Humans create, machines work.
Custom AI Product Development
We help SMBs and startups to achieve goals with the power of data science and artificial intelligence.
Automated trading systems
Our clients have invested in multiple trading strategies with Sharpe Ratio over 2.0 in both traditional and cryptocurrency markets. Strategies were developed with the use of state of the art machine learning algorithms, NLP and market insights. Using portfolio optimization enabled our algorithms to be profitable in both bullish and bearish high volatile markets.
Our team has identified more than 200 technical, commercial and market risk sources in the cryptocurrency market and developed risk management strategy which allowed us to minimize losses in market force-majeurs.
It includes such software as real-time risk management system, monitoring system, algorithms administration system, data mining
system and "market sandbox".
Python / C++ / C# / Machine Learning / Time Series Analysis / Mathematical Modelling / MongoDB / AWS / Azure / Docker / CI/CD / REST / Websockets
Let's move to your product.
AI for portfolio management: from Markowitz to Reinforcement Learning
Artificial intelligence, machine learning, big data, and other buzzwords are disrupting decision making in almost any area of finance. On the back office, machine learning is widely applied to spot anomalies in execution logs, for risk management and fraudulent transaction detection. At the front office, AI is used for customer segmentation and support and pricing the derivatives.
«ut of course, the most interesting applications of AI in finance are in the buy-side and are related to searching the predictive signal ...
Artificial intelligence, machine learning, big data, and other buzzwords are disrupting decision making in almost any area of finance...
In a series of articles I was applying a very straightforward approach to forecast financial time series: take the whole dataset, using…
Can you position yourself to snag better returns simply by owning stocks on Fridays? How about month's end? Or around holidays, when investors...