System and method for real-time video streaming of global financial market data
The system addresses the challenges of dynamic data streaming by providing real-time video streaming of global financial market data with low latency and interactive replay, ensuring accurate and scalable delivery across diverse devices.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- ROHRA PRAKASH
- Filing Date
- 2026-01-09
- Publication Date
- 2026-07-23
Smart Images
Figure IB2026050160_23072026_PF_FP_ABST
Abstract
Description
[0001] SYSTEM AND METHOD FOR REAL-TIME VIDEO STREAMING OF GLOBAL FINANCIAL MARKET DATA FIELD
[0002] The present disclosure relates to the field of the financial market. More particularly, the present disclosure focuses on real-time data streaming.
[0003] BACKGROUND
[0004] The background information herein below relates to the present disclosure but is not necessarily prior art.
[0005] Modem digital platforms increasingly rely on the rapid dissemination of time-sensitive data to end users across heterogeneous devices and network environments. In various domains, large volumes of continuously changing data are generated by geographically distributed sources and must be delivered to users in a form that is both timely and comprehensible. Conventional approaches often involve transmitting raw or semi -processed data to client applications, which may result in high computational overhead, inconsistent presentation, and difficulties in maintaining temporal accuracy across different devices and network conditions.
[0006] Existing multimedia streaming solutions are primarily optimized for pre-recorded or lightly interactive content and are not inherently configured to accommodate continuously changing data streams that require frequent updates, synchronization, and low end-to-end latency. As a result, such systems may suffer from delays, loss of data fidelity, or poor user experience when applied to highly dynamic information environments. Additionally, many known systems lack effective mechanisms for reconstructing historical system states or replaying past events in a deterministic and time-accurate manner, limiting their usefulness for analysis, review, or training purposes.
[0007] There is therefore a need for improved technical solutions that can efficiently handle continuously updating data streams, transform such data into user-friendly multimedia presentations, and deliver the resulting content with minimal latency. There is also a need for systems that support accurate replay and controlled playback of historical data while preserving original event timing and ordering, without imposing excessive computational or bandwidth requirements on client devices.There is, therefore, felt a need to develop a system and method for real-time video streaming of global financial market data, to alleviate the aforementioned disadvantages.
[0008] OBJECTS
[0009] Some of the objects of the present disclosure, which at least one embodiment herein satisfies, are as follows:
[0010] An object of the present disclosure is to provide a system and method for real-time video streaming of global financial market data.
[0011] Another object of the present disclosure is to provide a system that improves the presentation of continuously changing data through visual or multimedia formats that are intuitive and easily consumable by users.
[0012] Still another object of the present disclosure is to provide a system that supports the delivery of time-sensitive information across heterogeneous networks and user devices while maintaining consistency and reliability.
[0013] Yet another object of the present disclosure is to provide a system that enables interactive access to data streams without requiring direct exposure to underlying raw data structures. Still another object of the present disclosure is to provide a system that facilitates synchronization of data updates with multimedia content presentation.
[0014] Yet another object of the present disclosure is to provide a system that allows controlled playback, review, or analysis of previously generated data representations.
[0015] Still another object of the present disclosure is to provide a system that is scalable and adaptable to varying data volumes, user loads, and operational conditions.
[0016] Yet another object of the present disclosure is to provide a system that minimizes computational and bandwidth requirements at client devices.
[0017] Still another object of the present disclosure is to provide a system that supports modular implementation and flexible integration with existing platforms or services.
[0018] Yet another object of the present disclosure is to provide a system that enhances user experience while maintaining accuracy and temporal integrity of presented information.Other objects and advantages of the present disclosure will be more apparent from the following description, which is not intended to limit the scope of the present disclosure. SUMMARY
[0019] The disclosure relates to a system and method for real-time video streaming of global financial market data. The system acquires live financial market and financial instrument data from multiple exchanges or data providers through a persistent, bidirectional, low-latency communication interface that enables continuous streaming. The acquired data is processed to normalize, filter, segregate, and categorize market information across different financial domains, generating processed financial information suitable for real-time visual representation.
[0020] The processed information is transformed into multimedia content comprising dynamic visual and audio elements, including visualizations, dashboards, overlays, and audiovisual representations. This multimedia content is further prepared into polished video streams through encoding, format conversion, segmentation, encryption, watermarking, and adaptation to platform-specific delivery requirements. The system supports adaptive bitrate streaming, dynamic transmission parameter selection, load balancing, and scalability based on network conditions, device capabilities, content priority, and viewer demand to ensure low-latency end-to-end delivery.
