AI-Powered Blockchain for Crypto Trading

I’m building a blockchain platform dedicated to cryptocurrency trading and I need a developer who can weave advanced AI directly into the chain’s core functions. The chain must support secure, high-throughput financial transactions while harnessing machine-learning models for three specific purposes: predictive analytics that flag market movements before they happen, automated trading algorithms that can execute strategies on-chain, and real-time fraud detection to keep every wallet and order book clean.

My ideal flow looks like this: smart contracts (Solidity or another EVM-compatible language) manage deposits, order matching, and settlement; an AI layer—built with frameworks such as TensorFlow, PyTorch, or comparable libraries—streams market data, generates price predictions, and triggers trades through on-chain oracles; meanwhile, a fraud-detection microservice listens to transactions and immediately quarantines anything suspicious. All components must talk through well-documented REST or gRPC endpoints so front-end or mobile clients can plug in without friction.

Deliverables I’ll review for acceptance:
• Complete smart-contract suite deployed to a public testnet
• AI models and training scripts with reproducible results on a provided sample dataset
• Trading bot logic wired to on-chain functions and back-tested against at least three months of historical data
• Fraud-detection service with unit tests showing >95 % detection accuracy on simulated attack patterns
• Deployment scripts (Docker or Kubernetes) and concise setup documentation

If you’ve shipped production-grade blockchain or algo-trading systems before, let’s talk timelines and any questions you may have about the data feeds or exchange interfaces I already have in place.