Self-learning automated trading

• Clearly outline derivation of various sets of trading strategies corresponding to various market behaviour philosophies & reflecting various risk/return combinations
• Understand how to adjust strategies to changing market conditions
• Grasp how the Omina optimization can complement existing trading models based on fundamental/technical analysis

Omina Trading is a prototype that derives robust End-of Day trading strategies for Equity Markets over different time horizons (Balancing short- and long-term market movements.).

Being self-learning, Omina Trading not only creates strategies, but also updates these strategies based on previous failures and successes while taking into account the latest market information as it becomes available. Omina Trading is based on a specific type of Artificial Intelligence called Deep Reinforcement Learning, which tries to mimic the way the human brain works in terms of 'memorizing' and distinguishing between successful and underperforming approaches (and linked root causes) on the one hand, and subsequently deriving and testing new ideas based on this 'knowledge' on the other hand.

Expert: Koen Wijnen, Bmatix

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