[0021] The video content is presented to users through an application that enables interactive access to selected financial markets or instruments and allows customization through user preferences. The application supports continuous real-time updates in response to market changes and includes facilities for archiving market data with timestamps and sequence identifiers to ensure deterministic ordering. Stored data may be reconstructed and replayed using snapshots and sequential updates, preserving original event timing and enabling variable -speed playback, synchronization, and gap detection.
[0022] A corresponding method is also disclosed, comprising acquiring real-time financial market data, processing the data into usable information, generating multimedia content, preparing video streams for distribution, and presenting continuously updated video content to users with interactive and replay capabilities while maintaining low-latency performance across distribution channels.BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWING
[0023] System and method for real-time video streaming of global financial market data, of the present disclosure will now be described with the help of the accompanying drawing, in which: Figure 1 illustrates a block diagram of the system for real-time video streaming of global financial market data, in accordance with an embodiment of the present disclosure; and Figure 2A and Figure 2B illustrate a method of for real-time video streaming of global financial market data.
[0024] LIST OF REFERENCE NUMERALS USED IN THE DESCRIPTION AND DRAWING:
[0025] 100 System
[0026] 102 Data acquisition module
[0027] 104 Data processing module
[0028] 110 Content generation module
[0029] 118 Language translation module
[0030] 124 Video generation module
[0031] 130 Broadcast-preparation module
[0032] 132 Real-time video streams
[0033] 136 Broadcasting module
[0034] 138 Digital platforms
[0035] 140 Application module
[0036] 150 Archival store
[0037] 160 Replay orchestrator
[0038] 170 Transport gateway
[0039] 180 Visualization interface200-212 Method and method steps
[0040] DETAILED DESCRIPTION
[0041] Embodiments, of the present disclosure, will now be described with reference to the accompanying drawing.
[0042] Embodiments are provided so as to thoroughly and fully convey the scope of the present disclosure to the person skilled in the art. Numerous details are set forth, relating to specific components, and methods, to provide a complete understanding of embodiments of the present disclosure. It will be apparent to the person skilled in the art that the details provided in the embodiments should not be construed to limit the scope of the present disclosure. In some embodiments, well-known apparatus structures, and well-known techniques are not described in detail.
[0043] The terminology used, in the present disclosure, is only for the purpose of explaining a particular embodiment and such terminology shall not be considered to limit the scope of the present disclosure. As used in the present disclosure, the forms “a”, “an” and “the” may be intended to include the plural forms as well, unless the context clearly suggests otherwise. The terms “comprises”, “comprising”, “including” and “having” are open-ended transitional phrases and therefore specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not forbid the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.
[0044] When an element is referred to as being “mounted on”, “engaged to”, “connected to” or “coupled to” another element, it may be directly on, engaged, connected, or coupled to the other element. As used herein, the term “and / or” includes any and all combinations of one or more of the associated listed elements.
[0045] Global financial markets generate vast volumes of real-time data across equities, derivatives, commodities, currencies, and digital assets, distributed through multiple exchanges operating in different time zones and regulatory environments. Existing financial information systems typically present such data through static dashboards, delayed reports, or fragmented feeds that require manual interpretation by users. These systems often struggle to transform continuously changing market data into synchronised, low-latency, multimedia content that can be intuitively consumed across devices and regions. Additionally, conventional platforms offerlimited support for multilingual presentations, real-time visualisation, time-zone normalisation, or seamless integration of live and historical market events into a unified viewing experience. As a result, users face challenges in obtaining timely, context-aware, and actionable insights from global financial markets, particularly when monitoring multiple exchanges or rapidly changing market conditions. Accordingly, there exists a need for an improved system and method capable of acquiring, processing, and presenting global financial market data as realtime video content with low latency, interactivity, and broad international accessibility.
[0046] Therefore, the present disclosure envisages a system and method for real-time video streaming of global financial market data (hereinafter referred to as system (100), method (200)). The present disclosure is explained with reference to Figures 1 to 2B.
