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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

            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
            TRNF-6.23-9.2310.03.20230000000.000
            TRNF-6.23-9.2313.03.20230230023000000.000
            TRNF-6.23-9.2314.03.20230230023000000.000
            TRNF-6.23-9.2315.03.20230230023000000.000
            TRNF-6.23-9.2316.03.20230230023000000.000
            TRNF-6.23-9.2317.03.20230230023000000.000
            TRNF-6.23-9.2320.03.20230230023000000.000
            TRNF-6.23-9.2321.03.20230230023000000.000
            TRNF-6.23-9.2322.03.20230230023000000.000
            TRNF-6.23-9.2323.03.20230230023000000.000
            TRNF-6.23-9.2324.03.20230230023000000.000
            TRNF-6.23-9.2327.03.20230230023000000.000
            TRNF-6.23-9.2328.03.20230230023000000.000
            TRNF-6.23-9.2329.03.20230230023000000.000
            TRNF-6.23-9.2330.03.20230230023000000.000
            TRNF-6.23-9.2303.04.20230230023000000.000
            TRNF-6.23-9.2304.04.20230230023000000.000
            TRNF-6.23-9.2305.04.20230110011000000.000
            TRNF-6.23-9.2306.04.20230361036100000.000
            TRNF-6.23-9.2307.04.20230120012000000.000
            TRNF-6.23-9.2310.04.20230120012000000.000
            TRNF-6.23-9.2311.04.20230120025000000.000
            TRNF-6.23-9.2312.04.20230120012000000.000
            TRNF-6.23-9.2313.04.20230120012000000.000
            TRNF-6.23-9.2314.04.20230120012000000.000
            TRNF-6.23-9.2317.04.20230120012000000.000
            TRNF-6.23-9.2318.04.20230120012000000.000
            TRNF-6.23-9.2319.04.20230120012000000.000
            TRNF-6.23-9.2320.04.2023-1004-10041200-1004-10041238,804.001
            TRNF-6.23-9.2321.04.20230-1029000000.000
            123
            Data is aggregated for one trading day and includes all additional trading sessions, including weekend trading sessions (if them are held)