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Where you are

1

Level 1 — Chart Reader

6 parts · 39 pages · 18 h

Part 1: Market and Technical Analysis FoundationsPart 2: Understanding Market DataPart 4: Reading Price ChartsPart 5: Support, Resistance and Price StructurePart 6: IndicatorsPart 7: Candlesticks and Chart Patterns

0 of 6 parts started

1. Market and Technical Analysis Foundations2. Understanding Market Data4. Reading Price Charts5. Support, Resistance and Price Structure6. Indicators7. Candlesticks and Chart Patterns

2

Level 2 — AmiBroker Analyst

2 parts · 17 pages · 9 h

Part 3: Getting Started with AmiBrokerPart 12: Scanning and Exploration

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3. Getting Started with AmiBroker12. Scanning and Exploration

3

Level 3 — AFL Developer

9 parts · 54 pages · 30 h

Part 8: AFL Programming FundamentalsPart 9: Working with Arrays and Historical BarsPart 10: Building Custom AFL IndicatorsPart 11: Reusable AFL ProgrammingPart 13: Ranking and Relative StrengthPart 14: Multi-Timeframe AFLPart 15: Multi-Symbol AnalysisPart 16: Market BreadthPart 36: Advanced AFL

0 of 9 parts started

8. AFL Programming Fundamentals9. Working with Arrays and Historical Bars10. Building Custom AFL Indicators11. Reusable AFL Programming13. Ranking and Relative Strength14. Multi-Timeframe AFL15. Multi-Symbol Analysis16. Market Breadth36. Advanced AFL

4

Level 4 — Trading System Researcher

9 parts · 50 pages · 28 h

Part 27: From Trading Idea to Trading SystemPart 28: AmiBroker BacktestingPart 29: Understanding Backtest ResultsPart 30: Backtesting MistakesPart 31: OptimizationPart 32: Out-of-Sample and Walk-Forward TestingPart 33: Monte Carlo and RobustnessPart 34: Risk ManagementPart 35: Developing a Complete Trading Research Process

0 of 9 parts started

27. From Trading Idea to Trading System28. AmiBroker Backtesting29. Understanding Backtest Results30. Backtesting Mistakes31. Optimization32. Out-of-Sample and Walk-Forward Testing33. Monte Carlo and Robustness34. Risk Management35. Developing a Complete Trading Research Process

5

Level 5 — Real-Time AmiBroker User

11 parts · 46 pages · 29 h

Part 17: Introduction to Real-Time MarketsPart 18: Real-Time Data ProvidersPart 19: Creating an Intraday AmiBroker DatabasePart 20: Trading Sessions, Exchanges and Time ZonesPart 21: Real-Time ChartsPart 22: Real-Time Quotes and Time & SalesPart 23: Real-Time AFLPart 24: Real-Time ScanningPart 25: AFL AlertsPart 26: Bar Replay and Simulated PracticePart Capstone: Capstone: Build Your Own AmiBroker Trading Research Workstation

0 of 11 parts started

17. Introduction to Real-Time Markets18. Real-Time Data Providers19. Creating an Intraday AmiBroker Database20. Trading Sessions, Exchanges and Time Zones21. Real-Time Charts22. Real-Time Quotes and Time & Sales23. Real-Time AFL24. Real-Time Scanning25. AFL Alerts26. Bar Replay and Simulated PracticeCapstone: Build Your Own AmiBroker Trading Research Workstation

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Part 1Market and Technical Analysis Foundations

0 / 6 lessons in this part completed

• ○What Financial Markets Are
• ○Participants, Brokers and Orders
• ○Bid, Ask, Spread and Liquidity
• ○Price Formation, Volatility and Time
• ○Technical, Fundamental and Systematic Analysis
• ○Probability, Not Prediction

Part 2Understanding Market Data

0 / 6 lessons in this part completed

• ○OHLCV and What a Bar Hides
• ○Timeframes, Ticks and How Bars Are Built
• ○Splits, Dividends and Adjusted Data
• ○Data Defects in Practice
• ○Survivorship, Delistings and Index Membership
• ○Lab: Prove That Bad Data Breaks Analysis

