Fundamental Principles of Technical Analysis

1. Overview

The fundamental principles of technical analysis form the bedrock of all chart analysis and trading strategies. This chapter explores three core principles—the Market Efficiency Principle, the Trend Following Principle, and the Chart Pattern Repetition Principle—covering both the philosophical foundations and practical applications of technical analysis.

Technical analysis traces its origins to the late 19th century, when Charles Dow introduced what became known as Dow Theory. Dow argued that price movements exhibit identifiable patterns and trends. Since then, technical analysis has expanded to virtually every financial market—stocks, futures, forex, and cryptocurrencies. These three principles are not mere abstractions; they are systematized observations of phenomena that recur repeatedly in real markets, serving as the fundamental prerequisites for all technical indicators and pattern analysis.

Key Takeaway: Technical analysis focuses on "What" is happening in the market, not "Why" it is happening. Concentrating on objective data—price and volume—is the essence of technical analysis.

2. Core Rules and Principles

2.1 Market Efficiency Principle

Core Premise: "Market Action Discounts Everything"

This principle is the most fundamental assumption and starting point of technical analysis. Price is the end product of supply and demand, and it is assumed that all factors—economic, social, political, psychological, and even natural disasters—are already reflected in the current price.

• Comprehensive Information Reflection: Fundamentals (corporate earnings, project value), macroeconomic factors (interest rates, regulations), and market psychology (fear, greed) are all embedded in the current price
• Analytical Focus: There is always a reason behind an uptrend or downtrend, but the technical analyst focuses on the price movement itself rather than the underlying cause
• Distinction from Fundamental Analysis: While fundamental analysis asks, "What is the fair price?", technical analysis asks, "Where is the market heading?"

Practical Application Rules

1. Observe Price Reaction After News Events: If the price drops despite bullish news, the market has already priced in the positive catalyst or is reflecting a larger bearish factor. This is the classic principle of "Buy the rumor, sell the news"
2. Analyze Price Movements Alongside Volume: Checking whether volume accompanies a price move helps you assess the reliability of that movement
3. Focus on the Movement Itself, Not the Root Cause: Pay attention to "How much and how did it move?" rather than "Why did it move?"

Cryptocurrency Market Considerations: The crypto market operates 24/7/365 and exhibits greater information asymmetry and looser regulation than traditional financial markets. When applying the premise that "everything is discounted," pay particular attention to sharp price swings and manipulative activity such as pump-and-dump schemes.

2.2 Trend Following Principle

Core Concept: "Prices Move in Trends"

The trend is the single most important concept in technical analysis—an absolute foundational element. Once established, a trend tends to persist until an external shock or a clear reversal signal appears. This behavior is often compared to inertia in physics. Trend following strategies involve buying after confirming an uptrend and selling after confirming a downtrend.

Three Trend Directions

Trend Type	Definition	Characteristics	Basic Strategy
Uptrend	A sequence of progressively higher highs and higher lows	Higher Highs (HH) and Higher Lows (HL)	Buy on pullbacks
Downtrend	A sequence of progressively lower highs and lower lows	Lower Highs (LH) and Lower Lows (LL)	Sell (short) on rallies
Sideways / Range	Supply and demand are in equilibrium; price moves horizontally	Price oscillates within a defined range	Buy at range support, sell at range resistance, or enter on breakout

Temporal Classification of Trends

Dow Theory classifies trends into three categories based on timeframe:

• Primary Trend: Lasts months to years; the most significant trend and the dominant market direction
• Secondary (Intermediate) Trend: Lasts weeks to months; represents corrections or rallies within the primary trend
• Minor Trend: Lasts days to weeks; short-term fluctuations within the intermediate trend

In trading, identify the trend that aligns with your trading style (scalping, day trading, swing trading, position trading), but always prioritize trading in the direction of the higher-timeframe trend. This single practice is the key to improving your win rate.

Trading Approach

• Not "buy low, sell high" but "buy higher, sell even higher": The essence of trend following is not trying to catch the bottom. Once an uptrend is confirmed, enter the position even if the current price appears elevated
• If the market dips in the short term but the long-term trend remains bullish, treat the pullback as a buying opportunity
• Trend following strategies become more effective when combined with momentum-based indicators such as moving averages, MACD, and ADX

2.3 Chart Pattern Repetition Principle

Core Premise: "History Repeats Itself"

In every investment market—stocks, bonds, cryptocurrencies—price movements are recorded on charts. A chart is simply a two-dimensional representation with time on the X-axis and price on the Y-axis, yet the price movements it captures are ultimately the product of collective psychology among market participants (retail traders, institutions, banks, whales, etc.).

