This is the motto of Euklid, the fintech startup which aims to disrupt the investment banking arena leveraging the potential of the blockchain and artificial intelligence. Thanks to a sound technical background of its Rome, Italy-based team led by CEO & Algo-Trader Antonio Simeone, Algo-Trader Franco Grassi, CTO Francesco Di Leva and lead programmer Mario Giancola, Euklid is pioonering a platform that allows people to make investments based on sophisticated algos, which analyze financial markets with no human analysis. In details, the technology combines elements of bio-computing, soft computing and evolutionary computation to offer a Long-Short Equity Fund, which aims to outperform the market while maintaining a low level of risk thanks to a diversified portfolio including over 70 among the most liquid assets between indexes and stocks. It also performs algo-trading on cryptoassets including Bitcoin and Ethereum. Simeone told me that indexes and stocks have seen a 10% increase yoy (max drawdown 1.5%) while Bitcoin have seen a massive growth (109% yoy).

Are we looking for an algorithm that "If we all die, it would keep trading"? Should we be worried that electronic trading is mushrooming like airplane traffic, while we are not paying that much attention? Today, I'll look for AI pigments of incremental changes in algorithmic trading, first on Wall Street and then outside, in the Fintech startup world. I am not including the HFT space because it is a particular space driven by speed and merits a separate post because of its politically sensitive angle (Michael Lewis's babe). Renaissance Tech and Two Sigma, are probably the most recognizable names in old fashioned quant trading space.