Technical Analysis

The Three Foundational Assumptions of Technical Analysis

Technical analysis rests on three core assumptions that together create its logical framework — assumptions that distinguish it from fundamental analysis and that inform every specific tool and technique within the discipline.

The first assumption is that market action discounts everything — that the current market price of a security already reflects and incorporates all publicly available information about the security, including fundamental factors such as earnings, economic conditions, competitive developments, and investor sentiment. Technical analysts argue that the price is therefore the most complete and efficient summary of all available information — attempting to separately analyse fundamental factors adds no useful information because those factors are already embedded in the price. This assumption is closely related to — but not identical to — the Efficient Market Hypothesis, which is discussed below.

The second assumption is that prices move in trends — that securities prices do not move randomly but instead follow identifiable directional patterns called trends that persist over time until a specific reversal signal appears. An uptrend is a succession of higher highs and higher lows — each rally peak exceeds the prior peak and each correction trough exceeds the prior trough, creating a staircase pattern ascending over time. A downtrend is the reverse — a succession of lower highs and lower lows. A sideways or ranging market oscillates between a defined support level below and resistance level above without making persistent directional progress in either direction. The core trading philosophy derived from this assumption is trend following — identifying the direction of the prevailing trend and trading in alignment with it rather than against it — encapsulated in the trading maxim that the trend is your friend.

The third assumption is that history repeats — that because human psychological responses to rising and falling prices are consistent across market participants and across time, the price patterns that have formed and resolved in the past will form and resolve in similar ways in the future. Fear, greed, hope, and capitulation produce recognisable and recurring signatures in price and volume data — patterns that experienced technical analysts learn to identify and interpret as probabilistic signals of likely future price behaviour. This assumption acknowledges that technical analysis does not produce certainties — it identifies probabilities based on the historical behaviour of similar patterns.

Dow Theory — The Historical Foundation

The intellectual foundation of modern technical analysis is Dow Theory — the framework developed by Charles H. Dow, co-founder of Dow Jones and Company and the first editor of The Wall Street Journal, through a series of editorials published between 1900 and 1902 and subsequently systematised by William Hamilton and Robert Rhea.

Dow Theory identifies three categories of market trends operating simultaneously on different time scales — the primary trend, the secondary trend, and the minor trend. The primary trend is the major long-term direction of the market — a bull market or bear market that typically lasts one to several years and represents the fundamental direction of market movement. The secondary trend is the intermediate movement that runs counter to the primary trend — corrections in a bull market and rallies in a bear market — typically lasting weeks to months and retracing thirty-three to sixty-six percent of the preceding primary move. The minor trend is the short-term day-to-day fluctuation — essentially market noise relative to the primary and secondary trends.

Dow Theory also establishes several key principles that remain central to technical analysis. The principle that the averages must confirm — Dow observed that bull and bear market signals in industrial stocks should be confirmed by similar signals in transportation stocks before the signal is reliable, reflecting the economic logic that manufacturing activity requires transportation to distribute goods.

The principle that volume confirms the trend — trading volume should expand in the direction of the primary trend and contract on secondary counter-trend moves, confirming that the trend has broad participation and momentum. The principle that trends persist until reversed — a trend is assumed to be in effect until clear reversal signals appear, cautioning against assuming that a trend has ended based on short-term counter-trend movements.

Support and Resistance — The Price Level Framework

Support and resistance are the most foundational concepts in technical analysis — price levels at which historical market activity suggests that buying or selling pressure has been sufficient to stop or reverse price movement, and at which similar activity may occur in future encounters with those levels.

A support level is a price level at which buying interest has historically been sufficient to prevent further price decline — the price floor at which demand overwhelms supply and the stock stops falling or reverses upward.

Support can be identified from prior price lows, from areas of high historical trading volume — where many investors established positions — and from specific mathematical levels including round numbers, moving averages, and Fibonacci retracement levels.

When a stock declines toward a well-established support level, technical analysts expect buying interest to re-emerge as investors who previously bought at that level add to positions or new buyers view the support as an attractive entry point.

A resistance level is a price level at which selling interest has historically been sufficient to prevent further price advance — the price ceiling at which supply overwhelms demand and the stock stops rising or reverses downward. Resistance can be identified from prior price highs and from levels at which large numbers of investors hold positions at a loss and may sell when the stock returns to their purchase price — the trapped longs who are relieved to break even and exit.

A defining characteristic of support and resistance — and one that is directly examination-tested — is role reversal. When a resistance level is decisively broken to the upside — the stock closes materially above the previous ceiling — that former resistance level typically becomes a new support level as investors who missed the initial breakout use the former resistance as a reference point for buying on subsequent pullbacks.

Similarly, when a support level is decisively broken to the downside — the stock closes materially below the previous floor — that former support becomes a new resistance level as investors who held through the decline use the former support as a reference point for selling on subsequent rallies.

