4. Ecological application scenarios
As a decentralized execution infrastructure for strategy builders and liquidity providers, the BAT protocol was designed to create a reusable, scalable, and composable financial execution platform. Leveraging a behavioral incentive system and cross-layer system architecture based on the PoLW consensus, BAT dynamically integrates transaction intent, execution paths, and capital flows, substantially improving the efficiency and execution certainty of on-chain trading strategies and providing a unified foundation for building a high-performance DeFi application ecosystem.
Under this new paradigm, BAT exhibits strong generalization and infrastructure characteristics, and can be widely adapted to the following typical scenarios:
High-frequency, low-slippage strategy trading execution;
Asset routing under multi-chain shard liquidity integration;
A structured strategy issuance platform that requires support from incentive and performance evaluation mechanisms;
Smart execution components in aggregated protocols;
The compound interest channel of income under long-term behavior binding, etc.
Also benefiting from the underlying ability to model verifiable behavioral trajectories and the modular integration of upper-level strategy expression and routing modules, BAT is gradually evolving into an open platform of "transaction infrastructure as a service". Its core role is to improve the stability and liquidity stickiness of the on-chain execution path and provide a sustainable user behavior incentive mechanism for the upper-level protocol.
In the actual deployment process, BAT has taken the lead in the underlying platform for strategy issuers and structured product developers - the BAT asset issuance platform, starting from the user interaction end and the strategy construction end to build the most representative functions and product paths in the BAT ecosystem.
4.1 Multi-sector aggregation platform for on-chain assets
BAT is a multi-sector platform built around on-chain asset acquisition, trading, and allocation, dedicated to providing users with efficient, secure, and sustainable access to asset participation. Based on a virtuous cycle of "acquisition-trading-accumulation-capacity expansion," the platform builds on its foundational infrastructure of on-chain trading terminals, asset issuance centers, and derivatives markets. On this foundation, it gradually introduces underlying capabilities such as data profiling, incentive mechanisms, and performance-based systems to continuously enhance the ecosystem's carrying capacity and user experience.
4.1.1 Core Segment Composition
1. On-chain trading terminal
BAT's on-chain trading terminal is designed to provide strategic traders, professional users, and asset management teams with a high-performance, low-risk, and fully functional on-chain trading environment. The terminal offers systematic capabilities in order diversity, efficient execution paths, and risk management, striving to bring a CEX-level trading experience to the blockchain.
The BAT terminal has built-in conditional order types such as limit orders, take-profit/stop-loss orders, OCO (one-or-cancel), and has further expanded to advanced strategies such as batch cancellation, IOC (immediate execution or cancellation)/FOK (all orders executed or canceled), and iceberg orders to meet the needs of institutional users and high-frequency strategy execution.
The system terminal is equipped with an intelligent routing system that automatically conducts dynamic price search and matching across multiple chains and pools, giving priority to the solution with the best net transaction quality rather than relying solely on surface quotes, effectively reducing slippage and hidden transaction costs.
At the infrastructure level, the terminal deploys direct connections to multiple chain nodes, combined with a transaction priority packaging mechanism to achieve sub-second command response. Failed transactions trigger rapid rollback logic to ensure strategy continuity and fund security. Furthermore, the system incorporates a full-chain risk control framework that detects LP locks, identifies permission structures, and implements blacklist and honeypot rule interception. It then uses real-time metrics to determine whether to allow an order.
To further enhance strategy visibility, the terminal also integrates an intelligence assistance system that can display data such as capital heat distribution, impact probability, historical capital rhythm, etc. at the K-line and market level to support users in judging market rhythm and trading intentions.
2. Asset Issuance Center (Strictly Selected Launchpad)
As the original asset entry module of the BAT platform, the Asset Issuance Center has built a standardized and rigorous issuance mechanism, striving to improve the compliance, transparency and online efficiency of on-chain projects, and provide users with a verifiable, executable and exitable early participation path.
During the asset review process, the system incorporates standardized scanning logic into factors such as contract permissions, token tax rates, blacklist functions, LP lock-up status, and circulation concentration to generate a risk rating report. This report not only serves as a guide for user decision-making but also serves as a foundation for project compliance output.
