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Key information about Poland Exchange Rate against USD
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Graph and download economic data for Nominal Emerging Market Economies U.S. Dollar Index (DTWEXEMEGS) from 2006-01-02 to 2025-09-12 about trade-weighted, emerging markets, exchange rate, currency, goods, services, rate, indexes, and USA.
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Key information about Poland Real Effective Exchange Rate
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View market daily updates and historical trends for US Dollar to Turkish Lira Exchange Rate. from Turkey. Source: European Central Bank. Track economic da…
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United States SOMA Holdings of Domestic Securities: Floating Rate Notes data was reported at 10.533 USD bn in 07 May 2025. This stayed constant from the previous number of 10.533 USD bn for 30 Apr 2025. United States SOMA Holdings of Domestic Securities: Floating Rate Notes data is updated weekly, averaging 14.941 USD bn from May 2014 (Median) to 07 May 2025, with 567 observations. The data reached an all-time high of 30.570 USD bn in 27 Jul 2022 and a record low of 0.000 USD mn in 30 Jul 2014. United States SOMA Holdings of Domestic Securities: Floating Rate Notes data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.KA012: System Open Market Account Holdings of Domestic Securities.
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View market daily updates and historical trends for US Dollar to Chinese Yuan Exchange Rate. from China. Source: European Central Bank. Track economic dat…
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Graph and download economic data for Nominal Emerging Market Economies U.S. Dollar Index (TWEXEMEGSANL) from 2006 to 2024 about trade-weighted, emerging markets, exchange rate, currency, services, goods, rate, indexes, and USA.
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Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-10-03 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.
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Global Government Open Data Management Platform Market is poised for a significant growth, with market size projected to surge from USD 3.33 Billion in 2024 to USD 9.23 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 11.99% during the forecast period.
The Global Government Open Data Management Platform market size to cross USD 9.23 Billion in 2033. [https://edison.value
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Crude Oil rose to 62.42 USD/Bbl on October 8, 2025, up 1.12% from the previous day. Over the past month, Crude Oil's price has fallen 0.33%, and is down 14.77% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on October of 2025.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 179.59(USD Billion) |
MARKET SIZE 2024 | 186.33(USD Billion) |
MARKET SIZE 2032 | 250.0(USD Billion) |
SEGMENTS COVERED | Functionality, Type of Operations, Technological Infrastructure, End Users, Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | monetary policy innovation, digital currency adoption, regulatory compliance pressures, economic stability concerns, cross-border payment efficiencies |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Central Bank of Argentina, Bank of England, European Central Bank, Swiss National Bank, Bank of Japan, People's Bank of China, South African Reserve Bank, Federal Reserve, Central Bank of Brazil, Banco de México, Bank of Korea, Sveriges Riksbank, Reserve Bank of India, Reserve Bank of Australia, Bank of Canada |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Digital currency adoption, Enhanced regulatory frameworks, Advanced data analytics integration, Cybersecurity advancements, Cross-border payment innovations |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 3.75% (2025 - 2032) |
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Key information about Saudi Arabia Real Effective Exchange Rate
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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.
Data provided in this dataset are historical data from the beginning of CTSI-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.
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.
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 😉 ...
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.
Can you beat the market? Let see what you can do with these data!
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Rice fell to 10.89 USD/cwt on October 8, 2025, down 1.31% from the previous day. Over the past month, Rice's price has fallen 6.48%, and is down 28.19% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Rice - values, historical data, forecasts and news - updated on October of 2025.
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Palm Oil rose to 4,546 MYR/T on October 8, 2025, up 1.65% from the previous day. Over the past month, Palm Oil's price has risen 1.45%, and is up 6.94% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Palm Oil - values, historical data, forecasts and news - updated on October of 2025.
