Courses

About the Courses

Practical Financial-Market Education, From Fundamentals to Advanced Analysis

At ChartWise Academy, our courses are designed to help learners develop a structured understanding of financial markets—from the basic concepts of trading and investing to advanced technical, fundamental, quantitative, and algorithmic approaches.

Our courses are built around one central principle: Learn the market before risking capital in the market.

Financial markets cannot be mastered through shortcuts, isolated indicators, or trading tips. A strong foundation requires knowledge of market structure, analysis, strategy development, risk management, execution, psychology, and continuous evaluation. Our courses therefore focus on understanding the complete decision-making process, not simply identifying buy or sell opportunities.

What Makes Our Courses Different

1. Structured Learning

Financial markets contain thousands of concepts. Learning them randomly can create confusion. Our courses are organized progressively so that learners can move from:

Foundation
Analysis
Strategy
Risk Management
Execution
Testing
Advanced Concepts

This allows learners to build knowledge systematically.

2. Theory + Practical Application

Understanding a concept theoretically is only the beginning. Our courses combine concepts with practical learning through:

  • Market charts
  • Historical examples
  • Worked examples
  • Case studies
  • Strategy frameworks
  • Calculations
  • Trading scenarios
  • Risk-management exercises
  • Backtesting concepts
  • Market-analysis exercises

The objective is to connect theory with practical market interpretation.

3. Multiple Financial Markets

ChartWise Academy provides courses across different areas of the financial markets. Our major course categories include:

  • Intraday Trading
  • Swing Trading
  • Options Trading
  • Investment
  • Commodity Trading
  • Cryptocurrency
  • Forex
  • Technical Analysis
  • Fundamental Analysis
  • Quantitative Trading
  • Algorithmic Trading
  • Risk Management
  • Trading Psychology

Learners can choose an individual specialization or progressively study multiple areas.

Our Core Courses

01 Intraday Trading Course
Key areas
  • Introduction to intraday trading
  • Market structure
  • Trends and consolidations
  • Support and resistance
  • Candlestick analysis
  • Price action
  • Volume
  • VWAP
  • Moving averages
  • Momentum
  • RSI
  • MACD
  • Volatility
  • Breakouts and breakdowns
  • Opening Range Breakout
  • Pullbacks
  • Reversals
  • Range trading
  • Trade setup development
  • Entry and exit planning
  • Stop-loss
  • Position sizing
  • Risk-to-reward
  • Trade management
  • Intraday psychology
  • Trading plans
  • Trading journals
  • Backtesting
  • Performance measurement

ObjectiveTo help learners understand how to build and evaluate an intraday trading process, rather than simply follow trading calls.

02 Swing Trading Course
Key areas
  • Swing-trading fundamentals
  • Market cycles
  • Market structure
  • Trend identification
  • Multi-timeframe analysis
  • Support and resistance
  • Volume analysis
  • Moving averages
  • Momentum
  • Breakouts
  • Breakout and retest
  • Pullback strategies
  • Chart patterns
  • Price action
  • Relative strength
  • Sector analysis
  • Stock selection
  • Entry planning
  • Stop-loss
  • Position sizing
  • Overnight risk
  • Gap risk
  • Trade management
  • Exit strategies
  • Swing-trading psychology
  • Backtesting
  • Performance analysis

ObjectiveTo develop the ability to identify, evaluate, manage, and review swing-trading opportunities systematically.

03 Options Trading Course
Key areas
  • Options fundamentals
  • Calls and puts
  • Option chains
  • Strike prices
  • Expiration
  • Moneyness
  • Premium
  • Intrinsic value
  • Extrinsic value
  • Time value
  • Open interest
  • Volume
  • Implied volatility
  • Option Greeks (Delta, Gamma, Theta, Vega, Rho)
  • Option pricing
  • Payoff diagrams
  • Breakeven analysis
Strategies covered
  • Long call
  • Long put
  • Covered call
  • Protective put
  • Bull call spread
  • Bear put spread
  • Bull put spread
  • Bear call spread
  • Straddle
  • Strangle
  • Iron condor
  • Iron butterfly
  • Calendar spread
  • Diagonal spread
  • Collar
  • Hedging strategies
Also addresses
  • Strategy selection
  • Market view
  • Volatility view
  • Expiry selection
  • Strike selection
  • Risk assessment
  • Adjustments
  • Position management
  • Exit planning

ObjectiveTo help learners understand why an options strategy behaves the way it does and what risks it carries.

