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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
            TRNF-3.22-6.2210.12.20210000000.000
            TRNF-3.22-6.2213.12.20210000000.000
            TRNF-3.22-6.2214.12.20210727672760000.000
            TRNF-3.22-6.2215.12.20210629772760000.000
            TRNF-3.22-6.2216.12.20210410062970000.000
            TRNF-3.22-6.2217.12.20210410055000000.000
            TRNF-3.22-6.2223.12.20210-179674310000.000
            TRNF-3.22-6.2224.12.20210-179674310000.000
            TRNF-3.22-6.2227.12.20210-179674310000.000
            TRNF-3.22-6.2228.12.20210-87866860000.000
            TRNF-3.22-6.2229.12.20210-90440970000.000
            TRNF-3.22-6.2230.12.20210-93540960000.000
            TRNF-3.22-6.2203.01.20220-93539990000.000
            TRNF-3.22-6.2204.01.20220-124239970000.000
            TRNF-3.22-6.2205.01.20220-124239950000.000
            TRNF-3.22-6.2206.01.20220-131139930000.000
            TRNF-3.22-6.2207.01.20220-131172810000.000
            TRNF-3.22-6.2210.01.20220410072810000.000
            TRNF-3.22-6.2211.01.20220-43966990000.000
            TRNF-3.22-6.2212.01.20220-63848810000.000
            TRNF-3.22-6.2213.01.20220-81769950000.000
            TRNF-3.22-6.2214.01.20220-131869950000.000
            TRNF-3.22-6.2217.01.20220-131874400000.000
            TRNF-3.22-6.2218.01.20220-131875190000.000
            TRNF-3.22-6.2219.01.20220-131877810000.000
            TRNF-3.22-6.2220.01.20220-131877810000.000
            TRNF-3.22-6.2221.01.20220-131877810000.000
            TRNF-3.22-6.2224.01.20220-131877810000.000
            TRNF-3.22-6.2225.01.20220-131877810000.000
            TRNF-3.22-6.2226.01.20226676-43917781667666761302,452.001
            123
            Data is aggregated for one trading day and includes all additional trading sessions, including weekend trading sessions (if them are held)