Using VUKU™ for finance

Managing assets,
maximising utilisation

learn about our platform

Using VUKU™ for finance

Managing assets,
maximising utilisation

Using VUKU™ for finance

If there is one thing certain about financial markets it is uncertainty. In fact, uncertainty is central to a thriving stock market where traders can speculate, and the one who can speculate the best takes away the most rewards. Almost all companies trading in the stock markets have been using some sort of prediction tool to augment the human intuition and analysis. Of late many companies have started using traditional AI technologies for trend analysis and predictions.

Using VUKU™ for decision-making is ideally suited for this industry. It is designed to apply the most advanced probabilistic modelling techniques to learn from history and create multiple models of possible “tomorrows,” each with different uncertainty of price and volatility distribution. These models are then used by multiple Reinforcement Learning (RL) agents, each with a different strategy, to make buy/sell decisions. Using the Multi-Agent System components of the platform, the RL agents collaborate with each other, to maximise the returns across all strategies for the entire portfolio.

Probabilistic Modelling Icon
  • Probabilistic models identify biases and distributions for price and volatility movements
  • Possible futures can be sampled from models, and uncertainty can be quantified for decision-making
Reinforcement Learning Icon
Multi-Agent System Icon
  • Agents identify strategies
  • Agents can develop strategies collaboratively to enhance total performance on portfolio level
  • Optimise for expected returns and risks probabilistically

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