Course Roadmap: What You'll Learn

You've made it through the Foundation level. You understand why most strategies fail, the difference between edges and strategies, and the full anatomy of a signals engine.

Now let's map out the entire journey ahead.

The 7 Levels of Quant Trading Mastery

This course is structured as a progressive journey. Each level builds on the previous one.

Level 1: Foundation (Complete)

Focus: Mindset shift—unlearning retail trading assumptions Outcome: You now think about trading differently than 95% of retail traders.

Level 2: Data

Focus: The fuel that powers everything What You'll Learn: Alternative data, open interest, funding rates, liquidations, order flow, data pipelines Outcome: Understand what institutions see that retail doesn't.

Level 3: Validation

Focus: Backtesting done right What You'll Learn: Lookahead bias, overfitting, walk-forward validation, sample size, Monte Carlo Outcome: Critically evaluate any strategy claim.

Level 4: Discovery

Focus: Finding real edges What You'll Learn: Systematic search, hypothesis generation, feature engineering, regime filtering Outcome: Framework for discovering genuine statistical edges.

Level 5: Risk

Focus: Position sizing and survival What You'll Learn: Kelly criterion, drawdown management, correlation, when to stop Outcome: Risk management that determines survival.

Level 6: Automation

Focus: Building the execution engine What You'll Learn: Signal generation, order execution, error handling, monitoring Outcome: Blueprints for automating strategy execution.

Level 7: Production

Focus: Going live and staying alive What You'll Learn: Paper to live transition, performance monitoring, continuous improvement Outcome: Ready to deploy real capital with proper safeguards.

Prerequisites

Required: Basic crypto trading knowledge, candlestick reading, basic math

Helpful: Basic Python, spreadsheets, trading experience

Not Required: Advanced math, programming expertise, finance degree

Tools We'll Reference

Data: Coinglass (free), TradingView (free), HyBlock ($600/mo), Exchange APIs

Development: Python with pandas, PostgreSQL, VSCode

Execution: Exchange accounts, CCXT library

Timeline

Reading only: ~17 hours across 43 lessons

With exercises: ~35-40 hours

Building something: Add 50-100 hours

Two Paths After This Course

Path 1: Build Your Own - Take this knowledge and build your own systems. We genuinely want some readers to succeed this way.

Path 2: Subscribe to Signals - Most will realize building this is a full-time job. The data costs alone ($600/month HyBlock + servers + engineering time) exceed what many want to invest.

Either path is valid. This course arms you to decide intelligently.

Next Steps

You've completed Foundation. Next: Level 2 - Data, starting with why price and volume alone put you at a disadvantage.

The real work begins now.