The problem VinRouge DexyBot solves

Problem Statement:

• Crypto traders lack automated risk management tools
• Onchain investors struggle with timely portfolio adjustments
• Yield farmers & leveraged traders need adaptive risk exposure
• Non-experts & HNW investors require easy risk-adjustment solutions
  Solution - AI Agent powered trading bot:
• AI Agent integrates onchain & offchain signals
• Automates trading decisions based on risk signals
• Uses Base AgentKit for seamless execution
• Offers real-time portfolio rebalancing & risk adjustment

User Interaction and Data Flow

🚀 How VinRouge DexyBot Works – The Magic Formula
⚡ AI + On-Chain + Off-Chain = Superior Risk Signals

1️⃣ User Initiates a Prompt

Via Telegram bot, requesting market risk insights on crypto tokens with well-established market cap.
2️⃣ VinRouge DexyBot Generates a Multi-Layered Risk Signal

Off-Chain Technicals: RSI, Z-score, Bollinger Bands.
On-Chain Intelligence: Whale transactions, market dominance, exchange flows.
Proprietary AI Risk Multiplier: Dynamically adjusts signal weightings based on live data.
3️⃣ AI-Driven Insights Are Delivered

VinRouge DexyBot interprets market conditions and delivers insights back to the user.
These signals help users refine trading decisions or even automate execution.
4️⃣ Next-Level On-Chain Actions (Future Feature 🚀)

AI agent could automate execution strategies based on custom risk profiles.
Integration with CEX & DEX execution layers for smart, AI-driven trading.

The project architecture and development process

📦 VinRouge-Dexy-Bot
├── 📂 dexy
│ ├── 📂 tools # Custom-built risk signal components
│ │ ├── 📂 mean_reversion # Mean reversion strategy
│ │ │ ├── 📂 core # Core logic for mean reversion
│ │ │ │ ├── api.py
│ │ │ │ ├── indicators.py
│ │ │ │ ├── test_indicators.py
│ │ │ │ ├── test_mean_reversion.py
│ │ │ │ ├── advanced_strategy.py
│ │ │ │ ├── algo_trading_toolkit.py
│ │ │ │ ├── langchain_tools.py
│ │ │ │ ├── example.py
│ │ │ │ ├── init.py
│ │ │ ├── example_usage.md
│ │ │ ├── docs.md
│ │ │ ├── README.md
│ │ ├── 📂 multiply # Applies on-chain risk multipliers
│ │ │ ├── multiply.py
│ │ │ ├── init.py
│ │ ├── 📂 whalesignal # Whale movement + exchange inflows/outflows
│ │ │ ├── whale_dominance.py
│ │ │ ├── whale_dominance_exchange_flow.py
├── 📜 chatbot.py # Core signal processing and risk analysis engine
├── 📜 telegram_bot.py # User-friendly Telegram bot for signal requests & alerts
├── 📜 pyproject.toml # Project dependencies and configurations
├── 📜 README.md # Project documentation
├── 📜 LICENSE # Licensing information
├── 📜 .gitignore # Files to exclude from version control

Product Integrations

Base AgentKit
Telegram Bot
OpenAI API
CDP API
CoinAPI
CoinGecko API
Whale-alert.io API

AI agents, TG Bot user interface, and data sources

Key differentiators and uniqueness of the project

We fuse quant-driven off-chain indicators with real-time on-chain data, creating a seamless end-to-end trading intelligence pipeline—from Telegram bot prompts to AI-powered execution insights.

Trade-offs and shortcuts while building

Data availability
Onchain speed

Additional Features

Newly built in 2.5 days