HumationHuman + Automation
Back to Catalog

Automated cryptocurrency trading bot with ICT methodology, GPT-4o & Coinbase

Tegar karunia ilhamTegar karunia ilham
2688 views
2/3/2026
n8n
Official Page

Description

🎯 Overview

An advanced automated trading bot that implements ICT (Inner Circle Trader) methodology and Smart Money Concepts for cryptocurrency trading. This workflow combines AI-powered market analysis with automated trade execution through Coinbase Advanced Trading API.

⚡ Key Features

📊 ICT Trading Strategy Implementation

  • Kill Zone Detection: Automatically identifies optimal trading sessions (Asian, London, New York kill zones)
  • Smart Money Concepts: Analyzes market structure breaks, liquidity grabs, fair value gaps, and order blocks
  • Session Validation: Real-time GMT time tracking with session strength calculations
  • Structure Analysis: Detects BOS (Break of Structure) and CHOCH (Change of Character) patterns

🤖 AI-Powered Analysis

  • GPT-4 Integration: Advanced market analysis using OpenAI's latest model
  • Confidence Scoring: AI generates confidence scores (0-100) for each trading signal
  • Risk Assessment: Automated risk level evaluation (LOW/MEDIUM/HIGH)
  • ICT-Specific Prompts: Custom prompts designed for Inner Circle Trader methodology

🔄 Automated Trading Flow

  1. Signal Reception: Receives trading signals via Telegram webhook
  2. Data Extraction: Parses symbol, action, price, and technical indicators
  3. Session Validation: Verifies current kill zone and trading session strength
  4. Market Data: Fetches real-time data from Coinbase Advanced Trading API
  5. AI Analysis: Processes signals through GPT-4 with ICT-specific analysis
  6. Quality Filter: Multi-condition filtering based on confidence, session, and structure
  7. Trade Execution: Automated order placement through Coinbase API
  8. Documentation: Records all trades and rejections in Notion databases

📱 Multi-Platform Integration

  • Telegram Bot: Receives signals and sends formatted notifications
  • Coinbase Advanced: Real-time market data and trade execution
  • Notion Database: Comprehensive trade logging and analysis tracking
  • Webhook Support: External system integration capabilities

🛠️ Setup Requirements

API Credentials Needed:

  • Coinbase Advanced Trading API (API Key, Secret, Passphrase)
  • OpenAI API Key (GPT-4 access)
  • Telegram Bot Token and Chat ID
  • Notion Integration (Database IDs for trade records)

Environment Variables:

TELEGRAM_CHAT_ID=your_chat_id
NOTION_TRADING_DB_ID=your_trading_database_id
NOTION_REJECTED_DB_ID=your_rejected_signals_database_id
WEBHOOK_URL=your_external_webhook_url

📈 Trading Logic

Kill Zone Priority System:

  • London & New York Sessions: HIGH priority (0.9 strength)
  • Asian & London Close: MEDIUM priority (0.6 strength)
  • Off Hours: LOW priority (0.1 strength)

Signal Validation Criteria:

  • Signal quality must not be "LOW"
  • Confidence score ≥ 60%
  • Active kill zone session required
  • ICT structure alignment confirmed

🎛️ Workflow Components

  1. Extract ICT Signal Data: Parses incoming Telegram messages for trading signals
  2. ICT Session Validator: Determines current kill zone and session strength
  3. Get Coinbase Market Data: Fetches real-time cryptocurrency data
  4. ICT AI Analysis: GPT-4 powered analysis with ICT methodology
  5. Parse ICT AI Analysis: Processes AI response with fallback mechanisms
  6. ICT Quality & Session Filter: Multi-condition signal validation
  7. Execute ICT Trade: Automated trade execution via Coinbase API
  8. Create ICT Trading Record: Logs successful trades to Notion
  9. Generate ICT Notification: Creates formatted Telegram alerts
  10. Log ICT Rejected Signal: Records filtered signals for analysis

🚀 Use Cases

  • Automated ICT-based cryptocurrency trading
  • Smart Money Concepts implementation
  • Kill zone session trading
  • AI-enhanced market structure analysis
  • Professional trading documentation and tracking

