# User Profiling Engine

Vingt.io’s AI Smart Agents analyze markets and understands **you**. The User Profiling Engine is a foundational component of our intelligence stack that allows each investor to receive personalized portfolio strategies based on their preferences, capital, and behavior.

Whether a user is seeking stablecoin yield, swing trading bluechips, or deploying high-conviction leverage, the engine dynamically matches them to the right risk-adjusted allocation across Vingt.io’s index products, trading strategies, and leverage tokens.

## **How the User Profiling Engine Works**

Each user is classified into a **risk tier** and associated with a **behavioral and capital profile**, which drives all AI recommendations and alerts.

#### **Risk Appetite Calibration**

Users are segmented into three main categories based on onboarding inputs and in-app behavior:

* **Low Risk**: Seeks capital preservation and stable yields. Avoids leverage and prefers diversified, lower-volatility exposure (e.g., SIT, BSK).
* **Medium Risk**: Accepts volatility for moderate growth. Prefers index + strategic token positions (e.g., BTX, ETX, BNBX).
* **High Risk**: Comfortable with aggressive strategies. Uses leverage products, trades narrative rotations, chases breakouts (e.g., BTC 3x, ETH 3x, -1x shorts).

The system continuously refines this classification based on actions taken, such as switching into riskier products or exiting in volatile conditions.

#### **Capital-Based Adjustments**

Different capital sizes demand different strategies. Vingt.io accounts for this with adaptive scaling:

* **<$1,000**: Simplified, gas-efficient strategies — mostly stable yield or single-token exposure.
* **$1,000–$10,000**: Diversified allocations across 4 tokens with built-in risk buffers.
* **$10,000+**: Access to enhanced opportunities, advanced strategies, and optional capital segmentation (e.g., long-term + tactical split).

#### **Holding Duration Preferences**

Users indicate or the system infers the intended holding duration:

* **Short-Term** (days–1 week): Prioritize momentum-based strategies, AI alerts, tactical narratives
* **Medium-Term** (1–4 weeks): Balanced mix of strategic tokens, stablecoin buffers, optional rotation
* **Long-Term** (1–6 months): Focus on low-risk index holdings, slow rotation, and strong-cycle alignment

This directly affects leverage exposure, entry timing, and rebalancing frequency.

#### **Asset Bias & Thematic Interest**

Over time, the AI observes which tokens or sectors a user leans toward:

* BTC-heavy? Altcoin explorer? Yield farmer?
* Interested in ETH L2s, AI tokens, Solana ecosystem?

Based on this, the engine fine-tunes exposure:

> A BTC-preferring user in a bullish market might receive more BTX and BTC 2x vs. generic index exposure.

#### **Interaction Feedback Loop**

Every portfolio the user accepts, skips, or customizes helps train the AI:

* Which allocations do they trust?
* What are they likely to reject?
* When do they manually adjust risk?

This ongoing feedback builds an **individual AI investor profile**, completely private, on-chain, and user-controlled.

## **Example: Personalized AI Allocation**

A user logs in with the following inferred profile:

* Capital: $3,500
* Risk: Medium
* Duration: 2 weeks
* Bias: Bitcoin-centric
* Market Score: 68 (early bull)

**AI Output**:\
→ BTX (30%) + BTC 2x (25%) + BSK (25%) + ETX (20%)\
→ Entry timing optimized based on RSI + whale accumulation

The portfolio is pre-loaded with rationale, expected volatility, and estimated weekly yield and ready for one-click flash-minting.

## **Why This Matters**

* **User Trust**: Every decision feels like it was made _for them_, not just a generic DeFi recommendation.
* **Efficiency**: No need to sort through 50 tokens or 20 charts — the AI handles it.
* **Customization without Complexity**: Advanced intelligence, clean user experience.

## **Future Expansion**

As user data grows, this profiling engine will support:

* **Clustered personas** (e.g., DeFi-native vs. TradFi newcomer)
* **Reinforcement learning**: AI adapting allocation strategy based on long-term outcomes
* **Social-linked strategy pools** (invest like influencers or whales you trust)
