6.1

📚 Giriş

Başlangıç için 5 temel kavram, grafiklerin neden piyasaların dili olduğu ve teknik analizin tarihi

1. 🎯 İlk 6 ay için 5 temel kavram

🎯 Orientation for beginners: This chapter contains 30+ candlestick patterns, chart patterns and indicators. That is overwhelming — and unnecessary. For the first 6 months you need exactly these 5 concepts:
  1. Recognising trends — Series of higher highs AND higher lows = uptrend. Reversed (lower lows, lower highs) = downtrend. No rule → no direction.
  2. Support and Resistance — Price levels where the price has reversed multiple times. The more often tested, the stronger. A break = a real signal.
  3. Volume — A breakout on high volume is more significant than one on low volume. Volume is the confirmation that every technical analysis needs.
  4. One moving average (SMA 200) — Above SMA 200 = bullish, below SMA 200 = bearish. Sufficient as a first filter. Not 3 different lines on top of each other.
  5. One single candlestick pattern: Engulfing — Bullish Engulfing after a downtrend = possible reversal. Bearish Engulfing after an uptrend = possible reversal. You don't need more than this at the beginning.

The other sections of this chapter go deeper, are useful — but only relevant from month 7+. If you read them now, you will get confused. Skip them for now.

📝 Parallel to reading charts: Start a trading journal now. The Mindset chapter, Module 3 shows you the format. Without a journal, you learn nothing traceable while reading charts.

2. Grafikler neden piyasaların dilidir

A chart is not a work of art. It is also not a crystal ball. A chart is the only honest summary of what millions of people simultaneously think about a price — represented as a curve over time.

Technical analysis is the attempt to read from this curve what might happen next. Critics call it reading tea leaves. Defenders point to people who have earned billions with this language — not once, but over decades, repeatably.

Three stories about what technical analysis can achieve when mastered systematically:

The man who wanted to bet that traders can be grown

The most famous experiment in the history of systematic trading.

In 1983, Richard Dennis and his partner William Eckhardt were sitting in a restaurant in Chicago arguing. Dennis — a legend of grain futures who had turned $400 in borrowed money into around $200 million — claimed: "Trading can be taught. Whoever has the rules has the edge." Eckhardt disagreed: "It is innate. You need an instinct."

Dennis wanted to prove it. He placed an ad in the Wall Street Journal: seeking trainees with no trading experience. Over 1,000 applicants responded. Dennis chose 23. Among them: an actor, a toy designer, a logistics manager, a security guard, a chess master. He named them after the turtles on a farm in Singapore that he had once visited: the Turtles.

Dennis taught them a strictly mechanical system over two weeks. The foundation was Donchian Channels — simple chart lines marking the highest and lowest high of the last 20 and 55 days. The rule was brutally simple: if the price breaks above the 20-day high → buy. If it breaks below the 10-day low → sell. Position size scaled by volatility. No opinions. No news. No forecasts. Only the chart.

Then Dennis gave each Turtle an account with $1 million. And let them go.

In the following four years, the Turtles collectively made over $175 million profit. The best achieved annual returns of over 100 percent. The chess master later managed a billion-dollar fund. The actor traded billions. Dennis had won the bet.

The lessonTechnical analysis works not through brilliant foresight, but through mechanical discipline. Trend-following systems with clear entry and exit rules beat intuition — because the rules kick in exactly when your head is failing you. The best strategy is the one you still follow after three losses.

The man who broke the Bank of England

A single chart. A single thesis. A trillion-dollar loss for the British state.

In 1992, the British pound was pegged to the German mark within the European Monetary System. The Bank of England had committed to keeping the pound above a minimum rate — at whatever cost. George Soros and his chief strategist Stanley Druckenmiller saw something different in the chart: a price creeping ever closer to its floor. A price that the British government could only defend through ever higher interest rates. Interest rates that were strangling their own economy.

Druckenmiller's analysis was classic technical analysis paired with macroeconomics: "The support will break. It's only a question of when." Soros listened. Then he said the sentence that later became legend: "If you are so convinced — why are you holding back? Go for the jugular."

Quantum Fund built up a short position on the pound that ultimately had a notional value of around $10 billion — with leverage. On 15 September 1992, the German Bundesbank raised interest rates — and the British pound began to scratch at support. The Bank of England threw $27 billion in reserves into the market to hold the rate. Soros kept buying pounds, ever cheaper.

On 16 September — "Black Wednesday" — the Bank of England capitulated. It withdrew from the currency system. The pound collapsed. Soros's fund had earned over $1 billion in a single day. The newspapers gave him the title that would forever cling to him: "The Man Who Broke the Bank of England."

The lessonA chart tells you not only what is happening — it tells you who the defenders are and where their limit lies. Support and resistance are not arbitrary lines. They mark places where real actors risk real money. Whoever can read these places sees the fracture point before it breaks.

The mathematician who wanted to crack the market

How an ex-codebreaker built the most successful hedge fund in history — and nobody knows the code.

Jim Simons was not a trader. He was a mathematician, winner of the Veblen Prize, developer of Chern-Simons theory, former cryptographer for the National Security Agency. In 1978 he founded Renaissance Technologies — but not to hire analysts who read balance sheets. He hired mathematicians, physicists, signal theorists and cryptographers. People who had never listened to an earnings call.

Simons's thesis was simple: the market is not a completely random system. It contains patterns — tiny, brief anomalies that a human eye would never see. But a computer evaluating every tick of every stock since 1959 might. The question was simply: are there statistically robust patterns that repeat?

For years they tried. They rejected hundreds of hypotheses. They found a pattern in the distribution of trading times that nobody could explain — but it worked. They found a relationship between oil prices and pork belly futures that had no fundamental logic — but it worked. They found thousands of such mini-edges. Each one so small that it would not have made any human rich. Together — at hundreds of thousands of trades per year — they produced the Medallion Fund.

