Tick Historical Forex Data (£240 a year per currency pair)
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Frequently asked questions
What is Tick Historical Forex Data (£240 a year per currency pair)?
Our Forex Tick data starts from September 2016, and includes bid, ask and timestamp in milliseconds. Our historical tick data gives a trusted and non-skewed dataset. Perfect for back-testing trading strategies and price verification.
Who can use Tick Historical Forex Data (£240 a year per currency pair)?
This product is best suited if you’re a Small Business or Medium-sized Business looking for Forex Data. Get in touch with TraderMade to see what their data can do for your business and find out which integrations they provide.
Which countries does Tick Historical Forex Data (£240 a year per currency pair) cover?
This product includes data covering 72 countries like USA, China, Japan, Germany, and India. TraderMade is headquartered in United Kingdom.
How much does Tick Historical Forex Data (£240 a year per currency pair) cost?
Pricing information for Tick Historical Forex Data (£240 a year per currency pair) is available by getting in contact with TraderMade. Connect with TraderMade to get a quote and arrange custom pricing models based on your data requirements.
What is the data quality of Tick Historical Forex Data (£240 a year per currency pair)?
You can compare and assess the data quality of TraderMade using Datarade’s data marketplace. TraderMade has received 1 review from clients.
What are similar products to Tick Historical Forex Data (£240 a year per currency pair)?
This product has 3 related products. These alternatives include EDI FX Option Volatility Data for Valuations, Portfolio Analytics and Risk Management 30 Currencies and 2 Commodities Forex Data Daily Updates, CoinAPI: Crypto Trade Data Trade-by-Trade Data Real-Time & Historical Trading data 350+ Exchanges CEX & DEX, and OHLC Minute Historical Forex Data (£120 a year per currency pair). You can compare the best Forex Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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