These items are checked client side. You can write server side, sql based validation rules and add them to the system. They take full advantage of 14 years of experience with pattern analysis, mathematical modeling, and artificial intelligence. This improves the system performance based on past and current experience, and enables the system to continually self adapt. Other agents loop back on the agents themselves, looking for groups of agents that are more accurate taken in combination - this performs a similar function to but is much faster than a neural net.
Additional enhancements improve and speed the learning capabilities of the system.
LeMarck, Darwin and RV are learning modes designed to leverage and circumvent the strengths and limits of self-learning A.I. systems. LeMarck Rewards and punishes agents that voted for and against winning and losing trades. Keeps the updated agent settings if they produce a superior result as compared to all prior runs. Named for the scientist who proposed that offspring inherit the learned behaviors of their parents. Darwin Randomly changes agent settings, executes a replay, and keeps the altered settings if they produce a superior result as compared to prior runs.