04 Investment Course
Key areas
  • Investment fundamentals
  • Financial goals
  • Risk and return
  • Asset classes (Equity, Mutual funds, ETFs, Bonds, Gold, REITs, InvITs)
  • Asset allocation
  • Diversification
  • Portfolio construction
  • Rebalancing
Fundamental analysis
  • Business models
  • Revenue
  • Profitability
  • Balance sheet
  • Cash flow
  • Financial ratios
  • Earnings
  • Management
  • Corporate governance
  • Competitive advantage
  • Industry analysis
  • Economic analysis
Valuation
  • P/E
  • P/B
  • EV/EBITDA
  • Dividend valuation
  • Discounted cash flow
  • Growth assumptions
  • Margin of safety

ObjectiveTo help learners develop a structured investment-research and portfolio-management process.

05 Commodity Trading Course
Topics
  • Commodity-market structure
  • Futures contracts
  • Contract specifications
  • Margin
  • Settlement
  • Commodity options
  • Gold
  • Silver
  • Crude oil
  • Natural gas
  • Copper
  • Base metals
  • Agricultural commodities
  • Supply and demand
  • Inventory
  • Seasonality
  • Futures curves
  • Contango
  • Backwardation
  • Commodity correlations
  • Currency impact
  • Global macroeconomic factors
Trading topics
  • Technical analysis
  • Volume
  • Open interest
  • Breakouts
  • Trends
  • Spread trading
  • Hedging
  • Intraday trading
  • Swing trading
  • Risk management

ObjectiveTo help learners understand how fundamental supply-demand factors and market structure interact with price movements.

06 Cryptocurrency Course
Blockchain foundations
  • Blockchain
  • Bitcoin
  • Ethereum
  • Layer-1 networks
  • Layer-2 networks
  • Proof of Work
  • Proof of Stake
  • Smart contracts
  • DeFi
  • Stablecoins
  • Tokens
Market analysis
  • Market capitalization
  • Fully diluted valuation
  • Token supply
  • Tokenomics
  • Liquidity
  • Order books
  • Market cycles
  • Dominance
  • Sector rotation
  • On-chain analysis
Trading topics
  • Spot trading
  • Futures
  • Perpetual contracts
  • Funding rates
  • Open interest
  • Liquidations
  • Technical analysis
  • Volume
  • Price action
  • Volatility
  • Risk management
Security topics
  • Wallets
  • Private keys
  • Seed phrases
  • Exchange risks
  • Phishing
  • Scams
  • Smart-contract risks

ObjectiveTo help learners understand the technology, market structure, analytical tools, and risks associated with digital assets.

07 Forex Trading Course
Topics
  • Forex fundamentals
  • Currency pairs (Major, Minor, Exotic)
  • Base currency
  • Quote currency
  • Bid and ask
  • Spread
  • Pips
  • Pip value
  • Lot sizes
  • Leverage
  • Margin
  • Swap
  • Trading sessions
Fundamental analysis
  • Interest rates
  • Inflation
  • GDP
  • Employment
  • Central banks
  • Monetary policy
  • Economic indicators
  • Interest-rate differentials
  • Currency valuation
  • Risk sentiment
Technical analysis
  • Market structure
  • Trends
  • Support and resistance
  • Candlesticks
  • Price action
  • Moving averages
  • RSI
  • MACD
  • Bollinger Bands
  • Breakouts
  • Pullbacks
Advanced topics
  • Currency correlations
  • Intermarket analysis
  • Yield curves
  • Volatility
  • Carry
  • Central-bank intervention
  • FX options concepts
  • Quantitative analysis

ObjectiveTo develop a comprehensive understanding of currency-market drivers, analysis, execution, and risk.

08 Technical Analysis Course
Core concepts
  • Dow Theory
  • Market structure
  • Trends
  • Support
  • Resistance
  • Supply and demand
  • Candlestick patterns
  • Chart patterns
  • Price action
  • Volume
  • Volatility
Indicators
  • SMA
  • EMA
  • WMA
  • VWAP
  • RSI
  • MACD
  • Bollinger Bands
  • ATR
  • ADX
  • Stochastic
  • Pivot points
  • Fibonacci tools
Advanced concepts
  • Multi-timeframe analysis
  • Break of structure
  • Change of character
  • Liquidity
  • Market regimes
  • Relative strength
  • Volume analysis
  • Market profile concepts

ObjectiveTo help learners use technical analysis as a structured analytical framework rather than a collection of isolated indicators.

09 Fundamental Analysis Course
Topics
  • Financial statements (Balance sheet, Income statement, Cash-flow statement)
  • Revenue analysis
  • Profitability
  • Margins
  • Debt
  • Cash flows
  • Financial ratios
  • Earnings
  • Management
  • Corporate governance
  • Competitive advantage
  • Industry analysis
  • Economic analysis
Valuation
  • Relative valuation
  • Intrinsic valuation
  • DCF
  • Growth assumptions
  • Cost of capital
  • Terminal value
  • Margin of safety

ObjectiveTo help learners develop an independent company and investment research process.

