Build an AI Agent That Trades Bitcoin While You Sleep

Stop trading on emotion. Start trading on edge.

NEURAL TRADE is a complete technical course on building an AI-powered Bitcoin trading agent — from environment setup to live signal deployment — in under a week.

The Problem Most Traders Never Solve

Most traders spend years trying to remove emotion from their decisions:

• They panic-sell during red candles
• They chase pumps they should have ignored
• They break their own rules when it matters most

An AI agent starts with zero emotions. It doesn't feel FOMO. It doesn't panic. It doesn't get tired at 3 AM. It follows the rules — every single time.

This course teaches you how to build one.

What You'll Build

A modular AI trading agent with:

• A data ingestion layer pulling live BTC/USDT market data
• A signal engine that scans for statistical market inefficiencies
• A risk management system that enforces position sizing and stop-losses automatically
• A monitoring dashboard showing win rate, equity curve, and agent status in real-time

Core Features

• Master AI Agent Prompt — a production-grade system prompt, copy-paste ready, that turns any LLM API into a structured signal generator
• No emotion, no prediction — the agent looks for edge, not direction
• 1% risk rule enforced — built into the prompt at the architecture level
• Kill switch built-in — agent halts automatically if drawdown limits are breached
• 48-hour paper trading sprint — test the system with zero risk before going live
• 7 structured modules — each builds on the last, no skipped steps

Course Curriculum

What's Included

• ✅ 7 video modules with step-by-step walkthroughs
• ✅ Master AI Agent Prompt (neural_trade_agent_v1.txt) — copy-paste ready
• ✅ Python signal loop starter code with exchange connector
• ✅ Backtesting Jupyter notebook + 2-year BTC/USDT dataset
• ✅ Risk management spreadsheet calculator
• ✅ Lifetime access including all future updates

Who This Is For

• Developers curious about applying AI to financial systems
• Traders who want to understand systematic, rules-based approaches
• Anyone who has tried manual trading and wants to remove the emotional variable
• Builders who want to understand how algorithmic trading systems are architected

Requirements

• Basic comfort with running terminal commands (copy-paste level)
• A free account on a crypto exchange that supports paper trading (e.g. Binance Testnet)
• Access to any LLM API (Claude, OpenAI, or local model)
• No prior trading experience required

Risk Disclosure

⚠️ This course is for educational purposes only.

Cryptocurrency trading involves significant financial risk. You may lose all of your invested capital. Nothing in this course constitutes financial or investment advice. The instructor makes no guarantees of profit or specific trading outcomes. Any results shown — hypothetical or historical — are not indicative of future performance. Only trade with capital you can afford to lose entirely.

Build your edge. Control your risk. Trade with a system that never panics.