皇冠皇冠投注比分

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                   |   GST ID : 27AAECS6989F1ZS
                   |   CIN : U72200MH2000PTC125470

                Polypropylene (PP) CFR South East Asia Price Forecast

                ‘Price forecasting’ is a vital and essential tool for every individual, involved in buying and selling polymers. The tool is also useful for industry consultants, analysts and those wishing to take positions on global commodity exchanges. We at Polymerupdate are sensitive to the needs of the markets and have worked diligently over the past several months to develop our very own ‘Price Forecast' tool, which includes all prime variables that we believe, affect prices.

                Key benefits :

                • Historical data purely extracted from Polymerupdate database cell
                • PP price forecast grades – Injection/Raffia, Film, BOPP, Block Copolymer
                • Region - CFR South East Asia
                • Forecast weekly prices for the next 12 months
                • Forecast prices are updated weekly, on every Tuesday for the next 12 months. Whereas, actual prices are updated weekly, on every Wednesday
                • Type of forecasting - Medium term forecasting for better end user results
                • Technology - Machine Learning model
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                Polypropylene forecast prices are updated weekly, on every Tuesday for the next 12 months. Whereas, actual prices are updated weekly, on every Wednesday.
                Month Week PP Injection / Raffia
                (USD/MT)
                PP Film
                (USD/MT)
                BOPP
                (USD/MT)
                PP Block Copolymer
                (USD/MT)
                Predicted Actual Predicted Actual Predicted Actual Predicted Actual
                Jan-2020 Week 1
                (01-01-2020)
                Week 2
                (08-01-2020)
                Week 3
                (15-01-2020)
                Week 4
                (22-01-2020)
                Week 5
                (29-01-2020)
                Feb-2020 Week 1
                (05-02-2020)
                Week 2
                (12-02-2020)
                Week 3
                (19-02-2020)
                Week 4
                (26-02-2020)
                Mar-2020 Week 1
                (04-03-2020)
                Week 2
                (11-03-2020)
                Week 3
                (18-03-2020)
                Week 4
                (25-03-2020)
                Apr-2020 Week 1
                (01-04-2020)
                Week 2
                (08-04-2020)
                Week 3
                (15-04-2020)
                Week 4
                (22-04-2020)
                Week 5
                (29-04-2020)
                May-2020 Week 1
                (06-05-2020)
                Week 2
                (13-05-2020)
                Week 3
                (20-05-2020)
                Week 4
                (27-05-2020)
                Jun-2020 Week 1
                (03-06-2020)
                Week 2
                (10-06-2020)
                Week 3
                (17-06-2020)
                Week 4
                (24-06-2020)
                Jul-2020 Week 1
                (01-07-2020)
                Week 2
                (08-07-2020)
                Week 3
                (15-07-2020)
                Week 4
                (22-07-2020)
                Week 5
                (29-07-2020)
                Aug-2020 Week 1
                (05-08-2020)
                Week 2
                (12-08-2020)
                Week 3
                (19-08-2020)
                Week 4
                (26-08-2020)
                Sep-2020 Week 1
                (02-09-2020)
                Week 2
                (09-09-2020)
                Week 3
                (16-09-2020)
                Week 4
                (23-09-2020)
                Week 5
                (30-09-2020)
                Oct-2020 Week 1
                (07-10-2020)
                Week 2
                (14-10-2020)
                Week 3
                (21-10-2020)
                Week 4
                (28-10-2020)
                Nov-2020 Week 1
                (04-11-2020)
                Week 2
                (11-11-2020)
                Week 3
                (18-11-2020)
                Week 4
                (25-11-2020)
                Dec-2020 Week 1
                (02-12-2020)
                Week 2
                (09-12-2020)
                Week 3
                (16-12-2020)
                Week 4
                (23-12-2020)
                Week 5
                (30-12-2020)
                Jan-2021 Week 1
                (06-01-2021)
                Week 2
                (13-01-2021)
                Week 3
                (20-01-2021)
                Week 4
                (27-01-2021)
                Feb-2021 Week 1
                (03-02-2021)
                Week 2
                (10-02-2021)
                Week 3
                (17-02-2021)
                Week 4
                (24-02-2021)

                Disclaimer:

                The Polymer Price Forecasting tool has been created for information purposes only, as a possible forward view of future polymer prices. The pricing forecasts presented are based on data obtained from our in-house Polymerupdate Data Analytics Cell, by diluting all the proprietary data the company has assiduously gathered over the past 18 years of being in the business of market intelligence.

                Polymer prices have historically been subject to significant crude oil price volatility and geopolitical uncertainty. The forecasts generated by Polymerupdate are based on an informed interpretation of the available data with the use of Machine Learning and Artificial Intelligence algorithms and while these forecasts are considered reasonable, as of the date of the pricing schedule, there is a high degree of uncertainty associated with any commodity forecasting and users of this information should recognize that future revisions to the forecasts could be significant based on market fluctuations. There will usually be differences between forecasted prices and actual price results because events and circumstances frequently do not occur as expected.

                While every effort has been made to ensure the accuracy in forecasting of polymer prices, no representation or warranty of any kind (whether expressed or implied) is given by Polymerupdate to the accuracy of the forecasted price. Polymerupdate accepts no liability of any kind and disclaims all responsibility for the consequences of any person acting or refraining from acting in reliance on this price forecast in whole or in part.

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