During the issuance phase, the platform supports a variety of paths, including traditional fair launches, public offering curves, Dutch auctions, and whitelist quota management, supplemented by bot protection strategies to enhance the participant experience and data fairness. The BAT issuance center is highly integrated with the trading terminal. Once a project completes fundraising, it automatically triggers processes such as liquidity injection, order book listing, and market chart synchronization, creating a one-stop closed loop from "issuance-listing-trading." This mechanism significantly reduces the operational and operational barriers for both project owners and users, and enhances the quality of on-chain assets through pre-set risk control parameters.
3. US stock synthetic derivatives market (under planning)
BAT is planning to launch a synthetic derivatives market for U.S. stocks, aiming to introduce on-chain mapping products of mainstream traditional financial assets, build richer asset allocation paths and strategy combination tools for crypto-native users, and promote the on-chain financial market to evolve towards diversification and institutionalization.
The system will support mainstream US stocks (such as Apple, Nvidia, and Tesla) as well as thematic basket assets (such as the AI chip index and the consumer tech sector). Relying on a multi-source oracle mechanism to provide price feeds, the system ensures accurate and robust asset pricing. The platform will offer perpetual contracts and periodic settlement contracts, supporting margin trading, leverage configuration, and inter-period arbitrage strategies, as well as supporting the construction of hedging portfolios and risk-neutral strategies.
To ensure consistent operational experience and risk control, the derivatives system will be deployed alongside the BAT main trading terminal, sharing the same account system, fund management logic, and risk control engine. Users can manage both on-chain spot assets and synthetic derivatives exposure within the same account, improving capital utilization and trading efficiency.
Through this module, BAT will further break through the boundaries between on-chain transactions and traditional asset markets, providing users with more complete asset acquisition and management capabilities.
4.1.2 Data and Image System
Over the course of their long-term operations, the BAT platforms have systematically structured user behavior, transaction characteristics, and fund usage, creating a three-dimensional portrait system encompassing users, targets, and funds. This system not only serves the platform's internal risk control and strategy recommendation mechanisms but also provides a critical foundation for future strategy issuance, user tiered operations, and modular ecosystem expansion.
User-level: The system collects and analyzes users' trading frequency, slippage tolerance, preferred asset types, position holding and rebalancing rhythms, order timeliness, and historical risk tolerance. Through cluster analysis and label-based modeling, it generates user profiles that can be used for strategy recommendations, incentive stratification, and risk control warnings.
At the asset level: Based on on-chain transaction data, the platform will dynamically model various asset classes based on historical volatility, transaction depth and stability, the impact of peak trading periods, capital inflow rhythm, and average holding win rate. This asset profile not only helps determine asset tradability and stability, but also provides data support for future portfolio construction and product design.
Funding: The platform monitors fund utilization efficiency under different strategy structures, including key indicators such as order execution rate, fund retention time, average slippage cost, and cross-asset matching success rate. By comparing backtesting with actual trading behavior, it extracts key variables that influence fund efficiency and constructs a fund utilization profile.
These three types of profiling systems are interconnected and dynamically feedback looped, serving as crucial inputs to the platform's intelligent engine. These profiling systems are not only embedded in the risk control logic of current trading and issuance processes, but will also provide critical support for the subsequent introduction of quantitative strategy markets, automated trading tools, and personalized interface configurations. Furthermore, the platform plans to open some anonymous profiling interfaces within its API for use by ecosystem strategy developers and third-party service providers, thereby promoting the collaborative evolution of the BAT multi-module ecosystem.
4.1.3 Functional System Integration and Ecological Scalability
The architectural design of the BAT platforms prioritizes efficient collaboration between modules and the continuous feedback capabilities of data systems. Through three key infrastructure components: trading terminals, asset issuance centers, and derivatives markets, the platforms establish a comprehensive path for asset acquisition, trade execution, and structure configuration. Each component is deeply integrated with the profiling system and risk engine.
The platform is highly scalable. As platform data accumulates and user tiers become more refined, functional components such as a strategy issuance market, modular trading tools, and social trading capabilities will be gradually introduced. Each new module will find an embedding point within the existing data structure and fund management logic to enhance overall operational efficiency and user experience. While ensuring security and performance, the ecosystem will continue to be optimized to unleash the systemic potential of on-chain asset allocation.
On the BAT asset issuance and trading platform, we will further expand the boundaries of the ecosystem, launch diversified application scenarios, and work with global developers to jointly build an open, prosperous and sustainable ecosystem.
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