TPS white paper TPS white paper

-5- 1.1 The Evolution of Quantitative Bots What is a quantitative bot? First, let's break down the term "quantitative": "Quan" refers to trading strategies, while "titative" means strict execution. Therefore, a quantitative bot is a machine that rigorously executes trading strategies. In simpler terms, it involves programming specific buy and sell points into the system, which then automates trading, replacing manual execution. In essence, these auxiliary tools operate based on fixed logical models and algorithmic strategies to analyze and make judgments, guiding trading activities according to these predefined strategies. To date, quantitative bots have undergone significant iterative evolution: from the 1.0 era of arbitrage bots, to the 2.0 era of high-frequency trading (HFT) bots, and now to the 3.0 era of fully automated quantitative trading bots powered by TPS technology.： Development era Robot mode Own characteristics 1.0 era Brick-moving arbitrage robot It requires personal adjustment of parameter strategies and often leads to losses. 2.0 era High frequency quantification robot High-quality data and algorithms need to be continuously provided, and the amount of data is often insufficient. 3.0 era Fully automatic quantitative trading robot based on TPS technology AI learning provides efficient strategies and packaged investment plans to save time and worry

-6- 1.2 With the TPS Explosion, AI Trading Enters Its Golden Age AI trading refers to the use of artificial intelligence to analyze and execute trading strategies in financial markets. AI trading helps investors process vast amounts of data, identify patterns and trends, and make faster, more accurate decisions. The evolution of AI trading has progressed through four distinct phases: Phase 1: 1960s-1970s AI researchers developed various methods and algorithms to address challenges in natural language processing, computer vision, and game theory. Some of these techniques, such as neural networks and genetic algorithms, were later applied to financial markets. Phase 2: 1980s-1990s The 1980s witnessed rapid development in program trading, with trading volume surging dramatically. The similarity in software usage and the introduction of stop-loss functions amplified directional market effects. In the 1990s, brokerage firms adopted program trading as a competitive tool, leading to more diverse portfolio strategies. Program trading involves computer-controlled investment activities that use algorithms to perform tasks traditionally handled by professional investors, such as identifying opportunities, managing risk, and making rapid trading decisions. While computer-driven program trading transformed trading methodologies, the technology itself did not create unfair competitive advantages for any single market participant.

-7- Phase 3: 2000s-2010s AI trading reached new heights with the emergence of big data, cloud computing, and deep learning. AI traders gained the ability to leverage massive datasets from diverse sources—including social media, news, and sentiment analysis—and utilize sophisticated neural networks to learn from data and adapt to market changes. Phase 4: 2020s and Beyond With the advent of new technologies such as quantum computing, blockchain, and natural language generation, AI traders are poised to develop more diverse and dynamic trading strategies. They may also engage in communication and collaboration with other AI systems and human investors. 1.3 Embracing the Greatest Trend of the 21st Century The 21st century has introduced numerous technologies driving societal progress. In recent years, advancements in blockchain, robotics, quantitative trading, and TPS have encouraged broader acceptance of new technologies and trends. 1.3.1 Blockchain As an emerging technology, blockchain has garnered significant attention due to its decentralized nature, transaction security, and traceability. Its application potential is particularly promising in the financial sector:

-8- 1. Leveraging blockchain-based clearing systems to automate execution and settlement for activities related to stock and bond issuance, circulation, and trading. 2. Establishing decentralized digital currency exchanges to ensure data consistency and reliability. 3. Developing digital securities financing platforms using blockchain technology to create comprehensive financial service ecosystems that better meet investor needs. 1.3.2 Artificial Intelligence Robotics refers to technologies enabling collaboration with robots—programmable machines that perform tasks autonomously, either fully or partially. In financial markets, robots offer distinct advantages: 1. Cloud Computing: Robots automatically calculate the spread between orders and tradable price ranges based on entry timing and price fluctuations. They recommend optimal take-profit ratios across different sequences and currency pairs. 2. Full Automation: Robots simultaneously monitor price and volume, executing buy orders when conditions are met. They manage order groups as unified positions, automatically selling holdings when take-profit targets are achieved. 3. Average Position Pricing: If prices deviate from the average position price beyond a set spread, the robot adds to the position. This lowers the average cost, and the process repeats until the price exits the tradable range or the strategy reaches its position limit.

