Intelligent investment advisor interaction and asset allocation visual decision-making system based on augmented reality

Abstract

The invention relates to the technical field of intelligent investment advisers, and discloses an intelligent investment adviser interaction and asset allocation visual decision-making system based on augmented reality, and the system comprises an augmented reality display device; the user interaction module is used for capturing an input instruction of a user; a data acquisition module; intelligent investment advisor and commissioning; a visualization processing unit; a decision execution module; a system control center; a user identity authentication module; a data storage module; a network communication module; and a calculation acceleration module. According to the intelligent investment adviser interaction and asset allocation visual decision-making system based on augmented reality, by integrating augmented reality display equipment and a multi-dimensional visual processing unit, an abstract asset allocation scheme, a market trend and risk information are overlaid in a real environment in visual forms such as a three-dimensional hologram and a spectrogram; the understanding efficiency and decision immersion of the user on the complex financial data are remarkably improved, and the problems that traditional two-dimensional interface information is not visual in presentation and poor in interaction experience are solved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of intelligent investment advice, and particularly relates to an intelligent investment advice interaction and asset allocation visual decision system based on augmented reality. BACKGROUND

[0002] As a system that uses artificial intelligence technology, combines big data analysis and algorithm models, and provides personalized and automated wealth management services for investors, intelligent investment advice has rapidly developed worldwide in recent years. Intelligent investment advice platforms can automatically recommend investment portfolios and dynamically adjust them according to the risk appetite, investment goals and financial situation of investors through advanced technologies such as machine learning and natural language processing, thus meeting the diversified wealth management needs of investors.

[0003] With the rapid development of financial technology (FinTech), intelligent investment advice (Robo-Advisor) has gradually become an important trend in the field of wealth management. Traditional investment consulting services have high thresholds, high costs and strong human subjectivity, and are difficult to cover the general public. In recent years, intelligent investment advice systems based on big data and artificial intelligence algorithms have significantly reduced service costs and improved decision-making efficiency by automatically analyzing user risk appetite, market data and generating asset allocation solutions.

[0004] According to the intelligent investment advice system based on big data mentioned in the invention patent with the Chinese patent application number 202510315076.1, the integration of multi-dimensional financial market data and the generation of personalized investment strategies are realized by using big data analysis technology. However, the intelligent investment advice system based on big data lacks intuitive visual interaction means, and users have difficulty quickly understanding the asset allocation logic. Therefore, it is necessary to propose an intelligent investment advice interaction and asset allocation visual decision system based on augmented reality to solve the above problems. SUMMARY

[0005] (I) Technical problems solved In view of the deficiencies in the prior art, the application provides an intelligent investment advice interaction and asset allocation visual decision system based on augmented reality, which has the advantages of being able to realize real-time interaction of asset allocation schemes by integrating augmented reality technology and intelligent investment advice algorithms, effectively improving user decision-making immersion and understanding efficiency of complex financial data.

[0006] (II) Technical solutions To achieve the above purpose, the application provides the following technical solutions: an intelligent investment advice interaction and asset allocation visual decision system based on augmented reality, comprising: an augmented reality display device for presenting visual information of asset allocation; The user interaction module is used to capture user input commands; The data acquisition module is used to acquire financial market data and user asset data in real time. The intelligent investment advisory engine generates asset allocation plans based on users' risk preferences and historical data; The visualization processing unit transforms asset allocation plans and financial data into augmented reality visualizations. The decision execution module is used to execute asset configuration operations based on user-confirmed instructions. The system control center coordinates the data flow and control commands between various modules; The user authentication module is used to verify user identity and manage access permissions; The data storage module is used to store user profiles, historical operation records, asset allocation models, and transaction records; The network communication module supports 5G, Wi-Fi 6, or satellite network communication to achieve high-speed, low-latency data transmission. The computing acceleration module integrates a GPU or a dedicated AI chip to accelerate the calculation of complex financial models and graphics rendering.

