In a hypercompetitive world where traders invest in a stock market in a different time zone as a market in their timezone closes for the day, algorithmic trading makes this job comparatively easy for them. Algorithmic trading can be defined as “placing a buy or sell order of a defined quantity into a quantitative model that automatically generates the timing of orders and the size of orders based on goals specified by the parameters and constraints of the algorithm.

Algorithmic trading is the systematic investing that is done in global stock and financial markets, without the handicap of human error or emotion. It is done on the basis of certain rules that are determined by price, quantity and the time of a buy/ sell decision which is computed on the basis of a statistical model and/ or historical data. This allows investors to follow a strict, safe and a well defined strategy which ensures that they always book profits.

Algorithmic trading allows investors to book profits at extremely high speeds. A lot of people hesitate or are greedy while taking major decisions, which may result in them buying stocks at the wrong price. Algo trading allows investors to avoid all this as they will be following a set strategy which minimizes human error.

BSE Institute Ltd (BIL) is a 100% subsidiary of the Bombay Stock Exchange Ltd (BSE) offers a variety of courses related to Financial Markets and the BFSI sector. Through BIL, BSE aims to promote learning and development in the field of Banking, Financial Services and Insurance (BFSI). It aims to be the platform of choice for working executives, the industry and students to gain the appropriate knowledge and skills for them to identify market opportunities and grow.

BIL offers a 2 day course on Algorithmic Quantitative Trading which aims to teach Traders, Investors, Brokers, Sub-brokers, Dealers, Fund Managers, Corporate Executives, Financial Intermediaries, Journalists and any other working professionals and student.

The course is designed to teach participants about Building blocks of the algorithms, What, why, how, where off AT, Introduction to agency and prop side algorithms, Agency algo Trend following, High frequency etc, Introduction to DMA, DSA, dark-pool, flash trading, Mathematical elements of AT (std, correl analysis), Spread, volume curve and volatility introduction, Mean reversion and momentum introduction,Hands on training on designing a VWAP algorithm on Excel, Hands on training on designing an automated pair-trading algorithm on Excel, Lifecycle in development of AT, Hands on in back-testing and Monte Carlo simulation, Alpha generation: hands on using regression in Excel, Stress-test and simulated trading, Algorithm deployment and execution: CTCL, DMA, FIX etc, Connectivity to liquidity pools: Exchanges, ECN, inter-dealer broker, market share and turnover using AT in next 3-5 years – India and globally and many more.

Participants completing the course will be able to take up a leadership roles in any Algorithmic Trading division of a bank or a financial institution. This training is imparted by some of the finest faculty which is placed at senior positions in the industry. Participants learn from both the rich practical experience of the faculty. BIL has its own training lab that allows participants to conduct mock trades at real time prices. BIL provides an ideal platform for gaining new insights in order to be successful.

This course will be completed in 2 days. The course shall be held at the BSE Institute Limited on the 18th floor on 27th & the 28th of May from 10 in the morning to 5:30 in the evening. Participants will be awarded a participation certificate. Interested parties can click here for more info.

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