algorithmicpath can be seamlessly integrated with traderpath or any third-party trading platform. Through a user-friendly and intuitive interface market operators can design, test, validate and maintain their own models for trading, pricing, quoting and hedging via a standard language and release them into the production environment. Other than backtesting, based on playback of recorded market data, algorithmicpath leverages the exchangepath matching engine so that users can test algorithms with live data feeds from real markets and execute trading operations in fake markets, which continuously mirror the corresponding markets.

algorithmicpath can also process high volumes of fast-moving market data from multiple sources and take action in the markets to decide, monitor and analyze a firm’s MiFID best execution compliance policy, whilst meeting all reporting, data and trade history obligations.

The core of the algorithmicpath architecture is a high-performance blackboard, i.e. a distributed cache for low-latency market data and shared internal information produced by any strategy. Once a new or updated data item has been written onto the local blackboard and propagated to remote nodes, events will be fired, which will trigger the execution of related actions.

algorithmicpath provides market operators with an interactive tool to create/modify strategies, monitor their execution and tune parameters quickly when market conditions change, giving utmost flexibility and control to end-users.

algorithmicpath comes complete with a toolkit of pre-defined open strategies, which end-users can modify and extend other than designing and implementing new strategies in critical areas such as:

• pre/post trade activities for "execution policy" compliance
  • discovering liquidity and routing orders to trading venues
  • executing and validating execution results
  • evaluating transaction costs
• arbitrage, spread trading, pricing and hedging
• market making across different markets