Blockbox Whitepaper
  • 📖 Introduction
  • 📦Product Overview
  • ✨Key Features
  • 💠$BLOCK Token Utility
  • 📊 Tokenomics
  • 🛣️ Roadmap
  • 🧩 Technology Stack
  • 🔐 Security & Privacy
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On this page
  • 🧠 AI & Machine Learning
  • 💬 Telegram Bot Architecture
  • 🧱 Blockchain Integration
  • 🌐 Infrastructure & Hosting
  • 🛡️ Security & Privacy Practices
  • 📌 Future Stack Development

🧩 Technology Stack

Block Box combines artificial intelligence, computer vision, and blockchain integration into a streamlined, Telegram-native user experience. Each component of the system is chosen to optimize performance, scalability, and user accessibility — while preparing for a decentralized future.

🧠 AI & Machine Learning

Block Box uses a proprietary AI model designed to interpret technical charts through image input. Key components include:

  • Computer Vision (CV): Used to identify candlestick formations, chart patterns, trendlines, and indicators from uploaded images.

  • Pattern Recognition Engine: Detects common technical analysis structures such as Head & Shoulders, Double Tops/Bottoms, Channels, Wedges, etc.

  • Contextual Decision Layer (in development): Evaluates price behavior in context, suggesting trade ideas based on timeframes, positioning, and risk structure.

💬 Telegram Bot Architecture

  • Built using Node.js with Telegram Bot API

  • Image pre-processing with Python (OpenCV) and server-side model inference

  • Stateless design with optional user ID tagging for future personalization

  • Message-driven workflow for lightweight UX and fast response

Telegram is chosen for its strong presence among traders, real-time interaction capabilities, and ease of access across mobile and desktop.

🧱 Blockchain Integration

  • $BLOCK Token (ERC-20 / BSC / TBA): Used to unlock features, access premium tools, and participate in governance.

  • Token-Gating System: Wallet-based access control for premium signals and feature tiers (planned via web companion).

  • DAO & Voting System (Phase 4): Community governance will be implemented using open-source DAO tooling (Snapshot, Tally, or custom smart contracts).

🌐 Infrastructure & Hosting

  • Backend hosted on cloud-based containers with scalable architecture (AWS / DigitalOcean)

  • Redundancy and uptime guaranteed via bot mirroring

  • All data processed in-memory; no chart data stored permanently (privacy-first approach)

🛡️ Security & Privacy Practices

  • No private keys, trading accounts, or wallet info stored

  • Bot requests are ephemeral and encrypted

  • No third-party integrations without explicit user permissions

📌 Future Stack Development

  • AI model fine-tuning via user feedback loop

  • Support for real-time chart interpretation via WebSocket feeds

  • Integration of chart rendering via TradingView chart image generator (auto-snapshot from ticker input)

  • Optional AI co-pilot interface via web dashboard

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Last updated 4 days ago