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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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            Calendar spread
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            Spread identifierDateLastBidAskDaily highDaily lowAmountVolumeTrades
            RNFT-6.26-9.2613.03.20260000000.000
            RNFT-6.26-9.2616.03.20265012102655051146,530.005
            RNFT-6.26-9.2617.03.20260121020000.000
            RNFT-6.26-9.2618.03.2026542178714344122,109.0015
            RNFT-6.26-9.2619.03.2026407784071337,421.004
            RNFT-6.26-9.2620.03.202654-31118544525,637.002
            RNFT-6.26-9.2623.03.202648-311185343150415,703.0019
            RNFT-6.26-9.2624.03.202644-3111649443288,232.0012
            RNFT-6.26-9.2625.03.202640-31116464044119,097.0013
            RNFT-6.26-9.2626.03.202644-3172493863170,672.0016
            RNFT-6.26-9.2627.03.202649-317249483080,173.003
            RNFT-6.26-9.2630.03.202645-3170494585230,874.0016
            RNFT-6.26-9.2631.03.202648-31704845101266,518.0024
            RNFT-6.26-9.2601.04.202645-31684845105273,106.0013
            RNFT-6.26-9.2602.04.202640-3168461310612,730,466.0025
            RNFT-6.26-9.2603.04.202640-3168444046118,422.008
            RNFT-6.26-9.2606.04.202639-3167443997253,785.0033
            RNFT-6.26-9.2607.04.202644-31674435182492,914.0025
            RNFT-6.26-9.2608.04.202636-316744365051,273,700.0044
            RNFT-6.26-9.2609.04.202640-3165403654137,062.0014
            RNFT-6.26-9.2610.04.202642-316543401946,776.0011
            RNFT-6.26-9.2613.04.202638-316443382458,789.008
            RNFT-6.26-9.2614.04.202642-3163423897236,566.0017
            RNFT-6.26-9.2615.04.202642-31624238213524,341.0011
            RNFT-6.26-9.2616.04.202638-316239382356,646.006
            RNFT-6.26-9.2617.04.202636-316243368962,070,321.00125
            RNFT-6.26-9.2620.04.202641-31904236415977,746.0088
            RNFT-6.26-9.2621.04.202636-319342354741,112,081.0083
            RNFT-6.26-9.2622.04.202641-319342355571,312,122.0068
            RNFT-6.26-9.2623.04.202639-31924039125300,579.0026
            12
            Data is aggregated for one trading day and includes all additional trading sessions, including weekend trading sessions (if them are held)