[0047] The system (100) is configured as an integrated, low-latency platform that acquires real-time financial market data, transforms the data into meaningful processed financial information, generates multimedia representations, and delivers continuously updated video content to end users through one or more distribution channels. The system (100) operates in a distributed and scalable computing environment and is designed to support both live market visualisation and deterministic replay of historical market events while maintaining strict timing accuracy. The system comprises a data acquisition module (102), a data processing module (104), a content generation module (110), a broadcast-preparation module (130), an application module (140), replay orchestrator (160), a transport gateway (170), and a visualisation interface (180). In one embodiment, the data acquisition module (102) is configured to acquire real-time financial market data from one or more financial exchanges or financial data providers. These sources may include stock exchanges, derivatives exchanges, commodity markets, foreign exchange platforms, cryptocurrency exchanges, index providers, or aggregated market data vendors. The acquired financial market data may include, but is not limited to, trade executions, bid and ask price updates, order book depth changes, volume metrics, index movements, instrument status messages, and other event-driven financial signals associated with one or more financial instruments.
[0048] In one embodiment, the data acquisition module (102) establishes and maintains a persistent, bidirectional, low-latency communication interface with the financial exchanges or financial data providers. This interface enables continuous data streaming without repeated connection setup or polling delays.In one embodiment, the communication interface is implemented using a WebSocket protocol, allowing full-duplex, real-time transmission of market data events between the external data sources and the system (100). The data acquisition module (102) may further include mechanisms for connection health monitoring, message sequencing, buffering, retry handling, and failover to ensure uninterrupted data flow and data integrity.
[0049] In one embodiment, the financial instruments supported by the system (100) include equities, stocks, shares, indices, exchange-traded funds (ETFs), mutual funds, derivatives, futures, options, swaps, commodities, currencies, bonds, fixed-income securities, interest-rate instruments, cryptocurrencies, digital assets, and combinations thereof. The data acquisition module (102) is capable of handling heterogeneous data formats and update frequencies associated with these different financial domains.
[0050] In one embodiment, the data processing module (104) is configured to receive the acquired financial market data from the data acquisition module (102) and perform a series of transformation operations to generate processed financial information. These operations include normalisation of disparate data formats into a unified internal representation, filtering of irrelevant or redundant data, segregation of data by financial domain, instrument type, or market segment, and categorisation based on predefined or dynamically configurable criteria. The data processing module (104) may also compute derived metrics such as price changes, percentage movements, technical indicators, trends, correlations, or aggregated summaries. In one embodiment, the processed financial information generated by the data processing module (104) is structured in a manner suitable for real-time visualisation and multimedia rendering. The module (104) ensures deterministic ordering of events, applies timestamps and sequence identifiers where necessary, and prepares the data for downstream consumption while preserving the temporal characteristics of the original market events.
[0051] In one embodiment, the content generation module (110) is configured to receive the processed financial information from the data processing module (104) and generate multimedia content suitable for real-time video streaming. This multimedia content may include dynamically generated visual components such as charts, graphs, tickers, dashboards, heat maps, order book visualisations, and graphical overlays, as well as audio components such as alerts, commentary, or synthesized narration. The content generation module (110) continuously updates these visual and audio elements in response to incoming financial data changes.In one embodiment, the content generation module (110) may further incorporate trend indicators, technical analysis signals, multilingual text elements, branding assets, logos, colour themes, and dynamic data-driven animations. These elements enhance user comprehension and engagement by presenting complex financial information in an intuitive and visually appealing manner. The generated multimedia content is structured as a sequence of video frames or audiovisual streams that reflect the current state of the financial markets in near real time. The broadcast-preparation module (130) is configured to receive the generated multimedia content from the content generation module (110) and transform it into polished video content suitable for delivery across one or more distribution channels. This module (130) performs operations such as video encoding, format conversion, segmentation, compression, encryption, watermarking, and packaging according to platform-specific delivery requirements. The broadcast-preparation module (130) may support multiple output formats and streaming profiles to accommodate different devices, networks, and user capabilities.
[0052] In one embodiment, the broadcast-preparation module (130) is further configured to support adaptive -bitrate generation, load balancing, and horizontal scaling based on viewer demand. It dynamically selects transmission parameters such as resolution, frame rate, bitrate, and codec based on network conditions, user device capabilities, and content-priority policies. This ensures optimal viewing quality while maintaining low-latency end-to-end content delivery even under fluctuating network conditions or high concurrent user loads.
[0053] In one embodiment, the application module (140) is configured to execute on one or more user devices, including mobile devices, desktop computers, smart televisions, or dedicated streaming terminals. The application module (140) is communicatively coupled to the broadcast-preparation module (130) and is configured to present the real-time video content to users. The application module (140) enables users to select specific financial markets or financial instruments, configure display preferences, choose languages, and interact with the streamed content.
