We develop short-term algorithmic strategies aimed at extracting maximum profit from market fluctuations within a few minutes, hours or days. These strategies are based on advanced technical analysis techniques such as moving averages (SMA, EMA), relative strength indicators (RSI), stochastic oscillator and moving average convergence-divergence indicators (MACD). We also apply machine learning algorithms, including multilayer perceptrons, recurrent neural networks (RNN), long-term short-term memory (LSTM) and support vector machines (SVM). The use of high-frequency trading (HFT) and Order Flow Analysis allows us to make fast and accurate trading decisions.

Our medium-term algorithmic strategies are designed to hold positions from several weeks to several months. These strategies combine elements of fundamental and technical analysis, including multifactor models, autocorrelation and regression analyses, as well as Elliott wave analysis and Fibonacci analysis. We use sophisticated statistical models such as autoregression models and Integrated Moving Average Models (ARIMA), GARCH models (Generalized Autoregressive Conditional Heteroskedasticity), and time series prediction methods to achieve the best results. Bayesian optimization algorithms, genetic algorithms and Particle Swarm Optimization methods are used to optimize the portfolio.

The long-term algorithmic strategies developed by our company are aimed at sustainable capital growth over several years. These strategies are based on in-depth research of macroeconomic factors, global trends and corporate reports. We use machine learning models such as gradient boosting, random forests, principal Component Analysis (PCA), and deep learning using convolutional neural networks (CNN) to analyze data. To manage risks, we use methods of stochastic modeling, Monte Carlo analysis, Value-at-Risk (VaR) approach and credit risk assessment models (Credit Risk Models).

Why choose us

Expert approach: Our team consists of experienced developers, financial analysts and machine learning specialists

Technological Innovation: We use advanced technologies and techniques such as Big
Data processing (Big Data), cloud computing, distributed computing and High Frequency trading (HFT) to provide you with a competitive advantage in the market

Individual approach: We adapt our strategies to your specific goals and needs, providing personalized solutions

Transparency and Control: We provide full transparency in the process of developing
and implementing strategies, as well as regular reports on results, including performance metrics such as the Sharpe ratio, maximum drawdown, portfolio volatility, Sortino Ratio and Jensen's Alpha.