With EagleAi’s enterprise scale AI platform and its Advanced Risk management models for solving specific problems faced by their industry, enterprises can bring the power of AI to make their defenses rock solid. EagleAi’s patent pending, self-learning models get to work from the get-go and keep refining its models non-stop, thus keeping it always current and effective.Integration with EagleAi is seamless and easy. EagleAi is available as a native solution on all cloud platforms as well as an on-prem solution. You can achieve a speed of “0 to production-ready” in just days.
EagleAi™ TradeWatch is an ensemble of AI engines that observes trading transactions from logs or from a database and learns to identify outliers that matters for risk management. The advanced AI engines powering EagleAi TradeWatch modules have been designed to detect issues that has caused many firms to lose a lot of money in trading due to operational (non-market) losses and regulatory fines. EagleAi TradeWatch modules covers identification of various risky anomalies for different asset classes such as stocks, ETFs, options, bonds and FX. Further, it studies the patterns of behaviors of different entities involved in trading such as the clients, traders, desk, symbol and even the system that is used for trading. Check out this Trading Risk Use Case.
EagleAi has a very high accuracy rate thanks to its ensemble of AI algorithms employed to do its job. With its relying on multiple different approaches to confirm an issue before it is raised as an alert, EagleAi is highly accurate in its identification of issues. Further more, EagleAi is able to detect a problem before it becomes serious using its trend forecasting approaches.
EagleAi is using innovative methods to triangulate across different models to be able to identify the exact problem such as the specific client, trader, system name etc. that would give enough information to fix any problem instantaneously. There is no need to second guess with issues identified by EagleAi. EagleAi™ anomaly scores named ‘E-Score’ are adaptive to current market conditions and specific news events on symbols and hence reduces false positives significantly.
- EagleAi Use Case Series: Fraud Risk – Undetected spoofing practice at a trading firm brings disrepute to the firm along with hefty fines
- EagleAi Use Case Series: Compliance Risk – A junior developer accidentally removes critical compliance checks which goes unnoticed for a very long time
- EagleAi Use Case Series: Market Data Risk – Bad market data causes a broker to reject orders from a client incorrectly which leads to a financial loss
- EagleAi Use Case Series: Trading Risk – A single order with incompatible instructions from a client caused $100k+ loss in revenues for a major broker