Intelligent trading and risk management framework
AssigneeZiggurat Technologies, Inc.
InventorsSiamak NAZARI, Hassan KHANIANI
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Abstract
A computer-implemented integrated framework for managing real-time financial trades and risk management is described herein. Quantitative and sentimental parameters of trading market are identified and analyzed. A stock selection module having a deep learning architecture performs future predictions based on the analyzed quantitative and sentimental parameters, wherein the stock selection module comprises. A probability number in percentage is assigned to a trading decision. Based on the assigned probabilities to different trading decisions, entrance and exit signals are provided to a user based on their preferences such as the user's risk tolerance.
Claims1
A method for trading and risk management, the method comprising:
- identifying quantitative and sentimental parameters of trading market;
- receiving bio-signals including natural responses of a user;
- analyzing the quantitative and sentimental parameters of the trading market;
- providing a stock selection module to perform future predictions based on the analyzed quantitative and sentimental parameters, wherein the stock selection module comprises a deep learning architecture;
- providing a probability number in percentage to a trading decision;
- and
- providing entrance and exit signals to the user based on the user's preferences, and wherein the received bio-signals are configured to verify the trading decision and customize the analyzing based on the user's preferences.
Dependencies are inferred from the claim text.