[0054] The application module (140) continuously updates the displayed video content in response to changes in the underlying financial market data, ensuring that users receive an up-to-date representation of market activity with minimal latency. User interactions and preferences received by the application module (140) may be communicated back to upstream modules to dynamically adjust content generation, filtering, or presentation behaviour.The application module (140) further comprises an archival store (150), a replay orchestrator (160), and a visualisation interface (180). The archival store (150) is configured to store financial market data messages annotated with timestamps and sequence identifiers. These annotations enable deterministic ordering of events and precise reconstruction of historical market states. The archival store (150) may store raw messages, processed messages, snapshots of system state, or combinations thereof.
[0055] The replay orchestrator (160) is configured to reconstruct and replay stored financial market data based on event timing. In one implementation, the replay orchestrator (160) reconstructs a system state by loading a snapshot corresponding to a selected time and applying sequential deltas extending from the snapshot time to a replay start time. The replay orchestrator (160) computes inter-message emission delays based on recorded event-time differences among the stored messages, thereby preserving the temporal relationships of the original market events. The replay orchestrator (160) may further insert control frames representing synchronization events, playback-rate changes, or detection of data gaps. The replay orchestrator (160) is capable of adjusting playback rate using a variable-speed factor while maintaining deterministic ordering based on event timing. This enables users to replay market activity at normal speed, accelerated speed, or slowed-down speed without distorting event sequences. The transport gateway ( 170) is configured to establish a continuous connection between serverside components and client devices. The transport gateway (170) may be implemented as part of the low-latency communication interface and is configured to transmit both live and replayed data to client devices. The transport gateway (170) supports one or more low -latency streaming protocols, including WebSocket, RTMP, HLS, DASH, or equivalent protocols, and may transmit explicit synchronization frames to maintain alignment between replay timing and a reference time base.
[0056] The visualisation interface (180) is configured to render time-accurate representations of live or replayed financial market data. The visualisation interface (180) applies snapshots and sequential updates received from the replay orchestrator (160) to reproduce an accurate reconstruction of market activity. The interface (180) ensures that visual elements transition in accordance with the original event timing and ordering.
[0057] The visualisation interface (180) further provides user controls such as pause, resume, seek, and variable-speed playback. These controls allow users to interactively explore marketbehaviour, analyse historical events, and correlate visual changes with specific financial data updates. Through the coordinated operation of the modules (102, 104, 110, 130, 140, 150, 160, 170, and 180), the system (100) delivers a robust, low-latency, and interactive real-time video streaming solution for global financial market data.
[0058] In an embodiment, the system (100) receives live financial market data from the Bombay Stock Exchange (BSE) through the data acquisition module (102). The data acquisition module (102) continuously collects equity prices, volume changes, index updates, and corporate-action alerts transmitted through a persistent low-latency communication interface. The data processing module (104) normalizes and structures the received data and generates processed financial information for further evaluation to identify significant market events.
[0059] In an embodiment, the system (100) receives real-time market data from the National Stock Exchange (NSE) using the same data acquisition module (102). The NSE feed includes equity tick data, futures and options updates, open-interest changes, volatility indicators, and currency-derivative movements. The data processing module (104) processes the NSE data to detect significant events such as breakouts, reversals, unusual derivatives activity, or large-volume trades.
[0060] In an embodiment, the system (100) simultaneously processes BSE and NSE data streams. The data acquisition module (102) merges multiple exchange feeds, while the data processing module (104) aligns symbol formats, timestamps, and exchange-specific attributes. Crossexchange correlations, price discrepancies, and synchronized movements are identified, and unified processed financial information is generated.
[0061] In an embodiment, the system (100) acquires data from additional Indian exchanges, including commodity, currency, and derivatives exchanges, using the same data acquisition module (102). The data processing module (104) applies identical normalization and event-detection logic without modifying any reference numerals or system architecture.
[0062] In an embodiment, the system (100) handles high-volume data from thousands of listed securities across exchanges. The data processing module (104) prioritizes high-impact events to ensure timely identification of significant movements across large-cap, mid-cap, and derivative-intensive instruments.
[0063] In an embodiment, the content generation module (110) generates multilingual narrative content corresponding to detected BSE-related events, including sector- wide movements orsharp price changes. The language translation module (118) produces additional language versions without introducing new component identifiers.