Trend Lines and Channels

Trend lines are straight lines drawn on price charts connecting a series of price lows in an uptrend — forming an ascending support line — or connecting a series of price highs in a downtrend — forming a descending resistance line. A valid trend line requires at minimum two contact points but is considered more reliable with three or more contacts — each additional touch of the trend line that holds confirms its significance as a reference level for market participants.

A channel is formed when two parallel trend lines define both the support and resistance of a trending market — an ascending channel is defined by an upward-sloping support line and a parallel upward-sloping resistance line, with price oscillating between the two boundaries while making overall upward progress. Channel boundaries serve as reference points for tactical trading decisions within the established trend — buying near the lower channel boundary and selling near the upper boundary, or using a decisive break below the channel as a signal that the trend is reversing.

A trend line break — particularly a close of significant magnitude outside the trend line on above-average volume — is among the most commonly used technical signals of trend reversal or interruption. The decisive break of a long-established trend line represents the exhaustion of the directional momentum that had sustained the trend and suggests that a meaningful change in market dynamics may be underway.

Chart Patterns — The Visual Language of Technical Analysis

Chart patterns are recognisable formations in price history that technical analysts have catalogued and associated with characteristic subsequent price behaviour — both continuation patterns that suggest the prior trend will resume after a pause and reversal patterns that suggest the prior trend is ending and a new trend in the opposite direction is beginning.

The head and shoulders pattern is the most widely recognised and respected reversal pattern in technical analysis — a three-peak formation in which a central higher peak — the head — is flanked by two lower peaks — the left and right shoulders — separated by troughs whose connection forms the neckline. A decisive break below the neckline on expanding volume completes the head and shoulders pattern and signals a reversal from uptrend to downtrend. The price target implied by the pattern is determined by measuring the vertical distance from the top of the head to the neckline and subtracting that amount from the neckline breakout point. The inverted head and shoulders — the mirror image — signals a reversal from downtrend to uptrend.

Double tops and double bottoms are simpler reversal patterns in which price reaches approximately the same level twice — separated by a meaningful pullback — and fails to make additional progress, signalling exhaustion of the prevailing trend. A double top — two approximately equal peaks — signals potential reversal from uptrend to downtrend. A double bottom — two approximately equal troughs — signals potential reversal from downtrend to uptrend.

Continuation patterns including flags, pennants, and symmetrical triangles represent brief pauses and consolidations within an established trend — periods of reduced volatility and narrowing price range that typically resolve with a resumption of the prior trend in the same direction.

Moving Averages — The Trend Smoothing Tool

Moving averages are among the most widely used technical indicators — they smooth out the short-term price fluctuations that obscure the underlying trend by calculating the average of closing prices over a specified number of periods and plotting that average as a line on the price chart.

A simple moving average calculates the arithmetic average of the closing prices over the specified period — the fifty-day simple moving average averages the closing prices of the most recent fifty trading days. An exponential moving average weights more recent prices more heavily than older prices, making it more responsive to recent price changes than the simple moving average.

Moving average crossovers — the moment when a shorter-period moving average crosses above or below a longer-period moving average — are among the most widely followed entry and exit signals in technical analysis. The golden cross — the crossing of the fifty-day moving average above the two-hundred-day moving average — is interpreted as a bullish signal suggesting that short-term momentum has become more positive than the long-term trend. The death cross — the fifty-day crossing below the two-hundred-day — is the bearish counterpart. Whether these signals have genuine predictive power in the modern market environment or whether they succeed primarily as self-fulfilling prophecies — because enough market participants act on them to generate the predicted price movement — is a matter of ongoing debate among market practitioners and academics.

Volume — The Confirming Evidence

Volume — the number of shares or contracts traded in a given period — is the second primary data input for technical analysis alongside price, providing what technical analysts consider confirmation of or divergence from the price signal.

The principle that volume confirms the trend is among Dow Theory’s central contributions to technical analysis. In a healthy uptrend, volume should expand on price advances and contract on pullbacks — the rising price attracts more participants and generates more transactions, confirming that the buying interest is broad and genuine. When volume contracts on price advances and expands on price declines — the reverse of the healthy pattern — the divergence suggests that the uptrend is weakening and may be approaching exhaustion.

A breakout from a consolidation pattern — whether above resistance or below support — is considered more reliable when accompanied by materially above-average volume. Volume expansion on a breakout confirms that many market participants are acting on the signal simultaneously, making it more likely that the breakout represents a genuine shift in supply-demand dynamics rather than a temporary or manipulated price aberration.

Technical Analysis and the Efficient Market Hypothesis

The relationship between technical analysis and the Efficient Market Hypothesis is one of the most intellectually important and most directly examination-tested topics in the technical analysis curriculum.