The inflation rate in the United States declined significantly between June 2022 and August 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at *** percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at **** percent, and remained unchanged until September 2024, when the Federal Reserve implemented its first rate cut since September 2021. By January 2025, the rate dropped to **** percent, signalling a shift in monetary policy. What is the Federal Reserve interest rate? The Federal Reserve interest rate, or the federal funds rate, is the rate at which banks and credit unions lend to and borrow from each other. It is one of the Federal Reserve's key tools for maintaining strong employment rates, stable prices, and reasonable interest rates. The rate is determined by the Federal Reserve and adjusted eight times a year, though it can be changed through emergency meetings during times of crisis. The Fed doesn't directly control the interest rate but sets a target rate. It then uses open market operations to influence rates toward this target. Ways of measuring inflation Inflation is typically measured using several methods, with the most common being the Consumer Price Index (CPI). The CPI tracks the price of a fixed basket of goods and services over time, providing a measure of the price changes consumers face. At the end of 2023, the CPI in the United States was ****** percent, up from ****** a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.
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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.
Data provided in this dataset are historical data from the beginning of MIR-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.
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.
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 😉 ...
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.
Can you beat the market? Let see what you can do with these data!
According to our latest research, the global API Rate Limiting for Open Banking market size reached USD 1.28 billion in 2024, with an impressive year-over-year growth. The market is set to grow at a CAGR of 18.4% from 2025 to 2033, with the forecasted market value expected to reach USD 6.29 billion by 2033. The primary growth driver is the increasing adoption of open banking frameworks worldwide, necessitating robust API management and security mechanisms to ensure compliance, performance, and customer trust.
The expansion of open banking initiatives, particularly in regions like Europe and Asia Pacific, is a significant growth factor for the API Rate Limiting for Open Banking market. Regulatory mandates such as PSD2 in the European Union and similar frameworks in Australia and the UK have compelled banks and financial institutions to open their APIs to third parties. This has substantially increased the volume and complexity of API calls, making rate limiting essential for maintaining system stability and preventing abuse. As the number of fintech participants and third-party providers grows, banks are investing heavily in sophisticated API management solutions that include real-time rate limiting, traffic shaping, and analytics to ensure seamless and secure integration with external partners.
Another crucial driver is the escalating threat landscape in the digital banking ecosystem. With the proliferation of APIs, the risk of denial-of-service attacks, data breaches, and fraudulent activities has risen sharply. Financial institutions recognize that API rate limiting is not only a performance management tool but also a critical security layer. By setting thresholds and monitoring API consumption, organizations can detect anomalies, mitigate brute-force attacks, and comply with regulatory requirements for data protection. This heightened focus on security and compliance is prompting banks, fintechs, and payment service providers to adopt advanced API rate limiting solutions as a core component of their open banking infrastructure.
The rapid digital transformation across the financial sector, accelerated by the COVID-19 pandemic, has further fueled the demand for API rate limiting solutions. As customers increasingly prefer digital channels for banking and payments, the volume of API transactions has surged. Enterprises are seeking scalable, cloud-based API management platforms that offer flexible rate limiting configurations to accommodate fluctuating traffic patterns and ensure uninterrupted service delivery. The emergence of new use cases, such as embedded finance and Banking-as-a-Service (BaaS), is also driving innovation in API rate limiting technologies, enabling financial institutions to offer differentiated services while maintaining operational resilience.
Regionally, Europe remains at the forefront of the API Rate Limiting for Open Banking market, driven by its early adoption of open banking regulations and a mature fintech ecosystem. North America is experiencing robust growth, fueled by increasing investments in digital banking and API security solutions. The Asia Pacific region is emerging as a high-growth market, with countries like Australia, Singapore, and India implementing open banking frameworks and encouraging API-driven innovation. Latin America and the Middle East & Africa are gradually catching up, supported by regulatory reforms and the growing penetration of digital financial services. Each region presents unique challenges and opportunities, shaping the competitive dynamics and technology adoption patterns in the global market.
The API Rate Limiting for Open Banking market by component is segmented into software and services, with both playing pivotal roles in the overall ecosystem. The software segment encompasses API gateway solutions, traffic management tools, and security platforms that enforce rate limiting policies. These solutions are designed to handle high volumes of API call
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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.
Data provided in this dataset are historical data from the beginning of RARI-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.
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.
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 😉 ...
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.
Can you beat the market? Let see what you can do with these data!
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
Data provided in this dataset are historical data from the beginning of MATIC-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.
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.
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 😉 ...
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.
Can you beat the market? Let see what you can do with these data!
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Poland Exchange Rate against USD