The most important principal of our trading framework is to make sound decisions based on accurate information. Our information-driven algorithmic framework leverages real-time detection of order flow imbalances to infer information asymmetry between market participants. By sampling exclusively during statistically significant deviations in buying and selling pressure, our models isolate high-information events that enhance signal quality and model efficiency.

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