Theory is cheap.
Run the code.
Alphanume Learn is a 66-lesson course on systematic trading, taught in real Python against real market data. The free module starts with market foundations and progresses into runnable exercises. No setup, no videos, no toy datasets.
66 lessons · 12 modules · approximately 18 hours · $499 once · permanent access
$499 once. No subscription required. 5 free lessons. No account needed.
earnings_edge.py
Python · sample history
# One real question: do options overprice earnings moves? # Sample history: 12 straight earnings quarters, in percent. implied = [4.6, 4.1, 4.9, 4.4, 3.8, 4.2, 5.1, 4.7, 4.3, 3.9, 4.8, 4.5] realized = [2.1, 6.8, 1.4, 3.2, 4.1, 2.7, 4.0, 1.8, 2.5, 4.6, 1.1, 2.9] edge = [i - r for i, r in zip(implied, realized)] print(f"avg edge : {sum(edge) / len(edge):+.2f}pp") print(f"implied > realized : {sum(e > 0 for e in edge)} of {len(edge)} quarters")
avg edge : +1.34pp implied > realized : 9 of 12 quarters
✓ Output matches expected
The course becomes a working session.
The free module begins with market foundations, then puts its research loop into runnable exercises.
- Read the argument
- Each lesson opens with a testable claim about how a market behaves, stated in plain prose before any data is touched. The claim comes first so the data cannot seduce you later.
- Write and run the code
- As the free module progresses, an editor in the page gives you real market data to measure the claim yourself, in real Python, with nothing to install.
- Check the result
- Output is graded against the expected result, and quizzes attack the reasoning rather than the vocabulary. You leave each lesson knowing whether you actually got it.
Sixty-six lessons. One research loop, run across every niche worth trading.
12 modules · 66 lessons · approximately 18 hours
- 01
Why edges exist
Who is forced to act, why the pressure repeats, and what that leaves on the table.
- 02
The research loop
Hypothesis, data, measurement, attack. The loop every lesson repeats until it is a reflex.
- 03
How to trust a backtest
Lookahead, survivorship, costs, sample size. The ways research lies, and how to catch it lying.
- 04
Volatility and earnings
The volatility risk premium, implied against realized, and the scheduled catalysts that reprice it.
- 05
Index structures
SPX, 0DTE, and regime behavior at the index level, where the flows are largest.
- 06
Event-driven trades
Dilution, de-SPACs, distress, dividends, momentum, attention data. Mechanism first, then the trade.
- 07
Portfolio, risk, automation
Running the whole thing as a book, then teaching machines to run it without you watching.
The 5-lesson free module establishes the foundations and moves into runnable work. The remaining 61 lessons carry that process through research methods, strategies, portfolio construction, and automation. The full syllabus is public.
Course data is included. The platform is separate.
The $499 Learn purchase includes the data required by course exercises. It does not include ongoing general-purpose API access or production data-platform access. Those belong to Alphanume Pro, the separate ongoing data product. Active Pro members receive Learn while subscribed.
Written by Alphanume Research.
Alphanume Learn is written by the quant behind Alphanume Research and The Quant Galore, where the research is published in the open: hypothesis, data, code, result. Some ideas survive testing and some do not, and both outcomes get published. Nothing in the curriculum asks to be taken on faith. Every claim is a thing you run.
Start free, or own the course.
- Free module$0
- 5 lessons with no account required. The module starts with market foundations and progresses into runnable exercises.
- Alphanume Learn$499 once
- No subscription required. Permanent access to the 61 additional lessons, exercises, quizzes, saved progress, final capstone, and data required by course exercises. Future revisions and additions to this course are included.
- Alphanume ProSeparate subscription
- The ongoing data-platform and general-purpose API product. Active Pro members receive Learn while subscribed. Buying Learn for $499 does not include Pro or general-purpose production API access.
Start with 5 lessons before you buy.
The free module moves from market foundations to the research loop, then progresses into runnable exercises. No account required.