Agentic trading platforms for crypto assemble autonomous AI agents that move beyond chat assistance to perform continuous market analysis, generate tradable signals, and execute orders across exchanges and on‑chain venues. This topic covers the stack and ecosystem needed to build, deploy, govern, and monetize those agents: agent marketplaces and low-code agent builders for non‑developers, agent frameworks and orchestration layers for multistep workflows, market‑intelligence tools that fuse on‑chain and off‑chain data, and trading chatbots or developer tools for hands‑on control and auditability. Key building blocks include low‑code/no‑code platforms like Lindy for rapid agent creation and IBM watsonx Assistant for enterprise multi‑agent orchestrations; agentic automation engines such as Adept that interact with software interfaces; large models and developer APIs (Google Gemini, Anthropic’s Claude family, Code Llama) for analysis, signal generation, and strategy synthesis; developer tooling like GitHub Copilot for faster implementation; and API layers such as AskCodi to host or route custom models. Together these components enable use cases from continuous sentiment and on‑chain signal monitoring to automated rebalancing, spread capture, and execution optimization. As of 2026, demand for these platforms is driven by more sophisticated on‑chain data streams, wider availability of multimodal models, and enterprise interest in safe automation. At the same time, the space requires robust governance: versioned strategies, backtesting, explainability, rate limits, permissions, and regulatory compliance are essential to manage market, operational, and legal risk. Evaluating platforms means balancing ease of agent creation, model choice and hosting, connectors to exchanges and wallets, and built‑in controls for auditability and failover.