Part 3Getting Started with AmiBroker

0 / 8 lessons in this part completed

• ○Installing AmiBroker: Versions and Editions
• ○Lab: Install AmiBroker and Verify Your Setup
• ○The AmiBroker Interface and Its Vocabulary
• ○Databases and the Base Time Interval
• ○Importing and Updating Market Data
• ○Symbols, Watchlists and Categories
• ○Navigating and Scaling Charts
• ○Lab: Build Your First AmiBroker Workspace

Part 4Reading Price Charts

0 / 5 lessons in this part completed

• ○Chart Types and What Each One Shows
• ○Linear versus Logarithmic Scaling
• ○Swings, Highs and Lows
• ○Market Structure: Trends, Ranges and Transitions
• ○Lab: Structured Chart Interpretation

Part 5Support, Resistance and Price Structure

0 / 6 lessons in this part completed

• ○Support and Resistance as Zones
• ○Trendlines and Channels
• ○Breakouts, Failed Breakouts and Role Reversal
• ○Consolidation and Volatility Contraction
• ○Lab: Map the Structure of a Real Chart
• ○Reality Check: Do Support Levels Actually Hold?

Part 6Indicators

0 / 11 lessons in this part completed

• ○What an Indicator Actually Is
• ○Moving Averages: SMA and EMA
• ○Moving Average Slope and Crossovers
• ○ADX and Directional Movement
• ○MACD
• ○RSI and Rate of Change
• ○The Stochastic Oscillator
• ○Volatility: True Range, ATR and Bollinger Bands
• ○Volume and Volume-Based Indicators
• ○Lab: Indicator Behaviour Workbench
• ○Reality Check: Does RSI Above 70 Mean Sell?

Part 7Candlesticks and Chart Patterns

0 / 5 lessons in this part completed

• ○Candlestick Anatomy and Single-Bar Patterns
• ○Multi-Bar Candlestick Patterns
• ○Classic Chart Patterns
• ○Context, Evidence and Base Rates
• ○Reality Check: Can We Test Whether a Pattern Predicted Anything?

Part 8AFL Programming Fundamentals

0 / 9 lessons in this part completed

• ○What AFL Is and Where It Runs
• ○Your First Formula
• ○Syntax Basics: Statements, Comments and Names
• ○Variables, Numbers and Expressions
• ○The Array Model: The Most Important Lesson in This Course
• ○Boolean Arrays: Close > MA(Close, 50)
• ○Logic, Conditionals and IIf()
• ○Null Values, Nz() and Warm-Up Periods
• ○Errors, Debugging and Sanity Checks

Part 9Working with Arrays and Historical Bars

0 / 7 lessons in this part completed

• ○Referencing Past Bars with Ref()
• ○Running Extremes: HHV, LLV and Friends
• ○Counting and Accumulating: BarsSince, Cum, Sum
• ○ValueWhen(): Carrying a Value Forward
• ○State versus Event: The Distinction That Breaks Formulas
• ○Cleaning Signals: ExRem, ExRemSpan and Flip
• ○Challenge: State or Event?

Part 10Building Custom AFL Indicators

0 / 8 lessons in this part completed

• ○Plotting with Plot(): Styles, Colours and Panes
• ○Chart Titles and Dynamic Text
• ○PlotShapes() and Visual Signals
• ○Parameters: Param, ParamToggle, ParamList and ParamColor
• ○Project: Configurable Moving-Average Indicator
• ○Project: Trend Regime Indicator
• ○Project: ATR Volatility Indicator
• ○Project: Multi-Indicator Analysis Panel

Part 11Reusable AFL Programming

0 / 5 lessons in this part completed

• ○User-Defined Functions and Procedures
• ○Variable Scope: local, global and the Traps
• ○Include Files and Building a Library
• ○Defensive AFL: Guarding Against Bad Input and Bad Data
• ○Project: Your Personal AFL Utility Library

Part 12Scanning and Exploration

0 / 9 lessons in this part completed

• ○The Analysis Window and Its Four Modes
• ○Lab: Your First Scan
• ○Exploration: Filter, AddColumn and AddTextColumn
• ○Conditional Formatting, Sorting and Ranking Columns
• ○Building Screening Filters That Mean Something
• ○Project: Build a Daily Stock Screener
• ○Challenge: The Scan That Returns Nothing
• ○Exporting Results and Building a Daily Workflow
• ○Reality Check: Do High-Volume Breakouts Lead Anywhere?

