S00Live
Course Orientation
Meet the course goals, research boundaries, and starting points for different backgrounds.
HoppyQuant learning path
Start your quantitative research with one market question
No quantitative background required. Start by understanding the market, then learn to ask questions, find data, and test your ideas with evidence.
Begin with no prior experience
No background in stocks, quant, or Python required
Learn how research works
Ask questions, find data, and examine the evidence
Let AI help with the code
You decide whether the results are trustworthy
Complete learning path
From understanding markets to completing a study
The course is arranged in learning order. Start or continue your current unit, or open the outline to see what each lesson helps you solve.
Part 0
Before You Begin
Understand what the course offers, what it cannot promise, and where you should begin.
Part 1
Markets and Quantitative Thinking
Start with how markets work, then build a connected view of market forces, strategies, and quantitative research.
S01Live
What Is the Stock Market?
Understand the basic relationships among shares, companies, expectations, trading, and prices.
S02Live
What Affects the Stock Market?
Place companies, industries, the economy, policy, participants, news, and market traces on one factor map.
S03Live
A Three-Dimensional Map of Investment Strategies
Understand investment and trading approaches through advantage source, time scale, and research method.
S04Live
What Is Quantitative Research?
Turn fuzzy intuition into a research question that can be defined, computed, compared, and checked against evidence.
Part 2
Complete Quantitative Research with an AI Assistant
Move into a local research environment, learn validation and research-grade backtesting through two cases, then investigate your own market idea.
S05Live
Build Your Own AI Quant Lab
Organize data, code, and results on your computer, then work with an AI research assistant safely and reproducibly.
S06Live
Do Lucky Numbers Matter in Stocks?
Use a tightly defined lucky-number hypothesis to complete a first end-to-end quantitative experiment.
S07Live
Does Price Rebound After a Nine-Beat Count?
Study a technical signal that unfolds over time, including event definitions, observation windows, and comparisons.
S08Live
From Entry Rules to Backtest Review
Start with exit rules and limited capital, then review a backtest with costs, account simulation, and held-out data.
S09Live
If You Want to Research More Deeply
Keep examining a study through attribution, risk, statistical robustness, and real-world execution.