> 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/basics/quickstart.md).
# 4. Core Function Settings
## 4.1 Full-Spectrum Event Coverage
VIZO constructs an "Event Universe" based on a dual axis of "Assets × Real-World Events." In terms of supply and growth strategy, however, we prioritize "Entertainment Content + Local Sports." By leveraging content forms characterized by "low entry barriers, high frequency, and strong social attributes," we drive user acquisition and activity. Through localized and highly differentiated content supply, VIZO consolidates local engagement into robust price discovery and cash flow.
### The Event Dual-Axis
**(Entertainment/Sports as the Front-end, Finance as the Foundation)**
#### **1. Real-World Event Axis (Front-end Focus)**
* **Sports**: Local leagues/cups, national team key schedules, derbies/rivalries, seasonal awards.
* **Gaming/E-sports**: Official leagues, S/A-tier tournaments, patch updates, transfer windows.
* **Entertainment & Culture**: Celebrity updates, awards seasons, variety shows/hit drama milestones, K-pop/KOL events.
* **Public Policy & Political Events**: Major issues and voting within compliant scopes.
→ Strategy: Utilize UGC Market Creation Templates and Evidence Storage to capture regional long-tail demand, achieving "Content as Market Supply."
#### **2. Financial Asset Axis (Pricing & Interpretability Foundation)**
* Stocks, Indices, Commodities, Crypto Assets, Forex, Interest Rates, and Macro Indicators.
→ Strategy: Serve as the underlying scenario for "Research and Hedging" and provide volatility/correlation references for Entertainment/Sports markets.
**"Front-end Entertainment, Back-end Financialization."** Entertainment and local sports are responsible for reach and frequency; the financial foundation is responsible for making prices and probabilities solid, stable, and interpretable.
### Implementation of the "Local Sports + Entertainment" Priority
* **Driven by Local Calendars**: Automated market scheduling based on leagues/cups/regions (match results, handicaps, awards, transfers/suspensions). "If there is a match, there is a market."
* **Star/Variety/Awards Templates:** Standardized market creation around "verifiable events" such as Announcements, Contracts, Awards, Collaborations, and Trending Thresholds to reduce disputes.
* **UGC Long-Tail Supply**: Creators can launch markets for "Regional Culture/Local Hotspots" with one click. The platform validates evidence sources and judgment criteria, recording them on-chain.
### Linkage with Financial Markets (From Entertainment Entry to Professional Deep Waters)
* **Sentiment to Factor**: Sentiment in hot matches/celebrity events → Volume/Topic Heat → Volatility in related financial assets (Club stocks, Sponsors, Platform stocks, Ad/Cloud/Content chains).
* **Cross-Domain Correlation**: A dashboard linking "Event → Industry → Stock/Index," helping users transition naturally from entertainment entry to hedging and asset allocation.
* **Engine Routing**: High-concurrency entertainment/sports markets prioritize the Betting Pool; when spreads/arbitrage/cross-period needs arise, the system automatically routes to or parallelly opens the CLOB (Central Limit Order Book).
#### The "360° Prediction Paradigm" for Single Assets (Entertainment/Sports Version)
For a single entertainment or sports asset, VIZO provides parallel and complementary perspectives that satisfy novice intuition while serving professional expression and hedging:
#### 1. Directional Dimension:
* Sports: Win/Loss (Binary), or Handicap/Over-Under (within compliant scope).
* Entertainment: Will Event A happen? (Official announcement, collaboration, award, chart ranking).
#### 2. Range (Interval) Dimension:
* Sports: Player Stat Ranges (Goals/Assists/Ratings tiers), Match Heat Ranges (Viewership/Interaction volume).
* Entertainment: Topic Heat Ranges (Search/Views/Social Interaction tiers).
* → Benefit: Replacing point precision with "Range Success Rate" significantly lowers the barrier to entry.
#### 3. Relative Dimension (Duel):
* Sports: Key data comparison between two teams/players (Who has higher contribution? Who is more likely to win the award?).
* Entertainment: Heat duel between two artists/works (Who ranks higher?).
* → Benefit: Captures relative strength without directional bias, naturally fitting "One-Click Follow" and replication strategies.
