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Technical Analysis Course

Goaled: Technical Analysis Course

As a SEBI Registered Investment Advisor from GoalEd Stock Market Courses, I, Yash Setpal, am excited to introduce our engaging course on “Technical Analysis.” This course is specifically designed to equip participants with the knowledge and skills to effectively analyze stock price patterns, trends, and indicators. Through historical price data and chart analysis, you’ll learn to identify potential buying and selling opportunities in the Indian stock market. Let’s dive into the exciting world of technical analysis together!

Goaled - Stock market courses and share market classes in mumbai

Our Introduction to Investing Course is divided between 14 sessions of 2-hours that take place on weekends. We have chosen weekends as this is when most of our students are available. We also offer completely customizable 1-to-1 training sessions, both online and offline.

Course Contents

  1. Introduction to Technical Analysis: We’ll start with an overview of technical analysis and its significance in the stock market. You’ll understand how it complements fundamental analysis and the role it plays in making informed investment decisions.

  2. Basics of Stock Price Patterns: Explore various stock price patterns, including support and resistance levels, trend lines, and chart patterns. Learn how to identify these patterns and understand their implications for future price movements.

  3. Trend Analysis: Discover the power of trends in technical analysis. We’ll delve into different types of trends, such as uptrends, downtrends, and sideways trends. You’ll learn how to spot trend reversals and ride the momentum of a trend.

  4. Moving Averages: Understand the concept of moving averages and their significance in technical analysis. We’ll explore different types of moving averages, such as simple moving averages (SMA) and exponential moving averages (EMA). You’ll learn how to interpret moving average crossovers and use them to identify potential entry and exit points.

  5. Oscillators and Indicators: Dive into popular technical indicators and oscillators, such as Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Stochastic Oscillator. We’ll discuss how these tools can help confirm price trends, identify overbought and oversold conditions, and generate trading signals.

  6. Volume Analysis: Explore the role of volume in technical analysis. Understand how volume can validate price movements and provide insights into market participation. Learn to interpret volume patterns and use them as a tool to confirm trend reversals and breakout opportunities.

  7. Candlestick Analysis: Master the art of candlestick analysis, a powerful technique in technical analysis. Discover various candlestick patterns, including doji, hammer, engulfing, and more. You’ll learn to interpret these patterns to identify potential turning points and trend continuations.

  8. Fibonacci Analysis: Uncover the secrets of Fibonacci analysis and its application in technical analysis. We’ll explore Fibonacci retracements, extensions, and projections. You’ll learn how to use these levels to identify potential support and resistance areas in the market.

  9. Chart Patterns: Delve into common chart patterns, such as head and shoulders, double tops, and triangles. Understand how to identify and interpret these patterns to anticipate price movements and make informed trading decisions.

  10. Trading Strategies: Learn practical trading strategies based on technical analysis. We’ll discuss swing trading, trend following, breakout trading, and more. Understand the risk management principles associated with these strategies.

  11. Risk Management in Technical Analysis: Explore the importance of risk management in technical analysis. Learn how to set stop-loss orders, determine position sizes, and manage risk-reward ratios to protect your capital.

  12. Backtesting and Strategy Development: Discover the process of backtesting trading strategies using historical data. Learn how to evaluate the performance of your strategies and refine them for optimal results.

  13. Trading Psychology: Understand the psychological aspects of trading and how emotions can impact decision-making. Learn techniques to manage emotions, maintain discipline, and cultivate a winning mindset.

  14. Integrating Fundamental Analysis and Technical Analysis: Discover how to combine fundamental analysis with technical analysis to gain a comprehensive view of the market. Learn how to identify high-probability trades by aligning technical signals with fundamental factors.
  1. Real-Time Chart Analysis: Gain hands-on experience by analyzing real-time stock charts. We’ll guide you through the process of applying technical analysis techniques to live market scenarios. You’ll develop the skills to identify potential trading opportunities and make informed decisions in real-time.

  2. Sector Analysis: Understand the importance of sector analysis in technical analysis. Explore how sector performance can influence individual stock prices. Learn to identify strong and weak sectors using technical indicators and select stocks accordingly.

  3. Risk and Reward Ratio Analysis: Dive deeper into risk and reward ratio analysis. Understand how to assess the potential gains and losses of a trade. Learn to calculate risk-reward ratios and use them to evaluate the viability of your trading setups.

  4. Entry and Exit Strategies: Master the art of timing your entries and exits in the market. We’ll discuss different entry and exit strategies based on technical analysis signals. You’ll learn to place effective stop-loss and take-profit orders to maximize profits and minimize losses.