[0007] Preferably, the augmented reality device is one of augmented reality glasses, augmented reality helmet, or mobile terminal augmented reality display device, and the augmented reality display device integrates a posture sensor and an ambient light sensor for adapting the display effect.

[0008] Preferably, the user interaction module supports at least one of the following interaction methods: gesture recognition, voice interaction, eye tracking, and haptic feedback. The user interaction module includes: A gesture recognition unit is used to recognize user gestures performed in the air or on a specific surface. The voice interaction unit is used to recognize the user's voice commands and provide voice feedback; An eye-tracking unit is used to capture the user's eye movements to identify their focus.

[0009] Preferably, the intelligent investment advisory engine includes: The user profiling unit is used to analyze user risk preferences, investment goals, and historical behavioral data through machine learning algorithms to generate user profiles. The asset allocation model generates optimized allocation schemes based on Modern Portfolio Theory (MPT), Black-Litterman model, or machine learning algorithms, and dynamically adjusts asset weights. The risk control unit is used to monitor market risk indicators in real time and provide risk warning information. The backtesting simulation unit is used to simulate and validate asset allocation plans and evaluate their performance based on historical data.

[0010] Preferably, the visualization content generated by the visualization processing unit includes: A 3D holographic map of asset distribution displays the allocation ratio of different asset classes in a three-dimensional way and supports drill-down query of underlying assets; Market trend arrows, superimposed on the real-world environment in augmented reality, indicate market trends. The asset return simulation line shows the expected return path and probability distribution under different allocation schemes; The risk spectrum chart visualizes the risk levels of different assets using color gradients.

[0011] Preferably, the asset distribution 3D hologram supports user interaction, responding to user gestures to rotate, zoom, or highlight specific asset categories, and can display a detailed information window for that asset.

[0012] Preferably, the data acquisition module is further configured to acquire data from multiple data sources, including stock exchanges, financial news websites, and social media sentiment indices, and includes: The data cleaning unit is used to filter noise and handle outliers in the acquired raw data. The data fusion unit is used to integrate heterogeneous data from multiple sources into a unified format.

[0013] Preferably, the decision execution module includes: The instruction verification unit is used to confirm the user's operational intent through secondary confirmation or biometric recognition. The transaction interface unit uses an encrypted communication protocol to connect to the financial institution's trading system to execute buy and sell operations; The confirmation feedback unit provides users with transaction confirmation feedback in augmented reality visual forms (such as checkmark animations and floating transaction receipt windows).

[0014] Preferably, the system control center is also responsible for: The performance monitoring unit monitors the load and response time of each module in the system in real time. The fault-tolerant processing unit can perform task switching or data recovery when a module fails, ensuring the continuous operation of the system.

[0015] Preferably, the user authentication module adopts a multi-factor authentication mechanism, including at least two of the following: password verification, biometric recognition (fingerprint, iris) or dynamic token; the asset allocation model also integrates a reinforcement learning algorithm, which can continuously optimize the allocation strategy based on market feedback and user behavior; the data storage module adopts a distributed database architecture, encrypts and stores sensitive financial data and personal information, and has a data backup and recovery mechanism.

[0016] (III) Beneficial Effects Compared with existing technologies, this invention provides an augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system, which has the following beneficial effects: 1. This augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system integrates augmented reality display devices and multi-dimensional visualization processing units to overlay abstract asset allocation schemes, market trends, and risk information onto the real environment in intuitive forms such as three-dimensional holograms and spectral maps. This significantly improves users' efficiency in understanding complex financial data and enhances their immersive decision-making experience, solving the problems of unintuitive information presentation and poor interactive experience in traditional two-dimensional interfaces.

[0017] 2. This augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system integrates multimodal user interaction modules (including gesture recognition, voice interaction, and eye tracking) with an intelligent investment advisory engine, enabling users to interact with the system in a more natural and efficient way, adjust and verify asset allocation plans in real time, and improve the system's adaptability, interaction efficiency, and personalized service level by relying on reinforcement learning algorithms to dynamically optimize strategies.

