Quick check 1 of 2 · Level II
Level II · Free preview
The orientation and Module 1 are free. Enroll to unlock the full level.
Enrollment opens the remaining 12 modules with their full sections, charts and coding exercises, the 40-question practice assessment, 50 interview drills, the mathematics, statistics and Python electives, and the official examination. One-time payment, no subscription.
Modules included with enrollment
- Research Design, Benchmarks & Backtesting · 5 sections
- Financial Data Quality & Point-in-Time Integrity · 5 sections
- Look-Ahead Bias, Leakage & Survivorship Bias · 5 sections
- In-Sample, Out-of-Sample & Walk-Forward Evaluation · 5 sections
- Evaluating Predictive Signals and Forecasts · 5 sections
- Multiple Testing, Data Mining & False Discoveries · 5 sections
- Financial Time Series & Market Regimes · 5 sections
- Transaction Costs, Turnover & Strategy Economics · 5 sections
- Robustness, Sensitivity & Stress Testing · 5 sections
- Return, Risk & Factor Models · 5 sections
- Deep Learning for Financial Time Series · 5 sections
- Portfolio Integration & Professional Research Review · 5 sections
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Level II · Start here · free orientation
Start Here: From Reading Evidence to Validating Research
Level I taught you to read quantitative evidence. Level II teaches you to judge a strategy’s research the way a professional reviewer does: is it credible, robust and economically meaningful? This short module explains what changes at this level, why most attractive backtests fail, and how the thirteen modules fit together. It is free and not examined.
What you will be able to do
- Explain what Level II adds to the Level I toolkit.
- Describe why most attractive backtests do not survive review.
- Follow the order of the Level II modules and the reason for it.
- Use AI tools in validation work without multiplying false discoveries.
Section 1 of 2 · Read, explore, check
What changes in Level II
In Level I the main question was whether a single number or claim deserved belief. In Level II the object of study is a whole research process: an idea, the data behind it, the backtest that tests it, the costs of trading it and the portfolio it would join. Each step offers a place for error, and errors compound. A small timing mistake in the data can create an impressive backtest; a cost left out can turn a loss into a profit; testing fifty variants and reporting one can make noise look like skill.
This is why experienced reviewers start from scepticism. Most backtests that look attractive are not wrong because their authors are careless. They are wrong because the historical record is short, markets change, data arrive later than their timestamps suggest, and every free choice in a test is another chance to fit noise. Level II gives you a systematic way to find these problems before capital depends on them, and to recognise the rarer results that survive.
The work at this level mirrors a real research review. You will read proposals, check data integrity, look for look-ahead and survivorship bias, separate development data from evaluation data, judge forecasts, count how many things were tried, account for costs and turnover, stress-test assumptions, estimate exposures and risk with standard models, and finally decide whether a strategy deserves capital, more research, or rejection.
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Keep this in mind: Level II moves from judging a single claim to reviewing a whole research process, where small errors compound into impressive but false results.
Make the idea stick
Two quick checks before you move on.
Choose an answer to see feedback and the reasoning immediately. Getting one wrong is a chance to inspect the distinction, not a reason to stop.
Quick check 2 of 2 · Level II