Professional Trading Systems Masterclass: Price Action, Backtesting & Automated Execution

Guided lessons · Trading education

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Professional Trading Systems Masterclass: Price Action, Backtesting & Automated Execution

Trading Professional

Design complete price-action trading systems, test them without hindsight bias, manage real execution costs, and deploy with professional risk and automation safeguards.

COURSE PRICE 1,100.00 CBY Online learning

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Structured lessons with text, audio and video where available

Course exams and completion certificates where configured

Enrollment access is granted only after the required verification

EXPLORE THE COURSE

Course overview.

Professional Trading Systems Masterclass: Price Action, Backtesting & Automated ExecutionPremium text-based masterclass | Advanced / Professional | 26 lessons | 50-question examBuild a documented, testable trading approach—from selecting instruments and defining market structure to designing three complete execution models, evaluating realistic fills, validating historical performance, and deploying a controlled alert/automation workflow. Instead of promising profitable signals, this course teaches an evidence-driven process a serious trader can audit and improve.What you'll learnTranslate trading hypotheses into precise context, entry, stop, sizing, exit, and exclusion rules.Model spreads, commissions, slippage, liquidity, and market-specific contract conventions.Build multi-timeframe structure and volatility filters using only information available at decision time.Design and compare trend pullback, breakout/retest, and range rejection trading models.Interpret liquidity events, FVGs, order blocks, volume, delta, and CVD without overclaiming what charts prove.Construct transparent readiness scores and hard risk vetoes, using Chainbey AI analytics as decision support.Calculate cost-aware position size, expectancy, R-multiples, and portfolio heat.Avoid look-ahead bias, optimistic fills, cherry-picked symbols, and overfitting.Run chronological validation, walk-forward testing, and operationally realistic paper-trading checks.Design safe automation with state reconciliation, idempotent orders, data-quality controls, and kill switches.Produce a complete professional trading dossier as a guided capstone.Who should enrollIntermediate or advanced traders who already understand candlesticks, common order types, stops, and basic market structure. Suitable for systematic discretionary traders, backtest researchers, and developers exploring trading automation. Examples use simplified linear contracts and are not specific venue instructions.Course structure & certificate26 detailed text-based lessons with practical examples and exercises; 50 multiple-choice questions with answer explanations. Complete the required lessons and score at least 80% (40/50) in the final examination to meet the course's academic requirement for a certificate, subject to the Learning Portal's configured issuance rules.Educational risk disclosureThis paid course provides trading education only, not personalized financial advice. No system, signal, backtest, or AI output can guarantee a profit. Leveraged trading can incur rapid losses, including losses beyond a planned stop because of gaps, slippage, liquidation, or system failures. Results and assumptions must be validated independently on the market, contract, and account being used.

STEP BY STEP

Course curriculum.

26 learning steps

Step 1 · From Trading Ideas to a Testable Professional System TEXT · Preview available

FREE LESSON PREVIEWStep 1 of 26

From Trading Ideas to a Testable Professional System

Learning objectives

Distinguish a repeatable trading system from a market opinion, and define what your system must specify before money is put at risk.

1. What makes a system complete?

A complete strategy answers six questions: where can a setup occur, what triggers an entry, when is it invalid, how much can be lost, how will the position exit, and when is trading prohibited? “Buy when the chart looks bullish” answers none of these precisely enough to test.

A useful professional system has four connected layers:

Context: instrument, session, volatility, dominant structure, and relevant levels.
Setup: specific, observable conditions such as a retest after displacement.
Execution: entry order, invalidation, stop, target, fees, and permitted risk.
Review: trade logs, performance statistics, and a predefined adjustment schedule.

A profitable-looking backtest can still be a weak system if its rules were chosen after seeing the outcomes. Professionalism is not trading frequently; it is making consistent decisions under uncertainty.

2. Convert vague ideas into measurable statements

Vague: “Trade powerful breakouts.” Testable: “On the 15-minute chart, identify a completed close above the previous 20 bars' highest high, require the 1-hour trend filter to be bullish, and enter only on a qualifying retest within three bars.” The definition is imperfect, but a second analyst could reproduce it.

3. The system-design document

Record: market and contract type, eligible trading hours, entry and exit definitions, maximum spread, risk per trade, daily loss threshold, data source, and sample testing period. Keep a version number so historical results remain attributable to the exact rules evaluated.

Worked example

Two traders see a BTC breakout. Trader A buys immediately because candles are green. Trader B follows a documented trigger, confirms transaction costs are within the limit, uses a structure-based invalidation, and sizes the trade to a fixed account-risk budget. Either trade can lose, but only Trader B's process can be consistently assessed.

Practice task

Write a one-page strategy charter with all six decision questions answered in measurable language. Mark anything that still depends on “feeling” as unresolved.

Key takeaway

A trading system is a documented decision process, not a promise of profitable trades.

Step 2 · Understand Instruments, Contract Specifications & Hidden Costs TEXT · Enrollment required

Step 3 · Build a Market Universe and Session Selection Policy TEXT · Enrollment required

Step 4 · Market Structure as a Repeatable Data Model TEXT · Enrollment required

Step 5 · Multi-Timeframe Confluence Without Look-Ahead TEXT · Enrollment required

Step 6 · Volatility Regimes, ATR and Dynamic Filters TEXT · Enrollment required

Step 7 · System A: Pullback Continuation in an Established Trend TEXT · Enrollment required

Step 8 · System B: Breakout and Retest with False-Break Filters TEXT · Enrollment required

Step 9 · System C: Range Rejection and Failed Auction TEXT · Enrollment required

Step 10 · Liquidity Events, Sweeps and Quality of Evidence TEXT · Enrollment required

Step 11 · Order Blocks, Fair Value Gaps and Location Scoring TEXT · Enrollment required

Step 12 · Volume, Delta, CVD and Data-Source Limitations TEXT · Enrollment required

Step 13 · Build a Quality Score Without Double-Counting Signals TEXT · Enrollment required

Step 14 · Entry Orders, Limit Fills, Stops and Real Execution TEXT · Enrollment required

Step 15 · Stops, Structural Invalidation and Slippage Budgets TEXT · Enrollment required

Step 16 · Profit Targets, Scaling Out and Expectancy TEXT · Enrollment required

Step 17 · Position Sizing, Leverage and Portfolio Heat TEXT · Enrollment required

Step 18 · Use Chainbey AI Tables as Decision Support TEXT · Enrollment required

Step 19 · Design Safe Automation and Alert Workflows TEXT · Enrollment required

Step 20 · Clean Historical Data and Avoid Backtest Leakage TEXT · Enrollment required

Step 21 · Backtesting Protocol: Replay the Real Decision Sequence TEXT · Enrollment required

Step 22 · Walk-Forward Testing, Overfitting and Robustness Checks TEXT · Enrollment required

Step 23 · Performance Metrics That Survive Scrutiny TEXT · Enrollment required

Step 24 · Forward Testing and Controlled Deployment TEXT · Enrollment required

Step 25 · Journal Design, Error Taxonomy and Continuous Improvement TEXT · Enrollment required

Step 26 · Professional Operating Plan and Capstone Certification Project TEXT · Enrollment required

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