[0064] In an embodiment, the content generation module (110) similarly generates multilingual narratives for NSE-related events, including index movements, derivatives signals, and large-order flows, with translations performed by the language translation module (118).
[0065] In an embodiment, the video generation module (124) generates dedicated real-time video content for BSE-focused and NSE-focused data streams. During periods of high volatility, separate videos are generated using predefined visual templates, charts, and overlays.
[0066] In an embodiment, the broadcast-preparation module (130) prepares polished video content for delivery, and the broadcasting module (136) distributes BSE-specific or NSE-specific content to users based on preferences stored within the application module (140), without modifying any existing reference numerals.
[0067] In an embodiment, the system (100) generates a combined BSE-NSE market sentiment video by aggregating data through the data acquisition module (102), correlating patterns via the data processing module (104), generating narratives through the content generation module (110), and rendering video output using the video generation module (124).
[0068] In an embodiment, the system (100) extends support to all recognized Indian and international exchanges using the same internal modules. The data acquisition module (102) connects to additional exchange feeds, and subsequent processing, content generation, video rendering, and distribution are performed without altering component identifiers.
[0069] In an embodiment, the system (100) processes international market data from exchanges across Asia, Europe, the Middle East, Africa, and the Americas. The data processing module (104) adjusts currency units, timestamps, and regional attributes, enabling detection of international market movements. Localized narratives and multilingual video summaries are generated and delivered only to relevant users.
[0070] In an embodiment, the system (100) supports time-zone-aware alerts. The data processing module (104) tracks exchange session timings, converts them to the user’s local time, and triggers alerts for market openings, closings, breaks, or significant events. These alerts are integrated into live video streams by the video generation module (124) with multilingual audio and visual notifications via the language translation module (118).In an embodiment, the system (100) continuously stores timestamped financial data, enabling analysis of historical and live datasets. The data processing module (104) applies analytical or machine-learning techniques to identify trends, anomalies, or predictive indicators, which are visually presented through real-time video streams generated by the video generation module (124).
[0071] Figure 2A and Figure 2B illustrate a method of for real-time video streaming of global financial market data.
[0072] At step 202, the method (200) comprises acquiring, by a data acquisition module (102), realtime financial market or financial instruments data from one or more financial exchanges or financial data providers.
[0073] At step 204, the method (200) comprises processing, by a data processing module (104), the acquired financial market data to generate processed financial information.
[0074] At step 206, the method (200) comprises generating, by a content generation module (110), multimedia content.
[0075] At step 208, the method (200) comprises generating, by a broadcast-preparation module (130), a polished video content for delivery to one or more distribution channels.
[0076] At step 210, the method (200) comprises presenting, by an application module (140), through the distribution channels, real-time video content to users, receiving user preferences, and enabling interactive access to selected financial markets or financial instruments.
[0077] At step 212, the method (200) comprises continuously, by the system (100), updates the video content within the application module (140) in response to changes in the financial market data while maintaining low-latency end-to-end content delivery.
[0078] In an exemplary embodiment, the system (100) supports financial markets in the United States, including the New York Stock Exchange (NYSE) and NASDAQ. The data acquisition module (102) receives real-time equity, ETF, and index data during pre-market, regular trading hours (9:30 AM to 4:00 PM EST), and post-market sessions. The system (100) converts these session timings into the user’s local time zone, such as 1ST for users in India, and generates opening, closing, and volatility alerts. The video generation module (124) integrates these alerts into real-time video streams (132) with charts, indicators, and audio narration in the user’s preferred language via the language translation module (118).In an exemplary embodiment, the system (100) monitors the London Stock Exchange (LSE), which operates from 8:00 AM to 4:30 PM GMT. The analytics logic tracks session transitions and significant price movements, while the data processing module (110) categorizes securities by sector and index. Alerts are converted to the user’s local time and embedded into live video streams (132) through the broadcasting module (136), ensuring synchronized visual and auditory market updates.
[0079] In an exemplary embodiment, the system (100) supports European exchanges including Deutsche Borse (Xetra), Euronext Paris, and Borsa Italiana. Local trading hours are mapped to the user’s registered time zone, and market-opening, closing, and intraday alerts are generated. The video generation module (124) presents multilingual summaries of European market activity, sector performance, and index movements using region-appropriate charts and narration.
