CQG, a provider of technology for integrating market data, technical analysis and trade routing, has joined FIA Tech’s Databank Network, becoming the first independent software vendor (ISV) to do so.

CQG and Fia Tech disclosed this on Thursday in a statement shared with Finance Magnates.

The Databank Network is FIA Tech’s initiative to bring together ISVs, exchanges,  clearing  Clearing Clearing is a general term that simply means many different things depending on the subject and related industry. Most commonly, this refers to the reciprocal exchange between banks of checks and drafts, and the settlement of the differences, or the total of claims settled at a clearinghouse. In finance and banking, the word clearing has different meanings depending on the more specific business model. Moving checks from the bank where they were deposited to the bank on which they were drawn. This gives credit to the bank where funds are deposited and a corresponding debit to the account of the paying institution. The Federal Reserve operates a nationwide check-clearing system. Clearing also is used to signify matching buyers and sellers in stock, futures, and options transactions. Understanding ClearingToday, any type of payment can be cleared. A credit card payment is cleared through the payment merchant. It can be said that clearing is the settlement of balances and transactions. There is also an act of cleaning contracts and risk through A clearinghouse, like CME Clearing, which is an intermediary between buyers and sellers in the derivatives market. As the intermediary or counterparty, to every trade, CME Clearing acts as the buyer for every seller and the seller for every buyer for every transaction on an exchange. Stocks are cleared through global stock exchanges similar to the New York Stock Exchange (NYSE). The clearing is the process of updating the accounts of the trading parties and arranging for the transfer of money and securities. Clearing is a general term that simply means many different things depending on the subject and related industry. Most commonly, this refers to the reciprocal exchange between banks of checks and drafts, and the settlement of the differences, or the total of claims settled at a clearinghouse. In finance and banking, the word clearing has different meanings depending on the more specific business model. Moving checks from the bank where they were deposited to the bank on which they were drawn. This gives credit to the bank where funds are deposited and a corresponding debit to the account of the paying institution. The Federal Reserve operates a nationwide check-clearing system. Clearing also is used to signify matching buyers and sellers in stock, futures, and options transactions. Understanding ClearingToday, any type of payment can be cleared. A credit card payment is cleared through the payment merchant. It can be said that clearing is the settlement of balances and transactions. There is also an act of cleaning contracts and risk through A clearinghouse, like CME Clearing, which is an intermediary between buyers and sellers in the derivatives market. As the intermediary or counterparty, to every trade, CME Clearing acts as the buyer for every seller and the seller for every buyer for every transaction on an exchange. Stocks are cleared through global stock exchanges similar to the New York Stock Exchange (NYSE). The clearing is the process of updating the accounts of the trading parties and arranging for the transfer of money and securities. Read this Term houses and other data providers “into an interoperable global network simplifying the use of reference data,  analytics  Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Read this Term and software solutions from participating firms.”

The companies said the network serves to unify reference data from over 80 global exchanges and central counterparties, leading index providers such as the Financial Times Stock Exchange and Morgan Stanley Capital International, as well as data vendors, such as EDI and Factset.

FIA Tech said it will incorporate CQG’s symbology into its global product reference data maintained on the Databank Network.

As a result, the company explained, CQG platforms will be “fully interoperable with all FIA Tech services as well as other future ISV participants in the Databank Network.”

In his reaction to the development, Andrew Castello, the Head of Reference Data at FIA Tech, noted that the partnership is a further example of the company’s commitment to support the ISV community to further its mission to bringing innovation to the derivatives industry.

“We are thrilled that CQG is joining Databank Network and CQG customers will have ready access to the industry services FIA Tech provides,” Castello said.

Pat Kenny, the Senior Vice President of Client Relations at CQG, expressed delight at the company’s emergence as the first ISV to join the network.

“We’re pleased to be part of this industry-wide, global solution to streamline information for market participants and appreciate FIA Tech’s leadership on this effort,” Kenny added.

What Does FIA Tech Do?

FIA Tech is a technology provider that collaborates with the global futures industry to improve operational efficiency via integrated, cloud-based systems.

The company is owned by a consortium of 10 clearing firms and the Futures Industry Association, a trade association in the United States composed of futures commission merchants.

FIA Tech provides key services and processes, including managing legal agreements, settling brokerage, meeting compliance requirements and automating reconciliation.

Furthermore, the company works in close partnership with the broader industry, including exchanges, clearinghouses, clearing firms and other intermediaries, independent software vendors, buy-side firms and end users to bring efficiency to the exchange-traded and cleared derivatives industry.