[ 01 ] PROGRAM STRUCTURE

Twelve weeks. One capstone.

M01 FOUNDATION 2 WKS

Probability & Stochastic Processes for Traders

Random walks, martingales, Itô calculus made operational. Why your "edge" is a sample of size one.

  • Brownian motion & GBM
  • Markov chains for regime detection
  • Bayesian inference in trading
M02 STATISTICS 2 WKS

Inference, Bias & the Replication Crisis

P-hacking, selection bias, multiple testing — why 99% of backtests are fiction and how to catch it.

  • Bonferroni / FDR corrections
  • Deflated Sharpe Ratio (López de Prado)
  • Walk-forward & CPCV
M03 RISK 2 WKS

Risk Management Beyond Stop-Losses

VaR, CVaR, drawdown distributions. Position sizing as an optimization problem, not a vibe.

  • Kelly criterion & fractional Kelly
  • Risk parity & vol targeting
  • Tail risk & EVT
M04 PORTFOLIO 1 WK

Modern Portfolio Construction

From Markowitz to Black-Litterman to HRP. Covariance estimation when it actually matters.

  • Shrinkage estimators (Ledoit-Wolf)
  • Hierarchical Risk Parity
  • Robust optimization
M05 QUANT 2 WKS

Systematic Strategy Design

Mean reversion, momentum, carry, vol — the four horsemen, decomposed and rebuilt from first principles.

  • Factor zoo & signal decay
  • Cross-sectional vs time-series
  • Execution & transaction costs
M06 ML 2 WKS

Machine Learning — Honestly Applied

Where ML helps, where it overfits, and how to know the difference. Built on real, leakage-free pipelines.

  • Feature engineering for finance
  • Purged k-fold & embargo
  • Meta-labeling
M07 CAPSTONE 1 WK

Build, Backtest, Deploy — Capstone Project

Ship a fully audited, walk-forward validated strategy with reproducible research notebook. We co-sign it if it passes.

  • Reproducible research stack
  • Live paper trading deployment
  • Pitch-deck for your own students
[ 02 ] WHAT YOU LEAVE WITH

Tangible artifacts, not vibes.

01

50+ research notebooks

Production-grade Jupyter notebooks covering every module. Reusable, well-commented, MIT-licensed for your own derivative material.

02

3 reference strategies

Mean-reversion, momentum, vol-arbitrage. Full source. Yours to study, modify, and explain to your students — never to redistribute as-is.

03

QUANT/EDGE Coach badge

Pass the capstone, get co-signed. Verifiable credential on our public registry. Your students can confirm you're not a guru.

[ PREREQUISITES ]

What you must know on day 1

  • Python — pandas, numpy, basic OOP
  • Statistics — distributions, hypothesis testing
  • Linear algebra — matrices, eigendecomposition
  • Calculus — derivatives, basic integrals
  • Git, command line, Jupyter
[ FORMAT ]

How the cohort runs

  • 12 weeks live · remote · async-first
  • 1× weekly 90-min research session
  • 1× weekly 60-min office hours
  • Private Discord with both founders
  • 6 seats · application required
[ 03 ] FAQ

Common objections.

Is this for beginners?

No. You should be comfortable with Python and high-school statistics. If "covariance matrix" is unfamiliar, take a primer first — we list ours under recommended prerequisites.

Do I need a finance degree?

No, but you must commit. Self-taught coaches with strong programming skills perform well. Non-technical influencers without a math background generally do not pass the capstone.

How long does the program take?

Twelve weeks live cohort. Modules unlock weekly with one open office-hour per week. The capstone runs for the final fortnight.

Can I resell the material to my students?

You receive a coach-license: full rights to teach the *concepts* and use derived material in your own curriculum. You may not redistribute the original notebooks or strategy code verbatim.

What about certification?

Pass the capstone and your audit + paper-trading record is co-signed by both founders as a verifiable AlphaTrading Coach credential. Your students can verify it on our public registry.

Refund policy?

Full refund within 14 days, no questions. After Module 02 unlocks, no refunds — by then you have the most valuable IP in the program.

[ COHORT 03 — Q3 2026 ]

Apply. Or stay a guru.

04 of 06 seats remaining. Applications reviewed weekly.

Apply Now