Technical analysis — an introduction for beginners
Marek opened the GBP/USD chart on the evening of 12 March 2024 and the picture was clear: price had touched the 1.2870 resistance for the third time that quarter, and each time it had pulled back by more than a hundred pips. The fourth attempt coincided with a US inflation print in line with consensus, so with no fundamental reaction the rate stalled near resistance. Marek opened a short position twenty pips below the level — sixty hours later the trade hit a hundred-pip target. That was not fortune-telling. That was technical analysis. In this article we explain what it is, which assumptions have underpinned it for more than a hundred years, and which four tools are worth knowing first.
What technical analysis really is
Technical analysis is the study of price and volume moves on a chart with one purpose: to assess the probability that at a given place the rate will change direction or continue. It does not ask about company balance sheets, central-bank decisions, or geopolitics — by the discipline's first assumption, all that information is already in the current quote. A technical analyst looks at how the market is reacting, not why.
The first systematic attempts at studying price behaviour appeared in seventeenth-century Japan — Munehisa Homma, a rice merchant from Sakata, devised candlestick charting there in the 1750s. Modern technical analysis, however, took shape in the United States. Charles Dow, co-founder of the Wall Street Journal, in a series of editorials between 1900 and 1902 articulated a set of observations on stock-price behaviour. After his death those observations were assembled by William Hamilton and Robert Rhea into a coherent discipline now known as Dow theory.
On the FX market — where, according to the September 2025 Bank for International Settlements Triennial Survey, daily turnover stands at 7.5 trillion dollars — the discipline works particularly well, because deep liquidity means technical levels are watched simultaneously by thousands of participants. They become self-fulfilling prophecies. If everyone sees resistance at 1.0850 on EUR/USD and places a sell order there, the level really starts to behave like resistance.
The three Dow theory assumptions — the foundation
Every modern technical-analysis textbook, from Murphy's classic to newer works, begins with these three assumptions. Without them the rest of the discipline has no anchor.
First: price discounts everything. Every piece of information that can affect the quote — from a quarterly earnings report to an interest-rate decision — flows into the current price the moment it is published. To a technical analyst this means poring over a company's balance sheet is unnecessary, because the market has already interpreted the data. A controversial assumption that implies market efficiency — in practice an approximation: it works well on the most liquid FX pairs (EUR/USD, USD/JPY) and less well on exotics.
Second: markets move in trends of three orders. The primary trend stretches from a year to several years and sets the long-term path of the rate. The secondary trend is a correction within the primary — from a few weeks to a few months. The minor trend is the daily or weekly oscillation. All three operate simultaneously. A position trader watches mainly the first, a swing trader the second, a day trader the third. A trend remains valid until an unambiguous reversal signal arrives. Choosing the right timeframe is critical — a dedicated explanation is in the article on what M1, H1 and D1 timeframes mean and which one to pick.
Third: history tends to repeat itself. Not because the market has memory of previous cycles — the reason is the invariance of participant psychology. Fear, greed, the expectation that what has happened will continue, reluctance to crystallise a loss — these emotions look the same in a trader of 2026 as in a rice merchant of 1750. That is why the same candlestick patterns and the same level configurations keep reappearing on charts.
Four tools that still work after a hundred years
From the vast library of techniques, knowing four is enough for solid foundations. Each has been verified repeatedly in academic studies and in institutional practice.
Trend lines are straight lines drawn on the chart, joining at least three local lows in an uptrend or three local highs in a downtrend. A touch from the correct side is a signal of continuation; a break from the wrong side — the first sign of a possible reversal. On EUR/USD daily, a well-drawn trend line typically holds three to seven touches before being broken.
Support and resistance levels are horizontal zones at which price has historically paused before continuing or reversing. Support sits below the current price, resistance above. After support is broken, it often switches role and becomes resistance — a mechanism called polarity. For EUR/USD in 2026, the levels watched by most participants are the round numbers (1.0800, 1.0900, 1.1000) and the historical highs and lows of the last twelve months. To spot whether the market is forming higher highs and higher lows, see how to read market structure.
Japanese candlesticks are a price-recording format introduced to Western literature by Steve Nison in his 1991 book. Each candle shows four values: open, close, high, and low. The body and the wicks tell who won the period — buyers or sellers. Patterns such as the hammer, the shooting star, engulfing, or doji are turning points in market psychology and often precede a change of direction by a few candles.
