Personalized Trading Engine

The Personalized Trading Engine enables you to deliver intelligent, real-time trading experiences by layering user-specific trading data with high-fidelity market signals. Whether you're building dashboards, terminals, bots, or agents — this API powers context-aware interfaces that understand trader behaviour, market cycles, and alpha signals.

User-Level Context: Accept wallet addresses, open positions, trade logs, or uploaded images of charts and trading setups. Our systems process and store them securely to build personalised user states.

Market Intelligence Layer: Enrich every user context with token metadata, smart money movement, volatility zones, TA indicators, sentiment trends, and more.

Dynamic Context Engine: Behind the API lies a real-time context engine that continuously refines each user’s state based on the latest trades, market conditions, positioning, and visual inputs from uploaded images.continuously refines each user’s state based on the latest trades, market conditions, and positioning.

Plug-and-Play API Access: Surface intelligence via chatbots, dashboards, strategy modules, or internal tooling — through a single unified interface. Fully composable with other MCP modules.

Designed for Precision, Built for Autonomy

  • Low-latency delivery for reactive agents and UIs

  • Permissionless by design — you own the front-end; we handle the intelligence

  • Customisable outputs to fit retail apps, institutional dashboards, or protocol interfaces

What You Gain

  • Increases trading volume through actionable insights

  • Cuts user research time from ~30 mins to under 5 mins

  • Provides a reliable 24/7 signal layer for traders

  • Boosts user retention with continuous, personalised guidance

  • Improves decision accuracy by combining on-chain data, market signals, and user-specific context

Use Cases

  • Agentic trading bots with personalised strategies

  • Context-aware dashboards with predictive overlays

  • Wallet-native chat UIs for behavioral guidance

  • Image-based market context analysis

  • Integrations with DEXs, aggregators, or copy-trading tools

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