⚠️ Risk Management

  • Built-in session validation prevents off-hours trading
  • AI confidence scoring filters low-quality signals
  • Comprehensive logging for performance analysis
  • Automated stop-loss and take-profit calculations

This workflow is perfect for traders familiar with ICT methodology who want to automate their Smart Money Concepts trading strategy with AI-enhanced decision making.

n8n Cryptocurrency Trading Bot with ICT Methodology and GPT-4o (Coinbase)

This n8n workflow demonstrates a conceptual framework for an automated cryptocurrency trading bot, incorporating elements of the ICT (Inner Circle Trader) methodology and leveraging OpenAI's GPT-4o for potential analysis or decision-making, with Telegram for notifications.

Disclaimer: This workflow is a conceptual example and should not be used for live trading without thorough testing, understanding of the underlying logic, and significant modifications to suit real-world trading conditions and risk management. Cryptocurrency trading involves substantial risk.

What it does

This workflow outlines a potential strategy for an automated trading bot:

  1. Triggers on Telegram Message: The workflow is initiated by a message received via a Telegram bot. This could be used to send commands or signals to the bot.
  2. Processes Telegram Input: The received Telegram message content is processed.
  3. Conditional Logic: An If node evaluates the processed message, likely to determine if a specific command or signal has been received.
  4. OpenAI Integration: If the condition is met (e.g., a "trade" command), the workflow interacts with OpenAI (potentially GPT-4o) to generate a response or analysis. This could be used to interpret market data, suggest trade parameters, or confirm a trading decision based on ICT principles.
  5. HTTP Request (Trading Action): An HTTP Request node is included, which would typically be configured to interact with a cryptocurrency exchange API (like Coinbase, as hinted by the directory name) to execute trades (buy/sell).
  6. Notion Logging (Optional): A Notion node is present, suggesting that trade details, analysis, or other relevant information could be logged to a Notion database for record-keeping or further analysis.
  7. Telegram Notification: The workflow sends a message back to Telegram, likely to confirm the action taken, provide the OpenAI analysis, or report on the trade status.
  8. Respond to Webhook (Placeholder): A "Respond to Webhook" node is included, which might be a remnant or a placeholder for future integration with other systems that trigger the workflow via a webhook and expect a response.
  9. Code Node (Custom Logic): A Code node is available for executing custom JavaScript logic, which could be used for complex calculations, data manipulation, or implementing specific ICT methodology rules.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Telegram Bot: A Telegram bot token and a chat ID to send and receive messages.
  • OpenAI API Key: An OpenAI API key with access to models like GPT-4o.
  • Cryptocurrency Exchange Account: An account with a cryptocurrency exchange (e.g., Coinbase) and its corresponding API keys/secrets for programmatic trading.
  • Notion Account (Optional): A Notion integration token and database ID if you intend to log data to Notion.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Telegram: Set up a Telegram credential with your bot token. Configure the Telegram Trigger node to listen for messages and the Telegram node to send messages to your desired chat ID.
    • OpenAI: Set up an OpenAI credential with your API key.
    • HTTP Request: Configure the HTTP Request node with the necessary authentication and API endpoints for your chosen cryptocurrency exchange (e.g., Coinbase). This will involve setting the URL, headers (for authentication), and request body for buy/sell orders.
    • Notion (Optional): Set up a Notion credential with your integration token. Configure the Notion node with the database ID where you want to log information.
  3. Review and Customize Nodes:
    • Telegram Trigger: Ensure it's configured to listen for the correct messages or commands you want to use to initiate trades.
    • If Node: Adjust the conditions in the If node to match the specific commands or criteria you want to use to branch your workflow logic.
    • OpenAI Node: Customize the prompt to GPT-4o to provide the market data or context needed for analysis, and specify how you want to use its output for trading decisions.
    • HTTP Request Node: Crucially, define the exact API calls for buying and selling on your chosen exchange. This includes specifying the currency pair, amount, order type (market/limit), and any other required parameters. Start with test environments or very small amounts.
    • Code Node: Implement any custom logic for trade signals, risk management, position sizing, or ICT-specific indicators.
    • Notion Node: Define what data you want to store in Notion (e.g., trade entry, exit, profit/loss, OpenAI analysis).
    • Telegram Node: Customize the messages sent back to you (e.g., "Trade executed: BUY BTC at $X," "OpenAI analysis: ...").
  4. Activate the Workflow: Once configured, activate the workflow.
  5. Testing: Thoroughly test this workflow in a simulated or test environment before deploying it with real funds. Start with small, manual triggers and verify all steps work as expected. Understand the API responses and error handling.

