Bridging the Regulatory Gap: Regulatory Oversight on Third Party Algorithm Trading Strategy Providers
[By Gagireddy Vyshnavi Reddy] The author is a student of Tamil Nadu National Law University. Part-1 With the advancement of technology, the incorporation of algorithm strategies into the trading of securities has emerged and has been growing at an exponential rate since then. The provision of algorithm strategies for the purpose of trading securities can be sought in two ways, where one of them is by the provision of such strategies by the stock brokers themselves, however, another way is through the third party algorithm strategy providers, where the stock brokers outsource the services of the third party algorithm strategy providers. SEBI in its Consultation Paper on Algorithm Trading by Retail Investors, 2021 has stated that the services provided by such third party algorithm strategy providers cannot be categorized as either investment advisor or a research analyst and thereby such third party service providers are not recognized. This article focuses on how there is mis-regulation of such third party algorithm strategy providers, and how their services cannot be interpreted as investment advisors but can be categorized as research analysts henceforth eliminating the unnecessary burden placed on the stock brokers in gaining permission for each and every algorithm strategy employed from the third party algorithm strategy provider by not recognizing the third party algorithm strategy providers under a regulatory framework. INTRODUCTION Algorithmic Trading has been used very widely in India from the past few years. According to report from the National Institute of Financial Management submitted to the Department of Economic Affairs indicates that over 50% of total orders at both the National Stock Exchange and Bombay Stock Exchange are algorithmic trades on the client side, while over 40% are trades on the prop side. Algorithmic Trading refers to an automated execution of logic that generates a buy or sell order of the securities in the securities market. It enables the investor in trading the securities when there is an appropriate market situation that enables the investor in gaining profits. This would not require the interference by the investor in analyzing and keeping a track on the market conditions in order to trade the securities. The rise of algorithmic trading in India can be traced back to SEBI’s Circular on Introduction of Direct Market Facility in 2008 (2008 Guidelines) allowing institutional investors to use the direct market access (DMA) facility, which allowed brokers to offer their clients direct access to the exchange trading system without any manual intervention. Later, SEBI released the “The Broad Guidelines on Algorithmic Trading” (2012 Guidelines) and these 2012 Guidelines provide for seeking mandatory approval by the stock brokers from the stock exchanges for providing the service of algorithm trading to the investors. It also provides various other compliance for the stock brokers and the stock exchanges to be followed in order to enable the investors with the facility of algorithm trading by providing algorithm strategies. Further, SEBI has also released the Consultation Paper on Algorithmic Trading by Retail Investors (Consultation Paper) in 2021, wherein, it stated that there would be no recognition given by SEBI to the third-party algorithm strategy providers (ASPs) creating such algorithms and has instead placed multiple reporting requirements on the stock brokers in order to regulate such third party ASPs. It also mentioned in Consultation Paper, how it is unclear as to the categorization of the services provided by these third party ASPs as either investment adviser or research analyst and thereby concluded to not grant a recognition for such third party ASPs. This article deals with the above mentioned aspect of the Consultation Paper, how the third part of how the third party ASPs are mis-regulated by first establishing that the third party ASPs do not come under the current Investment Advisor Regulations and later establishing that such third party ASPs can be interpreted under the Research Analyst Regulations. It concludes with the suggestion that instead of placing extra burden on the stock brokers for obtaining permission for every algorithm employed from the third party ASPs by eliminating the third party ASPs from the regulatory framework, SEBI can regulate these third party ASPs as under the Research Analyst Regulations, 2014. REGULATORY OVERSIGHT ON THIRD PARTY ALGORITHM TRADING STRATEGY PROVIDERS An Algorithm Trading Strategy is a logic employed by the investor to execute orders in the securities market. These include using a defined set of logic and instructions in the form of algos to generate trading signals and placing orders as mentioned in the Para 2.1 of the Consultation Paper. These orders would emanate with minimal human interference by placing them as and when the required criteria of the investor is met. This is done by constant analysis and monitoring of the stock market and employing the provided logic to understand if an order can be placed for such investor. These algorithm trading strategies are majorly of two types, the first generation algorithm trading strategies and the second generation algorithm trading strategies. First generation strategies are those which consists of human-defined, rules-based strategies that are transformed into computer code and then executed through sophisticated technological infrastructures that connect firms to markets. Whereas, the second generation strategies consists of the machine learning approach wherein machine learning system in itself creates the strategy basing on the objective function of the investor and creates trading rules which are automatically implemented into the market in the form of orders to buy or sell the securities of such investor. This blog deals with only the first generation algorithm trading strategies and does not concern about the second generation algorithm trading strategies. The usage of the first generation algorithm trading strategy can be predominantly provided in two ways (Algorithm Strategies). While stock brokers offer algorithm strategies to the investors in-house, at the same time, the brokers can outsource the services of the third-party ASPs. These strategies would be thereafter offered to the investors by the stock brokers. In the second scenario, it is important to understand the regulatory framework of such third-party ASPs. As mentioned earlier,









