What is ENZO?

ENZO Algorithmic Trading (PDF)
ENZO is a fully-autonomous trading system built specifically for cryptocurrencies. It uses novel algorithms that are built with and operated by Machine Learning techniques.

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 Machine Learning techniques both while developing a reference algorithm to simplify the selection of fundamental indicators and relative parameters, and at run-time, where the bot constantly runs several internal simulations of many possible outcomes and selects the best performers based on continuously runs simulations of many possible strategies and selects the one that is best suited for the current market.

Our run-time is built in C++ from the ground up. This, added to our experience with high-performance applications, means that we can have the best performance possible both in terms of connectivity and in terms of number crunching to be performed in real-time.

Frequently Asked Questions

What kind of profits do you estimate?
From internal simulations of BTC/USD pair we see potential profits ranging from 3% to 15% per month. However, more work is necessary to have more reliable estimates and to build more robust models that better react to future markets.
What's special about your system?
There is no one definite solution in quantitative trading, this is our specific effort in the field. Depending on the market of the day, other systems may perform better or worse. Profit is a constantly moving target, requiring active R&D to research new techniques and develop software and necessary tools.
What about other commercial and free bots for crypto?
Popular existing bots available for cryptocurrency are more like an execution tool to assist a human trader.
A simple bot requires the user to periodically analyze the market and choose and configure a strategy and 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.
How can I be involved?
This project was created for our own private use. At this stage however we're willing to license out the system as a way to help funding the development. If you would like to license the system, please get in touch with us. Early adopters will receive major discounts. Number of licenses will also be limited for practical reasons.
Can't you simply trade on my behalf?
We're currently considering a few options on how to make this possible. If you're interested, please contact us.

The Team

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Davide Pasca


Run-time and quantitative modeling.

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Marco Azimonti


Back-end, blockchain, security and quantitative modeling.