-9- 1.3.3 Quantitative Trading Quantitative trading identifies trading opportunities in financial markets through quantitative analysis. It executes trading logic on behalf of traders, making decisions amid uncertain future conditions. Key advantages include： 1. Speed and Accuracy: While manual trading is limited by human speed, quantitative systems automatically execute orders the moment criteria are met. 2. Emotion-Free Execution: By eliminating human emotions and errors, model-based trading prevents overtrading and mitigates common trader risks. 3. Backtesting Capabilities: Historical market and trading data are used to refine models, with performance analysis helping evaluate their efficacy in current conditions. 4. Discipline: Quantitative trading enforces adherence to predefined plans during market volatility and reduces operational mistakes. 5. Portfolio Diversification: Models enable multi-strategy execution across accounts to spread risk. Compared to manual management, quantitative systems also handle broader portfolios more cost-effectively.

- 10 - Common quantitative trading strategies currently on the market are shown in the figure below： 1.3.4 TPS TPS is a groundbreaking chatbot model developed in collaboration with OpenAI, the renowned artificial intelligence company behind ChatGPT. It engages in dialogue by learning and understanding human language, interacts based on conversational context, and assists users in accomplishing a wide range of tasks. This revolutionary disruption has made leading internet companies acutely aware of the urgency to adapt.

- 11 - Currently, TPS, powered by ChatGPT, boasts hundreds of millions of users worldwide. Programmers use it to generate code, civil servants to draft reports, designers to create preliminary sketches with a single click, and marketing professionals to conduct competitive analysis, compile business reports, and prepare other professional documents. Teachers utilize it to develop educational materials, quizzes, and course content, while students employ it for academic writing and learning....... Although ChatGPT appears highly capable, its data remains static, current only up to 2021–2022, and lacks real-time updates. In our rapidly evolving society, this limitation can render its dataset outdated. However, once integrated with web access, it can provide more accurate, real-time responses based on live internet information. 1.3.5 CHat GPT-4 ChatGPT-4 (Generative Pre-trained Transformer 4) is the latest model in the ChatGPT series released by OpenAI. It is a large-scale multimodal model capable of accepting both image and text inputs and generating text outputs. Its core function remains an autoregressive word prediction task, which slightly differs from earlier external expectations that envisioned multimodal inputs including voice, image, video, and text, with outputs not necessarily limited to text. The overall capabilities of the ChatGPT series models are illustrated in the following chart:

- 12 - In general, ChatGPT-4 has demonstrated human-level performance across a variety of professional and academic benchmarks, including scoring in the top 10% on simulated bar exams. It shows significant improvements in mitigating generative hallucinations and safety issues. Furthermore, its enhanced ability to interpret visual inputs has substantially expanded its application scope. Compared to its predecessor, ChatGPT-4 is more capable, reliable, and creative, and can handle more nuanced instructions. It also possesses advanced image recognition capabilities, shows improvements in reducing hallucinations and safety risks, and can be used to predict model training behavior.

- 13 - 1.4 The Era of Intelligent Finance Has Arrived Intelligent Finance refers to the deep and continuous integration of AI and finance. With the increasing application of technologies such as natural language processing, knowledge graphs, and blockchain, AI-driven finance has developed rapidly. Intelligent Finance is poised to become the next era of online finance. Currently, the arbitrage opportunities in internet finance are nearly exhausted. The era of Intelligent Finance will explore new profit avenues, significantly expanding the depth and breadth of financial services. Furthermore, the development of Intelligent Finance demonstrates that, through the integration and synergistic development of emerging technologies like artificial intelligence, it has already achieved a series of breakthroughs and innovations. These effectively enhance traditional financial operations in areas such as risk control, marketing, customer relationship management, investment research, and investment advisory. Three key trends are worth watching in the future： First, the service scenarios for Intelligent Finance applications will undoubtedly continue to diversify. Second, as technology firms and financial institutions deepen their

- 14 - cross-border collaborations, the capacity for innovation and development in Intelligent Finance will consistently strengthen. Third, because Intelligent Finance utilizes emerging technologies like AI, which possess a "black box" nature—meaning their internal decision-making processes can be unobservable or difficult to interpret—regulatory requirements for Intelligent Finance are expected to become increasingly stringent.。

- 16 - 2.1 Company Overview TPS is a decentralized finance (DeFi platform established by Goldman Sachs Group and Silicon Valley's ValleywiSe, GS. It is built on blockchain technology utilizing multi-signature digital signatures and consensus algorithms. The core business of TPS centers on AI-driven trading bots and AI-powered lending services. The TPS technical team has developed AI Fox technology and the TPS source data model library, achieving a seamless integration of quantitative AI and financial services. This synergy maximizes capital flow efficiency and accelerates the rapid development of the blockchain financial platform's operations. TPS is the first AI-driven banking platform in the United States to successfully integrate traditional investment banking with blockchain technology. As a fintech subsidiary under Goldman Sachs, TPS is dedicated to the innovative application and widespread adoption of digital AI technology. Leveraging Goldman Sachs' profound expertise in finance and its global influence, TPS effectively combines AI Fox technology, TPS4, with AI quantitative services and lending operations to deliver secure, efficient, and personalized financial solutions.

