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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...

Introduction of High Frequency Trading HFT in India.. Explains about how High Frequency trading works, and co location and some of the HFT strategies

Algorithmic Trading Introduction

How to use Create Scripted Alerts in Zerodha Pi with accuracy

How to Backtest stratagy in Zerodha Pi effectiently

How to use Scanner in Zerodha Pi Efficiently with more list of stocks

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FREE How to get Free Intraday one minute data of all segments from Zerodha Pi

Check The below Amibroker AFL  of Sample trading system with Pi bridge for Zerodha Pi Order Firing _SECTION_BEGIN("Chart Settings"); SetChartOptions(0,chartShowArrows|chartShowDates); SetChartBkColor(colorBlack); SetChartBkGradientFill( colorBlack,colorBlack); GfxSelectFont( "Cambria", 11, 400, False ); GfxSetTextColor( colorYellow ); GfxSetBkMode(0); ChartStyle = ParamList("Select Chart Style","Candle|Line|Dot",0); Plot( C, "Close", colorDefault, IIf(ChartStyle=="Candle",styleCandle,IIf(ChartStyle=="Line",styleLine,IIf(ChartStyle=="Dot",styleDots|styleNoLine,styleCandle))) ); pxw = Status("pxwidth"); pxh = Status("pxheight"); _SECTION_END(); _SECTION_BEGIN("Basic Variables"); Buy=Sell=Short=Cover=0; BuySLP=ShortSLP=0; BuyP=SellP=ShortP=CoverP=0; BuyTgtP=ShortTgtP=0; BarB = BeginValue(BarIndex()); BarE = EndValue(BarIndex()); BarC = BarIndex(); BarL = LastValue(BarC,1); B...

One of the cool feature of Zerodha Pi unaware and ignored by most of traders As all traders knew markets moves on news. market information is very important for a trader to keep track of his Trading. Zerodha Pi has one of the very cool feature, but i think most of the traders are not utilizing it and ignored as they are unaware of it. If you have used Zerodha Pi you might have familiar with this menu bar as shown in below screenshot image. The News Reader in zerodha Pi works based on RSS feeds, which is very cool feature and an opportunity to get real time market news. you might have got this Question..! What is RSS? RSS (Rich Site Summary) is a format for delivering regularly changing web content. Many news-related sites, weblogs and other online publishers syndicate their content as an RSS Feed to whoever wants it. Why RSS? Benefits and Reasons for using RSS? RSS solves a problem for people who regularly use the web. It allows you to easily stay informed by retr...

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 Strea...

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 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 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 t...

 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 wei...

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...