Related Templates

Automate interior design lead qualification with AI & human approval to Notion

Overview This automated workflow intelligently qualifies interior design leads, generates personalized client emails, and manages follow-up through a human-approval process. Built with n8n, Claude AI, Telegram approval, and Notion database integration. ⚠️ Hosting Options This template works with both n8n Cloud and self-hosted instances. Most nodes are native to n8n, making it cloud-compatible out of the box. What This Template Does Automated Lead Management Pipeline: Captures client intake form submissions from website or n8n forms AI-powered classification into HOT/WARM/COLD categories based on budget, project scope, and commitment indicators Generates personalized outreach emails tailored to each lead type Human approval workflow via Telegram for quality control Email revision capability for rejected drafts Automated client email delivery via Gmail Centralized lead tracking in Notion database Key Features ✅ Intelligent Lead Scoring: Analyzes 12+ data points including budget (AED), space count, project type, timeline, and style preferences ✅ Personalized Communication: AI-generated emails reference specific client details, demonstrating genuine understanding ✅ Quality Control: Human-in-the-loop approval via Telegram prevents errors before client contact ✅ Smart Routing: Different workflows for qualified leads (meeting invitations) vs. unqualified leads (respectful alternatives) ✅ Revision Loop: Rejected emails automatically route to revision agent for improvements ✅ Database Integration: All leads stored in Notion for pipeline tracking and analytics Use Cases Interior design firms managing high-volume lead intake Architecture practices with complex qualification criteria Home renovation companies prioritizing project value Any service business requiring budget-based lead scoring Sales teams needing approval workflows before client contact Prerequisites Required Accounts & API Keys: Anthropic Claude API - For AI classification and email generation Telegram Bot Token - For approval notifications Gmail Account - For sending client emails (or any SMTP provider) Notion Account - For lead database storage n8n Account - Cloud or self-hosted instance Technical Requirements: Basic understanding of n8n workflows Ability to create Telegram bots via BotFather Gmail app password or OAuth setup Notion database with appropriate properties Setup Instructions Step 1: Clone and Import Template Copy this template to your n8n instance (cloud or self-hosted) All nodes will appear as inactive - this is normal Step 2: Configure Form Trigger Open the Client Intake Form Trigger node Choose your trigger type: For n8n forms: Configure form fields matching the template structure For webhook: Copy webhook URL and integrate with your website form Required form fields: First Name, Second Name, Email, Contact Number Project Address, Project Type, Spaces Included Budget Range, Completion Date, Style Preferences Involvement Level, Previous Experience, Inspiration Links Step 3: Set Up Claude AI Credentials Obtain API key from https://console.anthropic.com In n8n: Create new credential → Anthropic → Paste API key Apply credential to these nodes: AI Lead Scoring Engine Personalized Client Outreach Email Generator Email Revision Agent Step 4: Configure Telegram Approval Bot Create bot via Telegram's @BotFather Copy bot token Get your Telegram Chat ID (use @userinfobot) In n8n: Create Telegram credential with bot token Configure Human-in-the-Loop Email Approval node: Add your Chat ID Customize approval message format if desired Step 5: Set Up Gmail Sending Enable 2-factor authentication on Gmail account Generate app password: Google Account → Security → App Passwords In n8n: Create Gmail credential using app password Configure Client Email Delivery node with sender details Step 6: Connect Notion Database Create Notion integration at https://www.notion.so/my-integrations Copy integration token Create database with these properties: Client Name (Title), Email (Email), Contact Number (Phone) Project Address (Text), Project Type (Multi-select) Spaces Included (Text), Budget (Select), Timeline (Date) Classification (Select: HOT/WARM/COLD), Confidence (Select) Estimated Value (Number), Status (Select) Share database with your integration In n8n: Add Notion credential → Paste token Configure Notion Lead Database Manager with database ID Step 7: Customize