10 Quantitative Trading Course
Topics
  • Probability
  • Statistics
  • Random variables
  • Distributions
  • Expected value
  • Variance
  • Standard deviation
  • Correlation
  • Regression
  • Hypothesis testing
  • Time-series concepts
Trading-system concepts
  • Signal generation
  • Position sizing
  • Risk models
  • Portfolio construction
  • Factor models
  • Mean reversion
  • Momentum
  • Statistical arbitrage
  • Regime analysis
Performance measurement
  • Win rate
  • Average win
  • Average loss
  • Expectancy
  • Profit factor
  • Maximum drawdown
  • Sharpe ratio
  • Sortino ratio
  • Calmar ratio
  • Risk-adjusted performance

ObjectiveTo teach learners how to move from subjective market observations toward measurable and testable trading hypotheses.

11 Algorithmic Trading Course
Topics
  • Trading-system design
  • Strategy rules
  • Data acquisition
  • Data cleaning
  • Signal generation
  • Entry rules
  • Exit rules
  • Position sizing
  • Risk management
  • Backtesting
  • Walk-forward analysis
  • Optimization
  • Validation
  • Paper trading
  • Automation concepts
  • Monitoring
Important research issues
  • Overfitting
  • Look-ahead bias
  • Survivorship bias
  • Data-snooping bias
  • Transaction costs
  • Slippage
  • Market impact
  • Parameter instability

ObjectiveTo help learners understand how to develop and evaluate systematic trading strategies responsibly.

12 Risk Management Course
Topics
  • Capital preservation
  • Risk per trade
  • Position sizing
  • Stop-loss
  • Risk-to-reward
  • Maximum drawdown
  • Portfolio risk
  • Correlation
  • Leverage
  • Margin
  • Concentration risk
  • Liquidity risk
  • Gap risk
  • Event risk
  • Model risk
  • Operational risk

ObjectiveTo help learners understand that a profitable strategy without appropriate risk management can still result in unacceptable losses.

13 Trading Psychology Course
Topics
  • Fear
  • Greed
  • FOMO
  • Overconfidence
  • Revenge trading
  • Loss aversion
  • Confirmation bias
  • Recency bias
  • Impatience
  • Overtrading
  • Discipline
  • Patience
  • Consistency
  • Journaling
  • Routine development

ObjectiveTo help learners understand the behavioural challenges that can affect trading and investment decisions.

Course Learning Framework

1FoundationUnderstand the market and its terminology.
2Market StructureUnderstand how price, participants, liquidity, volatility, and market conditions interact.
3AnalysisLearn technical, fundamental, quantitative, or other relevant analytical methods.
4StrategyConvert analysis into clearly defined decision rules.
5Risk ManagementDetermine how much can be lost if the analysis is wrong.
6ExecutionLearn how orders, liquidity, costs, and execution affect real-world results.
7TestingEvaluate strategies through historical analysis, simulation, or other appropriate methods.
8MeasurementAssess performance using objective metrics.
9ReviewMaintain a journal and identify strengths, weaknesses, and errors.
10Continuous ImprovementRefine the process based on evidence rather than emotion.

Levels of Learning

1
Foundation

Understand the Market

  • Market terminology
  • Participants
  • Instruments
  • Orders
  • Risk
  • Basic market mechanics
2
Analysis

Learn to Read the Market

  • Technical analysis
  • Fundamental analysis
  • Market structure
  • Price behaviour
  • Volume
  • Volatility
3
Strategy

Build a Decision Framework

  • Setups
  • Entry rules
  • Exit rules
  • Risk-reward
  • Position sizing
  • Trade management
4
Advanced Trading & Investment

Understand Market Complexity

  • Derivatives
  • Options
  • Volatility
  • Market regimes
  • Intermarket relationships
  • Portfolio concepts
5
Quantitative Analysis

Measure the Strategy

  • Probability
  • Statistics
  • Expected value
  • Backtesting
  • Performance metrics
  • Risk-adjusted returns
6
Algorithmic Trading

Systematize the Process

  • Strategy coding
  • Automation
  • Data
  • Backtesting
  • Optimization
  • Validation
  • Execution
7
Advanced Research

Think Like a Market Researcher

  • Statistical modelling
  • Factor research
  • Market microstructure
  • Regime detection
  • Portfolio modelling
  • Advanced risk models
8
Continuous Development

Build a Professional Learning Process

  • Research discipline
  • Trading journals
  • Performance review
  • Strategy evaluation
  • Risk monitoring
  • Continuous learning

Who Are These Courses For

Beginners

For people who want to understand financial markets from the ground up.

Aspiring Traders

For learners interested in intraday, swing, options, commodity, crypto, or forex trading.