[0080] In an exemplary embodiment, the system (100) monitors the Toronto Stock Exchange (TSX), converting Canadian trading hours to the user’s local time. The system continuously tracks equities, commodities-linked stocks, and financial indices. Alerts for market sessions and price anomalies are delivered via video streams (132) with localized language support, enabling international traders to follow Canadian markets seamlessly.
[0081] In an exemplary embodiment, the system (100) supports Latin American markets, including B3 (Brazil) and the Santiago Stock Exchange (Chile). The data acquisition module (102) captures real-time market feeds, while the data processing module (110) adjusts currency formats and trading sessions. Alerts and video summaries are generated in the user’s preferred language, highlighting regional indices, commodity exposure, and sector-level movements. In an exemplary embodiment, the system (100) monitors Asia-Pacific exchanges including the Australian Securities Exchange (ASX) and New Zealand Exchange (NZX). Trading sessions are converted to the user’s local time zone, and alerts are triggered for market openings, closings, and major index movements. The video generation module (124) integrates these alerts into visually rich video streams (132) with region-specific market insights.
[0082] In an exemplary embodiment, the system (100) supports Middle Eastern exchanges such as the Qatar Stock Exchange (QSE), Abu Dhabi Securities Exchange (ADX), and Kuwait Stock Exchange (Boursa Kuwait). Local session timings are tracked, converted to the user’s localtime, and communicated through real-time video alerts with multilingual narration and captions.
[0083] In an exemplary embodiment, the system (100) monitors African markets including the Johannesburg Stock Exchange (JSE), Nairobi Securities Exchange, and Egyptian Exchange (EGX). The system generates alerts for market openings, closings, and significant sector movements, which are presented within real-time video streams (132) using localized audiovisual formats.
[0084] In an exemplary embodiment, the system (100) supports Japanese financial markets beyond equities, including derivatives and index futures traded on the Osaka Exchange. The analytics logic tracks overnight movements relevant to users in other regions, and video summaries are generated to explain cross-market impacts between Asian and Western markets.
[0085] In an exemplary embodiment, the system (100) supports cryptocurrency exchanges operating globally on a continuous basis. The data acquisition module (102) captures live crypto-market data, while the analytics logic identifies volatility spikes, liquidity changes, or abnormal trading behavior. Alerts are generated at any time of day and delivered via video streams (132) with language-specific narration and captions.
[0086] In an exemplary embodiment, the system (100) supports global commodity and derivatives exchanges, including CME, ICE, LME, and TOCOM. Extended trading hours are tracked, and alerts are generated for futures rollovers, price breakouts, or contract expirations. These alerts are synchronized with real-time commodity price visualizations within video streams (132). In an exemplary embodiment, the system (100) enables multi -market portfolio tracking for global traders. The data acquisition module (102) merges feeds from domestic and international exchanges, while the data processing module (110) correlates cross-market movements. The video generation module (124) produces explanatory videos describing how movements in one region influence markets in another.
[0087] In an exemplary embodiment, the system (100) maintains a centralized global trading calendar mapping exchange-specific holidays, special sessions, and shortened trading days to the user’s local time zone. The analytics logic uses this calendar to generate proactive alerts embedded into real-time video streams (132).In yet another exemplary embodiment, the system (100) applies machine learning models within the data processing module (110) to analyze historical and live global market data. The models identify emerging trends, correlations, and anomalies across regions. Predictive insights are visualized in real-time video streams (132), enhancing decision support for users monitoring international markets.
[0088] The foregoing description of the embodiments has been provided for purposes of illustration and is not intended to limit the scope of the present disclosure. Individual components of a particular embodiment are generally not limited to that particular embodiment, but, are interchangeable. Such variations are not to be regarded as a departure from the present disclosure, and all such modifications are considered to be within the scope of the present disclosure.
