CMT Level III study plan
CMT Level III · Give each week a clear focus.
8 weeks · About 7 hours per week
Technical Analysis of Financial Markets
Map the Domain 1 syllabus into a one-page outline covering trend, chart patterns, indicators, intermarket analysis, and behavioral finance, and mark every subtopic you cannot yet explain aloud
Explain, in writing, the construction and interpretation of at least eight widely used indicators (moving averages, MACD, RSI, stochastics, Bollinger Bands, ATR, OBV, ADX) including the signals each produces and its known failure modes
Practice identifying classic chart formations (head and shoulders, double top/bottom, triangles, flags, gaps) on ten anonymized price series you sketch yourself, and record the confirmation rule and measured-move logic for each
Define the difference between leading, coincident, and lagging indicators and classify every indicator in your outline accordingly
Your checkpoint
A one-page Domain 1 concept map plus a written indicator reference sheet of at least eight indicators, each with formula logic, signal, and failure mode.
Technical Analysis of Financial Markets
Apply Dow Theory and Elliott wave counting rules to at least three self-constructed price series, stating where each interpretation becomes ambiguous
Analyze volume behavior alongside price by writing a paragraph on volume confirmation or divergence for ten separate chart scenarios
Explain relative strength, sector rotation, and intermarket relationships (bonds, commodities, currencies) and describe what each implies for equity exposure
Summarize the core findings of behavioral finance relevant to technicians, covering anchoring, disposition effect, herding, and confirmation bias, with one market example each
Your checkpoint
A 600-word analytical write-up interpreting three self-drawn price series using trend, pattern, volume, and intermarket evidence.
Technical Analysis of Financial Markets
Construct a complete trading plan for a hypothetical instrument that specifies entry trigger, stop placement, position sizing rule, and exit criteria, all derived from technical evidence
Evaluate the strengths and limitations of technical analysis as a discipline, including data-snooping risk, survivorship bias in backtests, and the efficient market critique
Distinguish between discretionary and systematic technical approaches and state the governance controls each requires
Draft a set of criteria for judging whether a technical signal is robust rather than curve-fitted
Your checkpoint
A one-page trading plan with explicit entry, stop, sizing, and exit rules, plus a short critique section listing three ways the plan could be overfit.
Technical Analysis of Financial Markets & Investment Risk in Portfolio Management Settings
Complete a timed, closed-book self-test of at least 40 mixed questions spanning all Domain 1 subtopics and score it against your own answer key
Identify the three weakest Domain 1 subtopics from that test and rewrite the underlying concepts in your own words without consulting notes
Define the core vocabulary of Domain 2 (volatility, drawdown, beta, correlation, Value at Risk, tracking error, risk budgeting) and write one precise sentence for each
Explain how technical signals can inform risk decisions such as position sizing and stop discipline
Your checkpoint
A scored 40-question Domain 1 self-test with a written remediation log naming the three weakest subtopics and the corrected reasoning for each.
Investment Risk in Portfolio Management Settings
Compare the main risk measures (standard deviation, beta, downside deviation, maximum drawdown, VaR, CVaR) and state the assumptions and blind spots of each
Explain how correlation and volatility clustering affect portfolio risk, and describe why diversification can fail in stressed markets
Compute position size from a defined risk budget and a stop distance for at least five worked numerical examples
Describe how stop-loss rules, trailing stops, and time stops change the distribution of portfolio returns
Your checkpoint
A worked problem set of five position-sizing calculations with the risk budget, stop distance, and resulting size shown for each, plus a one-paragraph note on the return-distribution effects of stopping out.
Investment Risk in Portfolio Management Settings
Explain how technical analysis integrates into a portfolio risk framework, covering trend filters for exposure, volatility targeting, and drawdown-based de-risking
Distinguish market risk, liquidity risk, model risk, and behavioral risk in a portfolio context, and give a control for each
Interpret a risk budget by allocating a fixed total risk across three hypothetical strategies and justifying the weights
Critique the use of technical indicators as risk signals, naming at least three ways they can mislead
Your checkpoint
A one-page risk framework memo allocating a stated risk budget across three strategies and naming the control that addresses each identified risk type.
Technical Analysis of Financial Markets & Investment Risk in Portfolio Management Settings
Complete a timed, closed-book mock of at least 60 questions split evenly across both domains and score it under exam-like time pressure
Re-derive from memory the formulas and rules you missed on the mock, then check them against your notes and correct the errors
Practice constructed-response answers by writing three short essays that each combine a technical read with a risk-management recommendation
Review every item in your remediation log and mark each concept as mastered, shaky, or unresolved
Your checkpoint
A scored 60-question mock with an updated remediation log and three written constructed-response answers of roughly 200 words each.
Technical Analysis of Financial Markets & Investment Risk in Portfolio Management Settings
Consolidate both domains into a single two-page summary sheet organized by concept rather than by chapter order
Rehearse the weakest remaining subtopics until you can explain each aloud in under two minutes without notes
Complete a final timed mock of at least 50 questions and review every incorrect answer to root cause, not just to the right choice
Plan exam-day logistics, including time allocation per question type and a strategy for constructed-response questions
Your checkpoint
A two-page consolidated summary sheet plus a final mock score with a root-cause review table for every missed question.
Milestones
Week 2: You can interpret an unfamiliar price chart aloud, naming trend, pattern, volume evidence, and a risk point, in under five minutes.
Week 4: Domain 1 self-test score is at least 70 percent, and every missed question has a written corrected explanation.
Week 6: You can compute a position size from a stated risk budget and stop distance without reference material, and explain why diversification can fail in stress.
Week 8: Final mock score is at least 75 percent overall with no single domain below 65 percent, and the remediation log shows no unresolved concepts.