Binance SM price-24hrStats-OrderBook-Kline tool
Needs changesNeeds changes. This template uses 2 thing(s) that n8n 3.0 removes: HTTP Request Tool (legacy), AI Agent v1 (old agent modes). 2 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs when another workflow calls it. Along the way it connects HTTP Request and OpenAI Chat Model. It also calls api.binance.com over HTTP.
How it runs
Trigger: When another workflow calls it.
- Binance SM Price-24hrStats-OrderBook-Kline Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 4 tools (getKlines, get24hrStats, getOrderBook, getCurrentPrice); memory: Simple Memory
Services it uses
HTTP calls to: api.binance.com
Before you upgrade to n8n 3.0
2 things in this workflow are removed in n8n 3.0. Fix them before you upgrade:
- HTTP Request Tool (legacy) in getCurrentPrice, get24hrStats, getOrderBook…: replace with HTTP Request node connected to the AI Agent's Tool input.
- AI Agent v1 (old agent modes) in Binance SM Price-24hrStats-OrderBook-Kline Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
| Removed in 3.0 | Replace with |
|---|---|
| HTTP Request Tool (legacy) getCurrentPrice, get24hrStats, getOrderBook, getKlines | HTTP Request node connected to the AI Agent's Tool input |
| AI Agent v1 (old agent modes) Binance SM Price-24hrStats-OrderBook-Kline Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (5)
- HTTP Request Tool
@n8n/n8n-nodes-langchain.toolHttpRequest - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Execute Workflow Trigger
n8n-nodes-base.executeWorkflowTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
A powerful sub-agent that collects real-time market structure data from Binance for any trading pair — including price, volume, order book depth, and candlestick snapshots across multiple timeframes (15m, 1h, 4h, 1d). --- 🎥 Watch Tutorial: 🎯 Purpose This…