Cryptohopper

Cryptohopper Architectural Analysis

Cryptohopper operates as a non-custodial Software-as-a-Service (SaaS) platform, functioning as a sophisticated middleware between users and global cryptocurrency exchanges. The architecture is designed to maintain persistent trading logic execution in a cloud environment, independent of client-side connectivity 📑.

Strategy Orchestration & AI Designer

The platform's core value proposition lies in its 'AI Strategy Designer,' which uses a machine learning framework to evaluate a pool of strategies and select the optimal performer based on real-time market regimes 📑.

• Execution Engine: Employs a dual-path data ingestion model using both REST polling and WebSocket streams to monitor market microstructures across 20+ exchanges 📑.
• Logic Processing: High-level strategies are constructed via a visual no-code editor or customized through a Python/JavaScript framework, which is then executed within the platform's managed runtime 📑.
• Automated Rebalancing: The Portfolio Bot handles dynamic asset allocation to maintain target weights across multiple accounts, utilizing a distributed processing pathway to mitigate execution risk 🧠.

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Operational Scenarios

• Automated Signal Execution: Input: External Signal (via Webhook) or Technical Indicator trigger → Process: Strategy Logic check & Risk Management (Stop-loss/Trailing) calculation → Output: REST/WebSocket API Order placement to Exchange 📑.
• Backtesting Sandbox: Input: Historical OHLCV data & Strategy config → Process: Discrete-event simulation of trade execution over a specified time-frame → Output: Performance metrics (Profit/Loss, Max Drawdown) 📑.
• AI Strategy Optimization: Input: Multiple strategy templates → Process: ML-based scoring of strategy efficacy against current volatility and trend vectors → Output: Autonomous switching of the active execution logic 📑.

Infrastructure & Security

The platform implements strict credential isolation to prevent unauthorized fund access 📑.

• Credential Abstraction: API keys are stored in a managed persistence layer with no withdrawal permissions enabled, and access is restricted via IP whitelisting to Cryptohopper’s server clusters 📑.
• Internal Middleware: The backend utilizes a PHP/Laravel core for business logic and Vue.js for the frontend dashboard, with implementation details of the high-frequency matching components remaining proprietary 🌑.
• Roadmap Status: Advanced cross-chain 'Agentic Hub' features for 20+ chains remain in a development or limited release phase as of early 2026 ⌛.

Evaluation Guidance

• API Latency Audit: Technical teams must measure the RTT (Round Trip Time) between Cryptohopper’s cloud clusters (e.g., Azure West Europe) and the exchange API endpoints (e.g., Binance AWS Tokyo) to calibrate high-frequency strategies.
• Slippage Simulation: Evaluators should validate backtesting accuracy by comparing simulated results with live paper-trading data, as internal liquidity modeling algorithms are not publicly disclosed 🌑.
• Credential Isolation: Audit API key permissions to ensure 'Read/Trade' scopes are active while 'Withdrawal' rights are strictly disabled to minimize the attack surface.