Intelligent trading and risk management framework
AssigneeZiggurat Technologies, Inc.
InventorsSiamak NAZARI, Hassan KHANIANI
Life of this patent
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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.
Claims7
A method for trading and risk management, the method comprising:
- identifying quantitative and sentimental parameters of trading market;
- 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 a user based on user preferences.
A non-transitory computer readable medium embodying a program of instructions executable by a machine to perform operations for trading and risk management, the operations comprising:
- identifying quantitative and sentimental parameters of trading market;
- 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 a user based on user preferences.
A method for trading and risk management, the method comprising:
- combining bio-signals and natural responses of a user to control and verify individuals decision making and to customize the tools and analytics based on the user's trading preferences, risk tolerance, expectations, and trading appetite, wherein the biosignals and natural responses of the user includes heartbeat data in real-time, blood pressure, and brain signal, including EEG and EMG data as well as EKG data from heart.
Dependencies are inferred from the claim text.