Wolf Trading Bot
Market Scanner + AI Signal Engine
A real-time stock and crypto market scanner that connects to live financial data APIs, runs every ticker through an n8n analysis pipeline, scores them against momentum, volume, and risk criteria, and surfaces high-conviction signals — all displayed in a custom terminal dashboard built from scratch.
The dashboard updates live via WebSockets, shows a 4-column market scanner table, individual signal breakdowns, a risk management panel, an activity log feed, and a news sentiment tracker — all wired through n8n.
// HOW IT WAS BUILT
// CAPABILITIES DEMONSTRATED
- Real-time data ingestion from multiple financial APIs
- n8n parallel workflow execution at scale
- AI-powered pattern recognition & scoring
- Custom live dashboard with WebSocket data push
- Risk management logic & portfolio calculations
- News sentiment analysis with NLP
This dashboard is actively running on WolfWright.com and scanning markets in real time. Click "View Live Dashboard" to see it in action.
// DASHBOARD PANELS
AI Prediction Engine
1 credit / runAn n8n workflow that pulls live sports odds from real-time APIs, passes them through a GPT analysis chain, and returns structured, high-confidence prediction sets — complete with reasoning and confidence scores.
THE PROBLEM
Sports analysts and enthusiasts spend hours manually reviewing odds, team stats, and injury reports before building predictions. The process is slow, inconsistent, and easy to bias.
THE SOLUTION
A single n8n workflow with 8 nodes: API fetch → data normalization → AI analysis → output formatting. Users describe what they want in plain English and get a structured prediction set in seconds.
HOW IT WAS BUILT
Lead Generation Agent
1 credit / searchEnter a business type and location — the agent searches, scrapes, and returns a formatted list of qualified leads with contact info, enriched with AI-generated outreach context.
THE PROBLEM
Sales teams waste 40%+ of their time manually finding and qualifying leads from Google, LinkedIn, and directories. The data is scattered, unformatted, and stale.
THE SOLUTION
An n8n workflow triggered by a webhook: takes user input → queries SerpAPI and business directories → AI enriches each lead → returns a formatted, ready-to-use list.
HOW IT WAS BUILT
AI Chatbot
1 credit / messageA conversational AI assistant backed by an n8n webhook pipeline. Supports text and image inputs, maintains conversation context, and demonstrates how to build a production-ready AI chatbot as a service.
THE PROBLEM
Most businesses need a custom AI assistant but don't want to pay $50k+ for a custom solution or lock into rigid SaaS tools that don't fit their workflow.
THE SOLUTION
A modular n8n chatbot architecture: frontend sends messages to a WP REST endpoint → n8n processes with Claude → returns formatted markdown responses. Easily customizable for any persona or knowledge base.
HOW IT WAS BUILT
RAG Document Agent
2 credits / queryUpload your documents, PDFs, or knowledge base and ask questions. The Retrieval-Augmented Generation pipeline chunks, embeds, and stores your content — then retrieves and synthesizes answers with citations.
THE PROBLEM
Companies have thousands of documents but no way to query them intelligently. Employees waste hours searching for answers that already exist in internal docs.
THE SOLUTION
An n8n RAG pipeline: document upload → chunking → embedding → vector store → query → retrieval → AI synthesis. Answers are grounded in your actual documents with source citations.
HOW IT WAS BUILT
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