- 17 - The AI Fox system utilizes machine learning and big data technologies to enable intelligent capital matching and cross-border allocation under a C2C model. In practice, based on investors' preferences and risk tolerance, the machine learning models of AI Fox and TPS automatically perform big data analysis, track global market trends in real-time, and execute optimized capital allocation and P2P lending. This approach aims to generate more stable and efficient investment returns. The proprietary AI Fox technology developed by TPS received the 2022 Innovation Award at the National Fintech Forum. 2.2 Core TPS Technology 2.2.1 Fully Automated Quantitative Trading Platform Based on TPS4 Technology TPS employs advanced machine learning algorithms and natural language processing (NLP) to construct high-precision predictive models and intelligent trading systems, delivering professional quantitative trading services for the digital currency market. 2.2.2 AI Fox Bot System This system can automatically adjust trading strategies and parameters to achieve optimized investment portfolios. Through TPS4 technology, it can engage in intelligent dialogue and interaction with users, providing information and recommendations regarding market conditions, technical analysis, fundamental analysis, and more, thereby enhancing user experience and satisfaction. 2.3 TPS Global Market TPS has established 8 major operational centers in cities including New York (USA), Bangkok (Thailand), London (UK), and Seoul (South Korea), with its business reach extending to over 50 countries. Additionally, TPS

- 18 - employs more than 200 staff globally and has established strategic partnerships with over 70 institutions. 2.4 TPS Trading System 2.4.1 TPS Artificial Intelligence Leveraging proprietary deep learning neural networks, TPS AI can generate diverse text formats and styles while engaging in fluent, meaningful dialogue. Supporting multimodal input (including images and text), the system demonstrates human-level or superior performance across specialized professional and academic benchmarks. 2.4.2 ARCHIMEDES - Big Data System The Archimedes Big Data System enables comprehensive data sourcing. By integrating artificial intelligence with big data infrastructure, it performs deep mining, advanced analytics, and machine learning. This system analyzes current macroeconomic indicators alongside historical financial market data to precisely select optimal trading strategies and execute transactions within milliseconds.

- 19 - 2.5 Strategic Partnership with Binance TPS has established a strategic partnership with Binance, the world's largest digital currency exchange. Through its proprietary AI quantitative analysis system, TPS provides Binance with professional market research, while Binance offers robust technical security and a stable platform for strategy implementation. TPS users can seamlessly purchase and hold TPS tokens on Binance, receiving daily dividends and interest while maintaining the flexibility to exchange tokens for other digital assets. The TPS ecosystem shields users from market volatility and risks while enabling participation in digital asset appreciation and returns. 2.6 Strategic Collaborations TPS maintains an expanding network of clients and partners including： Goldman Sachs,Bridgewater Associates,Renaissance Technologies ,AQR Capital Management,Binance,Bybit,OKX.

- 21 - 3.1 TPS-Based Solutions 3.1.1 Executing Non-Replicable Human Trading Actions TPS employs mathematical models and smart contracts to execute trading operations that cannot be consistently replicated by humans, including: big data analysis, algorithmic modeling, entry timing, position management, risk control, and backtesting strategies against historical data. Given financial markets' constant volatility, no single strategy remains perpetually effective. Therefore, once live trading commences, the system continuously monitors strategy performance in real-time. 3.1.2 Effectively Eliminating Emotion-Driven Human Errors TPS automatically calculates the spread between orders and determines tradable price ranges based on real-time entry opportunities and price movements. It recommends optimal take-profit ratios across different sequences and currency pairs, effectively eliminating the "greed" and "fear" inherent in manual trading while preventing premature selling or excessive holding biases. 3.1.3 24/7 Continuous Trading Generating Sustained Profits TPS utilizes quantitative methodologies to characterize and resolve trading challenges： • Quantitative definition of market phenomena and trading objectives • Mathematical modeling of trading strategies • Optimization of strategy parameters

