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Derivatives Market

Derivatives Market

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            4. Synthetic Matching of Calendar Spreads
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            Historical data of calendar spreads

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            Spread identifierDateLastBidAskDaily highDaily lowAmountVolumeTrades
            BRAZIL-6.26-9.2616.03.20260000000.000
            BRAZIL-6.26-9.2617.03.20260000000.000
            BRAZIL-6.26-9.2618.03.20260000000.000
            BRAZIL-6.26-9.2619.03.20260000000.000
            BRAZIL-6.26-9.2620.03.20260000000.000
            BRAZIL-6.26-9.2623.03.20260000000.000
            BRAZIL-6.26-9.2624.03.20260000000.000
            BRAZIL-6.26-9.2625.03.20260000000.000
            BRAZIL-6.26-9.2626.03.20260.40.180.40.40.416,266.601
            BRAZIL-6.26-9.2627.03.20261.80.181.841.840.18318,216.833
            BRAZIL-6.26-9.2630.03.202600.881.920000.000
            BRAZIL-6.26-9.2631.03.202600.880.880000.000
            BRAZIL-6.26-9.2601.04.20260.880.882.330.880.88212,498.182
            BRAZIL-6.26-9.2602.04.202602.332.330000.000
            BRAZIL-6.26-9.2603.04.202602.332.330000.000
            BRAZIL-6.26-9.2606.04.202600.812.330000.000
            BRAZIL-6.26-9.2607.04.202600.812.330000.000
            BRAZIL-6.26-9.2608.04.20260.490.062.330.490.4916,099.101
            BRAZIL-6.26-9.2609.04.20260.060.062.330.150.06743,734.287
            BRAZIL-6.26-9.2610.04.20260.11-0.052.330.180.11318,895.093
            BRAZIL-6.26-9.2613.04.2026-0.21-0.42.330.81-0.4637,893.476
            BRAZIL-6.26-9.2614.04.2026-0.11-0.112.330.18-0.11212,633.322
            BRAZIL-6.26-9.2615.04.2026-0.11-0.632.33-0.11-0.1116,221.181
            BRAZIL-6.26-9.2616.04.20260-0.632.330000.000
            BRAZIL-6.26-9.2617.04.20260-0.632.330000.000
            BRAZIL-6.26-9.2620.04.20260.53-0.632.330.53-0.02318,629.433
            BRAZIL-6.26-9.2621.04.20260-0.632.330000.000
            BRAZIL-6.26-9.2622.04.20260.83-0.632.330.830.831591,389.7512
            BRAZIL-6.26-9.2623.04.20260-0.632.330000.000
            BRAZIL-6.26-9.2624.04.20260-0.632.330000.000
            12
            Data is aggregated for one trading day and includes all additional trading sessions, including weekend trading sessions (if them are held)