AI-powered market intelligence for everyone — turn raw market data into clear, explainable trading insights

fintools-ai is an ecosystem of microservices and AI agents that transforms raw market data into actionable, explainable insights.

The mission is simple: Make complex market data easy to understand and act on.

Trade Copilot is one of the first product of the fintools-ai suite. It's just the beginning. I'm building a collection of specialized AI assistants, each designed to simplify different aspects of trading.

Trade Copilot tackles the trader's biggest pain point: turning a firehose of real-time data into an actionable story.

flowchart LR
    classDef header fill:#F0F4FF,stroke:#4C6EF5,color:#1E40AF,stroke-width:2px
    classDef stage fill:#FFFFFF,stroke:#90A4AE,color:#37474F,stroke-width:1px
    classDef service fill:#F5F5F5,stroke:#B0BEC5,color:#263238,stroke-width:1px
    
    subgraph TC["🤖 Trade Copilot"]
        direction LR
        Query["User Query"]:::header
        NLP["Natural Language<br/>Interface"]:::stage
        RTP["Real-Time<br/>Processing"]:::stage
        AI["Claude 4 +<br/>AWS Bedrock"]:::stage
        Analysis["Multi-Modal<br/>Analysis"]:::stage
        
        Query --> NLP --> RTP --> AI --> Analysis
    end
    
    subgraph Services["Connected Services"]
        direction LR
        Market["Market Data<br/>Server"]:::service
        Order["Order Flow<br/>Server"]:::service
        Options["Options Flow<br/>Server"]:::service
    end
    
    RTP -.-> Market
    RTP -.-> Order
    RTP -.-> Options

What Trade Copilot Does:

• Natural Language Interface — Ask questions in plain English about market data
• Real-Time Processing — Analyzes current market activity as it happens
• Clear Explanations — Breaks down complex data into understandable insights
• Comprehensive View — Combines multiple data sources for complete analysis

• OI Analysis Copilot — Deep dive into open interest patterns and create trade plans based on options positioning

Each tool focuses on making one aspect of trading simpler and more data-driven.

╔═══════════════════════════════════════════════════════════════════════════╗
║                         fintools-ai Architecture                          ║
╚═══════════════════════════════════════════════════════════════════════════╝

┌─────────────────┐      ┌──────────────────┐      ┌─────────────────────┐
│  🌐 Data Layer  │      │ 🔧 Processing    │      │ 📱 User Interface   │
├─────────────────┤      ├──────────────────┤      ├─────────────────────┤
│                 │      │                  │      │                     │
│ • 3P Market     │─────▶│ Go Data Broker   │─────▶│ • Trade Copilot     │
│   Data APIs     │      │ (Real-time)      │      │ • Web Dashboard     │
│ • WebSocket     │      │                  │      │ • Mobile Apps       │
│   Feeds         │      │ • gRPC Server    │      │   (Coming Soon)     │
│ • REST APIs     │      │ • Redis Cache    │      │                     │
│                 │      │ • Event Stream   │      │                     │
└─────────────────┘      └────────┬─────────┘      └─────────────────────┘
                                  │
                         ┌────────▼─────────┐
                         │  📡 MCP Servers  │
                         ├──────────────────┤
                         │                  │
                         │ • Market Data    │
                         │ • Order Flow     │
                         │ • Options Flow   │
                         │ • Open Interest  │
                         │                  │
                         └────────┬─────────┘
                                  │
                         ┌────────▼─────────┐
                         │  🧠 AI Layer     │
                         ├──────────────────┤
                         │                  │
                         │ • Claude 4       │
                         │ • AWS Bedrock    │
                         │ • Pattern Recog. │
                         │ • ML Models      │
                         │                  │
                         └──────────────────┘

📋 Beta Notice: Several repositories are currently private during beta testing and will be made public upon stable release.

The AI trading assistant that analyzes markets and help generated insights from raw real time market data

• Status: Private Beta — Repository will be public soon
• Tech Stack: Python, FastMCP, Claude 4, Go, gRPC, WebSockets
• Key Features:
  • Real-time order flow analysis
  • Options sweep detection
  • Volume profile analysis
  • Institutional bias tracking
  • Natural language queries

Comprehensive financial market data analysis for LLM agents

# Example: Get volume profile in natural language
result = await mcp_client.call_tool("financial_volume_profile_tool", {
    "symbol": "AAPL",
    "timeframe": "5m"
})
# Returns: POC, VAH, VAL, and high-volume nodes with explanations

• Tools: Volume Profile, Technical Analysis, Support/Resistance Zones
• Integration: FastMCP protocol, 3P market data APIs
• Use Cases: Pattern recognition, price level identification

Standalone server for AI trading agents

• Purpose: Bridge between external brokers and AI systems
• Architecture: Modular, scalable data processing
• Output: Structured insights for LLM consumption

Chat-based Open Interest analysis

• Focus: Daily OI trends and positioning analysis
• Interface: Natural language queries for options data
• Insights: Support/resistance from options positioning

Real-time order flow analysis and institutional tracking

Key Features:

• 🔄 Bid/Ask Momentum Analysis — Track buying vs selling pressure
• 📊 Large Order Detection — Identify institutional-sized trades
• 🎯 Absorption Pattern Recognition — Spot accumulation/distribution
• 🏢 Market Maker vs Retail Classification — Know who's trading

Options market intelligence and sweep detection

Key Features:

• 🎯 Institutional Sweep Detection — Catch large options orders
• 📈 Put/Call Bias Analysis — Market sentiment indicators
• ⚡ Gamma Positioning Insights — Understand dealer hedging
• 💰 Smart Money Flow Tracking — Follow institutional positioning

Dedicated Open Interest data pipeline

• Purpose: Fetch and process OI data for analysis
• Integration: Feeds into OI Analysis Copilot
• Updates: Real-time OI change detection

• Conversational Interface — Ask questions in plain English
• Explainable AI — Understand why, not just what
• Continuous Learning — Patterns improve with market data
• Multi-Modal Analysis — Text, charts, and data combined

• Use only the services you need
• Easy integration with existing tools

Currently in Beta Development 🚧

I'm actively building the future of AI-powered trading analysis. Core systems are in development and being tested with early adopters.

Connect:

• 📧 sayantanbhow@gmail.com
• 💼 LinkedIn
• 🐙 GitHub

Important Notice:

• 📋 Not Financial Advice — Tools provide data analysis, not investment recommendations
• 🔒 Risk Disclaimer — Trading involves substantial risk of loss
• 📊 Data Accuracy — While we strive for accuracy, verify all data independently