Classification Rules (Optional) Open AI Lead Scoring Engine node Review classification criteria in the prompt: HOT: 500k+ AED, full renovations, 2+ spaces WARM: 100k+ AED, 2+ spaces COLD: <100k AED OR single space Adjust thresholds to match your business requirements Modify currency if not using AED Step 8: Personalize Email Templates Open Personalized Client Outreach Email Generator node Customize: Company name and branding Signature placeholders ([Your Name], [Title], etc.) Tone and style preferences Alternative designer recommendations for COLD leads Step 9: Test the Workflow Activate the workflow Submit a test form with sample data Monitor each node execution in n8n Check Telegram for approval message Verify email delivery and Notion database entry Step 10: Set Up Error Handling (Recommended) Add error workflow trigger Configure notifications for failed executions Set up retry logic for API failures Workflow Node Breakdown Client Intake Form Trigger Captures lead data from website forms or n8n native forms with all project details. AI Lead Scoring Engine Analyzes intake data using structured logic: budget validation, space counting, and multi-factor evaluation. Returns HOT/WARM/COLD classification with confidence scores. Lead Classification Router Routes leads into three priority workflows based on AI classification, optimizing resource allocation. Sales Team Email Notifier Sends instant alerts to sales representatives with complete lead details and AI reasoning for internal tracking. Personalized Client Outreach Email Generator AI-powered composer creating tailored responses demonstrating genuine understanding of client vision, adapted by lead type. Latest Email Version Controller Captures most recent email output ensuring only final approved version proceeds to delivery. Human-in-the-Loop Email Approval Telegram-based review checkpoint sending generated emails to team member for quality control before client delivery. Approval Decision Router Evaluates reviewer's response, routing approved emails to client delivery or rejected emails to revision agent. Email Revision Agent AI-powered editor refining rejected emails based on feedback while maintaining personalization and brand voice. Client Email Delivery Sends final approved personalized emails demonstrating understanding of project vision with clear next steps. Notion Lead Database Manager Records all potential clients with complete intake data, classification results, and tracking information for pipeline management. Customization Tips Adjust Classification Thresholds: Modify budget ranges and space requirements in the AI Lead Scoring Engine prompt to match your market and service level. Multi-Language Support: Update all AI agent prompts with instructions for your target language. Claude supports 100+ languages. Additional Routing: Add branches for special cases like urgent projects, VIP clients, or specific geographic regions. CRM Integration: Replace Notion with HubSpot, Salesforce, or Airtable using respective n8n nodes. SMS Notifications: Add Twilio node for immediate HOT lead alerts to mobile devices. Troubleshooting Issue: Telegram approval not received Verify bot token is correct Confirm chat ID matches your Telegram account Check bot is not blocked Issue: Claude API errors Verify API key validity and credits Check prompt length isn't exceeding token limits Review rate limits on your Anthropic plan Issue: Gmail not sending Confirm app password (not regular password) is used Check "Less secure app access" if using older method Verify daily sending limits not exceeded Issue: Notion database not updating Confirm integration has access to database Verify property names match exactly (case-sensitive) Check property types align with data being sent Template Metrics Execution Time: ~30-45 seconds per lead (including AI processing) API Calls: 2-3 Claude requests per lead (classification + email generation, +1 if revision) Cost Estimate: ~$0.05-0.15 per lead processed (based on Claude API pricing) Support & Community n8n Community Forum: https://community.n8n.io Template Issues: Report bugs or suggest improvements via n8n template feedback Claude Documentation: https://docs.anthropic.com Notion API Docs: https://developers.notion.com License This template is provided as-is under MIT license. Modify and adapt freely for your business needs. --- Version: 1.0 Last Updated: October 2025 Compatibility: n8n v1.0+ (Cloud & Self-Hosted), Claude API v2024-10+

