Graph and download economic data for Trade Weighted U.S. Dollar Index: Broad, Goods (DISCONTINUED) (TWEXB) from 1995-01-04 to 2020-01-01 about trade-weighted, broad, exchange rate, currency, goods, rate, indexes, and USA.

Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this July 31 of 2025.

United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data was reported at 168.237 Jan1997=100 in Nov 2018. This records an increase from the previous number of 166.528 Jan1997=100 for Oct 2018. United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data is updated monthly, averaging 96.825 Jan1997=100 from Jan 1973 (Median) to Nov 2018, with 551 observations. The data reached an all-time high of 168.237 Jan1997=100 in Nov 2018 and a record low of 1.998 Jan1997=100 in Jul 1973. United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

The euro and U.S. dollar made up more than ***** of 10 SWIFT payments worldwide in 2025, outperforming many other currencies. This is according to a monthly report meant to track the market share of China's yuan renminbi within the international bank transfer system SWIFT. Although China holds the largest forex reserves in the world, the yuan ranked as the ******-used currency in international payments. The figures concern customer-initiated and institutional payments and exclude trade. Discussions on the potential weakening role of the U.S. dollar especially touch world trade and forex. For example, the share of the USD in forex reserves declined visibly against the euro and Japanese yen in 2024. What sparked this de-dollarization trend, and will it continue? Trade sanctions and de-dollarization De-dollarization in 2024 is mentioned mostly alongside trade and the BRICS countries - an informal name given to Brazil, Russia, India, China, and South Africa. The combined GDP of BRICS is about ** percent of the world's economy. After the start of the Ukraine war and Russia received economic sanctions, the BRICS slowly evolved into a trading bloc. The group increasingly wanted its own currency to settle payments within the trade bloc, to avoid using the U.S. dollar. In August 2024, BRICS will gather in South Africa to discuss the creation of such a new joint currency. Additionally, ** countries - including Argentina, Algeria, Egypt, Saudi Arabia, Turkey, and Yemen - expressed interest in joining the BRICS group. CBDC, or projects into a digital payment settlement A factor of future uncertainty for the U.S. dollar is how central bank digital currencies (CBDC) develop in emerging countries. Several projects exist between individual countries that specifically target cross-border interbank payments. A cooperation between Thailand and Hong Kong, Inthanon-Lionrock, ranks as the most advanced of these projects. CBDC does not require the U.S. dollar to function. Tangible such as commodities or gold can back them. The value of transactions processed with CBDC is to grow by ******* percent between 2024 and 2030.

Graph and download economic data for Trade-Weighted Exchange Value of U.S. Dollar vs G-10 Countries (DISCONTINUED) (TWEXMTHY) from Jan 1971 to Dec 1998 about trade-weighted, exchange rate, currency, rate, and USA.

Prices for USDJPY US Dollar Japanese Yen including live quotes, historical charts and news. USDJPY US Dollar Japanese Yen was last updated by Trading Economics this July 31 of 2025.

United States USD Trade Weighted Index: Real: Emerging Market Economies data was reported at 97.567 Jan2006=100 in Jan 2019. This records a decrease from the previous number of 99.691 Jan2006=100 for Dec 2018. United States USD Trade Weighted Index: Real: Emerging Market Economies data is updated monthly, averaging 92.630 Jan2006=100 from Jan 2006 (Median) to Jan 2019, with 157 observations. The data reached an all-time high of 102.109 Jan2006=100 in Jan 2017 and a record low of 82.473 Jan2006=100 in Apr 2013. United States USD Trade Weighted Index: Real: Emerging Market Economies data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

Prices for USDVND US Dollar Vietnamese Dong including live quotes, historical charts and news. USDVND US Dollar Vietnamese Dong was last updated by Trading Economics this July 30 of 2025.

Forex daily volume was nearly *** billion U.S. dollars for the USD currency, an amount ***** times higher than for the euro (EUR). The forex - or foreign exchange market - turnover per day is a figure that is not often measured, only once every three years. No figures are available for 2020, for instance. What figures are available, however, indicate that the USD currency far outweighs that of many other currencies all over the world. What is the forex market? The forex market is based on the fluctuations in the value of currency interest rates. For example, the U.S. dollar performs differently against other major currencies. If one can properly predict these fluctuations, they can buy a weaker currency with a stronger one. After the currencies rebalance, the original currency will be worth more in terms of the exchange rate, giving the investor a profit. There are many foreign exchange trading services, including many multinational banks which already work in multiple currencies. Other currency trading functions Countries and central banks typically hold foreign currencies. These international reserves help facilitate the transactions in international trade, which is one reason China’s foreign reserves are so high. Countries can buy and sell foreign currencies to maintain a particular exchange rate. This is necessary for currencies which are pegged to another currency, such as the U.S. dollar. However, some countries are accused of exchange rate manipulation to make their exports seem more attractive. Finally, certain currencies are considered safer. Citizens and firms in a country with an unstable currency will buy these currencies to avoid volatility, or even hyperinflation, in their home currency.

Prices for USDRUB US Dollar Russian Ruble including live quotes, historical charts and news. USDRUB US Dollar Russian Ruble was last updated by Trading Economics this July 31 of 2025.

