What is technical analysis? A complete guide to reading charts

Technical analysis is the study of market prices and trading volume to judge where a price might go next, or at least how likely different outcomes are. A technical analyst reads charts rather than balance sheets. The questions are about behavior: Is this stock in an uptrend or a downtrend? Where did buyers step in last time? Is today's move happening on heavy volume or light? Has the price traveled so far, so fast, that a pause is more likely than another leg?

The approach is more than a century old. Charles Dow sketched its foundations in Wall Street Journal editorials around 1900, Japanese rice traders were drawing candlestick charts long before that, and Robert Edwards and John Magee's 1948 book Technical Analysis of Stock Trends gave Western chartists their vocabulary. Today the same ideas power the indicators, scanners and alerts in nearly every trading app, Finabase included.

This guide explains what technical analysis assumes, the three raw materials it works with, the two opposite ways traders act on a chart, how it differs from fundamental analysis, what is in each part of the toolkit, and what decades of research say about whether it works. It ends with the limits, because a method you cannot criticize is a method you will misuse.

What technical analysis is, and what it is not

Every trade has two sides. When a share changes hands at $100, a buyer thought it was worth paying $100 and a seller was willing to accept it. The price is the record of that agreement, and a price chart is the record of millions of them stacked in time. Technical analysis treats that record as information in itself.

A technical analyst asks practical questions:

• Direction. Is the price making higher highs and higher lows (an uptrend), lower highs and lower lows (a downtrend), or going sideways?
• Location. Is the price near a level where it reversed before, such as support or resistance, or far from any reference point?
• Participation. Is volume rising with the move, or is the move happening on thin trading?
• Momentum. Is the move speeding up or slowing down?
• Risk. If the idea is wrong, where on the chart would that be obvious, and how far away is that point?

What technical analysis is not is a crystal ball. No chart reading tells you with certainty what happens next. The useful output is a probability and a plan: "this uptrend is intact while the price holds above the last swing low at $X; below that, the reason for being long is gone." That sentence is a technical statement. It is also a risk-management statement, which is why traders who distrust chart patterns still use charts.

It is also not one method. "Technical analysis" covers a plain line chart with a 200-day moving average, hand-drawn trend lines, candlestick patterns, dozens of mathematical indicators, and fully automated systems that never show a human a chart at all. They share the same raw data and the same core idea: the path of past prices carries information about the distribution of future ones.

The three assumptions, and how true they are

Classic textbooks list three premises. Each deserves a fair hearing.

1. Price reflects what the market knows. News, earnings, rumors, fear and greed all show up in what buyers pay and sellers accept. The technician therefore studies the price rather than each input. This is mostly true for liquid stocks: big, scheduled news is absorbed within seconds or minutes. It is less true for thinly traded stocks, and it says nothing about whether the market's view is correct, only that it is the view.

2. Prices move in trends. Once a move starts, it is more likely to continue than to reverse at once. There is real evidence for this over some horizons. Stocks that rose most over the past 3 to 12 months have tended to keep outperforming over the next few months (Jegadeesh and Titman, 1993), and futures markets show a similar time-series momentum effect (Moskowitz, Ooi and Pedersen, 2012). Over very short horizons (days to a week or two) and very long ones (three to five years) the tendency often flips toward reversal. So "prices trend" holds sometimes, at some horizons.

3. History rhymes. People react to gains, losses, fear and missing out in consistent ways, so the shapes their trading leaves on a chart recur. That is the case for chart patterns and candlesticks. The weakness is that a recurring shape does not guarantee a recurring outcome. Our own test of the Hammer candlestick pattern: meaning, rules and reliability pattern on 18 large US stocks found the shape alone was close to a coin flip.

The rival view is the efficient market hypothesis. Its "weak form," set out by Eugene Fama in 1970, says past prices cannot be used to earn returns above the market's after costs, because any such pattern would be traded away. Modern evidence lands between the two camps: markets are hard to beat, some effects such as momentum have persisted for decades, and many chart rules that looked profitable on paper did not survive realistic costs.

The raw materials: price, volume and time

All of technical analysis is built from three inputs. The chart below shows them together for the SPDR S&P 500 ETF (SPY) over two years.