*VIZO deconstructs "single-point viewpoints" into three primitives: Direction—Range—Relative. Prices and odds across different perspectives cross-verify each other, enhancing consistency and interpretability.*
***
## 4.2 AI-Driven Loop: Research—Decision—Execution
VIZO overlays an AI Intelligence Layer on top of the trading layer. This is not a passive "information feed," but a traceable pipeline of signals and actions:
* **Ingest**: Low-latency aggregation and denoising of market data, news, social media, on-chain metrics, and multi-source oracles (Anomaly detection, Latency labeling).
* **Understand**: VIZO’s proprietary models (iterated by an internal team of AI scientists) perform joint modeling of Event Semantics and Market Microstructure:
* Event Impact Mapping (Event → Factor/Asset Impact).
* Probability/Range Distribution Estimation (Expected Move, Relative Strength Scoring).
* Online Confidence & Calibration assessment.
* **Advise**: Converted into actionable user-side suggestions: Open/Add/Reduce/Close position suggestions, Range selection tiers, Duel strength probabilities.
* **Learn**: All signal-to-execution statistics are replayable (Cause → Action → PnL/Win Rate/Calibration), used for online model learning and transparent auditing.
**Result**: Users are not just "fed information"; they acquire "**Executable Intelligence**" within a closed loop of Information → Signal → Action → Verifiable Result.
* Specific Doc: AI Target Information Capture & Intelligence Analysis System Requirements - V1.0
* Specific Doc: Single-Stock Volatility Index Setting Document - V1.0
* Specific Doc: OBSSI System Design Document - V1.0
***
## 4.3 Leaderboard Club: From "Win Rate" to "Four-Quadrant Capability Profiling"
Traditional leaderboards often rank by a single dimension like Win Rate or ROI, which is easily dominated by short-term noise. VIZO upgrades this to the Leaderboard Club, using proprietary algorithms to profile predictors across four dimensions, publicly available for the community to learn from and follow.
Compared to the single-dimension lists of Polymarket or Kalshi, Leaderboard Club distinguishes between those who are "Good at Guessing," "Good at Pricing," "Good at Holding," and "Good at Providing Depth." This facilitates users in learning/following/copying strategies based on specific dimensions and provides objective data for institutional/market-maker recruitment.
* *Specific Doc: Leaderboard & Club PRD - V1.0*
* *Specific Doc: Discussion Area Feed PRD - V1.0*
***
## 4.4 One-Click Follow: Turning "Learnable Views" into "Executable Operations"
"One-Click Follow" transforms "learnable viewpoints" into "executable templates," allowing more users to participate in price discovery at a lower cost while amplifying the social value and economic returns of high-quality strategies. This serves as both a growth engine and a "stabilizer" for VIZO's market quality.
* **Novice Friendly**: Translates "I understand" into "I can do." Users select trusted strategy sources (Top Predictors/Market Makers/Robust Accounts) in the Leaderboard Club and One-Click Copy their current or next order template (Direction/Range/Duel/Capital Ratio).
* **Accelerated Price Discovery**: Excellent strategies are rapidly amplified. The transmission from Viewpoint → Price becomes more intuitive, shortening the time for the board to form a "Consensus Price" and improving volume and depth utilization.
* **Lower Trial Cost**: Through follow limits, diversified templates, and preset risk controls, users participate with lower mental burden, improving retention and repurchase rates.
***
## 4.5 Market Making Mechanism
Through an auditable stacking mechanism of "**Base Limit Order Yield + GMV Growth Bonus + Activity Bonus + Strategic OI Tiers,**" VIZO offers comprehensive annualized returns of up to **\~18%** for general and strategic partner market makers. This is managed within strict budget and risk control gates.
The overall mechanism tightly binds incentives to "Real Price Discovery" (time spent near mid-price & tradable size). It achieves long-term, transparent, and auditable community co-construction and sharing under Compliance and Budget Gates.
* *Specific Doc: Airdrop & Market Making Incentive System - V1.2*
***
### 4.6 Financial Model Stack
VIZO establishes "**Expected Volatility + Probability Distribution**" as a public, calibratable, and auditable reference foundation. How ranges are cut, why odds change, and where market makers should place orders are all backed by model explanations and data evidence. This ensures prediction is no longer just a "feeling," but a verifiable price discovery process—making it both fun and professional.
Traditional prediction platforms often stop at the subjective emotions of traders. VIZO introduces a modeling foundation for financial assets (Stocks, ETFs, Indices, Crypto): making **Volatility Expectations** and **Result Distributions** a public, traceable reference layer directly linked to market design and odds generation. This improves market interpretability, comparability, and replayability from the source.