From 1988 to 2018 Medallion earned an average of 66 percent per year before fees. Even in 2008, during the financial crisis, it made 80 percent. In 2020, during Covid, 76 percent. Warren Buffett in his best decades was at 20 percent. Medallion is now closed to external investors — Simons and his employees have accumulated a fortune of around $100 billion.

Nobody outside the fund knows what the signals are. Former employees sign lifetime non-disclosure agreements. The only thing publicly known: Renaissance trades almost exclusively from charts. Fundamental data plays almost no role.

The lessonEven if individual chart patterns look statistically weak — the combination of many small edges with strict rule discipline produces long-term returns that are not achievable by any other approach. Technical analysis is more than "I believe it will go up". Properly applied, it is applied statistics with hard mathematics behind it.

Candlestick formations, trendlines, indicators — what follows on the next pages is the vocabulary that all these stories share. The difference lies only in how disciplined you speak the language.

3. Teknik analizin tarihi

Technical analysis feels modern — Bollinger Bands, RSI, Fibonacci on colourful displays. In reality the discipline is almost three centuries old. It was not invented by Wall Street quants, but by a rice trader in 18th-century Japan. And it has taken its current form through half a dozen people you should know in order to understand what you are actually looking at.

1
🌾 1730 — Honma Munehisa invents the candles
Location: Dōjima Rice Exchange, Osaka — the world's first organised futures market.
Munehisa, son of a merchant family, took over the family business as a young man in Sakata and later moved to Osaka. He recognised that rice prices did not fluctuate randomly — they followed patterns of fear and greed. He drew daily price movements as small bodies with shadows on paper: the first candlestick charts.
His "Sakata Rules" (Three Soldiers, Three Crows, Three Gaps etc.) became the standard of the Japanese rice trade. Munehisa is said to have made over 100 consecutive winning trades in his lifetime. He is still regarded in Japan as the "God of Markets".
Legacy: All modern candlestick formations (Hammer, Doji, Engulfing, Morning/Evening Star) trace back to his Sakata Rules.
2
📰 1884 — Charles Dow establishes Dow Theory
Location: New York — Dow co-founded the Wall Street Journal with Edward Jones in 1882.
Dow was a financial journalist, not a mathematician. He observed that stock prices follow trends: primary major movements over months/years, secondary corrections, small daily fluctuations. From this observation emerged the Dow Jones Industrial Average in 1896 — the oldest still-active stock index in the world.
His principles — "the market discounts everything", "trends exist on three time levels", "volume confirms trends" — remain the foundation of every trend analysis to this day.
Legacy: Trendlines, Dow Theory, index concepts — all modern trend-following thinking traces back to him.
3
〰️ 1934 — Ralph Nelson Elliott discovers the waves
Location: Los Angeles — Elliott was bedridden following a tropical illness.
Elliott, a 63-year-old accountant in forced retirement, analysed 75 years of stock market data on paper. His insight: markets move in fractal patterns of five impulse waves and three corrective waves — recurring on every time level. He called it Elliott Wave Theory.
Elliott died in 1948 almost forgotten. Robert Prechter revitalised the theory in the 1970s; his book Elliott Wave Principle (1978) made the waves popular worldwide.
Legacy: Fibonacci retracements, impulse/corrective waves, fractal market structure — Elliott followers are found in every modern trading firm.
DEEP DIVE · DEDICATED CHAPTERElliott Wave Trading — complete chapterTheory, pattern catalogue, 5 concrete trade setups, risk discipline
4
📕 1948 — Edwards & Magee write the textbook
Work: Technical Analysis of Stock Trends — still in its 11th edition today.
Robert Edwards and John Magee systematised for the first time what chartists had been drawing for 100 years: Head-and-Shoulders, Double Tops, Triangles, Flags, Wedges. They gave each pattern a name, a statistical evaluation and clear entry/exit rules.
The book was so influential that John Magee allegedly read his newspapers two weeks late — so that the news would not emotionally influence his chart reading.
Legacy: Virtually every classic chart pattern shown today originates from this book.
5
💻 1978 — Welles Wilder and the era of indicators
Work: New Concepts in Technical Trading Systems.
As computers became cheap enough, traders could calculate formulas in real time. Welles Wilder — engineer, later real estate developer, then full-time trader — published a book in 1978 that introduced five of today's most famous indicators in one go: RSI, ATR, ADX, Parabolic SAR and the Directional Movement Index.
In parallel, John Bollinger developed his Bollinger Bands (1983), and Gerald Appel the MACD (1979). Chart software like MetaStock (1985) and later TradeStation (1991) made these tools accessible to everyone.
Legacy: Almost every indicator you click on a chart today originates from this brief, insanely productive period between 1977 and 1985.
6
🤖 1990s–today — Quants, machine learning and the hybrid era
Status: Today over 80% of daily US equity volume is algorithmic.
Jim Simons (Renaissance, from 1988), David Shaw (D.E. Shaw, 1988) and Cliff Asness (AQR, 1998) transformed technical analysis from an art into a statistical science. They test hypotheses across millions of data points, discard 99% and trade the remaining 1% with machines.
Retail traders today have access to tools that were still state secrets in 1990: TradingView, Python libraries like pandas-ta, machine learning, cloud backtesting. The separation between "classical" technical analysis and "quantitative" analysis is blurring.
Legacy: Today's technical analysis is a hybrid discipline — visual patterns from the 18th century, mathematical indicators from the 20th century, statistical validation from the 21st century.

💡 The candles you see on your chart today were invented almost exactly 300 years ago by a Japanese man who traded rice. The tools are old. The discipline to use them correctly is the real challenge.