Moving averages are a smoothing of price that helps visually separate trend from noise. The most common are the simple SMA and the exponential EMA, in periods of 20, 50, and 200. The 200-period average on the daily timeframe indicates the long-term trend direction. Price above the average means a rising tendency, below — a falling one. Crossings of two averages (for example 50 and 200, known as the golden cross and the death cross) are classic signals of a trend-regime change.
"Price is the only truth on the market. Everything else is opinion. Technical analysis is the craft of reading that truth — regardless of what the headline says." — John J. Murphy, Technical Analysis of the Financial Markets, New York Institute of Finance, 1999, chapter 1.
When technical analysis fails
A common beginner's mistake is to treat technical analysis as a universal tool. Four scenarios in which its effectiveness clearly drops are worth knowing before opening the first position.
In each of these situations the best answer is no action. Staying out of the market is a decision just as valuable as opening a position — often more valuable, because it protects capital against random situations. Marek from our opening was losing money a year earlier for exactly this reason: he was entering CPI releases with technical setups, and the rate jumped over his stop loss before the spread returned to normal.
A second practical point: technical analysis should not be applied in isolation from market conditions. Checking the characteristics of the pair before entering is standard procedure — a wide spread on an exotic eats most of the profit that a technical signal promises. Likewise, knowing the pip value at your standard position size is necessary to convert the signal's risk into a concrete amount in the account currency.
What this means for a beginner trader
Technical analysis does not replace fundamental analysis or risk management — it complements them. A trader who knows the three Dow assumptions, can draw a trend line on three touches, distinguishes a bullish from a bearish candle, and knows where the EMA 50 sits on a favourite pair, already has more than most beginners. The rest — RSI, MACD, Fibonacci, Elliott — is added gradually.
The most common misunderstanding is treating indicators as automated signal generators. RSI below 30 does not mean "buy", and above 70 does not mean "sell" — they are fragments of a picture that the trader must interpret in the context of the trend, supports and resistances, and the current macro calendar. An indicator without context is noise, not a signal.
A concise reference on chart construction and the connection between technical setups and broader market conditions is available in the Technical Analysis section on ForexMechanics, with deeper coverage of trend mechanics in the trend glossary entry.
What to do tomorrow
- Open the EUR/USD daily chart and find the current trend. Go to TradingView or MetaTrader, set the timeframe to D1, and look at the last six months. Based on the sequence of highs and lows, decide whether the market is in an uptrend (higher highs and higher lows), a downtrend, or a consolidation. Write the answer in your journal — this is your first technical decision, independent of any indicator.
- Mark the three most important support and resistance levels. On the same daily chart, draw horizontal lines at places where price has paused two or more times before continuing. Focus on the last twelve months and on round numbers (1.0800, 1.0900, 1.1000). Three levels above the current price, three below — the skeleton of your analysis for the coming weeks.
- Add the EMA 50 and the EMA 200 as the only indicators on the chart. Turn off every other indicator the platform suggests at first open. Watch where price sits relative to both averages. Above both = long-term uptrend. Below both = downtrend. Between = a zone of uncertainty in which trend-following signals perform worst. A simple diagnosis you can run in thirty seconds.
- Compute the daily range measured by ATR-14 for your main pair. ATR (Average True Range) is an indicator available on every platform. It shows the average volatility of the last fourteen days. For EUR/USD it is typically 60–80 pips. If the current ATR is below 40, the market is in a tight range and technical signals deliver poor results. Above 100, volatility is elevated and the risk of slippage rises.
- Start a journal with three technical columns. Open a Google Sheets spreadsheet and add the columns "D1 trend direction", "nearest resistance above price", and "nearest support below price". After twenty days of such notes, you will see how your ability to read market context evolves. Without this practice, every position is a reaction to the last candle rather than a conclusion from observation.