Price

Each trading session produces four prices: the open, the high, the low and the close. Together they are called OHLC. A line chart uses only the closes. Bar charts and candlestick charts show all four, which is why most traders prefer them. The Chart types explained: line, OHLC bar, candlestick and area charts guide draws the same 60 Apple sessions four ways.

The close carries extra weight because it is the price at which the day's argument was settled. Many funds price their holdings at the close, many indicators are computed on closes, and a move that holds into the close says more than one that faded before the bell.

Volume

Volume is the number of shares that changed hands. It measures participation. A breakout through resistance on twice the usual volume tells you many traders acted on it. The same breakout on half the usual volume tells you few did. In the chart above, the tallest volume bar of the two years came on April 7, 2025: 256.6 million SPY shares, about 4.1 times the average of the previous 50 sessions. That was the morning SPY traded as low as $481.80 during the tariff sell-off. Spikes like that often mark moments of forced or emotional trading, sometimes near turning points and sometimes not.

Time

Time is the axis everything sits on, and it is a variable in its own right. A 19% fall over seven weeks, as SPY had in early 2025, is a different event from the same fall over two years. Time also sets the scale: the same stock can be in a downtrend on a 30-minute chart and an uptrend on a weekly chart. Choosing the timeframe is the first decision in any chart analysis; see Chart timeframes: intraday, daily, weekly and monthly charts.

Reading the three together

Here is what the SPY chart shows, stated plainly:

1. SPY closed at a record $612.93 on February 19, 2025.
2. It fell to $496.48 by April 8, a decline of 19.0% on closing prices, just short of the 20% that is commonly used to define a bear market.
3. The fall ended in the heaviest volume of the two years. On April 9 SPY rose 10.5% in one session.
4. On June 27, 2025, about four months after the old high, SPY closed at $614.91, a new record. On volume only about 1.2 times its 50-day average, the recovery drew far less urgency than the fall.
5. By October 29, 2026, SPY was at $769.36, about 55% above the April 2025 low close and 25.5% above the February 2025 high.

A technician would describe this as an uptrend, a sharp correction that ended in a high-volume flush, and a resumption of the uptrend. That description is accurate in hindsight. In real time, on April 8, the same chart was also consistent with the start of a longer bear market. Technical analysis gives you a framework for watching which of those stories the price confirms. It does not tell you in advance.

Two philosophies: trend following and mean reversion

Faced with the same chart, traders act in one of two opposite ways.

Trend following assumes that a move in progress tends to continue. A trend follower buys a stock making new highs, or one that crosses above its moving average, and sells when the trend breaks. Losses come in many small pieces, when a trend fails to develop. Profits come in a few large pieces, when one runs for months. Tools: moving averages such as the Simple moving average (SMA): formula, crossovers and limits and Exponential moving average (EMA): formula and how to use it, breakouts to new highs, the Average Directional Index (ADX): measuring trend strength, the Parabolic SAR: how stop-and-reverse works, step by step.

Mean reversion assumes that stretched moves tend to snap back toward an average. A mean-reversion trader buys after a sharp drop inside a range and sells after a sharp rise. Wins tend to be frequent and small. The danger is the rare move that does not snap back, when "oversold" becomes much more oversold. Tools: oscillators such as the Relative Strength Index (RSI): how to read and use it and the Stochastic oscillator (slow %K and %D): how to read it, Bollinger Bands: formula, the squeeze and walking the bands, distance from a moving average.

Neither style is right in general. Most experienced traders pick one primary style that fits their temperament and timeframe, and use the other's tools only as context, for example a trend follower who waits for an oversold dip inside an uptrend before buying.

Technical analysis versus fundamental analysis

Fundamental analysis estimates what a business is worth from its revenue, profits, cash flow, balance sheet and prospects, then compares that value with the price. Technical analysis studies the price and volume themselves.

The two are not rivals for most investors. A common workflow uses fundamentals to decide what is worth owning and technicals to decide when and how much: wait for a pullback to support rather than buying after a 15% gap, or cut a position whose long-term trend has broken even if the story still sounds good. The How to research a stock: a step-by-step guide for beginners guide covers the fundamental side.

The toolkit: a map of this library

Technical analysis has five main families of tools. Here is where each is covered.

Chart basics. How prices are drawn and scaled.