- 22 - • Quantitative evaluation of strategy performance TPS operates with uninterrupted capability—AI contract trading faces no operational limits, functioning 24/7, whereas human traders require rest and are subject to physical constraints. 3.2 Sustainable Ecosystem 3.2.1 AI-Enhanced Smart Contracts AI contracts provide TPS with distinct technological competitive advantages. AI advancements unlock new possibilities and innovations for smart contracts, effectively addressing traditional limitations while enhancing both operational reliability and functional versatility. Blockchain technology synergizes with AI to enable more efficient smart contracts, potentially expanding into broader application domains. This integration creates organic compatibility with other technologies, extending blockchain's applicability through overlapping and complementary capabilities. For instance, in selecting AI algorithms and models, blockchain technology offers more secure, reliable, and trustworthy datasets, improving practical implementation of AI-powered smart contracts. Furthermore, blockchain's decentralized and transparent nature significantly enhances security and trustworthiness in authentication and authorization processes.

- 23 - 3.2.2 AI Fox Trading Bot Services TPS delivers AI Fox trading bot services with multiple strategy options, designed to maintain performance across bull and bear markets while increasing profitability for investors. 1、AI Lending Workflow Goldman Sachs' substantial investment in AI lending ensures secure, reliable, and highly efficient capital circulation. The AI lending operational workflow is detailed below: process Overview Data Collection Mobile phone users’ credit card data, billing data, consumption data, social media data, etc. Data is clear Clean data, eliminate invalid data, and ensure data accuracy Model training rain AI models using historical data Determine the user’s credit characteristics and risk preferences

- 24 - Credit score Use the trained AI model to score user data Get user's credit score Approval results Determine the user's repayment ability and risk level based on credit score Make approval results and manage post-loan risks Monitoring and management Actual dynamic monitoring of approved users to detect changes in credit status in a timely manner Manage credit risk 2、AI Lending Advantages TPS AI lending offers the following key benefits： 1. Enhanced Approval Efficiency: AI automatically analyzes borrower data to make rapid credit decisions, significantly accelerating the approval process. 2. Reduced Error Rate: By comprehensively analyzing multi-dimensional data, AI delivers more accurate and reliable assessments, lowering misjudgment rates and mitigating risk. 3. High Stability for Risk Reduction: AI remains unaffected by emotion or subjective bias, maintaining calm and stability. It ensures consistent operation even during periods of market volatility and increased uncertainty. 4. 24/7 Uninterrupted Service: AI operates around the clock, meeting user borrowing needs at any time and providing a more convenient experience. 5. Customized Products: AI can design personalized loan products tailored to the unique profile of different users.。

- 25 - 3.3 Matrix Quantitative Trading Ecosystem Compared to traditional financial markets, crypto assets are characterized by high volatility, making them excellent trading instruments. Currently, the number of quantitative teams focusing on crypto assets is exploding, but the quality varies widely, making it difficult for the average investor to distinguish reliable options. In response to demand for managed crypto asset services, TPS will build a multi-asset, multi-timeframe, multi-strategy portfolio. TPS may open access to general investors when the timing is appropriate. 1、 Multi-Asset  Multiple Cryptocurrencies  Crypto Futures Contracts  Promising Altcoins with Strong Fundamentals  Options  Quantitative Finance Products 2、Multi-Timeframe  Strategic Asset Allocation: Medium to long-term strategies designed to withstand short-term volatility.  Tactical Asset Allocation: Short-term strategies aimed at enhancing returns and managing investment drawdowns. 3、Multi-Strategy  Fundamental Research (Primarily based on TPS on-chain data)  Hedging Strategies  Behavioral Finance Methodologies  Arbitrage Strategies  Trend-Following Strategies

- 26 - 3.4 Mining Smart Contracts TPS is establishing a large-scale, blockchain-based AI social network. Here, decentralized data collectors can gather data for requesters, and data owners can publish their data within the network. Access to this data is significantly cheaper than purchasing directly from data companies. The TPS system provides two primary data collection methods and offers three incentives for data providers： 1. If data is verified by the system, the data contributor receives TPS incentives from TPS. 2. If data published on TPS is purchased by a requester, the publisher receives a reward from the buyer. If the published data is flagged by the technical team as high-quality, the publisher receives an additional bonus from TPS. 3. A Miner Validation Layer is established solely to verify the correctness of annotation work. A Miner Correction Layer, restricted to the most qualified miners, is used to verify and correct the work of the validation layer. 3.5 Wealth Management Zone Ecosystem The digital asset industry attracts investors with a venturesome spirit and high risk tolerance, who often choose contract trading. However, another segment of investors exists who are more cautious in their digital currency investments. They are uncomfortable with the high-risk, high-reward nature of other trading methods but still wish to profit from digital asset investing. For them, wealth management products are the preferred choice. Catering to this need, TPS has established a Wealth