[0089] TECHNICAL ADVANCEMENTS
[0090] The present disclosure described herein above has several technical advantages including, but not limited to, the realization of a system and method for real-time video streaming of global financial market data, that:
[0091] • enable real-time, low-latency acquisition of global financial market data through persistent, bidirectional communication interfaces;
[0092] • allows continuous ingestion of heterogeneous financial instruments data from multiple exchanges and data providers using websocket-based connectivity;
[0093] • normalize and categorize high-frequency financial data across multiple financial domains to ensure consistent downstream processing;
[0094] • transform raw financial market data into structured, processed financial information suitable for real-time multimedia rendering;
[0095] • generate dynamic, data-driven multimedia content comprising synchronized visual and audio components for live video streaming;
[0096] • render real-time visualizations, dashboards, graphical overlays, and animations that reflect instantaneous market changes;
[0097] • integrate trend indicators, multilingual elements, and branding assets into live video content without interrupting streaming continuity;
[0098] • prepare broadcast-ready video streams by performing encoding, format conversion, segmentation, encryption, and watermarking operations;• adapt video streams dynamically based on network conditions, device capabilities, and content-priority policies to maintain quality of service;
[0099] • support adaptive bitrate streaming, load balancing, and horizontal scaling to accommodate fluctuating viewer demand;
[0100] • deliver polished, low-latency video content across multiple distribution channels using platform-optimized transmission parameters;
[0101] • synchronize real-time video updates with live financial market data to ensure minimal end-to-end latency;
[0102] • store time-ordered financial market messages annotated with timestamps and sequence identifiers for deterministic replay;
[0103] • reconstruct historical system states using snapshots and sequential deltas to enable accurate time-based replay of market activity;
[0104] • replay archived market data with precise inter-message timing derived from recorded event-time differences;
[0105] • transmit replayed and live data streams via a transport gateway supporting websocket, RTMP, HLS, DASH, or other low-latency protocols;
[0106] • insert control frames for synchronization, playback-rate changes, and data-gap detection to preserve replay integrity;
[0107] • maintain temporal alignment between replayed data streams and a reference time base using explicit synchronization frames;
[0108] • reproduce time-accurate visual representations of market activity by applying snapshots and sequential updates;
[0109] • adjust playback speed dynamically while preserving deterministic event ordering based on original event timing;
[0110] • provide interactive user controls, including pause, resume, seek, and variable-speed playback within the visualization interface; and
[0111] • enable seamless interaction between live streaming and historical replay within a unified application module.
[0112] The embodiments herein and the various features and advantageous details thereof are explained with reference to the non-limiting embodiments in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merelyto facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[0113] The foregoing description of the specific embodiments so fully reveals the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and / or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein.
[0114] The use of the expression “at least” or “at least one” suggests the use of one or more elements or ingredients or quantities, as the use may be in the embodiment of the disclosure to achieve one or more of the desired objects or results.
[0115] Any discussion of documents, acts, materials, devices, articles, or the like that has been included in this specification is solely for the purpose of providing a context for the disclosure. It is not to be taken as an admission that any or all of these matters form a part of the prior art base or were common general knowledge in the field relevant to the disclosure as it existed anywhere before the priority date of this application.
[0116] The numerical values mentioned for the various physical parameters, dimensions, or quantities are only approximations and it is envisaged that the values higher / lower than the numerical values assigned to the parameters, dimensions or quantities fall within the scope of the disclosure, unless there is a statement in the specification specific to the contrary.
[0117] While considerable emphasis has been placed herein on the components and component parts of the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiment as well as other embodiments of the disclosure will be apparent to those skilled in the art from thedisclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the disclosure and not as a limitation.
Claims
CLAIMS:
1. A system (100) for real-time video streaming of global financial market data, said system (100) comprising:• a data acquisition module ( 102) configured to acquire real-time financial market or financial instruments data from one or more financial exchanges or financial data providers;• a data processing module (104) configured to process said acquired financial market data to generate processed financial information;• a content generation module (110) configured to receive said processed financial information to generate multimedia content;• a broadcast-preparation module (130) configured to receive said generated multimedia content and generate a polished video content for delivery to one or more distribution channels; and• an application module (140) configured with said distribution channels to present real-time video content to users, receive user preferences, and enable interactive access to selected said financial markets or financial instruments; andwherein said system (100) continuously updates said video content within said application module (140) in response to changes in said financial market data while maintaining low-latency end-to-end content delivery.
2. The system (100) as claimed in claim 1, said data acquisition module (102) configured to acquire said financial exchanges or financial data providers transmit said acquired financial market data through a persistent, bidirectional, low-latency communication interface enabling continuous data streaming.
3. The system (100) as claimed in claim 2, wherein said low-latency communication interface is implemented using a WebSocket protocol to provide persistent, bidirectional, real-time streaming of financial market data between said financial exchanges or financial data providers and said system (100).