• Chart types explained: line, OHLC bar, candlestick and area charts: line, OHLC bar, candlestick and area charts, and when to use which.
• Heikin-Ashi candles: formula, worked example and how to read them: a smoothed candle that makes trends easier to see, at the cost of hiding the real prices.
• Chart timeframes: intraday, daily, weekly and monthly charts: intraday, daily, weekly and monthly views of the same stock.
• Linear vs logarithmic price scale: which chart to use and why: why long charts need a log price scale.
• Volume analysis: confirmation, climax volume and relative volume: confirmation, climax volume and relative volume.

Trend and structure. Trends and trendlines: how to identify a trend and draw it correctly, Support and resistance: why price levels form and how to use them, Trend channels: drawing parallel channels and reading their breaks, moving averages as trend filters, Dow theory, breakouts and false breakouts, and gaps. The Gap trading: price gap types, gap fills and what the data shows guide covers gaps from a trader's point of view.

Chart patterns. Multi-week shapes: the Head and shoulders pattern: neckline, target and reliability, double tops and bottoms, triple tops and bottoms, triangles, flags, wedges, rectangles and cup-and-handle.

Indicators. Formulas applied to price and volume. Finabase's indicator library has one page per indicator in the chart, grouped as trend (Simple moving average (SMA): formula, crossovers and limits, MACD indicator: signal line, histogram and divergence), momentum (Relative Strength Index (RSI): how to read and use it, Stochastic oscillator (slow %K and %D): how to read it), volume (On-Balance Volume (OBV): reading volume flow and divergence, VWAP (volume-weighted average price): session and anchored) and volatility (Average True Range (ATR): volatility, stops and position size, Bollinger Bands: formula, the squeeze and walking the bands).

Candlestick patterns. One- to five-candle formations such as the Hammer candlestick pattern: meaning, rules and reliability, the Doji candlestick: meaning, exact rules and what the data shows and the Engulfing candlestick pattern: bullish and bearish rules and data pattern. Start with How to read candlestick charts: a guide with real data.

Methods and testing. Combining tools: Fibonacci retracements: levels, extensions and real evidence, Divergence: regular and hidden, bullish and bearish, with RSI and MACD, Multi-timeframe analysis: weekly to daily to intraday, top down, relative strength and Backtesting basics: biases, costs and an honest SPY test.

What the evidence says

Technical analysis has been tested heavily, and the results are worth knowing before you rely on it.

• Early tests looked strong. Brock, Lakonishok and LeBaron (1992) tested simple moving-average and trading-range-breakout rules on the Dow Jones Industrial Average from 1897 to 1986. Buy signals were followed by higher returns than sell signals, and by more than standard statistical models could explain.
• Data-mining shrank them. Sullivan, Timmermann and White (1999) tested nearly 8,000 rule variants and corrected for the fact that, with enough rules, some will look good by luck. The best rule still beat the market in the original sample, but not in the ten years that followed, 1987 to 1996.
• Patterns carry some information. Lo, Mamaysky and Wang (2000) used an algorithm to detect head-and-shoulders, double tops and similar patterns in US stocks from 1962 to 1996. Several changed the distribution of next-period returns, especially on Nasdaq stocks. "Some information" is not the same as a profitable strategy after costs.
• Reviews are mixed. Park and Irwin (2007) surveyed 95 modern studies. 56 found positive results for technical strategies, 20 negative and 19 mixed, and many of the positive ones had weaknesses such as data snooping or understated costs. The edge appeared larger in currency and futures markets than in large US stocks, and smaller in recent decades.
• Momentum is the most durable finding. Stocks with strong 3- to 12-month returns have tended to keep outperforming in many markets and periods. That is a technical-style signal, and the academic literature treats it as a genuine effect.

The fair reading: technical analysis is not useless and not magic. A few effects are real but small, most published rules weaken once traders use them, and transaction costs, slippage and taxes eat edges that look large on a chart.

The limits, honestly

Patterns are easy to see after the fact. On a finished chart, the right turning points look obvious. In real time, every pattern has a version that failed. Always ask what the chart looked like on the day you would have acted.

Signals conflict. On any given day some indicators say buy and others say sell. More indicators do not mean more confidence. Often they are the same price data measured several ways.

Small samples mislead. A pattern that worked five times on one stock proves little. The Hammer candlestick pattern: meaning, rules and reliability study in this library used 167 cases and still could not separate the shape from chance.