Investors

For individuals who want to understand investment research, valuation, asset allocation, and portfolio concepts.

Experienced Traders

For traders looking to improve their analytical framework, risk management, backtesting, or systematic approach.

Quantitative Learners

For learners interested in statistics, quantitative research, algorithmic trading, and systematic strategies.

Students & Professionals

For individuals interested in developing knowledge of financial markets as an academic, professional, or personal learning objective.

What You Will Develop

Our courses are designed to develop capabilities such as:

  • Market understanding
  • Analytical thinking
  • Financial literacy
  • Chart interpretation
  • Fundamental research
  • Strategy development
  • Risk assessment
  • Position sizing
  • Data analysis
  • Backtesting
  • Performance measurement
  • Decision-making
  • Trading discipline

The objective is not merely to memorize indicators or strategies. The objective is to develop the ability to think systematically about financial-market decisions.

Practical Learning Components

Depending on the course, learning may include:

Market Charts

Study historical and illustrative charts to understand market behaviour.

Case Studies

Examine real-world and hypothetical scenarios.

Strategy Examples

Understand how different strategies are constructed and where their risks arise.

Calculations

Work through: Position sizing, Risk-reward, Option payoffs, Greeks, Returns, Drawdowns, Performance metrics.

Backtesting

Learn how historical data can be used to evaluate trading hypotheses and understand the limitations of backtests.

Journaling

Develop a structured process for recording and reviewing decisions.

What Our Courses Do Not Promise

ChartWise Academy does not promise:

  • Guaranteed profits
  • Guaranteed investment returns
  • Guaranteed trading success
  • Risk-free trading
  • 100% accurate strategies
  • Fixed daily income
  • Guaranteed employment
  • Guaranteed financial independence
  • Recovery of trading losses

Financial markets involve uncertainty and risk. The knowledge gained through a course does not guarantee a particular financial result.

Education Before Real-Money Trading

We strongly encourage learners—especially beginners—to understand the relevant financial instrument, risks, costs, regulations, and trading mechanics before committing real capital. Learners may consider using:

  • Historical study
  • Simulated trading
  • Paper trading
  • Backtesting
  • Small-scale practice where appropriate
  • Structured journaling as part of their learning process

However, simulated performance does not guarantee live-market performance.

Course Materials

Depending on the specific course, ChartWise Academy may provide:

  • Video lessons
  • Written lessons
  • Presentations
  • Practical examples
  • Charts
  • Worksheets
  • Exercises
  • Case studies
  • Quizzes
  • Assignments
  • Calculators
  • Templates
  • Trading journals
  • Checklists
  • Strategy frameworks
  • Research frameworks

Course inclusions may vary by program. Please refer to the individual course page for the specific curriculum and features included with each course.

Continuous Learning

Financial markets continuously evolve. New technologies, products, regulations, market structures, analytical techniques, and trading practices emerge over time. ChartWise Academy therefore encourages learners to adopt a continuous-learning mindset. Completing a course is not the end of the learning process. It is the beginning of developing:

Knowledge
Practice
Testing
Measurement
Review
Improvement

Our Educational Philosophy

  • Education FirstUnderstand the market before committing capital.
  • Process Over PredictionBuild a repeatable decision process instead of trying to predict every market movement.
  • Risk Before ReturnUnderstand potential losses before focusing on potential gains.
  • Evidence Over AssumptionsTest ideas wherever practical instead of accepting assumptions blindly.
  • Discipline Over EmotionFollow predefined rules rather than making impulsive decisions.
  • Continuous ImprovementReview decisions and improve the process over time.

Important Financial Education Disclaimer

ChartWise Academy provides educational and informational content relating to financial markets. Our courses are intended to develop knowledge and analytical skills. They do not constitute personalized investment advice, financial planning, portfolio management, research recommendations, or a guarantee of financial performance.

Examples, charts, strategies, historical results, hypothetical trades, backtests, simulations, and educational demonstrations do not guarantee future results. Financial markets involve substantial risk, including the possible loss of capital.

Learners are responsible for their own financial decisions and should independently evaluate the suitability and legality of any financial activity. Where appropriate, learners should seek advice from suitably qualified and appropriately regulated professionals. For India-specific regulatory information, please refer to our India-Specific Regulatory & Legal Disclosure.

Start Your Learning Journey

Whether you are completely new to financial markets or looking to deepen your existing knowledge, ChartWise Academy provides a structured pathway for continuous learning.

  • Start with the fundamentals.
  • Develop your analytical skills.
  • Learn how strategies are constructed.
  • Understand risk.
  • Test your ideas.
  • Measure your results.
  • Improve your process.

Learn the Market. Build the Process. Manage the Risk.

ChartWise Academy — Education First. Process Over Prediction. Risk Management Over Speculation.

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