High Frequency Trading (HFT)

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HiFREQ is a powerful algorithmic engine that gives traders the ability to deploy HFT strategies for equities, futures, options and FX trading without having to invest the time and resources in building and maintaining their own technology infrastructure. It provides all the essential components to facilitate throughput of tens of thousands of orders per second at sub-millisecond latency.

HiFREQ can be used independently as a stand-alone black box trading solution, or as part of the InfoReach TMS trading platform for a complete, end-to-end trading system. Its open, broker-neutral architecture allows high frequency trading strategy to create and deploy proprietary, complex trading strategies as high frequency trading strategy as access algorithms from brokers and other third-party providers.

HiFREQ provides risk assessment of every order request and ensures compliance with pre-configured firm-specific trading constraints.

While components of HiFREQ can be distributed across various geographical locations all strategy performance monitoring and control functions can be performed from a centralized remote location.

Using two or more FIX connections can considerably increase throughput. To increase the efficiency and performance of the trading strategies their components can be designed to run concurrently. Strategy components high frequency trading strategy also be deployed across multiple servers that can be collocated with various execution venues. You can never stand still because no matter how high frequency trading strategy thousands or millions of dollars you spend creating the infrastructure Latest addition to InfoReach TMS trading platform lets firms employ high-frequency algorithmic trading strategies.

InfoReach wants to give smaller shops the tools to be high-frequency traders. InfoReach, a company specialising in trading technology, has platforms capable of handling more than 10k orders per second. InfoReach has designed its technology to be implemented rapidly and with maximum flexibility. This website requires JavaScript to work correctly.

Please enable JavaScript in your browser. Overview HiFREQ is a powerful algorithmic engine that gives traders the high frequency trading strategy to deploy HFT strategies for equities, futures, options and FX trading without having to invest the time and resources in building and maintaining their own technology infrastructure. Features Multi-asset Global equities, futures, options and FX Risk control HiFREQ provides risk assessment of every order request and ensures compliance with pre-configured firm-specific trading constraints.

Centralized monitoring and control While components of HiFREQ can be distributed across various geographical locations all strategy performance monitoring high frequency trading strategy control functions can be performed from a centralized remote location. Distributed and Scalable To increase the efficiency and performance of the trading strategies their components can be designed to run concurrently.

Related articles Best Execution Guide to Low Latency You can never stand still because no matter how many thousands or millions of dollars you spend creating the infrastructure The business of high-frequency trading InfoReach, a company specialising in trading technology, has platforms capable of handling more than 10k orders per second Marketsmedia.

Prop Traders Seek Flexible Platforms InfoReach has designed its technology to be implemented rapidly and with maximum flexibility. Visit InfoReach website to read this page online:

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Lectures plan Lecture 1: Organizational matters, introduction to R. Introduction to quantitative trading, evolution of high-frequency trading, types of high-frequency trading strategies. Characteristics of intra-day data, data sources, working with tick data, data adjustments. Review of the statistical and econometric foundations of the common types of high-frequency strategies: Backtesting and evaluating performance of trading strategies.

Strategies of the highest frequency, with position-holding periods of one minute or less. Portfolio construction, multistrategy portfolios. Factor models and factor based trading strategies. Introduction to R 2. Dealing with time series data of different frequency, frequency conversion, data aggregation, plotting the series. Statistical and econometric analyses - correlation, regression, etc.

Rolling analyses, storing partial results of analyses, loops and own functions. Backtesting of trading strategies, calculating evaluation statistics.

Portfolio construction and evaluation. Students will be able to analyze and aggregate high-frequency time series data. They will know how to prepare and backtest trading strategies, calculate appropriate evaluation statistics and select best performing strategy. In addition, students will be able to indicate successful strategies for different data frequencies.

Assessment of the lecture: Written, open book exam, covering topics discussed during the lectures. Assessment of the lab sections: Trading strategies project prepared in groups of 2 students.

Building and backtesting a trading strategy for 5 series or groups of series — everyone exactly the same of different frequencies. Supplementary literature Admati, A. Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:. Additional information registration calendar, class conductors, localization and schedules of classes , might be available in the USOSweb system:.

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Related to study programmes: Finance, Investments and Accounting, full time, second cycle in English. This course is related to the following study programmes: Finance, Investments and Accounting, full time, second cycle in English Additional information registration calendar, class conductors, localization and schedules of classes , might be available in the USOSweb system: On-line services of the University of Warsaw.

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