VinRouge DexyBot

Demo

About

The problem it 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