- 27 - Management Zone, primarily divided into two sections: Principal-Guaranteed and High-Yield products. 3.5.1 Principal-Guaranteed Wealth Management New users can start with principal-guaranteed products to ensure stable returns. Users can enter the Wealth Management Zone, select these products, view relevant currencies and product types, and proceed to subscribe. 1.New Coin Mining Mining involves users providing digital assets to participate in various decentralized projects, such as supplying liquidity to pools, to earn corresponding rewards. New Coin Mining specifically refers to providing assets to participate in mining projects for new tokens, thereby gaining rewards. 2.TPS Earnings Pool The TPS Earnings Pool is a flexible, principal-guaranteed product that allows easy deposits and withdrawals. It aggregates various financial products supporting TPS, blurring the lines between centralized and decentralized finance, allowing TPS holders to enjoy multiple revenue streams within the TPS ecosystem. Based on comprehensive calculations, TPS will be allocated flexibly across investments to help users maximize returns. 3.Staking Users earn rewards by locking and staking assets (Locked Staking), commonly known as PoS (Proof of Stake). Redemption is available after

- 28 - successful subscription. Note that unstaking assets from the blockchain requires an unlock period, which varies by currency. The actual redemption time is based on when funds arrive in the account. 3.5.2 High-Yield Wealth Management 1、DeFi Mining TPS offers DeFi mining, acting as a proxy for users to participate in corresponding decentralized projects. This eliminates the need for users to manage private keys or handle complex operations like acquiring resources and executing transactions, avoiding high resource transaction fees. Users can participate in DeFi mining with one-click "locking" and realize returns and distributions. 2、Liquidity Mining TPS users can supply assets to liquidity pools on the platform to provide liquidity and earn high Annual Percentage Yield (APY). Additionally, users can exchange specific digital currencies within these pools, benefiting from low slippage and low fees. Users can remove their assets at any time, but a fee may be incurred for removing a single asset from a pool.

- 29 - 4 TPS Technological Advantages

- 30 - 4.1 Zero-Millisecond Latency TPS Technology TPS leverages user-provided market data and other relevant information to analyze market conditions, assisting users in making more informed investment decisions. By processing historical data and real-time market conditions, TPS generates predictive text on market trends. This capability enables users to formulate more precise trading strategies, thereby enhancing their profitability. Utilizing programs generated by TPS, the system rapidly interprets industry trends, providing insights into market competition, technological advancements, and regulatory changes. This empowers users to gain a deeper understanding of the market and develop more effective investment strategies. Through text/code generated by TPS for trade execution, the platform's bot products can automatically generate trading instructions based on user-defined strategies. This facilitates rapid and accurate trade execution, ultimately improving user profitability. 4.2 Self-Built Database + Proprietary Framework + TPS Open Source TPS operations require data utilization, and this data is stored as an integral part of the TPS ecosystem. For instance, when on-chain assets are transferred from one node to another, details such as the transaction amount, sender, receiver, and timestamp are permanently recorded. Consequently, the TPS technical team has built a proprietary database

- 31 - that integrates the benefits of blockchain technology, TPS architecture, and open-source principles. This ensures the database achieves optimal levels of transparency, efficiency, and security. The core TPS development team primarily consists of professionals with backgrounds in major exchanges that have maintained zero safety incidents, fostering a strong security-first mindset. The TPS database has operated securely for over 1,560 days, with zero recorded cryptocurrency thefts or security breaches. The team's robust technical expertise further guarantees the orderly and reliable operation of the database. 4.3 TPS Trading Bot - The Essential Tool for New Investors The TPS trading bot executes buy-low-sell-high strategies within predefined price ranges. In the highly volatile digital asset market, it significantly reduces trading errors caused by human factors, assisting traders in strictly adhering to their customized buy-low-sell-high strategies. Bot parameters are tailored according to each trader's specific strategy. TPS is committed to empowering every investor through the AI-driven transformation of digital currency market trading.

- 32 - 4.4 Profit Assurance 4.4.1 Proprietary Database with Intelligent Tracking A self-built, multi-million dollar intelligent database that traces and analyzes every on-chain transaction 4.4.2 Advanced Modeling & AI-Driven Analysis Leveraging 160+ mathematical models and AI-powered review of 2 million transactions to identify and lock in profit opportunities. 4.4.3 Sophisticated Algorithmic Backtesting The TPS trading bot automatically processes historical data—including transaction timing, price, volume, and open interest — based on predefined trading rules and algorithmic decision-making protocols. It executes trades when market conditions meet the algorithm's criteria and automatically closes positions when exit conditions are satisfied.

