Coin-Craft provides trading Technologies processes and toolsets within the software development lifecycle to assure that newly developed algorithmic trading tools
Coin-craft has been an asset to companies and institutions who awareness on automated trading strategies and quantitative data analysis. we are a developer of automated trading and returned-testing software and assist our client sin the building and implementation of alpha, risk, transaction cost and portfolio models.
We are experienced in designing custom frameworks and systems for massive volume high frequency trading statistics logging. In strategies that use information mining for building information driven algo models, intraday and end-of-day data availability high-quality is critical. massive volumes of trades should cause delays of historical data series delivered with the aid of exchanges. This regularly results in losing days of algo trading.
We have the knowledge and experience in building historical tick facts, storing it in an optimized/compact format. speedy and reliable access to historical facts series is another critical aspect for quantitative data mining. the speed of get admission to facts frequently defines how an awful lot records one could mine and excellent of output results: the more sample records is mined the better the out-of-pattern method conduct could be.
Our team additionally helps with building powerful lower back-testing systems which allow for executing and playing returned in and out sample tests on your algo strategies in milliseconds.
All algorithmic trading applications execute at the our trading Servers, a excessive-performance, enterprise-class engines which runs queries, computations and custom analytics on rapid-moving market information streams. Our systems can also detect patterns of trading activity and triggers an instantaneous response with millisecond latency, intelligently routing orders to an appropriate venue to optimize charge, response time, transaction fees and other attributes.
The use of our experience and knowledge of algo trading and information mining, firms can track critical market conditions across multiple markets and instantaneously execute state-of-the art strategies to capture short lived trading opportunities.
Coin-craft has a formalized software program development, testing and deployment procedure. The product development team consists of product managers, project managers and software engineers. within the software engineering institution at trading technologies, there is a dedicated software quality Engineering (sq.) team which is focused entirely on the testing of all TT software.
Requirements set forth in MiFID II inform the execution of trading technologies’s software program development lifecycle within the development of new algorithmic trading tools, the enhancement and repair of existing trading tools in addition to oversight of their operation. in particular, trading technologies’s development system includes record keeping, authorization and oversight in manner consistent with MiFID II requirements and subjects all proposed new features and enhancements to a rigorous testing manner at some stage in development and monitors the operation of the development following deployment.