Sources & bibliography
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New York Institute of Finance John J. Murphy — Technical Analysis of the Financial Markets (1999) · Rozdziały 1–4: filozofia analizy technicznej, podstawy teorii Dowa, mechanika linii trendu i poziomów wsparcia/oporu. Standardowy podręcznik dla certyfikatu CMT. www.penguinrandomhouse.com ↗
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New York Institute of Finance Steve Nison — Japanese Candlestick Charting Techniques, 2nd edition (2001) · Rozdziały o anatomii świecy japońskiej, formacjach jednoświecowych (doji, młot, spadająca gwiazda) oraz formacjach dwu- i trójświecowych (engulfing, harami, morning/evening star). www.penguinrandomhouse.com ↗
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AMACOM Robert D. Edwards, John Magee, W. H. C. Bassetti — Technical Analysis of Stock Trends, 9th edition (2007) · Klasyczny podręcznik analizy formacji wykresów; rozdziały o liniach trendu, kanałach i odwracaniu trendu — podstawa metodologii edwards-magee używanej od lat 40. XX wieku. www.routledge.com ↗
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Journal of Economic Surveys Cheol-Ho Park, Scott H. Irwin — What Do We Know About the Profitability of Technical Analysis? (2007) · Meta-analiza 95 nowoczesnych badań akademickich nad skutecznością analizy technicznej w okresie 1988–2004; 56 prac potwierdza zysk z reguł technicznych na rynku FX, 20 nie potwierdza, 19 wyniki mieszane. onlinelibrary.wiley.com ↗
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Bank for International Settlements Triennial Central Bank Survey of Foreign Exchange Markets — September 2025 · Tabela 4: udział par walutowych według wolumenu — fundament założenia o płynności wymaganej do skuteczności analizy technicznej. www.bis.org ↗
Frequently asked
Does technical analysis actually work, or is it tea-leaf reading?
It works in a narrow sense: it lets you identify points at which a price move has a statistically higher probability of reversal or continuation. The 2007 meta-analysis by Park and Irwin covering 95 academic papers from 1988 to 2004 showed that on the FX market roughly 60 percent of studies confirmed profit from technical rules after transaction costs — a sizeable share, but far from "it always works". The key is awareness of limits. Technical analysis will not tell you where EUR/USD goes in a month — it will only tell you that at 1.0850 sellers have statistically lost their nerve more often than at 1.0840 or 1.0860. A trader who treats it as a probabilistic tool, not an oracle, gets a real working instrument. A trader looking for certainty will get another reason for disappointment.
What are the three Dow theory assumptions on which technical analysis rests?
Charles Dow in a series of Wall Street Journal articles between 1900 and 1902 stated three assumptions that remain the foundation of the discipline today. First: price discounts everything — company balance sheets, central-bank decisions, geopolitics, participant expectations — all flow into the current quote, so deeper fundamentals only add information already priced in. Second: markets move in trends of three orders — primary (a year to several years), secondary (weeks to months), and minor (days to weeks); a trend stays in place until an unambiguous reversal signal arrives. Third: history tends to repeat itself, because participant psychology — greed, fear, FOMO — has not changed in generations, so the same patterns recur today as they did a century ago.
Which tools should a beginner start with — RSI, MACD, moving averages?
Contrary to broker-platform promises, a beginner does not need ten indicators on the chart. Four things suffice, in this order. First: clean price on Japanese candlesticks — the up or down structure itself, the sequence of higher highs or lower lows. Second: support and resistance levels — drawn on the daily timeframe and carried down to lower timeframes. Third: one moving average, typically the 50- or 200-EMA, as a visual cue for the long-term trend direction. Fourth: contextual awareness — whether the market is trending or ranging, because that decides which tool makes sense. Oscillators such as RSI or MACD are worth adding only after six to twelve months of working with price, once basic market intuition has been built.
When does technical analysis fail and what should you do at such moments?
Four situations in which the false-signal rate rises to a level at which it is better not to trade. First: high-impact macro releases — non-farm payrolls, CPI, Federal Open Market Committee decisions. In the window of five minutes before and fifteen after release, supports and resistances are routinely broken by fundamental rather than technical flow. Second: thin markets, that is exotic pairs like USD/ZAR or USD/TRY, where price can be illiquid and small orders push the rate by dozens of pips. Third: tight consolidations below a 30-pip range on EUR/USD — every trend-following strategy then generates false breakouts. Fourth: the weekend and the first hour after the Sunday market open in Sydney, when liquidity is thin and gaps are common. In these windows the best decision is no decision — that is, staying out of a position.