Binance SM price-24hrStats-OrderBook-Kline tool

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2/3/2026

Translation Webhook OpenAI GPT-4 Human-in-the-Loop

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 workflow powers the Quant AI system with:

✅ Real-time price feed (/ticker/price)
✅ 24-hour stats (OHLC, % change, volume via /ticker/24hr)
✅ Live order book depth (/depth)
✅ Latest candlestick data (/klines) for all major intervals

All outputs are parsed and formatted using GPT and returned to the parent agent (e.g., Financial Analyst Tool) as a Telegram-optimized summary.

⚙️ Workflow Architecture

| Node | Role | | ------------------------------------ | ------------------------------------------------------------ | | 🔗 Execute Workflow Trigger | Accepts input from parent workflow | | 🧠 Simple Memory | Stores session + symbol info | | 🤖 Binance SM Market Agent | Parses prompt, routes tool calls | | 💡 OpenAI Chat Model (gpt-4o-mini) | Converts raw data into a clean, readable format for Telegram | | 🌐 getCurrentPrice | Gets latest price | | 🌐 get24hrStats | Gets OHLC/volume over past 24 hours | | 🌐 getOrderBook | Gets top 100 bids and asks | | 🌐 getKlines | Gets latest 15m, 1h, 4h, and 1d candles |

📥 Input Requirements

This workflow is not called directly by the user. Instead, it is triggered by another workflow, such as:

{
  "message": "BTCUSDT",
  "sessionId": "539847013"
}

📤 Telegram Output Example

📊 BTCUSDT Market Overview

💰 Price: $63,220  
📈 24h Change: +2.3% | Volume: 45,210 BTC  

📉 Order Book  
• Top Bid: $63,190  
• Top Ask: $63,230  

🕰️ Latest Candles  
• 15m: O: $63,000 | C: $63,220 | Vol: 320 BTC  
• 1h : O: $62,700 | C: $63,300 | Vol: 980 BTC  
• 4h : O: $61,800 | C: $63,500 | Vol: 2,410 BTC  
• 1d : O: $59,200 | C: $63,220 | Vol: 7,850 BTC

✅ Use Cases

| Scenario | Output Provided | | ---------------------------------- | ------------------------------------------------------------ | | “Show current BTC price and trend” | Price, 24h stats, candles, and order book in one message | | “Candles for SOL” | 15m, 1h, 4h, 1d candlesticks for SOLUSDT | | Triggered by Quant AI system | Clean Telegram-ready summary with all structure tools merged |

🧩 Toolchain Breakdown

| Tool Name | Endpoint | Purpose | | ----------------- | ---------------------- | ------------------------------ | | getCurrentPrice | /api/v3/ticker/price | Latest trade price | | get24hrStats | /api/v3/ticker/24hr | 24h OHLC, % change, volume | | getOrderBook | /api/v3/depth | Top 100 bids and asks | | getKlines | /api/v3/klines | 1-candle snapshot across 4 TFs |

🚀 Installation Steps

Import the JSON into your n8n instance
Connect your OpenAI credentials for the Chat Model node
No Binance API key needed — public endpoints
Trigger this tool only via:
- Binance SM Financial Analyst Tool
- Binance Spot Market Quant AI Agent

🔐 Licensing & Attribution

🔗 For support: Don Jayamaha – LinkedIn

AI Agent for Binance Market Data Retrieval

This n8n workflow leverages an AI Agent to interact with Binance API endpoints, providing a conversational interface to retrieve various cryptocurrency market data. It acts as a smart tool that can understand user requests and fetch relevant information like 24-hour price statistics, order book data, and K-line (candlestick) data for specified symbols.

What it does

This workflow simplifies complex API interactions into natural language queries:

Triggers on external execution: The workflow is designed to be called by another n8n workflow, making it a reusable module for AI-driven tasks.
Initializes an AI Agent: It sets up a LangChain AI Agent that can understand and process natural language requests.
Configures an OpenAI Chat Model: The AI Agent uses an OpenAI Chat Model (e.g., GPT-3.5, GPT-4) to interpret user input and formulate a plan.
Maintains conversational memory: A "Simple Memory" node is included to allow the AI Agent to remember previous interactions within a session, enabling more natural and coherent conversations.
Provides an HTTP Request Tool: The AI Agent is equipped with an "HTTP Request Tool" that allows it to make API calls to external services, specifically designed for interacting with the Binance API. This tool is pre-configured to handle various Binance endpoints.
Processes user queries: When a request is received, the AI Agent determines which Binance API endpoint is needed (e.g., /api/v3/ticker/24hr, /api/v3/depth, /api/v3/klines), constructs the appropriate HTTP request using the provided tool, and retrieves the data.
Returns results: The retrieved market data is then returned as the output of the workflow.

Prerequisites/Requirements

n8n Instance: An active n8n instance to host and run the workflow.
OpenAI API Key: An API key for OpenAI to use their Chat Models (e.g., GPT-3.5, GPT-4). This needs to be configured as an n8n credential.
Binance Account (Optional): While many Binance API endpoints are public, some advanced features might require an API key and secret. This workflow is primarily designed for public endpoints, but the HTTP Request tool can be extended.

Setup/Usage

Import the workflow: Download the JSON content and import it into your n8n instance.
Configure OpenAI Credentials:
- In the "OpenAI Chat Model" node, select or create an OpenAI API credential.
- Enter your OpenAI API Key when prompted.
Configure the HTTP Request Tool:
- The "HTTP Request Tool" node is pre-configured to interact with the Binance API. You might need to review its settings (e.g., base URL, headers) to ensure it matches your specific requirements or if Binance API URLs change.
Activate the workflow: Toggle the workflow to "Active" in n8n.
Execute from another workflow: This workflow is intended to be called by another workflow using an "Execute Workflow" node. Pass the user's natural language query as input to the "AI Agent" node.

Example input to the AI Agent (from a calling workflow):

{
  "text": "What is the 24-hour price change for BTCUSDT?"
}

Another example:

{
  "text": "Get the order book for ETHUSDT with 5 limits."
}

The AI Agent will then use its tools to fetch the requested information from Binance and return the structured data.

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