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2nd quarter of 2023

Q2 2023 key highlights:

  • Machine Learning Mastery: PrimeQ’s intensive R&D in Q2 resulted in a breakthrough machine learning model that predicts market extremums with high probability. This innovation holds the potential to shape future trading strategies.
  • Outperforming Strategies: Our AI-powered trading strategies showcased exceptional performance on stock markets, exceeding market norms. Although early stages of crypto and forex markets, the strategies demonstrate promise.
  • Investment Robotics: Q2 saw the creation of three pioneering “investment robots” employing strategies like spread trading and AI-backed trend-following. The results show that the application of VWAP and Cointegration techniques still requires more research in order to achieve better results. A risk management module was further developed to enhance portfolio control.
  • Project Continuation: The ongoing first-phase project boasts significant achievements, from system architecture design to simulation strategy development. The introduced investment engine brings together essential tools for effective evaluation.
  • Analytical Power: A new backtesting module provides detailed insights into asset profitability and risk, while the “paper trade” feature allows real-time outcome simulation.
Selected results of predictions of backtesting for the period 2020-2022
Machine learning strategy results based on SPY 1h candles, 2020-2022
Machine learning strategy results based on AMD 1h candles, 2020-2022

 

PrimeQ’s Q2 milestones highlight innovation in machine learning, trading strategies, and analytical capabilities.

Summary

Business priorities

  • Stable financing continues
  • All monthly and quarterly reports accepted
  • Talks about entering on market started

Research priorities

  • Many machine learning models were developed using:
    • LSTM deep neural networks
    • XGBoost Forest trees

Team and cooperation

  • Team maintained
  • Successful cooperation with IGS VC developed
  • Talks with potential partners initiated