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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
            INR-9.25-12.2511.06.20250000000.000
            INR-9.25-12.2513.06.20250000000.000
            INR-9.25-12.2516.06.20250000000.000
            INR-9.25-12.2517.06.20250000000.000
            INR-9.25-12.2518.06.202500.070.070000.000
            INR-9.25-12.2519.06.202500.070.070000.000
            INR-9.25-12.2520.06.202500.070.070000.000
            INR-9.25-12.2523.06.202500.070.070000.000
            INR-9.25-12.2524.06.202500.070.070000.000
            INR-9.25-12.2525.06.202500.070.070000.000
            INR-9.25-12.2526.06.202500.070.070000.000
            INR-9.25-12.2527.06.202500.070.070000.000
            INR-9.25-12.2530.06.202500.070.070000.000
            INR-9.25-12.2501.07.202500.070.070000.000
            INR-9.25-12.2502.07.202500.070.070000.000
            INR-9.25-12.2503.07.202500.070.070000.000
            INR-9.25-12.2504.07.202500.070.070000.000
            INR-9.25-12.2507.07.202500.060.070000.000
            INR-9.25-12.2508.07.202500.060.070000.000
            INR-9.25-12.2509.07.202500.060.070000.000
            INR-9.25-12.2510.07.202500.060.070000.000
            INR-9.25-12.2511.07.202500.060.070000.000
            INR-9.25-12.2514.07.202500.060.070000.000
            INR-9.25-12.2515.07.202500.060.070000.000
            INR-9.25-12.2516.07.202500.060.070000.000
            INR-9.25-12.2517.07.202500.060.070000.000
            INR-9.25-12.2518.07.202500.060.070000.000
            INR-9.25-12.2521.07.202500.060.070000.000
            INR-9.25-12.2522.07.202500.060.070000.000
            INR-9.25-12.2523.07.20250.030.020.070.070.033114,868.003
            123
            Data is aggregated for one trading day and includes all additional trading sessions, including weekend trading sessions (if them are held)