Nasdaq and Digital Reasoning Team Up to Foster NLP-Driven Surveillance

Nasdaq (Nasdaq:NDAQ) and Digital Reasoning, a provider of cognitive computing solutions, have announced a new partnership that fosters an offering of holistic surveillance technology across global capital markets, according to a Nasdaq statement.

The new partnership between the two entities will expand holistic surveillance technology to a multitude of buy-side participants, as well as brokers, regulators, and exchanges. Moreover, Digital Reasoning will lean on its electronic communications (eComms) monitoring, a solution that helps monitor and investigate employee communications via machine learning technology. By extension, Nasdaq will be bringing its own area of specialty to the table, in the form of its SMARTS Surveillance solutions capabilities.

Subsequently, both Nasdaq and Digital Reasoning will help deliver a consolidated approach and single interface of trade surveillance alerts with natural language processing and machine intelligence-based technology. The partnership is influential for many market participants namely as surveillance analysts will be able to Leverage Leverage In financial trading, leverage is a loan supplied by a broker, which facilitates a trader in being able to control a relatively large amount of money with a significantly lesser initial investment. Leverage therefore allows traders to make a much greater return on investment compared to trading without any leverage. Traders seek to make a profit from movements in financial markets, such as stocks and currencies.Trading without any leverage would greatly diminish the potential rewards, so traders need to rely on leverage to make financial trading viable. Generally, the higher the fluctuation of an instrument, the larger the potential leverage offered by brokers. The market which offers the most leverage is undoubtedly the foreign exchange market, since currency fluctuations are relatively tiny. Of course, traders can select their account leverage, which usually varies from 1:50 to 1:200 on most forex brokers, although many brokers now offer up to 1:500 leverage, meaning for every 1 unit of currency deposited by the trader, they can control up to 500 units of that same currency. For example, if a trader was to deposit $1000 into a forex broker offering 500:1 leverage, it would mean the trader could control up to five hundred times their initial outlay, i.e. half a million dollars. Likewise, if an investor using a 1:200 leveraged account, was trading with $2000, it means they would be actually controlling $400,000, i.e. borrowing an additional $398,000 from the broker. Assuming this investment rises to $402,000 and the trader closes their trade, it means they would have achieved a 100% ROI by pocketing $2000. With leverage, the potential for profit is clear to see. Likewise, it also gives rise to the possibility of losing a much greater amount of their capital, because, had the value of the asset turned against the trader, they could have lost their entire investment.FX Regulators Clamp Down on Leverage Offered by BrokersBack in multiple regulators including the United Kingdom’s Financial Conduct Authority (FCA) took material measures to protect retail clients trading rolling spot forex and contracts for difference (CFDs). The measures followed after years of discussion and the result of a study which showed the vast majority of retail brokerage clients were losing money. The regulations stipulated a leverage cap of 1:50 with newer clients being limited to 1:25 leverage. In financial trading, leverage is a loan supplied by a broker, which facilitates a trader in being able to control a relatively large amount of money with a significantly lesser initial investment. Leverage therefore allows traders to make a much greater return on investment compared to trading without any leverage. Traders seek to make a profit from movements in financial markets, such as stocks and currencies.Trading without any leverage would greatly diminish the potential rewards, so traders need to rely on leverage to make financial trading viable. Generally, the higher the fluctuation of an instrument, the larger the potential leverage offered by brokers. The market which offers the most leverage is undoubtedly the foreign exchange market, since currency fluctuations are relatively tiny. Of course, traders can select their account leverage, which usually varies from 1:50 to 1:200 on most forex brokers, although many brokers now offer up to 1:500 leverage, meaning for every 1 unit of currency deposited by the trader, they can control up to 500 units of that same currency. For example, if a trader was to deposit $1000 into a forex broker offering 500:1 leverage, it would mean the trader could control up to five hundred times their initial outlay, i.e. half a million dollars. Likewise, if an investor using a 1:200 leveraged account, was trading with $2000, it means they would be actually controlling $400,000, i.e. borrowing an additional $398,000 from the broker. Assuming this investment rises to $402,000 and the trader closes their trade, it means they would have achieved a 100% ROI by pocketing $2000. With leverage, the potential for profit is clear to see. Likewise, it also gives rise to the possibility of losing a much greater amount of their capital, because, had the value of the asset turned against the trader, they could have lost their entire investment.FX Regulators Clamp Down on Leverage Offered by BrokersBack in multiple regulators including the United Kingdom’s Financial Conduct Authority (FCA) took material measures to protect retail clients trading rolling spot forex and contracts for difference (CFDs). The measures followed after years of discussion and the result of a study which showed the vast majority of retail brokerage clients were losing money. The regulations stipulated a leverage cap of 1:50 with newer clients being limited to 1:25 leverage. Read this Term insights across several communications and trade data mediums, with the ultimate aim of prioritizing areas for evaluation for potential rapid investigations.

According to Valerie Bannert-Thurner, Head of Risk & Surveillance Solutions, Nasdaq, in a recent statement on the strategic partnership: "Digital Reasoning is a true disruptor in the financial technology space.”

“Our partnership with Digital Reasoning will not only enable us to strengthen our current surveillance solution but also allow us to utilize the best capabilities and data sourced from each product to deliver monitoring technology that will allow firms to take a truly holistic approach to surveillance across structured and unstructured data and strengthen their monitoring and detection capabilities," she added.

"The application of machine intelligence to identify inappropriate activity in digital communications greatly boosts positive predictive values over traditional methods, and it brings a radical new technological approach to the field of behavior analysis," added Marten den Haring, Chief Product Officer, Digital Reasoning, in an accompanying statement.

"As an existing user of both vendors, the strategic agreement between Nasdaq and Digital Reasoning presents an exciting development across the UBS market surveillance tool set. By combining existing trade surveillance alerting with communications data, it should quickly and holistically provide the surveillance analyst with specific electronic communications associated with potential market manipulation and/or conduct risk issues," commented Kirsty Everett, Global Head of Monitoring & Oversight at UBS.

Nasdaq made headlines last week after it entered into a definitive agreement to acquire Marketwired, a worldwide provider of news distribution services and 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 in its latest merger and acquisition move.