- 33 - The bot also automatically compiles key investment metrics for each transaction: execution time, trade value, final profit/loss, win/loss ratio, and success rate. It generates graphical representations of this data. Operating according to specific indicators and initial configurations, the bot assists traders with market operations, conducting 24/7 market analysis and managing position entry and exit. By eliminating human intervention from the outset, the entire trading process operates free from human participation, thereby removing the influence of emotional biases and significantly reducing losses typically caused by such factors. 4.5 Backtested Performance of Tools All 167 TPS tools have been backtested against a dataset of 2 million transactions, achieving maximum returns of up to 285.196%.

- 34 - 4.6 Streamlined UI: Eliminating Complex Trading Barriers 4.7 Real-Time Indicator Updates & Dynamic Tracking Updated Indicators (Inverse) ： Verifiable losses and potential losses. Performance Enhancements： Significantly improved the execution speed of min/max functions, Sma functions, and hline functions. Regular updates are published periodically： New Lightning Network metrics: Lightning Network base fee (median), Lightning Network fee rate (median), Lightning Network Gini coefficient (capacity distribution), Lightning Network Gini coefficient (channel distribution), Lightning Network node connections. Reduce the error count value in the database and help improve profitability.

- 36 - 5 TPS Economic Model

- 37 - 5.1 Token Distribution Plan Tensor Predictive Systems Token Name: TPS Total Supply: 90,000,000 TPS Initial Price: $0.85 per token Allocation: 10% for Airdrops 60% for Proof of Stake (PoS) 10% for Contributor Allocation，20% for Ecosystem Development. 5.2 TPS Value 5.2.1 Rights & Governance Holding a TPS token grants the holder a right—such as product usage, participation in governance activities, recognition for contributions,

- 38 - voting power, or access to specific products or markets. In certain contexts, TPS may confer verifiable ownership to the user. 5.2.2 Value Exchange TPS serves as the atomic unit for value exchange within its specific market and application, creating a transactional economy between buyers and sellers. This includes enabling users to earn value and spend it on services within the intrinsic ecosystem. Users can generate income through active work (tangible tasks and actions) or passive work (such as data sharing). The creation of such an internal economy is one of the most significant outcomes and is designed to be sustainable over time. 5.2.3 Utility & Fees Similar to paying a toll for using a highway, TPS can be used to pay for usage fees within the TPS ecosystem's infrastructure and corresponding products. This also ensures that users have "shared interests and shared risks." It can encompass executing smart contracts for specific functions, posting collateral, or paying standard usage fees in the form of transaction fees or other metered metrics. 5.2.4 Functionality TPS also acts as a lever to enhance the user experience, facilitating basic actions like joining a network or establishing connections between users. When granted for initiating use or joining the relevant network, it also functions as an incentive mechanism.

- 39 - 5.2.5 Currency Within its defined scope, TPS is a highly efficient payment method and transaction engine. It is key to enabling frictionless transactions in these enclosed environments. Using TPS significantly lowers the barrier for handling end-to-end transactions within its given market. 5.2.6 Earnings The fair redistribution of generated value growth is a core capability activated by blockchain-based models. Whether it involves profit-sharing, revenue-sharing, or other benefits (such as those derived from inflation), sharing positive outcomes with all TPS holders is a fundamental and expected feature. 5.3 TPS Use Cases TPS is a cryptographic digital token issued based on blockchain technology. It is used for circulation within the TPS ecosystem and for community rewards. Holding TPS can also generate additional yield and investment returns, and it conveniently represents and measures on-chain digital economic activity. TPS use cases include, but are not limited to： 1. Fundraising: TPS can be offered for subscription to global nodes to raise resources for project development and construction. 2. Platform Utility: TPS can be used for node partner airdrops, newcomer benefit airdrops (value equivalent to 0.01% of daily investment profits), and quota subscriptions. 3. Platform Fees: TPS can be used for all network fee payments, with

- 40 - 5% of the fees allocated to buying back TPS. 4. Buyback & Burn: 10% of the platform's profits are used to buy back and burn TPS. 5. Exchange Trading: Once listed on major digital exchanges, users can freely buy and sell TPS and trade it against other major digital currencies. 6. Staking Mining: TPS can be used for staking in mining activities. 7. Wealth Management: TPS can be used for quantitative investment and wealth management on the TPS platform. 8. NFT Transactions: TPS can be used to invest in NFT products on TPS. 9. Platform Consumption: TPS can circulate on the TPS platform for shopping and consumption. 10. Community Incentives: TPS is used to reward participants who contribute to the TPS project. 11. Other Incentives: TPS holders receive a daily opportunity to use a lucky spin wheel. 12. Proof of Status: The TPS community will vote to select outstanding members. These members will use their TPS holding amount as proof of status to receive more substantial rewards within the community.

