A leading German marketplace organizer, Deutsche Börse announced the expansion of its  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 offerings today through HHI Insights, a new offering based on proprietary information from Xetra and Eurex trading platforms.

According to an official announcement shared by the marketplace organizer, Deutsche Börse has expanded its analytics offering to facilitate investment decisions from the buy- and  Sell-Side  Sell-Side Those in the financial industry involved with the production, marketing, and the sale of bonds, forex, stocks, and other financial instruments constitute the sell-side.Products and services produced by the sell-side are geared towards those who on the buy-side. You can think of the sell-side and buy-side like a coin, you cannot have one side without the other. The sell-side is comprised of individuals, firms, fintech companies, and market makers, who are responsible for providing liquidity in the market.Providing analysis and market insight for the buy-side, the sell-side attempts to secure the highest price rates for every financial instrument supported while any entity that purchases stock resides within the buy-side. What Makes Up the Sell-Side?In the foreign exchange market, multinational banks like JP Morgan, UBS, and Citibank compose the sell-side while the trading rooms for these banks are segmented into two groups. The first group is made up of interbank traders who purchase or sell large currency sums of currency on the forward and spot markets.Conversely, the second group is comprised of marketers who sell securities to clients on the buy-side, such as mutual and hedge funds and large businesses. In the stock market sell-side, investment banks sell stocks to both institutional and retail investors, take trading positions, and underwrite stock issuance.This means that they raise investment capital in the form of both equity and capital debt for entities who issue securities. Initial public offerings (IPOs) are one of the most anticipated events for the sell-side of the stock market. Th bond market sell-side has been pretty much monopolized by investment banks such as Goldman Sachs and Morgan Stanley. Banks that underwrite and service bond issues is a joint commercial single holding company of both Bank of America Merrill Lynch and JP Morgan Chase, who also are the primary dealer of U.S. Treasury Bonds while these banks are quite active with the purchasing and trading of the bond market. Those in the financial industry involved with the production, marketing, and the sale of bonds, forex, stocks, and other financial instruments constitute the sell-side.Products and services produced by the sell-side are geared towards those who on the buy-side. You can think of the sell-side and buy-side like a coin, you cannot have one side without the other. The sell-side is comprised of individuals, firms, fintech companies, and market makers, who are responsible for providing liquidity in the market.Providing analysis and market insight for the buy-side, the sell-side attempts to secure the highest price rates for every financial instrument supported while any entity that purchases stock resides within the buy-side. What Makes Up the Sell-Side?In the foreign exchange market, multinational banks like JP Morgan, UBS, and Citibank compose the sell-side while the trading rooms for these banks are segmented into two groups. The first group is made up of interbank traders who purchase or sell large currency sums of currency on the forward and spot markets.Conversely, the second group is comprised of marketers who sell securities to clients on the buy-side, such as mutual and hedge funds and large businesses. In the stock market sell-side, investment banks sell stocks to both institutional and retail investors, take trading positions, and underwrite stock issuance.This means that they raise investment capital in the form of both equity and capital debt for entities who issue securities. Initial public offerings (IPOs) are one of the most anticipated events for the sell-side of the stock market. Th bond market sell-side has been pretty much monopolized by investment banks such as Goldman Sachs and Morgan Stanley. Banks that underwrite and service bond issues is a joint commercial single holding company of both Bank of America Merrill Lynch and JP Morgan Chase, who also are the primary dealer of U.S. Treasury Bonds while these banks are quite active with the purchasing and trading of the bond market. Read this Term clients. Based on the Herfindahl Hirschman Index (HHI), the new offering gives additional information to support clients in decision-making.

The recent introduction of HHI Insights is part of the ongoing expansion of Deutsche Börse’s analytics offering. The latest launch from the German organizer came nearly 1 year after the launch of its online analytics platform A7.

“The demand for actionable market data insights is increasing. To meet this development, we are constantly expanding our analytics offering, with HHI Insights being the latest addition to our portfolio. The product enables market participants on the buy- and sell-sides to examine the degree of concentration in a specific market on different levels, thus supporting them in their investment decisions,” Alireza Dorfard, Head of Market Data + Services at Deutsche Börse, commented.

In July 2021, Deutsche Börse published its financial results for Q2 of 2021. The Group saw a strong jump in net revenues. For H1 of 2021, Deutsche Börse posted a substantial jump in demand for Xetra-Gold.

Analytics Offering

In the recent press release, Deutsche Börse outlined the importance of comprehensive analytics offering to support clients in decision making. “In July 2020, Deutsche Börse launched its online analytics platform A7, which provides market participants with nanosecond-level market data and offers insights into market dynamics and microstructures. In addition, Deutsche Börse offers Eurex Flow Insights and Xetra Flow Insights, data products that provide insights into market sentiment based on an analysis of order flow by market participant group. The offering is complemented by High Precision Timestamps (HPT), a product for calculating time deltas,” the Group mentioned.