Jameson KanakulyaBy Jameson Kanakulya
201

Automated UGC video generator with Gemini images and SORA 2

This workflow automates the creation of user-generated-content-style product videos by combining Gemini's image generation with OpenAI's SORA 2 video generation. It accepts webhook requests with product descriptions, generates images and videos, stores them in Google Drive, and logs all outputs to Google Sheets for easy tracking. Main Use Cases Automate product video creation for e-commerce catalogs and social media. Generate UGC-style content at scale without manual design work. Create engaging video content from simple text prompts for marketing campaigns. Build a centralized library of product videos with automated tracking and storage. How it works The workflow operates as a webhook-triggered process, organized into these stages: Webhook Trigger & Input Accepts POST requests to the /create-ugc-video endpoint. Required payload includes: product prompt, video prompt, Gemini API key, and OpenAI API key. Image Generation (Gemini) Sends the product prompt to Google's Gemini 2.5 Flash Image model. Generates a product image based on the description provided. Data Extraction Code node extracts the base64 image data from Gemini's response. Preserves all prompts and API keys for subsequent steps. Video Generation (SORA 2) Sends the video prompt to OpenAI's SORA 2 API. Initiates video generation with specifications: 720x1280 resolution, 8 seconds duration. Returns a video generation job ID for polling. Video Status Polling Continuously checks video generation status via OpenAI API. If status is "completed": proceeds to download. If status is still processing: waits 1 minute and retries (polling loop). Video Download & Storage Downloads the completed video file from OpenAI. Uploads the MP4 file to Google Drive (root folder). Generates a shareable Google Drive link. Logging to Google Sheets Records all generation details in a tracking spreadsheet: Product description Video URL (Google Drive link) Generation status Timestamp Summary Flow: Webhook Request → Generate Product Image (Gemini) → Extract Image Data → Generate Video (SORA 2) → Poll Status → If Complete: Download Video → Upload to Google Drive → Log to Google Sheets → Return Response If Not Complete: Wait 1 Minute → Poll Status Again Benefits: Fully automated video creation pipeline from text to finished product. Scalable solution for generating multiple product videos on demand. Combines cutting-edge AI models (Gemini + SORA 2) for high-quality output. Centralized storage in Google Drive with automatic logging in Google Sheets. Flexible webhook interface allows integration with any application or service. Retry mechanism ensures videos are captured even with longer processing times. --- Created by Daniel Shashko

