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Track Singapore COE Prices with AI Forecasting & Smart Buy Recommendations via Telegram

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Created by: Cheng Siong Chin || cschin

Cheng Siong Chin

Last update

Last update 8 hours ago

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Introduction

Automates Singapore COE price tracking with AI forecasts and buy/wait recommendations. Weekly scraping collects LTA data, enriches with economic indicators, predicts 6-month trends, and alerts users via Telegram/email—helping car buyers and fleet managers make data-driven purchase decisions while avoiding manual tracking.

How it Works

Weekly trigger scrapes LTA COE → validates → stores in Google Sheets → calculates indicators → AI forecasts trends → multi-scenario analysis → generates buy/wait signals → sends actionable alerts.

Setup Steps

  1. Add OpenAI/NVIDIA API credentials in n8n
  2. Authenticate Google Sheets and create spreadsheet
  3. Configure Telegram bot or Gmail SMTP
  4. Set weekly trigger (Thursday 9AM SGT post-bidding)
  5. Adjust alert thresholds in conditional nodes

Workflow

Schedule Trigger → Scrape COE → Validate → Store Sheets → Fetch Historical → Calculate Indicators → AI Prediction → Merge Economics → Multi-Scenario Analysis → Compare Conditions → Generate Dashboard → Send Alerts

Workflow Steps

  1. Scraping: Fetch LTA COE results with retry logic
  2. Validation: Check completeness, flag anomalies
  3. Storage: Append timestamped records to Sheets
  4. Enrichment: Calculate moving averages, volatility, seasonality
  5. AI Analysis: Forecast next 6 months with confidence intervals
  6. Decision Engine: Output buy/wait/monitor recommendation
  7. Reporting: Create dashboard and send alerts via Telegram/email

Prerequisites

OpenAI/NVIDIA API key, Google Sheets access, Telegram bot token or Gmail, basic COE category understanding

Use Cases

First-time buyers timing purchases, fleet operators coordinating bulk acquisitions

Customization

Add SMS alerts via Twilio, integrate loan calculators for total cost analysis

Benefits

Saves 5+ hours monthly, captures 10–18% price dips, provides predictive insights (potential $10K–$25K savings)