  5. Price and Volume Divergence: Discover the concept of price and volume divergence. Understand how divergences can indicate potential trend reversals or continuation patterns. Learn to identify divergences using oscillators and volume indicators.

  6. Japanese Candlestick Patterns: Expand your knowledge of Japanese candlestick patterns. Dive into advanced patterns like harami, evening star, morning star, and more. Learn to interpret these patterns with accuracy and integrate them into your trading strategies.

  7. Multiple Time Frame Analysis: Explore the power of multiple time frame analysis. Understand how to analyze charts across different time frames to gain a broader perspective of price trends and potential trade setups.

  8. Risk Management Techniques: Further enhance your risk management skills. Explore advanced risk management techniques such as trailing stop-loss orders, position sizing strategies, and managing correlated trades.

  9. Algorithmic Trading and Technical Analysis: Get introduced to the world of algorithmic trading and its relationship with technical analysis. Learn how to develop and implement trading strategies using technical indicators and automated systems.

  10. Market Psychology and Sentiment Analysis: Dive into market psychology and sentiment analysis. Understand how investor sentiment can influence market movements and how to interpret sentiment indicators to gain an edge in your trading decisions.

  11. Pattern Recognition Software and Tools: Discover various pattern recognition software and tools available in the market. Learn how to utilize these tools to scan and identify potential trading opportunities based on specific technical patterns.

  12. Trading with Moving Average Crossovers: Explore different moving average crossover strategies and their applications. Learn to identify bullish and bearish crossovers and use them to generate trading signals.

  13. Options Trading and Technical Analysis: Understand how technical analysis can be applied to options trading. Learn to use technical indicators to identify potential options trading opportunities and enhance your options strategies.

  14. Intraday Trading Strategies: Delve into intraday trading strategies using technical analysis. Explore techniques such as scalping, momentum trading, and range breakouts. Understand how to apply these strategies in volatile market conditions.

  15. Trading Tools and Platforms: Get familiar with popular trading tools and platforms used for technical analysis. Explore charting software, online platforms, and mobile apps that provide advanced technical analysis capabilities.

  16. Case Studies and Practical Examples: Explore real-life case studies and practical examples from the Indian stock market. Analyze historical charts and trades to gain insights into successful technical analysis applications.

  17. Harmonic Pattern Recognition: Learn to identify harmonic patterns such as Gartley, Butterfly, and Bat patterns. Understand how these patterns can indicate potential trend reversals or continuations.

  18. Seasonality Analysis: Explore the concept of seasonality in the stock market. Understand how certain stocks or sectors exhibit recurring patterns and tendencies during specific times of the year.

  19. Intermarket Analysis: Gain insights into intermarket analysis and its impact on stock prices. Learn to analyze relationships between different asset classes, such as stocks, bonds, commodities, and currencies.

  20. Order Flow Analysis: Dive into order flow analysis and understand how it can provide valuable insights into market dynamics. Learn to interpret bid-ask spreads, volume at bid/ask, and order book data to gauge market sentiment.

  21. Elliott Wave Theory: Discover the principles of Elliott Wave Theory and its application in technical analysis. Understand wave structures and how they can help predict future price movements.

  22. Advanced Charting Techniques: Explore advanced charting techniques such as Heikin-Ashi, Renko, and Point & Figure charts. Learn how to incorporate these techniques into your analysis for a different perspective on price action.

  23. Trading with Fibonacci Extensions: Expand your knowledge of Fibonacci tools by exploring Fibonacci extensions. Learn how to identify potential price targets and project future price movements using Fibonacci ratios.

  24. Algorithmic Pattern Recognition: Explore the use of algorithms and machine learning in pattern recognition. Understand how automated systems can scan and identify complex patterns in large datasets.

  25. Market Manipulation Techniques: Understand common market manipulation techniques and how to spot them using technical analysis. Learn to differentiate between genuine price movements and manipulated price action.

  26. Cryptocurrency Technical Analysis: Extend your technical analysis skills to the realm of cryptocurrencies. Discover how technical analysis principles can be applied to analyze and trade digital assets effectively.

  27. Options Greeks and Technical Analysis: Explore the relationship between options Greeks (Delta, Gamma, Theta, Vega) and technical analysis. Learn how to incorporate options-related indicators and strategies into your technical analysis toolkit.

  28. Sector Rotation Analysis: Understand the concept of sector rotation and its implications for investment decisions. Learn how to identify sectors that are in favor or out of favor based on technical analysis signals.