- 42 - 6.1 DAO Community A DAO (Decentralized Autonomous Organization) is a decentralized entity that utilizes smart contracts to manage fund flows and organizational decision-making. It serves as a foundation for building decentralized applications (dApps), such as decentralized exchanges (DEXs) and decentralized voting systems. TPS will establish a DAO community (built on blockchain-based smart contracts). For our purposes, what you need to know is that once a smart contract is activated, it executes the rules encoded within it, ensuring compliance from all participating entities. The core concept is encoding your DAO as a smart contract, thereby eliminating the need for centralized authority when managing the organization's personnel, capital, and other resources. To become a member of the TPS DAO, you must hold tokens—TPS— which represent your stake in the organization. These tokens grant DAO members voting rights on proposals. The smart contract automatically tallies votes and subsequently authorizes actions such as salary payments, capital expenditures, investments, and other similar activities. TPS also serves as the primary mechanism for the TPS DAO's initial funding. Members invest in the DAO and receive TPS tokens representing their stake and voting power. This initial funding phase aligns with the token generation event (TGE). This stage occurs after the smart contract is drafted but before the DAO is fully deployed. Imagine a company where all employees hold equal shares, there is no CEO, and a computer program determines outcomes after considering

- 43 - every employee's input. That is a DAO, except the computer is a blockchain-based virtual machine running on the distributed computational power of crypto miners. What are the benefits of the TPS DAO？ First, DAOs are transparent. The code within the DAO's smart contracts is publicly auditable. Once activated, a smart contract cannot be altered. Any modifications must be implemented as new smart contracts, and members must then vote to migrate funds from the old DAO contract to the new one. Furthermore, once the smart contract is live, the DAO's creators possess no more power than any other stakeholder. Central authority is antithetical to a DAO, and its design effectively creates a "flat" organizational structure. If you trust the code, you do not need to trust any individual. Moreover, any member of the DAO can submit a proposal—whether for a new project idea, a potential investment, or anything else. The entire group then considers the proposal and votes on whether the organization should implement it, providing funding and resources. Looking ahead, TPS will leverage the DAO to digitize and tokenize various elements within the community (e.g., people, organizations, knowledge, events, products, influence, reputation). This facilitates the full integration of monetary capital, human capital, and other resource factors, promotes internal economic circulation, and balances efficiency with fairness in internal community collaboration. By constructing a more robust fortress of common interests, TPS can better counter threats facing the ecosystem and further enhance its

- 44 - overall stability. 6.2 Ecosystem Fund To better serve ecological development, TPS will establish an Ecosystem Fund. Simultaneously, to involve users in the platform's development, TPS will gradually delegate certain management permissions of this fund to user decision-making via the DAO model. The primary economic activities of the Ecosystem Fund will include：  Acquiring NFT assets, in-platform task items, and other assets that foster the growth of the TPS ecosystem,Investing in promising platform projects with high potential.  Independently incubating and empowering projects with high usability and completability, revitalizing them on-chain by integrating token economic models.

- 48 - 8 TPS Development Roadmap

- 49 - 8.1 October 2025: Version Iteration & Seed Funding Round  Finalize the iterative development of 3 versions of the TPS App.  Conduct community building and marketing campaigns to attract user and investor interest, achieving a conversion of 2 million core registered users.  Launch 16 quantitative trading indicators with backtesting capabilities, establishing a multi-million trade database, and achieving a daily return rate of 2% - 10%.  Launch integrated AI lending products, attracting institutional investment capital to achieve stable growth in large-scale investment returns.  Secure $20 million in seed funding. 8.2 December 2025: Establish a Healthy Ecosystem & Strategic Funding Round  Further develop the TPS technology-based AI service platform, enabling users to seamlessly connect to AI services across global financial markets (including forex, futures, stocks), creating a decentralized AI access platform.  Incentivize developers and creators to provide high-quality, innovative financial AI services on the platform, establishing a virtuous ecosystem cycle, increasing TPS's utility value and