The weak form of the Efficient Market Hypothesis — one of the three forms proposed by Eugene Fama — states that current security prices already fully reflect all past price and trading information. If the weak form EMH is correct, no investment strategy based on the analysis of historical price patterns and volume data can systematically generate risk-adjusted excess returns — because all such information is already incorporated into the current price. Technical analysis, which is explicitly based on the premise that past price and volume data can be used to identify future price behaviour, is directly contradicted by the weak form EMH.

The semi-strong form EMH adds that prices reflect all publicly available information — including financial statements, economic data, and analyst reports — implying that neither technical analysis nor fundamental analysis can generate systematic excess returns. The strong form EMH asserts that prices reflect all information including private non-public information.

Academic evidence on the predictive value of technical analysis is mixed — some studies have found statistically significant predictive power in specific technical patterns or indicators over specific historical periods and markets, while other studies have found that the apparent predictability disappears after transaction costs or does not persist out-of-sample. The most intellectually honest conclusion is that technical analysis may identify genuine patterns in some markets and periods — particularly in markets with less sophisticated participant populations or during periods of extreme sentiment — while providing limited edge in highly liquid, heavily analysed markets with sophisticated institutional participation.

Technical Versus Fundamental Analysis — The Practical Comparison

The Series 65 examination tests the comparison between technical and fundamental analysis as the two primary schools of investment analysis, and investment advisers must be able to articulate the differences clearly.

Fundamental analysis seeks to determine the intrinsic value of a security by analysing the underlying financial characteristics of the issuing company — earnings, cash flows, assets, liabilities, competitive position, management quality, and industry dynamics. The fundamental analyst compares the intrinsic value to the current market price to identify undervalued or overvalued securities. The time horizon of fundamental analysis is typically long-term — the analyst waits for the market to recognise and correct the mispricing between current price and intrinsic value.

Technical analysis seeks to identify the direction and momentum of price movements through the study of historical price and volume data — without direct reference to the intrinsic value of the underlying company. The technical analyst may be entirely ignorant of the company’s financial characteristics and make investment decisions based solely on price chart patterns and indicators. The time horizon of technical analysis can range from intraday to weeks or months — technical traders typically have shorter holding periods than fundamental investors.

Many professional investors and portfolio managers employ both approaches simultaneously — using fundamental analysis to identify which securities to buy or sell based on valuation and financial quality, and using technical analysis to optimise the timing of entry and exit within the fundamentally identified opportunity.

Calculating the Averages — Working the Arithmetic on a Short Price Series

The weighting inside a moving average is visible on a series short enough to compute by hand. Take five consecutive closing prices of 20, 22, 21, 23 and 24 — their sum is 110, so the five-day simple moving average is 110 divided by 5, or 22.00. Each of the five closes contributes one fifth of that figure, which means the close of 20 recorded five sessions ago bears on the average exactly as much as the close of 24 recorded today. A simple moving average has no mechanism for treating a recent price as more informative than an old one — every close inside the window is worth one divided by the number of periods, no more and no less, for as long as it remains in the window.

That equal weighting has a consequence the chart does not announce. When a sixth close of 25 is recorded the window drops the 20 and takes up the 25, so the sum moves from 110 to 115 and the average from 22.00 to 23.00 — a rise of exactly the entering close less the departing close, divided by the number of periods, or 25 less 20 over five. Apply the same arithmetic to a seventh close of 23: the window now drops the 22, and the average moves by 23 less 22 over five, a rise of 0.20 to 23.20. The average has risen on a session in which the price fell from 25 to 23, because the figure that left the window was lower than the figure that entered it, and a trader who reads a rising average as evidence of a rising price has read the arithmetic rather than the market.

An exponential moving average is built differently. It applies a chosen fraction to the newest close and the remainder of one to its own previous value — taking a fraction of one third for illustration and starting the calculation from the 22.00 computed above, the sixth close of 25 gives one third of 25 plus two thirds of 22.00, which is 23.00, and the seventh close of 23 gives one third of 23 plus two thirds of 23.00, which is 23.00 again. On that seventh session the simple average has moved up to 23.20 while the exponential average has not moved at all, because the simple average discarded a close and the exponential average discarded nothing: the starting figure of 22.00 still carries four ninths of the weight, the close of 25 carries two ninths, and the newest close carries one third. One third is more than the one fifth a five-day simple average gives its newest close, which is the whole of what it means to say that the exponential average is more responsive to recent prices — and because no close is ever dropped outright, the exponential average cannot move on a departure at all.

Acting on a Level — From the Chart to the Order

A support or resistance level is derived from prior turning points, and those turning points rarely fall on one identical price. A stock that has stopped falling three times at 48.10, 47.90 and 48.55 has established its support across a band 0.65 wide — about one and a third percent of the price — rather than at a single figure, and the three lows identify 48.10 no more than they identify 48.55. The width of that band is not a detail to be settled afterwards. Until it is chosen the level cannot be converted into an order, because the price at which the trader is prepared to say the support has failed is the lower edge of the band, and nothing in the price history fixes where that edge falls.