Part 13Ranking and Relative Strength

0 / 5 lessons in this part completed

• ○Relative Strength: What It Does and Does Not Mean
• ○Ranking versus Filtering
• ○Static Variables for Cross-Sectional Work
• ○StaticVarGenerateRanks() and Top-N Selection
• ○Project: Market Relative Strength Ranking Tool

Part 14Multi-Timeframe AFL

0 / 5 lessons in this part completed

• ○Why Traders Use Multiple Timeframes
• ○TimeFrameSet() and TimeFrameRestore()
• ○Expansion Modes and the Look-Ahead Trap
• ○Project: Multi-Timeframe Trend Indicator
• ○Project: Multi-Timeframe Scanner

Part 15Multi-Symbol Analysis

0 / 5 lessons in this part completed

• ○Foreign(), SetForeign() and RestorePriceArrays()
• ○Benchmarks and Relative Performance
• ○Sectors and Intermarket Analysis
• ○Data Alignment Pitfalls Across Symbols
• ○Project: Relative Strength Comparison Tool

Part 16Market Breadth

0 / 4 lessons in this part completed

• ○Breadth Concepts: Participation and Its Measures
• ○Building Composites with AddToComposite()
• ○Breadth Divergence and Market Regime
• ○Project: Market Breadth Dashboard

Part 17Introduction to Real-Time Markets

0 / 4 lessons in this part completed

• ○The Real-Time Architecture, End to End
• ○Delayed, Real-Time and Historical Data
• ○Edition Requirements and the Three Access Levels
• ○Plugins and the Database Relationship

Part 18Real-Time Data Providers

0 / 5 lessons in this part completed

• ○Choosing a Data Source: A Decision Framework
• ○Appendix: Interactive Brokers
• ○Appendix: IQFeed
• ○Appendix: eSignal and Other Supported Feeds
• ○Free and End-of-Day Sources with AmiQuote

Part 19Creating an Intraday AmiBroker Database

0 / 5 lessons in this part completed

• ○The Base Interval Decision
• ○Intraday Database Settings in Detail
• ○Backfill and Database Maintenance
• ○Challenge: The History That Is Not All There
• ○Lab: Build an Intraday Market Database

Part 20Trading Sessions, Exchanges and Time Zones

0 / 4 lessons in this part completed

• ○Exchange Time versus Your Clock
• ○Sessions: Regular Hours, Pre-Market and After-Hours
• ○Daylight Saving and Alignment Failures
• ○Challenge: The Opening Range That Moved

Part 21Real-Time Charts

0 / 4 lessons in this part completed

• ○Intraday Chart Intervals and What They Cost
• ○Feed Updating versus Chart Refresh
• ○Lab: Build a Real-Time Trading Layout
• ○Challenge: The Chart That Stopped Updating

Part 22Real-Time Quotes and Time & Sales

0 / 2 lessons in this part completed

• ○Quote Fields and the Real-Time Quote Window
• ○Time & Sales: What It Does and Does Not Tell You

Part 23Real-Time AFL

0 / 4 lessons in this part completed

• ○GetRTData() and the Live Quote Fields
• ○Knowing Where You Are: Status() and Execution Context
• ○RequestTimedRefresh() and Real-Time Performance
• ○Project: Real-Time Quote Dashboard

Part 24Real-Time Scanning

0 / 3 lessons in this part completed

• ○Repeat Scanning: Mechanics and Costs
• ○Defining Intraday Setup Conditions
• ○Project: Intraday Breakout Scanner

Part 25AFL Alerts

0 / 3 lessons in this part completed

• ○Alert Mechanisms and AlertIf()
• ○Duplicate Alerts and How to Stop Them
• ○Project: Real-Time Breakout Alert

Part 26Bar Replay and Simulated Practice

0 / 3 lessons in this part completed

• ○Bar Replay: Mechanics and Honest Limits
• ○Replay Exercise: Reading a Session Live
• ○Replay Exercise: Intraday Setups and Alerts

