Enhance Your Trade with Export Import Trade Data for India - Tradeexim: Your Trusted Data Source!
Maximize your business potential with comprehensive export import trade data for India from Tradeexim. As a leading data source, Tradeexim provides accurate and up-to-date information on import and export activities, market trends, and competitor analysis. Stay informed about the latest trade opportunities, potential partners, and regulatory changes to make well-informed decisions. Whether you're an exporter, importer, or looking to enter the Indian market, Tradeexim offers valuable insights to optimize your trade strategies and boost your success in the dynamic world of international trade. Trust Tradeexim for reliable and actionable data that drives your growth.
Read More:- https://tradeexim.in/articles/kolkata-air-import-data
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Who is the trusted import-export data provider company in the world and why?
Whenever anyone asks for a Genuine import-export data provider then the only name that comes to my mind is Exim Trade Data.
Exim Trade Data is the most trusted global import-export data provider company in the world. They are offering 60+ countries' import-export data.
Their import-export data is verified by the authorized customs departments and some most important unknown sources. They have a team of experts who always keep an eye on all the shipping activities happening in the import-export sector and provide us with the latest import-export data.
They examine the whole global commerce market and provide their clients with the latest trends & technologies so that they can prepare extraordinary strategic plans that help them to boost their import-export business.
In fact, Exim trade data resolve all your import-export problems and boost your market sales, and expand your trade business in the global commerce market.
You can also read more information about this blog: https://globalimportexportdataprovider.blogspot.com/2022/12/global-import-export-trade-data-country.html
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How to Import Candle Charts from TradingView websites?
💥S#.Data provides functionality that supports automatic downloading of historical market data from many data sources. But sometimes websites do not provide an API to make the process automatically. Fortunately, in addition to downloading you can import market data from CSV files directly.
💥TradingView is a charting platform and social network used by many traders and investors worldwide to spot opportunities across global markets. The major feature of the website - various historical dataset - that you can download as a csv file for further usage (e.g. - backtesting, analyzing).
💥For the TradingView website, you need a premium subscription to be able to export candles. Let’s look at this process step-by-step to understand how we can import this market data into S#.Data.
👉Visit TradingView Website.
👉Select Search Market for example NFLX.
👉Click Launch Chart for view.
👉Select Time Flame Candle for example 1 hr.
👉Select Export Chart Data.
👉In the Time format box, select ISO time.
👉Click Export.
👉Open the downloaded Market data file. You can see that the top bar is date and time, open price, low price, close price, volume and volume MA.
👉S#.Data supports only the first 6 data, the last one volume MA we will not take.
👉Open up your S#.Data Application.
👉Visit our instruction if you doesn't have S#.Data application.
👉How I can get S#.Data
👉Go to S#.Data application, click select import and Click candle.
👉Find the name of the file we just downloaded (btw, you can import by directories as well).
👉Click to select the file that we downloaded, click open.
👉Click to select the time frame to match the timeframe we selected in the file we downloaded initially in the data type field.
👉Setting S#.filed from the Security and Board fields.
👉By default put the Instruments Code that we downloaded. For example NFLX in the Security slot in the instrument board e.g. BATS by default.
👉Enter numbers 0-5 in the date box and so on. Remember - numeration started from 0, not from 1.
👉Skip lines Row 1 cause it contains data columns description.
👉Open the file that we downloaded again, select Copy, time, date that we started downloading Market Data.
👉Press Paste in the Date Format field.
👉Change Numbers to Code Letters By yyyy-MM-dd HH:mm:ss You can read more about format on Microsoft website
👉Once everything is entered correctly, click Preview to double check before importing.
👉When the screen shows this page, there is no problem.
👉But if you press Preview and the screen appears like this, check the details that you have entered again to see if there is any mistake, correct it and press Preview again.
👉Once it's verified and there are no problems, press Import.
👉When done, click Back to go to Common.
👉Click on our Security.
👉Click on Instrument Tab to view market Data.
👉Now let's see what data was imported. Click Candles.
👉Select Security, select the Instrument to view by double-clicking the Instrument Tab, move it to the right side and click OK.
👉Select date and time frame.
👉Click View Market data.
👉Click View Candle Chart to see our candles as a chart.
👉This is a Candle Chart comparison between the Chart that was in TradingView website before it was downloaded and the downloaded Chart rendered in S#.Data application.
💥💥Now you know how to import from a CSV file. To make this process you no need to use only limited websites like TradingView. S#.Data supports any format of CSV files that you can download from a variety of sources and websites.
💥Hope this blog is interesting for you. Please comment us what you interesting to know more about S#.Data. We will try to write our next posts.
Sources : StockSharp.com
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Write down the top 5 most trading countries to JNPT Port.
we prepare a list of the top 5 trading countries shipment-wise with their total shipment no and overall percentage. So without wasting more time let's get started. The list and graph are mentioned below -
China - 2,599,569 - (43.30%)
Germany - 828,426 - (13.80%)
Japan - 315,466 - (5.26%)
United Kingdom - 208,622 - (3.48%)
United States Of America - 196,911 - (3.28%)
Visit here more info: https://importexportdatank.blogspot.com/2022/11/nhava-sheva-jnpt-port-trade-data.html
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