230.1500.540.160.14423995,757,293.00759
CNY-6.23-9.2317.03.20230.1500.540.160.15329674,776,281.00706
CNY-6.23-9.2320.03.20230.1500.540.160.156709153,083,216.001669
CNY-6.23-9.2321.03.20230.1500.540.160.154576104,063,570.001457
CNY-6.23-9.2322.03.20230.1500.540.160.15380486,472,166.001062
CNY-6.23-9.2323.03.20230.1500.540.160.158618195,256,570.001850
CNY-6.23-9.2324.03.20230.1500.540.150.157670173,539,542.001133
CNY-6.23-9.2327.03.20230.1500.540.150.154697106,389,276.00837
CNY-6.23-9.2328.03.20230.1500.540.150.15326974,035,469.00665
CNY-6.23-9.2329.03.20230.1500.540.150.15317772,235,572.00571
CNY-6.23-9.2330.03.20230.1500.540.150.15189243,058,481.00458
CNY-6.23-9.2303.04.20230.15-0.060.540.150.1413171301,682,543.002050
CNY-6.23-9.2304.04.20230.15-0.060.540.150.158056188,158,153.001360
CNY-6.23-9.2305.04.20230.1500.540.150.157849183,718,776.001482
CNY-6.23-9.2306.04.20230.15-0.070.540.150.1424484581,517,380.002052
CNY-6.23-9.2307.04.20230.1500.540.150.1431128749,799,385.003563
CNY-6.23-9.2310.04.20230.1300.540.150.1232839787,013,015.002969
CNY-6.23-9.2311.04.20230.08-0.150.350.130.05571361,373,181,625.003864
CNY-6.23-9.2312.04.20230.08-0.150.350.080.0711813284,060,532.001438
CNY-6.23-9.2313.04.20230.07-0.150.350.080.0714071336,184,383.001381
CNY-6.23-9.2314.04.20230.0700.350.080.079170219,031,279.00685
CNY-6.23-9.2317.04.20230.08-0.160.350.080.0718146432,212,957.001774
CNY-6.23-9.2318.04.20230.0700.350.080.0711125264,368,404.00901
CNY-6.23-9.2319.04.20230.0700.350.080.076602156,946,838.001331
CNY-6.23-9.2320.04.20230.0700.350.070.07346682,538,825.00681
CNY-6.23-9.2321.04.20230.0700.350.070.07332378,881,410.00582
123
Data is aggregated for one trading day and includes all additional trading sessions, including weekend trading sessions (if them are held)