Analyze cryptocurrency market data with HTX API, GPT-4o and Telegram
Needs changesWhat this workflow does
This AI workflow has 17 nodes and runs on Telegram events (message). Along the way it connects OpenAI Chat Model, Telegram and HTTP Request. It also calls api.huobi.pro over HTTP.
How it runs
Trigger: On Telegram events (message).
- User Authentication (Replace Telegram ID) (Code): runs custom JavaScript code
- Adds "SessionId" (Edit Fields (Set)): sets 1 field: message
- HTX AI Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 9 tools (Think, 24h Stats, Calculator, Best Bid/Ask…); memory: Simple Memory
- Splits message is more than 4000 characters (Code): runs custom JavaScript code
- Telegram: uses Telegram
Services it uses
HTTP calls to: api.huobi.pro
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in HTX AI Agent (v1.8): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) HTX AI Agent (v1.8) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (10)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Telegram Trigger
n8n-nodes-base.telegramTrigger - Code
n8n-nodes-base.code - Edit Fields (Set)
n8n-nodes-base.set - Telegram
n8n-nodes-base.telegram - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Calculator
@n8n/n8n-nodes-langchain.toolCalculator - Think Tool
@n8n/n8n-nodes-langchain.toolThink - AI Agent
@n8n/n8n-nodes-langchain.agent - Http Request Tool
n8n-nodes-base.httpRequestTool
From the author
A fully autonomous, HTX Spot Market AI Agent (Huobi AI Agent) built using GPT-4o and Telegram. This workflow is the primary interface, orchestrating all internal reasoning, trading logic, and output formatting. --- ⚙️ Core Features 🧠 LLM-Powered…