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Derivatives Market

Derivatives Market

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

            Instruments
            Basic asset
            Calendar spread
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            Скачать данные в формате: Download CSV (spacers – commas)   Download CSV (spacers – semicolons)   Download Metastock
            Spread identifierDateLastBidAskDaily highDaily lowAmountVolumeTrades
            MMI-3.26-6.2611.12.20250000000.000
            MMI-3.26-6.2612.12.20250-197-900000.000
            MMI-3.26-6.2615.12.20250000000.000
            MMI-3.26-6.2616.12.20250-56-560000.000
            MMI-3.26-6.2617.12.20250000000.000
            MMI-3.26-6.2618.12.20250000000.000
            MMI-3.26-6.2619.12.20250000000.000
            MMI-3.26-6.2622.12.20250-1943420000.000
            MMI-3.26-6.2623.12.20250-1943420000.000
            MMI-3.26-6.2624.12.20250-1943420000.000
            MMI-3.26-6.2625.12.20250-1943420000.000
            MMI-3.26-6.2626.12.20250-1944000000.000
            MMI-3.26-6.2629.12.20250-1004000000.000
            MMI-3.26-6.2630.12.20250-1004000000.000
            MMI-3.26-6.2605.01.20260-1004000000.000
            MMI-3.26-6.2606.01.20260-1004000000.000
            MMI-3.26-6.2608.01.20260-1004000000.000
            MMI-3.26-6.2609.01.20260-1004000000.000
            MMI-3.26-6.2612.01.20260-1004000000.000
            MMI-3.26-6.2613.01.20260-1004000000.000
            MMI-3.26-6.2614.01.20260-1004000000.000
            MMI-3.26-6.2615.01.2026142-10040030312341,413.003
            MMI-3.26-6.2616.01.20260-1004000000.000
            MMI-3.26-6.2619.01.20260-1004000000.000
            MMI-3.26-6.2620.01.20260-1004000000.000
            MMI-3.26-6.2621.01.20260-1004000000.000
            MMI-3.26-6.2622.01.20260-1004000000.000
            MMI-3.26-6.2623.01.20260-1004000000.000
            MMI-3.26-6.2626.01.2026266-100400336-678116,166.008
            MMI-3.26-6.2627.01.2026295-100400336270459,508.004
            12
            Data is aggregated for one trading day and includes all additional trading sessions, including weekend trading sessions (if them are held)