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Derivatives Market

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            4. Synthetic Matching of Calendar Spreads
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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
            SBRF-9.16-12.1608.06.20160000000.000
            SBRF-9.16-12.1609.06.20160000000.000
            SBRF-9.16-12.1610.06.20160000000.000
            SBRF-9.16-12.1614.06.201601001000000.000
            SBRF-9.16-12.1615.06.201601003500000.000
            SBRF-9.16-12.1616.06.201601003500000.000
            SBRF-9.16-12.1617.06.201601853500000.000
            SBRF-9.16-12.1620.06.201601003500000.000
            SBRF-9.16-12.1621.06.20163101853503103001123,070,572.002
            SBRF-9.16-12.1622.06.20163101003500000.000
            SBRF-9.16-12.1623.06.20163101853500000.000
            SBRF-9.16-12.1624.06.201635019035335034953,213,320.005
            SBRF-9.16-12.1627.06.20163501904000000.000
            SBRF-9.16-12.1628.06.20163501904000000.000
            SBRF-9.16-12.1629.06.20163501004000000.000
            SBRF-9.16-12.1630.06.20163501003990000.000
            SBRF-9.16-12.1601.07.20163501004000000.000
            SBRF-9.16-12.1604.07.20163501004000000.000
            SBRF-9.16-12.1605.07.20163501004000000.000
            SBRF-9.16-12.1606.07.20163501004000000.000
            SBRF-9.16-12.1607.07.20163501004000000.000
            SBRF-9.16-12.1608.07.20163501004000000.000
            SBRF-9.16-12.1611.07.20163501004000000.000
            SBRF-9.16-12.1612.07.20163501004000000.000
            SBRF-9.16-12.1613.07.20163502004000000.000
            SBRF-9.16-12.1614.07.20163502004000000.000
            SBRF-9.16-12.1615.07.20163502004000000.000
            SBRF-9.16-12.1618.07.20163502004000000.000
            SBRF-9.16-12.1619.07.20163502004000000.000
            SBRF-9.16-12.1620.07.20163502004000000.000
            123
            Data is aggregated for one trading day and includes all additional trading sessions, including weekend trading sessions (if them are held)