Daniel ShashkoBy Daniel Shashko
1166

Track personal finances in Google Sheets with AI agent via Slack

Who's it for This workflow is perfect for individuals who want to maintain detailed financial records without the overhead of complex budgeting apps. If you prefer natural language over data entry forms and want an AI assistant to handle the bookkeeping, this template is for you. It's especially useful for: People who want to track cash and online transactions separately Anyone who lends money to friends/family and needs debt tracking Users comfortable with Slack as their primary interface Those who prefer conversational interactions over manual spreadsheet updates What it does This AI-powered finance tracker transforms your Slack workspace into a personal finance command center. Simply mention your bot with transactions in plain English (e.g., "₹500 cash food, borrowed ₹1000 from John"), and the AI agent will: Parse transactions using natural language understanding via Google Gemini Calculate balance changes for cash and online accounts Show a preview of changes before saving anything Update Google Sheets only after you approve Track debts (who owes you, who you owe, repayments) Send daily reminders at 11 PM with current balances and active debts The workflow maintains conversational context using PostgreSQL memory, so you can say things like "yesterday's transactions" or "that payment to Sarah" and it understands the context. How it works Scheduled Daily Check-in (11 PM) Fetches current balances from Google Sheets Retrieves all active debts Formats and sends a Slack message with balance summary Prompts you to share the day's transactions AI Agent Transaction Processing When you mention the bot in Slack: Phase 1: Parse & Analyze Extracts amount, payment type (cash/online), category (food, travel, etc.) Identifies transaction type (expense, income, borrowed, lent, repaid) Stores conversation context in PostgreSQL memory Phase 2: Calculate & Preview Reads current balances from Google Sheets Calculates new balances based on transactions Shows formatted preview with projected changes Waits for your approval ("yes"/"no") Phase 3: Update Database (only after approval) Logs transactions with unique IDs and timestamps Updates debt records with person names and status Recalculates and stores new balances Handles debt lifecycle (Active → Settled) Phase 4: Confirmation Sends success message with updated balances Shows active debts summary Includes logging timestamp Requirements Essential Services: n8n instance (self-hosted or cloud) Slack workspace with admin access Google account Google Gemini API key PostgreSQL database Recommended: Claude AI model (mentioned in workflow notes as better alternative to Gemini) How to set up Google Sheets Setup Create a new Google Sheet with three tabs named exactly: Balances Tab: | Date | CashBalance | OnlineBalance | Total_Balance | |------|--------------|----------------|---------------| Transactions Tab: | TransactionID | Date | Time | Amount | PaymentType | Category | TransactionType | PersonName | Description | Added_At | |----------------|------|------|--------|--------------|----------|------------------|-------------|-------------|----------| Debts Tab: | PersonName | Amount | Type | Datecreated | Status | Notes | |-------------|--------|------|--------------|--------|-------| Add header rows and one initial balance row in the Balances tab with today's date and starting amounts. Slack App Setup Go to api.slack.com/apps and create a new app Under OAuth & Permissions, add these Bot Token Scopes: app_mentions:read chat:write channels:read Install the app to your workspace Copy the Bot User OAuth Token Create a dedicated channel (e.g., personal-finance-tracker) Invite your bot to the channel Google Gemini API Visit ai.google.dev Create an API key Save it for n8n credentials setup PostgreSQL Database Set up a PostgreSQL database (you can use Supabase free tier): Create a new project Note down connection details (host, port, database name, user, password) The workflow will auto-create the required table n8n Workflow Configuration Import the workflow and configure: A. Credentials Google Sheets OAuth2: Connect your Google account Slack API: Add your Bot User OAuth Token Google Gemini API: Add your API key PostgreSQL: Add database connection details B. Update Node Parameters All Google Sheets nodes: Select your finance spreadsheet Slack nodes: Select your finance channel Schedule Trigger: Adjust time if you prefer a different check-in hour (default: 11 PM) Postgres Chat Memory: Change sessionKey to something unique (e.g., financetrackeryour_name) Keep tableName as n8nchathistory_finance or rename consistently C. Slack Trigger Setup Activate the "Bot Mention trigger" node Copy the webhook URL from n8n In Slack App settings, go to Event Subscriptions Enable events and paste the webhook URL Subscribe to bot event: app_mention Save changes Test the Workflow Activate both workflow branches (scheduled and agent) In your Slack channel, mention the bot: @YourBot ₹100 cash snacks Bot should respond with a preview Reply "yes" to approve Verify Google Sheets are updated How to customize Change Transaction Categories Edit the AI Agent's system message to add/remove categories. Current categories: travel, food, entertainment, utilities, shopping, health, education, other Modify Daily Check-in Time Change the Schedule Trigger's triggerAtHour value (0-23 in 24-hour format). Add Currency Support Replace ₹ with your currency symbol in: Format Daily Message code node AI Agent system prompt examples Switch AI Models The workflow uses Google Gemini, but notes recommend Claude. To switch: Replace "Google Gemini Chat Model" node Add Claude credentials Connect to AI Agent node Customize Debt Types Modify AI Agent's system prompt to change debt handling logic: Currently: IOwe and TheyOwe_Me You can add more types or change naming Add More Payment Methods Current: cash, online To add more (e.g., credit card): Update AI Agent prompt Modify Balances sheet structure Update balance calculation logic Change Approval Keywords Edit AI Agent's Phase 2 approval logic to recognize different approval phrases. Add Spending Analytics Extend the daily check-in to calculate: Weekly/monthly spending summaries Category-wise breakdowns Use additional Code nodes to process transaction history Important Notes ⚠️ Never trigger with normal messages - Only use app mentions (@botname) to avoid infinite loops where the bot replies to its own messages. 💡 Context Awareness - The bot remembers conversation history, so you can reference "yesterday", "last week", or previous transactions naturally. 🔒 Data Privacy - All your financial data stays in your Google Sheets and PostgreSQL database. The AI only processes transaction text temporarily. 📊 Backup Regularly - Export your Google Sheets periodically as backup. --- Pro Tips: Start with small test transactions to ensure everything works Use consistent person names for debt tracking The bot understands various formats: "₹500 cash food" = "paid 500 rupees in cash for food" You can batch transactions in one message: "₹100 travel, ₹200 food, ₹50 snacks"

Habeeb MohammedBy Habeeb Mohammed
448