[0018] 3. This augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system, by constructing a comprehensive technical architecture that includes multi-source data acquisition, high-performance computing acceleration, security authentication, and distributed storage, achieves low-latency data processing, secure and reliable transaction execution, and system fault tolerance management, effectively ensuring the system's high performance, high availability, and data security in real-time financial decision-making scenarios. Attached Figure Description

[0019] Figure 1 This is the main architecture diagram of the intelligent investment advisory system of the present invention; Figure 2 This is a detailed architecture diagram of the user interaction module of the present invention; Figure 3 This is a detailed architecture diagram of the intelligent investment advisory engine of the present invention; Figure 4 This is a detailed architecture diagram of the data acquisition and processing module of the present invention; Figure 5 This is a detailed architecture diagram of the visualization processing unit of the present invention; Figure 6 This is a detailed architecture diagram of the decision execution module of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Please see Figures 1-6 An augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system includes: Augmented reality display devices are used to present visual information about asset allocation; The user interaction module is used to capture user input commands; The data acquisition module is used to acquire financial market data and user asset data in real time. The intelligent investment advisory engine generates asset allocation plans based on users' risk preferences and historical data; The visualization processing unit transforms asset allocation plans and financial data into augmented reality visualizations. The decision execution module is used to execute asset configuration operations based on user-confirmed instructions. The system control center coordinates the data flow and control commands between various modules; The user authentication module is used to verify user identity and manage access permissions; The data storage module is used to store user profiles, historical operation records, asset allocation models, and transaction records; The network communication module supports 5G, Wi-Fi 6, or satellite network communication to achieve high-speed, low-latency data transmission. The computing acceleration module integrates a GPU or a dedicated AI chip to accelerate the calculation of complex financial models and graphics rendering.

[0022] In the implementation of this case, the augmented reality display device is preferably an augmented reality glasses, helmet, or mobile terminal display device, which integrates a posture sensor and an ambient light sensor. In practical applications, the device captures the lighting conditions of the user's environment and the user's head posture in real time through the sensors, and dynamically adjusts the brightness, contrast, and spatial position of the holographic image. This allows the user to obtain clear and stable visual information under different lighting conditions, effectively solving the problems of traditional screen displays being greatly affected by environmental interference and having a weak sense of visual immersion, and significantly improving the user experience.

[0023] In the implementation of the case, the user interaction module supports multiple interaction methods such as gesture recognition, voice interaction, and eye tracking. The gesture recognition unit captures user gestures through a camera or depth sensor and identifies operation intentions such as tapping, dragging, and zooming. The voice interaction unit integrates speech recognition and synthesis technology, enabling users to operate the system through natural language commands. The eye tracking unit captures eye movements through an infrared camera, identifies the user's gaze point, and highlights relevant asset information in real time. The multimodal interaction mechanism greatly improves the naturalness and efficiency of human-computer interaction, and is especially suitable for use in mobile environments or complex scenarios.

[0024] The data acquisition module obtains financial market data and user asset data in real time from multiple data sources (such as stock exchanges, financial news, and social media). The module is equipped with a data cleaning unit and a data fusion unit to remove noise, handle outliers, and unify the format of the raw data, ensuring that the data input into the intelligent investment advisory engine is of high quality and consistent. This effectively improves the real-time performance and accuracy of the system data, laying a reliable foundation for subsequent analysis and decision-making.

[0025] The robo-advisor engine comprises a user profiling unit, an asset allocation model, a risk control unit, and a backtesting simulation unit. The user profiling unit uses machine learning algorithms to analyze users' historical behavior, risk preferences, and investment goals to construct dynamic user profiles. The asset allocation model generates and dynamically optimizes asset allocation schemes based on Modern Portfolio Theory (MPT), the Black-Litterman model, or machine learning algorithms. The risk control unit monitors market risk indicators in real time and issues warnings during abnormal fluctuations. The backtesting simulation unit uses historical data to verify strategies and evaluate performance. Through data-driven and algorithmic optimization, the robo-advisor engine provides highly personalized asset allocation recommendations while exhibiting good adaptability and robustness.

