AI Crypto Trading Platform Development
Budget: £20 – £250 GBP
I need an end-to-end build of an AI-driven crypto platform that combines predictive analytics with fully automated trading. The system must run smoothly on web, mobile, and desktop, while interacting in real time with Ethereum, Bitcoin, and Binance Smart Chain networks.
Core requirements
• AI engine: ingest market data, generate price predictions, and continuously learn from new inputs.
• Trading automation: execute strategies 24/7 with adjustable risk and position sizing, plus fail-safe controls for extreme volatility.
• Unified interface: one codebase feeding a responsive web app, native-feeling iOS/Android apps, and a lightweight desktop client.
• Blockchain connectivity: wallet management, on-chain order routing, and secure key storage for ETH, BTC, and BSC.
• User layer: dashboards for live P&L, back-test results, and manual override of bots.
• Admin layer: rule editor, model retraining trigger, and audit logs.
Acceptance criteria
1. Back-test accuracy and live trade execution must match documented strategy logic.
2. Model retraining completes without downtime.
3. Deposits, trades, and withdrawals confirm correctly on all three chains.
4. Apps pass security review (OWASP top 10, key encryption at rest and in transit).
Preferred stack: Python or Node.js for AI services, TensorFlow/PyTorch, Web3 libraries (ethers.js, web3.py), React/Flutter for front ends—but I’m open to your proven toolkit if it delivers the same results.
Please outline your approach, estimated timeline, and any previous work with similar multi-chain, AI-powered trading systems.
Core requirements
• AI engine: ingest market data, generate price predictions, and continuously learn from new inputs.
• Trading automation: execute strategies 24/7 with adjustable risk and position sizing, plus fail-safe controls for extreme volatility.
• Unified interface: one codebase feeding a responsive web app, native-feeling iOS/Android apps, and a lightweight desktop client.
• Blockchain connectivity: wallet management, on-chain order routing, and secure key storage for ETH, BTC, and BSC.
• User layer: dashboards for live P&L, back-test results, and manual override of bots.
• Admin layer: rule editor, model retraining trigger, and audit logs.
Acceptance criteria
1. Back-test accuracy and live trade execution must match documented strategy logic.
2. Model retraining completes without downtime.
3. Deposits, trades, and withdrawals confirm correctly on all three chains.
4. Apps pass security review (OWASP top 10, key encryption at rest and in transit).
Preferred stack: Python or Node.js for AI services, TensorFlow/PyTorch, Web3 libraries (ethers.js, web3.py), React/Flutter for front ends—but I’m open to your proven toolkit if it delivers the same results.
Please outline your approach, estimated timeline, and any previous work with similar multi-chain, AI-powered trading systems.
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