Human psychology—fear, greed, hope, despair—remains fundamentally unchanged regardless of the era. The greed and fear investors felt during the 2017 Bitcoin bubble were essentially identical to the emotions experienced during the 1637 Tulip Mania or the 2000 Dot-com Bubble. Because these psychological patterns repeat, similar chart patterns emerge over and over again.

Limitations and Possibilities of Pattern Analysis

• It is impossible to predict the future with 100% accuracy using historical market data
• However, a probabilistic approach that recognizes certain patterns are likely to repeat is entirely valid
• By analyzing price movements that accompanied past events, you can build response strategies for similar situations in the future

Classification of Key Recurring Patterns

Category	Representative Patterns	Significance
Reversal Patterns	Head and Shoulders, Double Top/Bottom, Rounding	Signal the end of an existing trend and the start of a new one
Continuation Patterns	Triangles, Flags, Wedges	Indicate a temporary pause before the existing trend resumes
Candlestick Patterns	Doji, Hammer, Engulfing	Reflect short-term shifts in sentiment and potential turning points

3. Chart Verification Methods

3.1 Verifying the Market Efficiency Principle

1. News Event Analysis: Examine price reactions on the chart before and after significant news or events. If the price has already moved before the announcement, the market has priced in the information ahead of time
2. Volume Confirmation: Verify whether volume accompanies the price movement. Price changes without volume support carry low reliability
3. Multi-Timeframe Analysis: Check whether consistent information is reflected across multiple timeframes—1-hour, 4-hour, daily, and weekly charts

3.2 Verifying the Trend Following Principle

1. Drawing Trendlines: For an uptrend, connect two or more swing lows; for a downtrend, connect two or more swing highs to draw the trendline
2. Swing High and Swing Low Analysis:
   • Uptrend: Confirm that highs and lows are progressively rising (HH, HL)
   • Downtrend: Confirm that highs and lows are progressively falling (LH, LL)
3. Trendline Validity Check: A trendline that has been touched three or more times gains significantly higher reliability. The more touches a trendline has, the more powerful the resulting move tends to be when it finally breaks
4. Moving Average Confirmation: As a supplementary tool for trend identification, check the direction and alignment of the 20-day, 50-day, and 200-day moving averages (bullish alignment vs. bearish alignment)

3.3 Verifying the Pattern Repetition Principle

1. Compare with Historical Patterns: Analyze the outcomes of past patterns similar to the one currently forming. Look for comparable patterns not only in the same asset but also across different assets
2. Confirm Pattern Completion: Wait for the pattern to fully form before acting on the signal. Never jump in prematurely based on an incomplete pattern
3. Volume Confirmation: Check whether volume increases meaningfully at the pattern completion point, especially at the breakout moment
4. Cross-Timeframe Validation: Verify whether the same or a consistent pattern appears across multiple timeframes. Patterns confirmed on higher timeframes carry greater reliability

4. Common Mistakes and Cautions

4.1 Cautions Regarding Core Principles

1. Do Not Blindly Trust Charts: Chart analysis is never 100% accurate. Blind faith is strictly prohibited. Technical analysis is a probability game—even with a 70% win rate, you must prepare for the remaining 30%
2. Exploit Market Inefficiencies as Opportunities: Do not assume perfect efficiency. Instead, look for opportunities in market overreactions and underreactions
3. Charts Are for Response, Not Prediction: Since the future cannot be predicted with certainty, focus on scenario-based response strategies: "If this happens, I will do that"

4.2 Pitfalls of Trend Analysis

1. Leading signals of a trend reversal increase probability but do not guarantee it—actual reversal depends on supply and demand dynamics
2. No one can predict the exact price
3. Do Not Mistake Short-Term Corrections for Trend Reversals: A temporary decline within an uptrend may be a healthy correction. Always verify whether the structure of higher highs and higher lows has actually broken down
4. Do Not Jump to Conclusions from a Single Trendline Break: Temporary breaks (false breakouts/whipsaws) are frequent. Wait for the candle to close beyond the trendline, or confirm with volume and follow-through candles before making a decision

