🚀 Agentic Finance Studio
Institutional Intelligence → Risk-Managed Crypto Signals → Execution Ready Agentic Finance Studio is an AI-powered Telegram crypto intelligence platform designed to transform fragmented market information into structured, actionable trading insights. The system combines institutional sentiment intelligence, multi-source market data, technical analysis, risk management, and automated Telegram delivery to help traders make better-informed decisions. Built for the SoSoValue Buildathon.
🎯 Project Vision Crypto traders face several challenges: Information overload from multiple sources Late market entries Lack of structured decision-making Difficulty combining sentiment with technical analysis Poor risk management Agentic Finance Studio addresses this by creating an intelligent workflow: Institutional Data → Market Analysis → Risk Assessment → Actionable Signal Instead of providing raw data, the system converts market information into a structured trading intelligence layer. than isolated market signals.
💡 What It Does
Agentic Finance Studio provides:
📊 Market Intelligence
BTC, ETH, BNB, XRP, and SOL monitoring
Multi-source price aggregation
Institutional sentiment integration
Sector intelligence overview
ETF flow awareness
Whale activity monitoring
🧠 AI Signal Engine The signal engine evaluates: SoSoValue sentiment intelligence RSI momentum analysis EMA20 / EMA50 trend confirmation ATR-based volatility measurement Volume spike detection Confidence scoring Risk-to-reward calculation
Each signal provides:
Market bias (LONG / SHORT / NEUTRAL) Entry zone Take Profit Stop Loss Risk:Reward ratio Confidence score Signal reasoning Data source attribution
🏗️ System Architecture
┌───────────────────┐
│ SoSoValue API │
│ Institutional Data │
└─────────┬─────────┘
│
▼
┌───────────────────┐
│ Intelligence Layer │
│ Sentiment + Market │
└─────────┬─────────┘
│
▼
┌───────────────────┐
│ Signal Generation │
│ RSI EMA ATR Risk │
└─────────┬─────────┘
│
▼
┌───────────────────┐
│ Telegram Interface │
│ Alerts + Commands │
└───────────────────┘
🧩 Core Components
-
Intelligence Layer Primary source: SoSoValue API Provides: Institutional sentiment Market intelligence ETF flow information Market context Fallback sources: CoinGecko Binance The system automatically switches sources when necessary.
-
Signal Engine Built with asynchronous Python architecture. Features:
✅ Technical analysis processing
✅ Confidence scoring
✅ ATR-based risk management
✅ Dynamic Entry / TP / SL calculation
✅ Trend confirmation
✅ Signal explanation
- Telegram Delivery Layer
The user interface is built around Telegram. Features: Interactive buttons Real-time alerts Market scanner Signal requests Portfolio monitoring Execution workflow
🛠️ Technologies Used
Backend Python 3.11 asyncio aiohttp Telegram python-telegram-bot
APIs Primary: SoSoValue API Fallback: CoinGecko API Binance API
Infrastructure Docker Render deployment Environment-based configuration
Security API keys stored using environment variables Private credentials never hardcoded
🚀 Key Features
Market Intelligence
✅ Multi-source price engine
✅ Institutional sentiment integration
✅ Sector intelligence
✅ ETF flow monitoring
✅ Whale radar
Signal Intelligence
✅ LONG / SHORT detection
✅ Confidence scoring
✅ RSI analysis
✅ EMA trend filtering
✅ ATR volatility calculation
✅ Dynamic risk management
Automation
✅ Background market scanner
✅ Smart alerts
✅ Rate limiting
✅ API fallback protection
✅ Response caching
📈 Example Signal Output
BTC LONG
Confidence: 87%
Current Price: $108,500
Entry: $107,900
Take Profit: $111,200
Stop Loss: $107,300
Risk Reward: 1:2.4
Reasoning:
✓ Bullish EMA trend ✓ RSI momentum recovery ✓ Positive sentiment bias
Source: SoSoValue + CoinGecko
⚙️ Execution Layer Status
Agentic Finance Studio includes a complete trading execution workflow through SoDEX integration. Implemented:
✅ Signal generation
✅ Risk calculation
✅ Position sizing
✅ Order preparation
✅ Order routing logic
✅ Execution handling
Current limitation:
SoDEX API authentication requires final production signature verification.
For judges:
"The trading workflow is fully implemented end-to-end. The remaining issue is SoDEX API authentication (signature verification). Signal generation, risk management, order routing, and execution logic are complete."
The complete Wave 3 execution workflow is implemented end-to-end.
During testing, the bot successfully:
- Retrieves live market intelligence
- Generates trading signals
- Calculates dynamic position sizing
- Builds the SoDEX order payload
- Generates the request signature
- Sends authenticated execution requests to the SoDEX trading endpoint
The remaining issue encountered during final testing is exchange-side authentication validation (Invalid API Key / Authentication Error) returned by the SoDEX API. As a result, live orders are not currently accepted by the exchange, although the execution pipeline itself is fully implemented and operational.
This does not affect the intelligence engine, autonomous scanner, risk management, Telegram workflow, or order construction logic, all of which are functioning as demonstrated in the repository, live bot, and demo video.
🧪 How We Built It
The system was developed using asynchronous Python architecture to support fast and scalable market monitoring. The Telegram bot handles user interaction while backend services process market intelligence, technical analysis, and signal generation. A tiered data architecture ensures reliability:
Primary: SoSoValue
Secondary: CoinGecko
Tertiary: Binance
This allows continuous operation even when one provider experiences downtime or rate limits.
📚 What We Learned
During development, we learned: Data Normalization Different Web3 APIs return different structures. Creating a unified data layer was essential for reliable intelligence. Async Architecture Asynchronous processing significantly improved: API response handling Multiple asset scanning Telegram responsiveness Building Agentic Systems Combining external intelligence sources with automated reasoning creates more useful systems than isolated indicators.
🧪 Testing Instructions For best performance: Allow 5–10 seconds between commands Use Telegram /start command
Explore: BTC ETH BNB XRP SOL
Sector Map
Whale Radar
ETF Flows
Intelligence
Scanner Status
Live health endpoint:
https://agentic-finance-studio.onrender.com/health
🔮 Future Development
Next Phase Planned improvements: Advanced AI sentiment analysis Improved whale intelligence Personalized trader profiles Portfolio analytics AI trading journal Institutional dashboard Long-Term Vision The goal is to evolve Agentic Finance Studio into a fully autonomous financial intelligence agent that connects:
Market Intelligence ↓ Decision Making ↓ Risk Management ↓ Execution
💰 Monetization Strategy
Future premium features: Premium Telegram signals Advanced portfolio analytics AI trade journal Institutional intelligence dashboard Telegram Stars subscriptions
This project is built for educational and demonstration purposes. It does not provide financial advice. Trading cryptocurrencies involves risk. Users should perform their own research.
🔗 Links
🤖 Telegram Bot
https://t.me/AgenticFinanceBot
💻 GitHub Repository
https://github.com/fxscalpersignals/agentic-finance-studio
🎥 Demo Video
https://www.youtube.com/watch?v=ZIa7NCarmWU
🌐 Live System Health
https://agentic-finance-studio.onrender.com/health
👨💻 Developer
Built by fxscalpersignals Solo Developer Project for the SoSoValue Buildathon