Part 27From Trading Idea to Trading System

0 / 5 lessons in this part completed

• ○From Observation to Hypothesis
• ○From Hypothesis to Rules
• ○From Rules to AFL
• ○Execution Assumptions You Must State
• ○Project: Your First Complete Trading System

Part 28AmiBroker Backtesting

0 / 8 lessons in this part completed

• ○Backtester Basics: Signals and Trade Prices
• ○Position Sizing with SetPositionSize()
• ○Costs: Commissions, Slippage and the Spread
• ○Stops with ApplyStop()
• ○Portfolio Backtesting: Many Symbols, One Account
• ○Single-Symbol Thinking versus Portfolio Reality
• ○Project: A Realistic Portfolio Backtest
• ○Reality Check: Is the Golden Cross Worth Anything?

Part 29Understanding Backtest Results

0 / 6 lessons in this part completed

• ○Reading the Backtest Report
• ○Return Metrics: Net Profit, CAR, RAR and Exposure
• ○Risk Metrics: Drawdown and Its Relatives
• ○Trade Statistics: Wins, Losses, Payoff and Expectancy
• ○Why Win Rate Alone Tells You Almost Nothing
• ○Equity Curve Analysis

Part 30Backtesting Mistakes

0 / 8 lessons in this part completed

• ○Look-Ahead Bias
• ○Survivorship and Selection Bias
• ○Data Snooping, Curve Fitting and Overfitting
• ○Unrealistic Fills, Costs and Liquidity
• ○Position Sizing and Portfolio Errors
• ○Insufficient Evidence and Regime Dependence
• ○Challenge: 180% a Year with a 3% Drawdown
• ○Challenge Collection: Six Broken Backtests

Part 31Optimization

0 / 5 lessons in this part completed

• ○What Optimize() Actually Does
• ○Reading Parameter Surfaces
• ○Best Value versus Robust Region
• ○Optimization Targets and Search Engines
• ○Lab: Optimise Without Fooling Yourself

Part 32Out-of-Sample and Walk-Forward Testing

0 / 5 lessons in this part completed

• ○In-Sample and Out-of-Sample
• ○Walk-Forward Methodology
• ○The AmiBroker Walk-Forward Workflow
• ○Interpreting Out-of-Sample Degradation
• ○Lab: Run a Walk-Forward Analysis

Part 33Monte Carlo and Robustness

0 / 4 lessons in this part completed

• ○What Monte Carlo Can and Cannot Tell You
• ○The AmiBroker Monte Carlo Workflow
• ○Sequence Risk and Risk of Ruin
• ○The Limits of Simulation

Part 34Risk Management

0 / 5 lessons in this part completed

• ○Risk Per Trade and Stop Distance
• ○Volatility-Based Position Sizing
• ○Portfolio Exposure, Concentration and Correlation
• ○Drawdown and Risk of Ruin in Practice
• ○Lab: Same Strategy, Three Position-Sizing Models

Part 35Developing a Complete Trading Research Process

0 / 4 lessons in this part completed

• ○The Research Lifecycle End to End
• ○Defining Your Universe and Market Regime
• ○From Candidate to Decision
• ○Journalling and Separating Two Kinds of Performance

Part 36Advanced AFL

0 / 6 lessons in this part completed

• ○Dynamic Variables: VarSet, VarGet and Friends
• ○Static Variables in Depth
• ○Matrices and Advanced Data Handling
• ○Performance: QuickAFL, Multi-Threading and Cost
• ○Advanced Debugging and Tracing
• ○Introduction to the Custom Backtester Interface

CapstoneCapstone: Build Your Own AmiBroker Trading Research Workstation

0 / 9 lessons in this part completed

• ○Capstone Overview and Requirements
• ○Component 1: Market Dashboard
• ○Component 2: Stock Exploration
• ○Component 3: Scanner
• ○Component 4: Multi-Timeframe Chart
• ○Component 5: Real-Time or Replay Workspace
• ○Component 6: The Trading Strategy
• ○Components 7 and 8: Backtest and Robustness Evaluation
• ○Component 9: The Research Report