The test of whether a level has given way is applied to the closing price and not to the extreme reached during the session. A stock whose support stands at 48 and which trades down to 47.40 before closing at 48.30 has pierced the level during the day and left it intact on the measure the level is tested on, so a trader watching the last price at midday and a trader reading the daily close that evening will reach opposite conclusions about the same session. Only one of those readings is the test, and the practical effect is that a level is never confirmed broken until the session has finished — whoever acts on the intraday penetration is acting ahead of the test rather than on it.

How far beyond the level the close must fall before a break is treated as decisive is a choice with a computable price. On a resistance level at 50, a trader who requires a close one percent beyond it confirms the break at 50.50, and one who requires three percent confirms it at 51.50 — the stricter test surrenders a further dollar a share of the advance, which is two percent of the level, before any position is taken. The same arithmetic runs the other way on a support level at 50: the one percent test closes the position at 49.50 and the three percent test at 48.50. The margin a trader adds in order to avoid acting on an insignificant penetration is therefore paid for in the price at which the trade is finally done, and the size of that payment can be worked out before the trade rather than discovered after it.

Common Errors in Reading the Signals

The first error is treating a trend line drawn through two points as established. Any two distinct points define exactly one straight line, so a line drawn through two lows is certain to fit both of them perfectly whatever those two lows happen to be, and that fit is a property of the geometry rather than evidence that market participants are using the line as a reference. The information arrives with the third contact and the ones after it, because a third low that falls on a line already drawn through two others is a result the geometry did not guarantee. A two-contact line is therefore a line waiting to be tested, and a line with three or more contacts that have held is a line that has survived a test.

The second error is reading a moving average crossover as a statement about where the price is now. Both lines in a crossover are averages of closes already recorded, and a crossing can be produced by an old figure leaving the longer window rather than by anything the price has just done. Take seven closes of 30, 10, 10, 12, 14, 16 and 11. On the sixth session the three-day average is 14.00 and the six-day average is 15.33, the shorter line sitting below the longer. On the seventh the three-day average is 13.67 and the six-day average is 12.17 — the shorter line has crossed above the longer — and yet the seventh close of 11 sits below both lines, and below the previous close of 16 as well. The crossover is a true statement about the relationship between two averages of history, and it locates the latest price neither above nor below anything.

The third error is counting volume expansion without a baseline. The test a breakout is held to is volume materially above the average for the security, which is a comparison against that security’s own recent volume rather than against the previous session’s figure. A stock whose volume has averaged 400,000 shares a day over the preceding ten sessions, and which trades 500,000 on the day it closes above resistance, has traded twenty-five percent above its average — a figure an ordinary session can produce with no breakout in it at all — while 1,200,000 shares is three times the average and is the order of expansion the test contemplates. A day that merely exceeds the day before it has satisfied nothing, because the day before it may itself have been a quiet one.

Examination Relevance and Key Takeaways

Technical analysis is tested on the Series 65 examination in the context of investment analysis approaches, the three foundational assumptions, Dow Theory, support and resistance, chart patterns, moving averages, volume, and the relationship with the Efficient Market Hypothesis.

The key points to retain are these.

Technical analysis is the study of historical price and volume data to identify patterns and trends that may predict future price behaviour — operating on three foundational assumptions that market action discounts everything, that prices move in identifiable trends, and that history repeats because human psychological behaviour in markets creates recurring patterns. Dow Theory — developed by Charles Dow through Wall Street Journal editorials published 1900 to 1902 — identifies three concurrent trend categories — primary, secondary, and minor — and establishes that volume should confirm the price trend and that averages must confirm each other for valid signals.

Support is a price level at which buying interest has historically prevented further decline. Resistance is a price level at which selling interest has historically prevented further advance. When resistance is decisively broken it becomes support — when support is decisively broken it becomes resistance — the role reversal principle. The head and shoulders pattern is the most widely recognised reversal pattern — a central head flanked by two lower shoulders with a neckline breakout completing the pattern. Moving average crossovers — particularly the golden cross of the fifty-day above the two-hundred-day and the death cross of the fifty-day below the two-hundred-day — are among the most followed trend signals. Volume confirms price trends — expanding volume on trend continuation and contracting volume on pullbacks validates the trend’s strength.

The weak form Efficient Market Hypothesis directly contradicts technical analysis by asserting that current prices already fully reflect all past price and volume information, making historical pattern analysis unable to generate systematic excess returns — the academic evidence on technical analysis effectiveness is mixed. Technical analysis differs from fundamental analysis in that it analyses only price and volume history rather than the underlying company’s financial characteristics, typically employs shorter holding periods, and focuses on market timing rather than intrinsic value identification.