[0026] The visualization processing unit transforms asset allocation plans, market data, and other information into 3D holograms, market trend arrows, asset return simulation lines, and risk spectrum charts suitable for augmented reality environments. Users can rotate, zoom, and perform through-view queries on the 3D asset distribution map through gestures and voice interaction. The system responds in real time and displays detailed information. The visualization mechanism greatly enhances users' intuitive understanding of complex financial structures and market dynamics, helping them make more informed investment decisions.

[0027] In the implementation of this case, the decision execution module includes an instruction verification unit, a transaction interface unit, and a confirmation feedback unit. Before confirming the execution of a transaction, users need to verify their identity and intent through secondary confirmation or biometrics (such as fingerprints or irises). The transaction interface unit connects to the brokerage or bank system via an encrypted communication protocol to execute the transaction. The confirmation feedback unit provides feedback on the transaction results to the user in augmented reality form (such as floating windows or animated prompts). The implementation process of the decision execution module ensures transaction security while providing clear operational feedback, thereby enhancing user trust.

[0028] The system control center is responsible for coordinating the data flow and control commands between modules. Its built-in performance monitoring unit tracks the system load and response time in real time, and activates the fault tolerance processing unit when an anomaly is detected. The fault tolerance processing unit can automatically switch backup modules or restore data to ensure that the system can continue to run even when there are partial failures, thereby improving the system's robustness and service continuity.

[0029] The user authentication module employs a multi-factor authentication mechanism, such as a password combined with biometrics or dynamic tokens, to ensure that only authorized users can access the system. The data storage module adopts a distributed database architecture, encrypts and stores sensitive data, and has backup and recovery mechanisms to prevent data loss and leakage. The security design complies with the regulatory requirements of the financial industry and effectively protects user privacy and asset security.

[0030] The network communication module supports 5G, Wi-Fi 6, or satellite communication to achieve high-speed, low-latency data transmission, which is particularly suitable for the processing needs of real-time financial data; the computing acceleration module integrates GPU or AI-dedicated chips to significantly improve the speed of complex financial model calculation and graphics rendering, ensuring the smoothness of the system in high-concurrency and real-time interactive scenarios.

[0031] In summary, this augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system, by integrating augmented reality display devices and multi-dimensional visualization processing units, overlays abstract asset allocation schemes, market trends, and risk information onto the real environment in intuitive forms such as 3D holograms and spectral maps. This significantly improves users' efficiency in understanding complex financial data and enhances their immersive decision-making experience, solving the problems of unintuitive information presentation and poor interactive experience in traditional two-dimensional interfaces.

[0032] Furthermore, by integrating multimodal user interaction modules (including gesture recognition, voice interaction, and eye tracking) with an intelligent investment advisory engine, users can interact with the system in a more natural and efficient way, adjust and verify asset allocation plans in real time, and improve the system's adaptability, interaction efficiency, and personalized service level by relying on reinforcement learning algorithms to dynamically optimize strategies.

[0033] Furthermore, by constructing a comprehensive technical architecture that includes multi-source data acquisition, high-performance computing acceleration, security authentication, and distributed storage, low-latency data processing, secure and reliable transaction execution, and system fault tolerance management are achieved, effectively ensuring the system's high performance, high availability, and data security in real-time financial decision-making scenarios.