Regimes change. A rule tuned to a calm, rising market can fail badly in a crash or a sideways year. SPY's 19% drop in seven weeks in 2025 hurt mean-reversion buyers who bought the first dips, and its 10.5% single-day jump hurt anyone short.

Gaps and halts break levels. A stop order set below support does not guarantee that price. If the stock opens 10% lower, the order fills near the open. See Stop-loss placement: volatility, structure and time stops and Gap trading: price gap types, gap fills and what the data shows.

The chart cannot see the news. An earnings miss, an FDA decision or a lawsuit can erase any setup in one session. Know when a stock reports.

It is easy to fool yourself. Testing many rules and keeping the best one will always find something that "worked." Test on data you did not use to design the rule, include costs, and size positions so a string of losses is survivable. The Position sizing: how many shares to buy for a set risk and Trading plan and trading journal: what to write down guides go further.

How Finabase supports technical analysis

Every tool in this library maps to a part of Finabase.

• Charts. Every symbol has a chart tab at /symbol/<symbol>/chart, for example SPY. The toolbar switches between line, candlestick, OHLC, Heikin-Ashi and bar charts, turns volume and a log price scale on or off, adds indicators from the picker, compares symbols, and draws trend lines. Ranges run from one day of one-minute bars to the full history. Signed in, the settings for each range are saved and shared with the Stock Master apps.
• Indicators. The chart computes every indicator in the indicator library on the server, most of them with TA-Lib's standard formulas, and draws them in panes under the price.
• Scanner. The Scanner lists, exchange by exchange, the stocks where a signal fired on the latest sessions: 52-week highs and lows, gaps, moving-average crosses, indicator signals and candlestick patterns.
• Technical gauge. Each symbol page summarizes its indicators and recent patterns into a buy/neutral/sell gauge. It describes the chart. It does not forecast it.
• Backtests and strategies. Backtest runs an indicator or candlestick rule against a year of real prices and shows every trade. Strategy tests rules such as "hold SPY while it is above its 50-day average, else hold cash" over two years.
• Trend Score and screens. Trend Score ranks stocks by trend quality, and the Screener puts technical fields (50- and 200-day averages, 52-week range, returns from one week to two years, volume) next to fundamentals.

Frequently asked questions

Does technical analysis actually work?

Partly. Some effects, especially momentum, have held up across decades and markets, and charts are genuinely useful for timing and risk control. Many specific rules and patterns show little edge once costs and data-mining are accounted for. Treat any signal as a probability to test, not a rule to obey.

Can long-term investors use technical analysis?

Yes, mostly for context and risk. A weekly or monthly chart shows whether a holding is in a long-term uptrend, and a log-scale chart shows its history in proportion. Many long-term investors ignore short-term signals entirely and still look at the 200-day average or a major support level before adding money.

What is the best timeframe for technical analysis?

The one that matches how long you plan to hold. Day traders work on 1- to 15-minute charts, swing traders on daily charts, and position traders on daily and weekly charts. Checking one timeframe higher than your trading timeframe shows the bigger trend you are trading within. See Day trading vs swing trading vs position trading compared.

Do I need indicators to do technical analysis?

No. Many traders use only price, volume and a moving average or two. Indicators are transformations of the same price data. They can make a feature easier to see, such as momentum fading, but they add no new information. Start with the bare chart and add an indicator only when you can say what question it answers.

Is technical analysis just gambling?

It becomes gambling when it is used without a plan: no defined risk, no sizing rule, no record of results. Used with a written plan, a stop, a position size you can afford to lose, and a journal that shows whether the method works for you, it is a structured way to make and review decisions under uncertainty.

Summary

Technical analysis reads price, volume and time to judge the odds of what a market does next. It assumes that prices reflect what is known, tend to trend, and repeat crowd behavior. Each assumption is partly true. Traders act on charts either by following trends or by fading extremes, and each style fails in the other's favorite market. The research supports some effects, momentum above all, and is skeptical of most single-pattern rules once costs and data-mining are counted. Used for what it does well, framing a trade, defining where you are wrong and sizing risk, technical analysis is a practical tool. Used as prediction, it disappoints. The rest of this section covers each tool in detail, starting with Chart types explained: line, OHLC bar, candlestick and area charts.