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Showing posts from June 24, 2016

Sebi spotlight on BSE, NSE dark fibre the controversy at NSE: Did some brokers get special benefit? Sebi to find out

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The Union finance ministry has asked market regulator Securities and Exchange Board of India (Sebi) to probe the alleged "dark fibre links" between the BSE and the NSE, and has been informed, in turn, that a "preliminary fact finding" exercise is already underway. The BSE and the NSE have also been asked to provide inputs. When asked about the issue, the former declined to comment, and the latter said the allegations were baseless. Business Standard has reviewed the letters sent by the finance ministry to the Sebi over the past few months, along with the internal notes, which were obtained under the Right to Information (RTI). The documents showed that the ministry swung into action after receiving, in November, a whistle-blower account that talked about the "dark fibres" and other issues in high frequency trading (HFT). According to the ministry note sent to the Sebi, "The recent letter from the whistle-blower dated October 3, 2015, ta

Optimal Approach to Algorithmic Trading

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Optimal Approach to Algorithmic Trading The best execution through use of algorithmic tools depends to a large extent on the presence of various critical ingredients, such as: Clear understanding of portfolio management strategies and objectives Robust pre-trade models Balancing timing and impact cost issues Effective intelligent integration of OMS and direct market access trading platforms Close, iterative relationships with algorithmic trading providers Thorough post-trade analysis and feedback  All these critical requirements make the design of the algorithmic platform a Big challenge requiring the following attributes: Adaptable: Providing high speed transmission of market data and transaction messages to other applications and users Offering a vendor independent platform that is able to accept and distribute data from any market data vendor Having pre-integrated security and monitoring for both compliance and cost effective operations Streaml

Trading Algorithms: Areas of Concern

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Trading Algorithms: Areas of Concern Lack of Visibility We know what a specific algorithm is supposed to do, measure its pre-trade analytics and see how the post-trade results match up to that expectation. But if the trader didn’t select the most optimal algorithm for that trade little can be done. This problem is caused by a lack of visibility and transparency into the algorithm while it is executing orders. Algorithms Acting on Other Algorithms If fund managers trading pattern is spotted and regular; tracked with the use of algorithms, then these algorithms are liable to be ‘reverse engineered’. This implies that their buy and sell orders are pre-empted and used to the maximum effect by their competitors. Here, algorithms are acting on other algorithms. Which Algorithm to Use for Trading? With brokers offering many algorithmic strategies , one concern is that buy-side institutions lack the tools to understand which algorithm to use for a particular stock. The lack of a

Algorithmic Trading Trends in Stock Markets Today

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Algorithmic Trading Trends in Stock Markets Algorithms have sparked a fundamental change in everything an exciting era of opportunity for those who innovate. It is difficult to explain precisely all the concepts of a lgorithmic landscape . But some broad trends are referred in this post. In the coming years, the evolution of the algorithmic landscape will result in firms re-evaluating and evolving their views, trading strategy, asset-class mix, the relationship between buy-side and sell-side, the very composition and skills of the people they employ and information technology. Customized Algorithms The buy-side until now predominantly access algorithms pre-built by sell-side brokers. Buy-side players are gradually moving away from “commoditized” algorithms in order to capture their own intellectual property in customized algorithms. Algorithms Migrating to Currencies The use of algorithms in multiple asset classes will continue to increase. There are strong indications to d

Algorithmic Trading Life Cycle of Algo Components for Development

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Algorithmic Trading Life Cycle of  Algo Components Algorithms are used extensively in various stages of the trading cycle. we can classify them into pre-trade analytics, execution stage, and post-trade analytics. The Pre-trade analytics involve thorough analysis of historical data and current price and volume data to help clients determine where to send orders and when; whether to use algorithms or trade an order manually we can call this as back testing the algorithm etc.,. The pre-trade analysis is designed to help buy-side traders understand and minimize market impact by choosing the level of aggressiveness and a time horizon for trading various stocks. Traders can select varying levels of aggressiveness and visualize them against the time horizon for completing the trade. Most compare the spread between bid and ask prices, reference that against the volatility of a given stock, and attempt to create a range of potential outcomes. A lot of the broker-sponsored algorithmic trad

Developing Algorithms for Trading

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 Algorithms for Trading In Present market Traders uses various kinds of algorithms according to there strategy the most Popular Algorithms in practice which is most commonly used algorithms in the market place are: volume weighted average price (VWAP), time weighted average price (TWAP), arrival price,  market-on-close (MOC), and implementation shortfall and the difference between the share-weighted average execution price and the mid-quote at the point of first entry for market or discretionary orders. Arrival price is the midpoint of the bid-offer spread at order-receipt time, and it also notes the speed of the execution. VWAP is calculated by adding the Points traded for every transaction in terms of price and multiplying that by shares traded, and then dividing that by the total shares traded for the day. MOC measures the last price obtained by a trader at the end of the day against the last price reported by the exchange. Implementation shortfall is a model that weighs the u

What is Algorithmic Trading?

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Algorithmic Trading In Trading World algorithms have become very common feature which every broker trying to offer their clients demand. we can call it as mathematical models that analyze every quote and trade in the stock market and identify liquidity opportunities and turn the information into intelligent trading decisions.Algorithmic trading, or computer-directed trading, cuts down transaction costs, and allows investment managers to take control of their own trading processes. It is a style of trading and not a separate business. In Future the rise in use of algorithms has on the trading environment, fund managers, and buy-side traders, as well as on integration issues, build or not to build. The paper also discusses the emerging algorithmic trading trends. Algorithm innovation continues to offer returns for firms with the scale to absorb the costs and to reap the benefits. In this competitive technology and cost effective world, the fund managers and buy-side traders