🔬Platform Architecture & Technology

Core Architecture ArnoyaTrade is a modular, AI-native trading platform composed of five layers:

1. AI Agents

2. Agent SDK & Studio

3. Decentralized Infrastructure

4. Data & AI Marketplace

5. Smart Contracts & Security

AI Agent Layer

  • Autonomous agents trained via reinforcement learning

  • Real-time trade execution on CEXes/DEXes

  • Multi-agent collaboration and signal sharing

  • Behavioral profiles: conservative, moderate, aggressive

  • Custom or marketplace-based ML models Key Value: 24/7 adaptive trading with minimal human input

Agent SDK & Studio

  • Python-based SDK to define logic and integrate data feeds

  • Backtesting engine for validating trading strategies

  • No-code visual Agent Studio for non-developers

  • Agent marketplace to publish, rent, or monetize bots

  • Reputation system based on performance and transparency Key Value: Accessible agent development for all user levels

Infrastructure & Cross-Chain Interoperability

  • Decentralized compute via distributed GPU/CPU nodes

  • Secure routing with encrypted WebSockets and VPN overlay

  • IPFS/Filecoin-based decentralized storage

  • Docker/WASM agent containerization

  • Ethereum L2 base + native bridges to Cosmos IBC & Polkadot XCM

  • Chainlink/Pyth oracles for live market data Key Value: Scalable, blockchain-agnostic execution backbone

Data & AI Marketplace

  • Tokenized access to market data (price, sentiment, on-chain)

  • Rentable AI models and proprietary trading signals

  • NFT-gated access to unique datasets or models Key Value: Distributed intelligence and revenue streams

Smart Contracts & Security Model

  • Smart contracts for agent deployment, leasing, payments, governance

  • Audited by security firms (CertiK, Trail of Bits, Halborn)

  • Encrypted agent communications with TLS and peer auth

  • Non-custodial key architecture for trade signing

  • Defense mechanisms for slippage, spoofing, flash loan exploits Key Value: Trustless automation with hardened protection

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