### 4.6.1 Expected Move Calculation
**Expected Move (EM)** quantifies the "typical price fluctuation range" of an asset over a future period. It is derived from the fusion of I**mplied Volatility (IV)** and **Historical/Real-time Volatility (Realized/Intraday Vol)**. Different categories/timeframes (e.g., Stock "Close by Friday," Crypto "10-minute window") use corresponding annualized scaling and term interpolation.
* *Specific Doc: Expected Move Calculation Methodology - V1.0*
### 4.6.2 Option Probability Distribution Algorithm
Based on EM, this estimates the Probability Density/Cumulative Distribution of future prices—a rolling distribution curve over time (including confidence bands)—serving market splitting, odds, risk control, and UI prompts.
* Calculation Doc: Option Probability Distribution Calculation Methodology - V1.0
* Reference:[ https://www.investopedia.com/terms/p/pdf.asp](https://www.investopedia.com/terms/p/pdf.asp)
### 4.6.3 AI Information Capture Mechanism
* Specific Doc: AI Target Information Capture & Intelligence Analysis System Requirements - V1.0
***
## 4.7 UGC: Turning "Viewpoint Productivity" into Compliant Market Supply
### 1) Supply-Side Scalability: The Necessity of Depth and Timeliness
* Long-Tail Coverage: Official teams cannot cover "Regional, Vertical, Fast-Exploding" topics (Celebrities/E-sports matches/Local elections/Extreme weather) in real-time. UGC turns Local Knowledge into market supply, filling the gap.
* Timeliness & Concurrency: The "Golden 6 Hours" of a hotspot are short. UGC template-based market creation (Rules + Evidence Source + Expiry) can go live in minutes, significantly outperforming centralized scheduling.
* Multi-Perspective on Same Asset: Creators launch "360° Predictions" (Direction/Range/Duel) around the same asset, using crowd wisdom to improve price consistency and odds calibration.
### 2) Demand-Side Participation: Upgrading "Consumers" to "Producers"
* Monetizing Insights: Leaderboard Club profiling + One-Click Follow + Revenue Sharing provides predictors with a clear path to Income and Influence, encouraging those "who can judge" to continuously supply high-quality events.
* Social & Replication: UGC naturally carries relationship chains and topic fission. Combined with CopyTrading, it lowers the entry barrier for newcomers and boosts retention.
* Localized Mindset: Asian users feel more involved in Entertainment/Sports/Local Public Issues. UGC quickly translates "On-the-ground Knowledge" into Tradable Viewpoints, forming a differentiated mindset.
### 3) Economics & Growth: A Supply Method with Superior ROI
* Low Marginal Cost: UGC outsources the cost of "Content Selection and Event Definition" to the community. The platform concentrates on Compliance, Risk Control, Rules, and Tools. The same budget yields higher GMV/OI.
* Aligned Monetization:
* Creators: Transaction fee share, Follow earnings, Incentive points.
* Platform: More markets → Higher activity → Stable fees & Ecosystem revenue.
* Market Makers: More real scenarios attract liquidity; Point yield and price discovery improve.
* Sustainable Moat: UGC forms Data Assets and Creator Relationship Assets (Prediction Resume, Calibration Curve, Fan Network), increasing platform stickiness and migration costs.
### 4) UGC × AMM Market Making Mechanism
UGC + AMM gives the "Anyone Can Create" supply side robust Price and Depth. Combined with CLOB, risk control gates, and interpretable pricing, VIZO can continuously consolidate entertainment and local hotspots into Tradable, Settlable, and Auditable market liquidity.
VIZO allows vetted Creators to self-create markets under compliant premises, forming a ternary structure of "Official Supply + Strategic Partner Supply + UGC Supply." The goal is to bring personalized events and long-tail topics online quickly while ensuring clear rules, verifiable evidence, and auditable settlement.
VIZO UGC upgrades "Anyone Can Create a Market" to a "Compliant, Auditable, Monetizable Market Supply System": equipped with templates, model references, evidence sources, on-chain storage, and the dual constraints of revenue sharing and risk control. This allows for the rapid production of personalized events while operating robustly within the institutional framework—this is VIZO's key differentiator for long-tail content and community co-construction.
***
## 4.8 Trading Mechanisms
### 4.8.1 Peer-to-Peer Pool (Betting Contract Pool)
* Doc: Betting Contract Pool Design Document - V1.0
### 4.8.2 Central Limit Order Book (CLOB)
* Doc: "VIZO" CLOB Setting PRD – V2
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