  29. Behavioral Finance and Technical Analysis: Explore the intersection of behavioral finance and technical analysis. Understand how investor psychology and biases influence market trends and price patterns.

  30. Ichimoku Cloud Analysis: Dive into the Japanese technique of Ichimoku Cloud analysis. Learn to interpret the different components of the cloud, such as Tenkan-sen, Kijun-sen, and Senkou Span, to identify potential trend reversals and support/resistance levels.

  31. Market Breadth Indicators: Discover market breadth indicators such as advance-decline line, McClellan Oscillator, and new highs-new lows. Learn how to interpret these indicators to gauge the overall health of the market.

  32. Event-Based Technical Analysis: Learn how to incorporate event-driven analysis into your technical analysis approach. Understand how corporate announcements, economic data releases, and geopolitical events can impact stock prices.

  33. Mean Reversion Strategies: Explore mean reversion trading strategies using technical analysis. Learn to identify overbought and oversold conditions and use mean reversion indicators to capture potential price reversals.

  34. Algorithmic Pattern Recognition: Discover the power of artificial intelligence and machine learning in pattern recognition. Learn how to develop and implement algorithmic trading models that leverage technical analysis patterns.

  35. Cryptocurrency Trading Strategies: Expand your knowledge of technical analysis to the world of cryptocurrencies. Explore different trading strategies and indicators specific to cryptocurrency markets.

  36. Trade Management and Exit Strategies: Master the art of trade management and exit strategies in technical analysis. Learn techniques to trail stops, scale in and out of positions, and manage risk as the trade progresses.

Join our “Technical Analysis” course and embark on an exciting journey to unlock the power of technical analysis in the Indian stock market. Equip yourself with the skills and knowledge to make informed trading decisions and increase your chances of success. Get ready to master the art of analyzing stock price patterns, trends, and indicators with confidence and precision. Enroll now and elevate your trading game!

Technical Analysis

Learn to read the charts

Difficulty: Beginner
Duration : 2 Months
Lesson: 13 - 2-hour sessions
Course Format: Online / Offline
Course Fee: Rs. 10,000/-
Our Other Stock Market Courses
Meet the Instructor
Lalit Setpal


Hey! My name is Lalit Setpal and I am a SEBI (Securities Exchange Board of India) registered investment advisor here to help you meet your financial goals. My SEBI registration number is NISM-201800074073

Get in touch with me to know more about my courses!


Technical analysis is a method of analyzing stock price patterns, trends, and indicators to make trading decisions. It helps traders identify potential buying and selling opportunities based on historical price data. Technical analysis is important because it provides insights into market psychology, helps predict future price movements, and assists in risk management.

No, this course is designed for beginners and does not require any prior knowledge or experience in trading. We will start with the basics and gradually build your understanding of technical analysis concepts and techniques. Whether you are new to trading or have some experience, this course will provide you with valuable insights.

Yes, technical analysis can be applied to various financial markets, including stocks, bonds, commodities, and currencies. The principles and techniques of technical analysis remain consistent across different markets. However, this course primarily focuses on applying technical analysis to the Indian stock market.

Throughout the course, we will use popular charting software and platforms that offer advanced technical analysis capabilities. These may include platforms like TradingView, Amibroker, or MetaTrader. We will also explore various technical indicators and charting tools available within these platforms.

No, technical analysis cannot guarantee profitable trades. It is a tool to assist in decision-making and provide insights into potential price movements. Success in trading relies on a combination of technical analysis, risk management, and a disciplined trading approach. We will focus on teaching you effective strategies and techniques to increase your chances of making informed trading decisions.

Yes, technical analysis can be useful for long-term investors as well. Even though it is often associated with short-term trading, technical analysis can help identify long-term trends and potential entry or exit points for investors. The concepts and techniques covered in this course can be applied to both short-term trading and long-term investing strategies.

Yes, we will touch upon the topic of algorithmic trading and its relationship with technical analysis. While not the primary focus of this course, we will discuss the basics of algorithmic trading and how technical analysis can be incorporated into automated trading systems.

Absolutely! Technical analysis principles can be applied to cryptocurrencies as well. In fact, this course will briefly explore the application of technical analysis to cryptocurrency trading, introducing you to specific indicators and strategies relevant to digital asset markets.

Yes, upon successful completion of the course, you will receive a certificate of achievement. The certificate will validate your participation and demonstrate your understanding of technical analysis concepts and techniques.

The duration of the course will depend on your learning pace and schedule. On average, students complete the course within 4 to 6 weeks. However, you can access the course materials at your convenience and study at your own pace.

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