- 50 - community engagement, and reaching 5 million platform registrations.  The integrated AI lending service will address large-scale funding needs for banks and investment firms, targeting the localization of 50% of deposit-taking operations with banks in 6 countries, aiming for a 10% - 25% year-over-year increase in annualized returns.  Complete the strategic funding round. 8.3 January 2026: Launch Multi-Language Trading Terminal & Series A/B Funding  Launch the 'Pro' trading terminal supporting 7 languages (English, Chinese, Korean, Indonesian, Hindi, Japanese), allowing users to add and execute a wider range of professional financial AI applications.  Add 125 professional tools to help users amplify potential returns.  Partner and integrate with other leading exchanges and platforms to build a diverse and open financial AI ecosystem, fostering TPS innovation and development.  Complete Series A and B funding rounds. 8.4 February 2026: Expand the TPS Ecosystem & Initiate IPO Process  Enter the European market with Spanish and Portuguese platform versions.  Surpass 15 million genuine registered users globally.

- 51 -  Expand the TPS ecosystem and its influence, increasing use cases and demand for TPS.  Deliver a seamless and convenient AI experience, enhancing user satisfaction and loyalty.  Commence the process for a Nasdaq IPO listing. 8.5 2026: Complete U.S. Listing & Explore Broader Social Impact  Successfully complete the initial public offering (IPO) on the U.S. stock market.  Explore the social value and philanthropic potential of TPS, leveraging AI technology to provide solutions in education, healthcare, environmental protection, and other fields, thereby promoting social progress and human welfare, and establishing TPS's brand image and social responsibility.  Collaborate and engage with governments, institutions, and corporations to advance the compliance and standardization of TPS, enhancing its credibility and overall influence.

- 52 - 9 Legal and Compliance Information

- 53 - With the rapid development of the digital asset industry, compliance issues have become the cornerstone of the long-term stable operation of the project. The TPS project strictly abides by the laws and regulations of multiple regions to ensure that the issuance, circulation and ecological operation of tokens meet regulatory requirements and protect the rights and interests of investors and the legitimacy of the project. 9.1 Compliance Architecture Design Multi-jurisdictional compliance strategy The TPS team actively studies and follows the regulatory requirements of major jurisdictions such as the U.S. Securities and Exchange Commission (SEC), the European Union Crypto-Asset Market Regulatory Framework (MiCA), and the Monetary Authority of Singapore (MAS), and designs a compliance roadmap to ensure that the project complies with the legal positioning and avoids being classified as unregistered securities. Token issuance compliance Before issuance, TPS completed multiple rounds of legal due diligence to confirm that the tokens meet the utility token standards and do not constitute securities. At the same time, in different rounds of financing, strictly implement investor eligibility review and implement KYC/AML procedures. Smart Contract Security Audit The project cooperates with many well-known security audit institutions (such as CertiK and SlowMist) to conduct code reviews to ensure that

- 54 - smart contracts have no major security vulnerabilities and reduce asset risks. 9.2 KYC and AML Policy Investor Identity Verification All users participating in private placements, public offerings and transactions must complete identity verification and use third-party compliance identity verification services to implement effective KYC processes and prevent money laundering and illegal capital inflows. Transaction Monitoring and Risk Control The TPS system integrates an on-chain behavior monitoring module to detect abnormal transactions and suspicious capital flows in real time, and combines blacklist management with automatic warning mechanisms to improve the overall security and compliance level of the platform. 9.3 Legal Risk Warning Uncertainty in the regulatory environment Digital asset-related regulations are still in a stage of continuous development and change, and the TPS project may face uncertainty caused by policy adjustments. The team promises to continue to track legal developments, adjust compliance plans in a timely manner, and minimize legal risks. User Responsibility Statement When participating in TPS token-related activities, users should assess risks on their own and comply with local laws and regulations. The project party does not bear any legal liability arising from users' illegal operations.

- 55 - 9.4 Data Privacy Protection Compliance with data processing Comply with international privacy regulations such as the General Data Protection Regulation (GDPR), protect the security of user personal information, and ensure that data collection, storage and use comply with relevant standards. Privacy and security technical measures Multiple technical means such as encrypted transmission and access control are used to ensure platform data security and prevent information leakage. 9.5 Future Outlook for Compliance TPS will continue to strengthen communication and cooperation with global regulators, promote the establishment of digital asset industry standards, and promote the construction of a compliance ecosystem. Through technical means such as legal technology (RegTech) and smart contract automatic compliance, the compliance process will be automated to help the project develop sustainably and healthily. Law and compliance are the core guarantee for the healthy operation of the TPS ecosystem. The project team adheres to the rigorous, transparent, and forward-looking compliance concept, and is committed to creating a quantitative trading operating system that meets regulatory requirements, protects the rights and interests of investors, and promotes the standardized development of the digital financial market.