4. The system (100) as claimed in claim 3, said financial instruments include, but are not limited to, equities, stocks, shares, indices, exchange-traded funds (ETFs), mutual funds, derivatives, futures, options, swaps, commodities, currencies, bonds, fixed-incomesecurities, interest-rate instruments, cryptocurrencies, digital assets, and combinations thereof.
5. The system (100) as claimed in claim 1, said data processing module (104) configured to normalise, filter, segregate, and categorize said acquired financial market data and generate processed financial information corresponding to one or more financial domains 6. The system (100) as claimed in claim 1, wherein said multimedia content includes dynamically generated visual and audio components suitable for real-time video streaming.
7. The system (100) as claimed in claim 1, wherein said broadcast-preparation module (130) is configured to encode, format conversion, segmentation, encryption, or watermarking of the generated content, and adapt the content according to platform-specific delivery requirements and generate a polished video content for delivery to one or more distribution channels.
8. The system (100) as claimed in claim 1, wherein said broadcast-preparation module (130) is further configured to support adaptive-bitrate generation, load balancing, or horizontal scaling based on viewer demand.
9. The system (100) as claimed in claim 1, wherein said broadcast-preparation module (130) dynamically selects transmission parameters based on network conditions, user device capabilities, or content-priority policies.
10. The system (100) as claimed in claim 1, wherein said content generation module (110) is configured to generate visualisations, dashboards, graphical overlays, or audiovisual representations of the processed financial information.
11. The system (100) as claimed in claim 1, wherein said content generation module (110) is configured to incorporate at least one of trend indicators, multilingual content, branding elements, or dynamic data-driven animations.
12. The system (100) as claimed in claim 1, wherein said application module (140) is configured to execute on at least one user device, said application (140) being communicatively coupled to said broadcast-preparation module (130).
13. The system (100) as claimed in claim 12, said application (140) further comprising:• an archival store (150) configured to store financial-market data annotated with timestamps and sequence identifiers;• a replay orchestrator (160) configured to reconstruct and replay said stored data based on event timing; and• a visualisation interface (180) configured to render time-accurate representations of said replayed data.
14. The system (100) as claimed in claim 3, wherein said low-latency communication interface further includes a transport gateway (170) configured to establish a continuous connection between client devices and a server, further configured to transmit replayed data to said client devices.
15. The system (100) as claimed in claim 12, said archival store (1 0) configured to store messages annotated with timestamps and sequence identifiers for deterministic ordering.
16. The system (100) as claimed in claim 12, said replay orchestrator (160) configured to reconstruct a system state using snapshots and apply sequential deltas extending from the snapshot time to a replay start time.
17. The system (100) as claimed in claim 12, said replay orchestrator (160) configured to compute inter-message emission delays based on recorded event-time differences among the stored messages.
18. The system (100) as claimed in claim 12, said replay orchestrator (160) configured to insert control frames representing at least one of a synchronisation event, a playback-rate change, or detection of a data gap.
19. The system (100) as claimed in claim 13, said transport gateway (170) configured to transmit said replayed data using at least one of said WebSocket, RTMP, HLS, DASH, or other low-latency streaming protocols.
20. The system (100) as claimed in claim 13, said transport gateway (170) configured to transmit explicit synchronisation frames to maintain alignment between replay timing and a reference time base.
21. The system (100) as claimed in claim 12, said visualisation interface (180) configured to apply a snapshot and sequential updates to reproduce a time-accurate reconstruction of market activity.
22. The system (100) as claimed in claim 12, said replay orchestrator (160) configured to adjust playback rate using a variable-speed factor while maintaining deterministic ordering based on event timing.
23. The system (100) as claimed in claim 12, said visualisation interface (180) configured to provide at least one user control selected from pause, resume, seek, or variable -speed playback.
24. A method (200) for real-time video streaming of global financial market data, said method (200) comprising the following steps:• acquiring, by a data acquisition module (102), real-time financial market or financial instruments data from one or more financial exchanges or financial data providers;• processing, by a data processing module (104), said acquired financial market data to generate processed financial information;• generating, by a content generation module (110), multimedia content;• generating, by a broadcast-preparation module (130), a polished video content for delivery to one or more distribution channels;• presenting, by an application module (140), through said distribution channels real-time video content to users, receiving user preferences, and enabling interactive access to selected said financial markets or financial instruments; and• continuously, by said system (100), updates said video content within said application module (140) in response to changes in said financial market data while maintaining low-latency end-to-end content delivery.