This principle suggests that all available information, including news, earnings reports, and other data, is already reflected in the price of a security.
According to this assumption, prices tend to move in observable trends, either upward, downward, or sideways.
This assumption is based on the idea that human behavior is consistent over time. As a result, historical price patterns tend to repeat, making it possible to predict future movements based on the past.
Chapter 2: Ichimoku Clouds
Origins of Ichimoku Clouds
Early Development
Components of the Ichimoku System
History and Evolution
Modern Usage
Chapter 3: Fundamental Concepts of Ichimoku Clouds
Components of the Ichimoku Cloud System
The Tenkan-sen is calculated by averaging the highest high and the lowest low over the past nine periods. It indicates short-term price momentum.
The Kijun-sen is calculated by averaging the highest high and the lowest low over the past 26 periods. It serves as an indicator of medium-term momentum and potential support/resistance levels.
This line is calculated by averaging the Tenkan-sen and Kijun-sen, plotted 26 periods ahead. It forms one boundary of the Kumo.
Calculated by averaging the highest high and lowest low over the past 52 periods and plotted 26 periods ahead, it forms the other boundary of the Kumo.
This is the current closing price plotted 26 periods back. It helps confirm trends when compared to past prices.
The area between Senkou Span A and B, representing support and resistance levels. The Kumo's thickness indicates market volatility.
Comprehensive Analysis of Ichimoku Clouds
Chapter 4: Setting Up Ichimoku Clouds
Chart Setup and Timeframe Selection Setting up Ichimoku Clouds involves selecting appropriate chart timeframes based on trading style (e.g., daily charts for long-term analysis, hourly charts for short-term trading) and ensuring all Ichimoku components are correctly plotted.
Chapter 5: Recap of the Ichimoku Clouds Principles
A concise review of the key principles and components of the Ichimoku system, emphasizing their interrelated functions and collective utility in market analysis.
Chapter 6: Combining Ichimoku with Other Indicators
Suggested Indicators to Combine with Ichimoku Clouds
Relative Strength Index (RSI): RSI helps confirm trend strength and identify overbought/oversold conditions.
Moving Average Convergence Divergence (MACD): MACD is used to confirm trend direction.
Stochastic Momentum Index (SMI): SMI refines momentum indicators to spot entry and exit points.
Bollinger Bands: Bollinger Bands help identify breakout points and gauge volatility.
Chapter 7: Advanced Strategies with Ichimoku Clouds
Multiple Timeframe Analysis
Trend Following Strategies
Reversal Strategies
Chapter 8: Common Mistakes and How to Avoid Them
Chapter 9: Practical Tips for TradersChapter 10: Conclusion
Key Points Summarized: Summarizes the importance of mastering Ichimoku Clouds for effective market analysis and the benefits of a comprehensive trading plan and risk management.