Block 1 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
WEEX Spot Market Quant AI Agent (All in One Multi Agent Trading System) Overview This multi agent n8n workflow delivers an automated, intelligent trading analysis system for the WEEX Spot Mark...
@n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.telegramtrigger, n8n-nodes-base.set, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.agenttool, n8n-nodes-base.rssfeedreadtool, n8n-nodes-base.httprequesttool
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Don Jayamaha Jr.
Original n8n.io sourceThis multi-agent n8n workflow delivers an automated, intelligent trading analysis system for the WEEX Spot Market. It uses GPT-4o to interpret user prompts, route them to the correct sub-agent tools, analyze technical indicators, price data, sentiment insights, and return concise trading signals via Telegram or downstream automations.
No need to download additional workflows—everything is embedded in this single orchestrated agent.
🔹 Single-entry architecture → Built-in orchestration logic with no external subworkflow dependencies 🔹 Multi-timeframe indicator analysis → 15m, 1h, 4h, and 1d 🔹 Sentiment + news insights from crypto sources 🔹 Live price, volume, kline, and order book analysis 🔹 LLM-powered signal evaluation using GPT-4o 🔹 Telegram integration for fast human queries or autonomous alerts
| Module | Description |
|---|---|
| ✅ Financial Analyst Tool | Routes prompts, interprets tokens, and triggers sub-agents |
| ✅ News & Sentiment Analyst Tool | Gathers real-time sentiment from crypto news sources |
| ✅ Technical Indicator Tools | 15m, 1h, 4h, 1d indicators using WEEX spot market data |
| ✅ Price & Order Book Agent | Fetches real-time stats, price, and structure |
| ✅ Trading Signal Evaluator | GPT-4o merges all data and generates trading decision |
User Input: “Should I long or short ETH on WEEX today?”
→ Financial Analyst Agent interprets the query
→ Fetches multi-timeframe indicators, live price, sentiment
→ GPT-4o evaluates conditions and creates recommendation
→ Output delivered via Telegram:
📈 ETH/USDT Overview • Price: $3,710 • 4h RSI: 64.5 – Slightly Overbought • MACD: Bullish Crossover • Market Sentiment: 🔼 Positive Recommendation: Consider long entry with stop at $3,640.
Follow these steps to fully deploy and operate the WEEX Quant AI Agent in your n8n environment:
🟢 Get Telegram Bot API Key
123456789:ABCdefGHIjkLMNopQRStuvWXyz)🔑 Add OpenAI / DeepSeek Chat API Key
📈 (Optional) WEEX API Keys
🔗 Connect Telegram to n8n
Telegram Trigger and Telegram node with your API key| Scenario | Outcome |
|---|---|
| “Is BTC bullish or bearish?” | Merged indicator + sentiment + price analysis summary |
| “Get 15m and 4h trends for SOL” | Multi-timeframe volatility vs macro trend report |
| “Latest crypto news on XRP” | Real-time filtered news + DeepSeek sentiment summary |
| “What’s the order book structure?” | Level-by-level spread analysis with buy/sell volumes |
🧾 © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade signal framework are IP-protected. No unauthorized rebranding or replication permitted.
📩 Connect with the Creator Don Jayamaha – LinkedIn Profile
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 57 workflow blocks. Download the JSON for the full node graph.
| Workflow | Multi-timeframe trading analysis for WEEX spot market with GPT-4o & Telegram |
|---|---|
| Complexity | advanced |
| Nodes | 57 |
| Categories | AI Chatbot, Multimodal AI |
| Author | Don Jayamaha Jr |
| Published | 27 Aug 2025 |
Use the JSON export at /data/workflows/7928/7928.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
WEEX Spot Market Quant AI Agent (All in One Multi Agent Trading System) Overview This multi agent n8n workflow delivers an automated, intelligent trading analysis system for the WEEX Spot Mark...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your AI Chatbot, Multimodal AI use case.