Our Technology

Artificial Intelligence (AI) is centric to our R&D in algorithm trading.

  • Trading Logic:

    We have a defined trading logic for AI algorithms developed

     

    Risk Management:

    Losing trades are not closed immediately. Another set of AI algorithm is employed to “nurse” the losing trade over a certain period to minimize the lost or recover net position. However, if position is deemed unrecoverable, AI algorithm will take the lost and closed position to prevent further lost. With other winning trades, this lost can be net off.

     

    Timing Technology:

    AI Algorithms do not use historical data and do not predict. They use information available “at the moment” to decide whether to enter a particular trade.

     

    Self-learning AI Algorithms: Algorithms have artificial intelligence, which allow them to trade dynamically in the market. They are trained to be self-learning according to the market condition “at the moment”.

     

    Probabilistic-based Approach: AI algorithms use probability based trading to decide execution of trade “at the moment”

     

    Hardware intensive backend operations: We have and need more than a thousand of servers to support the dynamic AI algorithm trading system.

The Evolution of Trading

Our technology uses AI algorithm that is self-learning and dynamic in trading “at the moment” of the market. Can you identify yourself in the evolution timeline?

With each level of improvement in the trading style, we achieve higher profitability, consistency and have lower volatility.

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Self-learning AI Algorithms: Algorithms have artificial intelligence, which allow them to trade dynamically in the market. They are trained to be self-learning according to the market condition “at the moment”.

Drug Discovery & Algo Discovery

Our algorithm discovery process is similar to a drug discovery process, where candidate algorithms go through stringent testing phases, which can take up to 8-10 years.

White Box VS Black Box

All our algorithms have clearly defined trade logic from inception. We know why it works well or how to fix it, where as a black box algorithm lacks clearly defined trade logic so the results lack transparency and accountability. In history, many companies have lost millions of money using black box algorithm. We see black box algorithm as drug that as not completed the discovery process.