Analysis: Competitor Exchanges Eat Binance's Dust in First Week of July
- Rivalry between leading exchanges continues but Binance gains more advantage


Binance’s biggest rival OKEx followed closely behind with a registered cumulative volume of $8.56 billion the same period. However, the current gap between the two biggest trading venues is visibly larger than it was in June when both exchanges achieved similar results.
Compared to June, we have one change in the Top 5. ZB.COM snatched fifth place from HitBTC with a cumulated volume of $2.89 billion. The Chinese exchange came close to Bitfinex, which currently holds the fourth position in the current volume rankings with a result of #3.16 billion in cumulated volume.

A curious development could be observed in regards to Bithumb last week. For the first four days of July, the South Korean venue was groing strong among the Top 5 crypto exchanges, only to take a dive on July 5, when its daily volume fell below the $140 million mark. Since the end of last week, Bithumb has been unable to recover.
In June, Finance Magnates reported that Bithumb, one of the largest cryptocurrency exchanges in the world, had been hacked to the tune of 35 billion won. The exchange has since confirmed it will reimburse all customers affected by the hack from its own pocket, according to the South Korean online newspaper JoongAng Daily.
This has been the latest publication from the Finance Magnates Intelligence Department. In today’s business world, Big Data Big Data Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Read this Term analysis and access to objective information sources are crucial to success. Unfortunately, until now, it has been challenging and costly, if possible at all, to find any reliable benchmarks for operations in social, FX, Cryptocurrency, and CFDs trading.
For this reason, the Finance Magnates Intelligence Department has launched a new project, creating a set of analyses covering various aspects of the cryptocurrency trading industry. These will provide you with unique data points gathered by our analysts, that will serve as a valuable knowledge base for your decision making.

Binance’s biggest rival OKEx followed closely behind with a registered cumulative volume of $8.56 billion the same period. However, the current gap between the two biggest trading venues is visibly larger than it was in June when both exchanges achieved similar results.
Compared to June, we have one change in the Top 5. ZB.COM snatched fifth place from HitBTC with a cumulated volume of $2.89 billion. The Chinese exchange came close to Bitfinex, which currently holds the fourth position in the current volume rankings with a result of #3.16 billion in cumulated volume.

A curious development could be observed in regards to Bithumb last week. For the first four days of July, the South Korean venue was groing strong among the Top 5 crypto exchanges, only to take a dive on July 5, when its daily volume fell below the $140 million mark. Since the end of last week, Bithumb has been unable to recover.
In June, Finance Magnates reported that Bithumb, one of the largest cryptocurrency exchanges in the world, had been hacked to the tune of 35 billion won. The exchange has since confirmed it will reimburse all customers affected by the hack from its own pocket, according to the South Korean online newspaper JoongAng Daily.
This has been the latest publication from the Finance Magnates Intelligence Department. In today’s business world, Big Data Big Data Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Read this Term analysis and access to objective information sources are crucial to success. Unfortunately, until now, it has been challenging and costly, if possible at all, to find any reliable benchmarks for operations in social, FX, Cryptocurrency, and CFDs trading.
For this reason, the Finance Magnates Intelligence Department has launched a new project, creating a set of analyses covering various aspects of the cryptocurrency trading industry. These will provide you with unique data points gathered by our analysts, that will serve as a valuable knowledge base for your decision making.