4.3 Errors in Pattern Analysis

1. Premature Entry on Incomplete Patterns: Entering a trade because an incomplete formation "looks like" a pattern is the most common mistake. A pattern is only a pattern once it is complete
2. Seeing Shape but Ignoring Context: Patterns are not defined by candlestick shapes alone—what matters most is the context in which the pattern appears (trend direction, chart location, volume profile)
3. Lack of Defined Entry Criteria: Trading without precise entry rules—"somewhere around here"—makes risk management impossible. For every pattern, define clear entry points, stop-loss levels, and profit targets in advance
4. Confirmation Bias: Be wary of the tendency to see only the patterns you want to see. When you want to go long, bullish patterns become conspicuous while bearish signals get ignored

5. Practical Application Tips

5.1 Trading Mindset and Core Principles

Before applying technical analysis in live trading, always keep these 10 core investment principles in mind:

#	Principle
1	Markets are not perfectly efficient — opportunities arise from inefficiencies
2	Historical patterns on charts tend to repeat
3	Support and resistance levels, trusted by many, continue to function
4	Prices move in trends, and trends tend to persist
5	Understanding charts allows you to identify trend reversals
6	Overbought/oversold conditions, overshoot, and corrections are natural phenomena that can be identified through charts
7	Knowing volume clusters (supply/demand zones) helps you infer resistance on the way up and support on the way down
8	The accumulation and distribution phases of large players (smart money) can be inferred through chart analysis
9	Charts are for response, not prediction
10	No one can predict the exact price — leading reversal signals only increase probability; actual reversal depends on supply and demand

5.2 Practical Trading Strategies

The following is a basic framework for applying technical analysis principles to live trading.

Core Trading Scenarios

1. Buy After Support Confirmation: Buy only after confirming that price has held at a support level. Reliability increases when reversal candles (hammer, strong bullish candle, etc.) and rising volume appear near the support zone
2. Buy on Breakout Retest: After price breaks above a resistance level, wait for the former resistance to be retested as new support and confirmed. This is the most stable entry method
3. Response to Failed Breakout: If a resistance breakout fails, wait for price to pull back to a support level and confirm it holds before entering. If the anticipated support level also breaks, cut the loss immediately

Aggressive Trading Strategies

• Entering in anticipation of a breakout before it occurs can maximize returns
• However, always set a stop-loss in case the breakout fails
• Aggressive strategies are recommended only after sufficient trading experience has been accumulated

Pre-Entry Checklist

• Have you confirmed the trend direction on the higher timeframe?
• Do you have at least two overlapping entry reasons? (e.g., trend + support/resistance, pattern + volume)
• Have you predefined your stop-loss and target prices?
• Is your risk-to-reward ratio at least 1:2?
• Is your position size appropriate relative to your total capital? (Generally, risk no more than 1–2% of total capital per trade)

5.3 How to Study Chart Analysis

There are two primary approaches to improving your chart analysis skills:

1. Build Expertise Through Hands-On Analysis: Study historical and live charts firsthand—draw trendlines, support, and resistance levels, and observe where the market encounters resistance and where it finds support. This takes time but builds the most solid foundation
2. Learn from Others First: Study real-world analyses from experienced traders, then apply the concepts with small positions in live markets to internalize the knowledge

Efficient Learning Tips

• Study chart theory by grasping only the core concepts at a high level. Getting bogged down in theory dulls your practical instincts
• Practice marking trends, support/resistance levels, and patterns directly on historical Bitcoin charts to train your eyes and hands
• Watch chart analysis content on YouTube, blogs, and similar platforms while simultaneously applying the concepts to live charts
• Keep a trading journal. Record your entry rationale, outcomes, and lessons learned. This prevents you from repeating the same mistakes
• Conduct backtesting (testing strategies on historical charts) to verify whether your strategy is statistically valid

5.4 Comprehensive Approach

1. Multi-Timeframe Analysis: Identify the big picture (trend direction) on higher timeframes, then find precise entry timing on lower timeframes. For example, confirm an uptrend on the daily chart, then look for pullback entry opportunities on the 4-hour or 1-hour chart
2. Volume Confirmation: Incorporate volume into every analysis. Volume is the "fuel" behind price movement—breakouts or trends that lack volume support are unreliable
3. Risk Management First: Set stop-loss levels in advance and adhere to them rigorously. No matter how brilliant your analysis, a single large loss can devastate your account without proper risk management
4. Combining with Indicators: Building on these core principles, supplement your analysis with indicators such as RSI (overbought/oversold), MACD (trend momentum), and Bollinger Bands (volatility) to increase analytical reliability. However, using too many indicators causes conflicting signals and clouds judgment—limit yourself to 2–3 indicators
5. Continuous Learning: Markets are constantly evolving. Ongoing study of new patterns, market structures, and changes in participant behavior is essential