ENZO Trading System
An Affordable Consumer Solution
We now offer a professional-grade consumer solution for individual customers. ENZO-TSC is a native application that allows anyone to trade with our system. TSC is a proprietary client that connects directly to our private network. Trade signals are generated by our model and sent in real-time to clients. Unlike other consumer solutions, our system is completely automated, only requiring a one-time setup from the user.
For more details, see the ENZO-TSC page.
A Complete System for Corporate Clients
We provide tailor made solutions for more sophisticated needs. The removal of the human component from trading requires not only powerful indicators, but also a supporting structure that allows to build algorithms and strategies that can evolve with time. It's therefore important to have a strong back-end pipeline that deals with data mining and that enables accurate simulation and testing.
Our continuous-build infrastructure periodically gathers market data and utilizes such data for regression testing. Regression testing automatically keeps track of the performance of existing algorithms and allows us to decide if some models should be revised.
We utilize both analytical and machine learning approaches to automatically select the most suited algorithms and their relative parameters for any given market.
The run-time is built in modern C++ from the ground up. C++ allows us to leverage maximum performance where necessary, expanding the range of possible techniques to be used, including the most demanding number crunching approaches, as well as reducing latency in connectivity with the exchanges. All of our calculation-heavy code is multi-threaded and it automatically adapts to utilize the available CPU cores of the hardware it runs on.
Frequently Asked Questions
A simple bot requires the user to periodically analyze the market, choose and configure a strategy that he or she thinks may be a winning one.
Our system instead is the reflection of the strategies that we develop and improve through extensive research and testing. Additionally, we implement machine learning techniques to both create new algorithms and adapt those algorithms in real-time by constantly analyzing the market as it goes.