[0034] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0035] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system, characterized in that, include: Augmented reality display devices are used to present visual information about asset allocation; The user interaction module is used to capture user input commands; The data acquisition module is used to acquire financial market data and user asset data in real time. The intelligent investment advisory engine generates asset allocation plans based on users' risk preferences and historical data; The visualization processing unit transforms asset allocation plans and financial data into augmented reality visualizations. The decision execution module is used to execute asset configuration operations based on user-confirmed instructions. The system control center coordinates the data flow and control commands between various modules; The user authentication module is used to verify user identity and manage access permissions; The data storage module is used to store user profiles, historical operation records, asset allocation models, and transaction records; The network communication module supports 5G, Wi-Fi 6, or satellite network communication to achieve high-speed, low-latency data transmission. The computing acceleration module integrates a GPU or a dedicated AI chip to accelerate the calculation of complex financial models and graphics rendering.

2. The augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system according to claim 1, characterized in that, The augmented reality device is one of augmented reality glasses, augmented reality helmet, or mobile terminal augmented reality display device, and the augmented reality display device integrates a posture sensor and an ambient light sensor for adapting the display effect.

3. The augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system according to claim 1, characterized in that, The user interaction module supports at least one of the following interaction methods: gesture recognition, voice interaction, eye tracking, and haptic feedback. The user interaction module includes: A gesture recognition unit is used to recognize user gestures performed in the air or on a specific surface. The voice interaction unit is used to recognize the user's voice commands and provide voice feedback; An eye-tracking unit is used to capture the user's eye movements to identify their focus.

4. The augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system according to claim 1, characterized in that, The intelligent investment advisory engine includes: The user profiling unit is used to analyze user risk preferences, investment goals, and historical behavioral data through machine learning algorithms to generate user profiles. The asset allocation model generates optimized allocation schemes based on Modern Portfolio Theory (MPT), Black-Litterman model, or machine learning algorithms, and dynamically adjusts asset weights. The risk control unit is used to monitor market risk indicators in real time and provide risk warning information. The backtesting simulation unit is used to simulate and validate asset allocation plans and evaluate their performance based on historical data.

5. The augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system according to claim 1, characterized in that, The visualization content generated by the visualization processing unit includes: A 3D holographic map of asset distribution displays the allocation ratio of different asset classes in a three-dimensional way and supports drill-down query of underlying assets; Market trend arrows, superimposed on the real-world environment in augmented reality, indicate market trends. The asset return simulation line shows the expected return path and probability distribution under different allocation schemes; The risk spectrum chart visualizes the risk levels of different assets using color gradients.

6. The augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system according to claim 5, characterized in that, The asset distribution 3D hologram supports user interaction, responding to user gestures to rotate, zoom, or highlight specific asset categories, and can display a detailed information window for that asset.

7. The augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system according to claim 1, characterized in that, The data acquisition module is also used to acquire data from multiple data sources, including stock exchanges, financial news websites, and social media sentiment indices, and includes: The data cleaning unit is used to filter noise and handle outliers in the acquired raw data. The data fusion unit is used to integrate heterogeneous data from multiple sources into a unified format.

8. The augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system according to claim 1, characterized in that, The decision execution module includes: The instruction verification unit is used to confirm the user's operational intent through secondary confirmation or biometric recognition. The transaction interface unit uses an encrypted communication protocol to connect to the financial institution's trading system to execute buy and sell operations; The confirmation feedback unit provides users with transaction confirmation feedback in augmented reality visual forms (such as checkmark animations and floating transaction receipt windows).

9. The augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system according to claim 1, characterized in that, The system control center is also responsible for: The performance monitoring unit monitors the load and response time of each module in the system in real time. The fault-tolerant processing unit can perform task switching or data recovery when a module fails, ensuring the continuous operation of the system.

10. The augmented reality-based intelligent investment advisory interaction and asset allocation visualization decision-making system according to claim 1, characterized in that, The user authentication module employs a multi-factor authentication mechanism, including at least two of the following: password verification, biometric recognition (fingerprint, iris) or dynamic tokens; the asset allocation model also integrates a reinforcement learning algorithm, which can continuously optimize the allocation strategy based on market feedback and user behavior; the data storage module adopts a distributed database architecture, encrypts and stores sensitive financial data and personal information, and has a data backup and recovery mechanism.

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