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• Telegram: https://t.me/BoxAIGlobal
• Website: https://www.boxaiweb3.org/
• X (Twitter): https://x.com/boxaioc
BoxAI Research Library is a structured knowledge base documenting the pricing mechanisms, market structure, and execution logic behind prediction market arbitrage.
BoxAI is built around a single core principle:
We analyze whether prices are structurally correct — not whether events will occur.
As prediction markets expand across sports, finance, crypto, and macro events, pricing inefficiencies persist due to fragmented platforms, non-standardized rules, separated order books, and heterogeneous participants.
These structural frictions create recurring arbitrage windows that are not eliminated by scale alone.
This research library serves as the foundation for BoxAI’s pricing research, execution framework, and economic model.
What BoxAI Is**
BoxAI (BoxAI Research / BoxAI Labs) is an AI-assisted arbitrage research and execution framework focused on probabilistic asset pricing in prediction markets.
BoxAI does not predict outcomes, generate opinions, or compete on informational edge.
Instead, it studies and operates at a deeper layer:
Prediction markets are treated as a financial engineering system, not a betting product.
| Scope | Description |
|---|---|
| Market Type | Prediction Markets (Sports, Finance, Crypto, Events) |
| Core Asset Logic | Fully collateralized probabilistic assets |
| Pricing Anchor | Probability theory & no-arbitrage constraints |
| Execution Layer | Order book depth, liquidity, execution paths |
| Risk Philosophy | Risk-neutral, non-directional |
| Exclusion | Reason |
|---|---|
| Directional outcome prediction | Not scalable or repeatable |
| Opinion-driven trading | Emotion-dependent pricing |
| Rule-ambiguous contracts | Settlement tail risk |
| High leverage structures | Systemic risk amplification |
| Last-second speculative trades | Unbalanced risk/return |
1. USDT Entry & Arbitrage Computing Power Packages
Users participate by depositing USDT to purchase Prediction Market Arbitrage Computing Power Packages.
Each package creates an independent arbitrage mining order that generates USDT-denominated returns.
| Item | Description |
|---|---|
| Entry Asset | USDT |
| Product Type | Arbitrage Computing Power Package |
| Function | Creates prediction market arbitrage orders |
| Daily Yield | Approx. 1% – 2% |
| Active Order Limit | One active order per account |
| Order Structure | Each package generates an independent order |
| Exit Mechanism | Automatic exit at 3× cumulative return |
| Tier | Package Amounts (USDT) |
|---|---|
| Tier A | 100 / 200 / 400 / 600 |
| Tier B | 500 / 1,000 / 2,000 / 3,000 |
| Tier C | 1,000 / 2,000 / 4,000 / 6,000 |
| Tier D | 3,000 / 6,000 / 12,000 / 18,000 |
| Rule | Description |
|---|---|
| Sequential Purchase Rule | Packages must be purchased from smaller to larger |
| Single Active Order Rule | Only one arbitrage order may exist per account |
| Order Completion Requirement | Existing order must fully complete before upgrading |
| Order Generation | Each investment generates a standalone order |
| Dynamic Reward Release | Released based on order creation time sequence |
BoxAI implements a non-burn referral reward mechanism, ensuring rewards do not conflict across levels.
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Additional rewards are distributed based on team performance volume, using a differential percentage system.
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