United States USD Trade Weighted Index: Nominal: Emerging Market Economies data was reported at 121.368 2006=100 in Jan 2019. This records a decrease from the previous number of 123.885 2006=100 for Dec 2018. United States USD Trade Weighted Index: Nominal: Emerging Market Economies data is updated monthly, averaging 98.829 2006=100 from Jan 2006 (Median) to Jan 2019, with 157 observations. The data reached an all-time high of 124.362 2006=100 in Nov 2018 and a record low of 89.858 2006=100 in Jul 2008. United States USD Trade Weighted Index: Nominal: Emerging Market Economies data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

United States USD Trade Weighted Index: Real: Major Currencies data was reported at 104.556 Mar1973=100 in Oct 2018. This records an increase from the previous number of 103.639 Mar1973=100 for Sep 2018. United States USD Trade Weighted Index: Real: Major Currencies data is updated monthly, averaging 91.800 Mar1973=100 from Jan 1973 (Median) to Oct 2018, with 550 observations. The data reached an all-time high of 131.551 Mar1973=100 in Mar 1985 and a record low of 77.674 Mar1973=100 in Jul 2011. United States USD Trade Weighted Index: Real: Major Currencies data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.M016: US Dollar Trade Weighted Index.

Graph and download economic data for Nominal Broad U.S. Dollar Index (TWEXBGSMTH) from Jan 2006 to Jun 2025 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

Context

Real and up to date stock market exchange of cryptocurrencies can be quite expensive and are hard to get. However, historical financial data are the starting point to develop algorithm(s) to analyze market trend and why not beat the market by predicting market movement.

Content

Data provided in this dataset are historical data from the beginning of ETH-USD pair market on Kraken exchange up to the present (2021 December). This data comes frome real trades on one of the most popular cryptocurrencies exchange.

Trading history

Historical market data, also known as trading history, time and sales or tick data, provides a detailed record of every trade that happens on Kraken exchange, and includes the following information: - Timestamp - The exact date and time of each trade. - Price - The price at which each trade occurred. - Volume - The amount of volume that was traded.

OHLCVT

In addition, OHLCVT data are provided for the most common period interval: 1 min, 5 min, 15 min, 1 hour, 12 hours and 1 day. OHLCVT stands for Open, High, Low, Close, Volume and Trades and represents the following trading information for each time period: - Open - The first traded price - High - The highest traded price - Low - The lowest traded price - Close - The final traded price - Volume - The total volume traded by all trades - Trades - The number of individual trades

Don't hesitate to tell me if you need other period interval 😉 ...

Update

This dataset will be updated every quarter to add new and up to date market trend. Let me know if you need an update more frequently.

Inspiration

Can you beat the market? Let see what you can do with these data!

United States USD Trade Weighted Index: Nominal: Broad data was reported at 128.073 Jan1997=100 in Nov 2018. This records an increase from the previous number of 126.876 Jan1997=100 for Oct 2018. United States USD Trade Weighted Index: Nominal: Broad data is updated monthly, averaging 94.883 Jan1997=100 from Jan 1973 (Median) to Nov 2018, with 551 observations. The data reached an all-time high of 129.640 Jan1997=100 in Feb 2002 and a record low of 30.638 Jan1997=100 in Jul 1973. United States USD Trade Weighted Index: Nominal: Broad data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

Prices for USDBDT US Dollar Bangladeshi Taka including live quotes, historical charts and news. USDBDT US Dollar Bangladeshi Taka was last updated by Trading Economics this July 30 of 2025.

Prices for BRLUSD Brazilian Real US Dollar including live quotes, historical charts and news. BRLUSD Brazilian Real US Dollar was last updated by Trading Economics this August 1 of 2025.

United States USD Trade Weighted Index: Nominal: Broad Dollar Index data was reported at 114.484 2006=100 in Jan 2019. This records a decrease from the previous number of 116.246 2006=100 for Dec 2018. United States USD Trade Weighted Index: Nominal: Broad Dollar Index data is updated monthly, averaging 95.723 2006=100 from Jan 2006 (Median) to Jan 2019, with 157 observations. The data reached an all-time high of 117.932 2006=100 in Dec 2016 and a record low of 86.338 2006=100 in Jul 2011. United States USD Trade Weighted Index: Nominal: Broad Dollar Index data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

Financial prices fluctuate as a results of the market impact of the flow of transactions between traders. Reciprocally, several studies of market microstructure have shown how decisions of individual traders or banks, implemented in their trading strategies, are affected by historical market information. However, little is known about the detailed processes of how such trading strategies at the micro level recursively affect future market information at the macro level. Using a special fined-grained dataset that allows us to track the complete trading behavior of specific banks in a U.S. dollar (USD) versus Japanese yen (JPY) market, we find that position management methods, defined as the number of units of USD bought or sold by banks against JPY, can be classified into two strategies: (1) banks increase their positions by trading in the same direction repeatedly, or (2) banks attempt to reduce their inventories by rapidly shifting their positions toward zero. We then demonstrate that their systematic position management strategies strongly influence future market prices, as demonstrated by our ability using this information to predict market prices about fifteen minutes in advance. Further, by detecting outlier trades, we reveal that traders seem to switch their strategies when they become aware of outlier trades. The evidence obtained here suggests that positions, which are a consequence of historical trading decisions based on the position management strategies of each bank, strongly influence future market prices, and we unravel how market prices at the macro level evolve through an interactive process involving the interaction between well-defined trading strategies at the micro level.

Prices for IDRUSD Indonesian Rupiah US Dollar including live quotes, historical charts and news. IDRUSD Indonesian Rupiah US Dollar was last updated by Trading Economics this July 31 of 2025.