> For the complete documentation index, see [llms.txt](https://vizo.gitbook.io/vizo-exchange-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://vizo.gitbook.io/vizo-exchange-docs/documentation/getting-started/quickstart.md). # 1. Project Background and Vision ### Background: Prediction markets are not merely an "upgrade to betting." They are an institutional attempt to aggregate information dispersed among individuals using price mechanisms. The intellectual roots trace back to classical market theory and modern information economics: when participants trade on future outcomes with skin in the game, prices endogenously reflect the group's consensus on probability, often outperforming incentivized voting or surveys. **In practice, academic and commercial paths have evolved in parallel:** * Academic Experiments: Have proven the validity of "priced voting" (where prices are interpreted as occurrence probabilities), demonstrating robust calibration and timeliness in scenarios like macro indicators, elections, and sports. * Commercialization Attempts: Continue to explore the boundaries of "sustainable operations": how to define tradable outcomes, form reliable chains of evidence, control manipulation and moral hazard, and navigate compliance across different jurisdictions. **The wave of digitization has pushed this "mechanism design" into a new stage:** 1. Internet & Mobile: Drastically reduced participation and matching costs, moving prediction markets from small research trials to mass adoption. 2. Blockchain & Smart Contracts: Made fund custody, rule execution, and settlement public and automated, solving the core doubt of "Can I trust the platform?" 3. Oracles & Data Infrastructure: Enabled on-chain contracts to reference real-world evidence in a standardized way. 4. Modern Identity & Account Abstraction (AA): (e.g., Gas-free, social login, MPC) Have smoothed the entry barrier, making the "Information — Trade — Settlement" loop seamless. 5. AI & Data Engineering: Transform text, news, and structured metrics into usable signals, upgrading prediction markets from "entertainment betting" to Information Pricing Infrastructure. Simultaneously, global regulators are increasingly distinguishing between two types of applications: Speculative Gambling vs. Information-Aggregating Prediction. Designs centered on "verifiable evidence, replayable risk control, and governable regions/crowds" are becoming industry consensus, providing a realistic path for compliant operations across multiple jurisdictions. Therefore, the birth of prediction markets is no accident. It is the result of incentive-compatible mechanism design, low-friction digital trading, open auditable contract execution, and rapid iteration of model methods. Today's prediction markets are maturing from "fun gameplay" into new infrastructure for price discovery and decision support—serving professional users for hedging and arbitrage, while helping mass users acquire information and upgrade their cognition in an uncertain world. *** ### Vision: Transform uncertainty into prices that are accessible, calibratable, and auditable. VIZO aims to become the integrated infrastructure for "Information → Viewpoint → Trade → Settlement → Learning." * For Institutions: A tool for hedging and risk management. * For General Users: A way to access more reliable probabilities and simpler participation methods. * For Creators: A mechanism to convert cognition into verifiable market supply. * For the Market: Continuous evolution supported by transparent compliance, long-term incentives, and interpretable models. Translate content and entertainment directly into tradable probabilities and cash flow. Using "Content Financialization" and "Entertainment Financialization" as its underlying methodology, VIZO maps research on stocks, indices, and crypto assets, as well as entertainment content like sports, e-sports, variety shows, and celebrity trends, into measurable, tradable, and settlable prediction contracts and portfolio strategies. VIZO is not just a one-stop prediction platform; it builds the production relations of "Content/Entertainment → Financial Assetization" as infrastructure. It ensures every verified insight can be traded, replicated, and monetized. It allows the market to "enter easily via entertainment, and settle seriously via professional pricing," ultimately forming a cognitive network accessible to all that generates continuous cash flow. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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