What Is Range Break Analysis?

Reading time: 12 minute(s)
Range break analysis is one of the most used techniques in trading and its knowledge can help traders to broaden their spectrum of interpretation of the market.

Range break analysis is one of the most used techniques in trading and its knowledge can help traders to broaden their spectrum of interpretation of the market.

Trading range breakouts are one of the most respected price movements by all technical analysts. Trend followers love them and short-term swing traders who base their decisions on overbought and oversold situations are anxious about their appearance. Technical analysis books have a special section dedicated to range breaks and almost all trading methods incorporate a strategy for them.

In this article, we will briefly review the classic break strategy and discuss the Habit Force underlying false breaks. In the sequence, we will talk about CWTW and Counterattack tactics.

Trading Ranges - Review and Basic Tactics

In figure 1 you can see what a classic trading range looks like. As its name suggests, a trading range is a strip defined by two horizontal lines (a resistance line and a support line), which encompasses the price values ​​(in black) of a tradable asset over a period of time. Trading ranges are considered energy accumulation periods. When the price finally breaks out of the range, the accumulated energy is unleashed, resulting in a significant price movement in the direction of the breakout.

The basic strategy against side markets is to wait until a breakout occurs and take a position in the direction of the breakout.

Clasic Trading Range

Figure 1. Classic trading range

However, there are a number of short-term traders trying to profit from price swings within the trading range by buying near support and selling near resistance. This last tactic satisfies swing traders' need for action and has one main advantage: deep buy and sell levels. However, there is a debate among trend followers and short-term swing traders about whether trading within a price range offers a significant advantage. Some of the common drawbacks attributed to trading within the price range are: • When the range becomes clearly visible to more and more traders, it is usually time to cut as catching a profitable move within the range requires a dose of lack of interest. • The breadth of the range is not enough to compensate for the risk / reward ratio (including commissions) and, since time is money, the time taken to track price turns within the range subtracts much of the expected profit. • Fundamentals seem to play no role in price swings within trading ranges so range traders rely solely on the technical aspect. On the other hand, traders who base their positions on range breakouts often face frustrating "false breakouts". In a "false break" the price leaves the trading range (sometimes accompanied by significant volume), but not to start a trend in the direction of the break. In figure 2 you can see what a typical false breakout looks like. Price (in black) exits the range and tricks traders into taking a long position with a stop at the range's previous resistance line. The price is then rotated and the tendency of the markets to maintain their "habits" using the term "habit force" or "habit force" (abbreviated HF). The HF principle states that markets enter a trend to maintain their "habits."

Typical False Break

Figure 2. Typical false break

One of Dow's fundamental principles of trend continuation (a trend is active until it is exhausted) is a type of HF. The price trend to reverse in the vast majority of trends is also a type of HF as retracements show that the price is reluctant to change in value and tries to return to its previous state.

Setbacks and the HF Principle. A philosophical approach

The vast majority of breaks are accompanied by setbacks. The retracement is formed when the price tries to re-enter the range after a breakout and this is another type of HF as the price actually tries to follow its oscillatory movements within the range.

Figure 3 shows the case of an upward break accompanied by a setback. From point A to point C, the price has a habit of being within the range defined by blue support and red resistance lines (medium-term habit). From point B to point C the price is under the effect of the short-term uptrend (short-term habit). As soon as the price reaches the resistance level, two forces are applied on it. The short-term force tries to push the price above the resistance and the medium-term force tries to send the price back to the blue support line. At this point, considering the old saying that says "The longer the habit is maintained, the more difficult it is to overcome", we could expect the medium-term habit to defeat the short-term one.

Upward Break

Figure 3. Example of an upward break

If you're wondering why there are so many technical analysts trying to enter a stock as soon as a breakout occurs, the answer is simple: if a break turns out to be valid and a trend starts in the direction of the break, this trend is usually very powerful. Technical analysts try to enter the trend as soon as possible and make as much profit as possible, but at the same time take rigid precautions by using tight stops that execute without delay. This is evident in David Ryan's approach to breakage discussed in the next paragraph.

The Magician's Approach

In his book Market Wizards, Interviews With Top Traders, Jack D. Schwager reproduces the David Ryan interview, which uses many ideas from William O'Neil's stock selection method, which is based on "buying power" (that is, the purchase of the best performing stocks from both a technical and a fundamental point of view). According to Schwager, Ryan's approach to breakouts to the upside is to buy a stock as soon as it is breaking a long-term range and at the same time place a stop loss order at the top of the range. As Ryan says in Schwager's book: "If the stock re-enters range, I have a rule of thumb to cut at least 50 percent of the position. Oftentimes, when a stock re-enters range, it returns to range. lower end of range ".

Even if Ryan's approach is to "buy strength" (thus buying promising and healthy stocks), it is obvious that he adheres to the HF principle and is not based on the premise that a break to the upside necessarily implies a strong uptrend. On the other hand, a more detailed analysis of Ryan's words leads us to the Counterattack tactic. If when a stock re-enters the range, it frequently returns to its lower end, then it may be a good idea for short-term traders to take a short position the moment the stock re-enters the range after the break. We will cover the Counter-Strike tactic later in this article.

Setbacks and the HF principle. An Empirical Approach

One of the main reasons for David Ryan's (and almost all technical analysts’) preference for breakouts to the upside is that after a breakout of a long-term range, there is no significant resistance above price. In other words, everyone who has bought within the range is on the profit and the stock is not under selling pressure. This is true in most cases, especially when the breakout occurs after a very long trading range (several months or years), but the frequency of pullbacks after breakouts shows that there is actually selling pressure after the breakout. The breakout by everyone who was "stuck" in value during the range development, finally finding the opportunity to exit at a very favorable price.

The Go-with-the-Winner (GWTW) Tactic on Bullish Breaks

Given that in reversals there is a battle between a short-term habit and a longer-term one, a conservative approach would be to wait and see who will be the winner before acting. How can you tell who has won? In the case of a break to the upside, you just have to look for the price to break above the breakout bar after having retraced.

GWTW Tactic

Figure 4. GWTW Tactic

In figure 4, the best time to take a long position is neither in A, nor in B or C, but in D. In D it is clear that the force of habit, which has been responsible for sending the price of B and C, is not stronger than the force of habit that wants the price to go up. This type of trading action (hereinafter referred to as GWTW) is of course more conservative than the one that follows the price as soon as the breakout takes place. The main advantage of GWTW is the adaptation to market conditions at the right time. Furthermore, if a stop loss is set at the resistance of the previous range (horizontal red line in figure 4), the risk / reward ratio is considerably higher for cases where the BC segment (see figure 4) is not high enough.

The Warning Sign

Are there price signals that you can warn of a possible breakout? The answer is, in most cases, yes. Many bullish breaks usually take place after a price failure to get close to the support level of the range. Within a range, the price tends (by definition) to move from the low of the range to the top of the range. A price failure to reach the bottom of the range indicates its tendency to change this habit.

In figure 5 you can see an emblematic case of a break to the upside. The price oscillates within a range and sequentially touches the red and blue lines that define the range. After reaching a local high at point A, the price drops to point B, which is well above the support level (blue horizontal line), but is below the midline of the range. In the sequence, the price advances strongly (point C) and then breaks the resistance level (red horizontal line). The warning signal is given at point C.

Break to the Upside

Figure 5. Break to the upside

The GWTW strategy is able to save us the frustrating case in which the price falls back and re-enters the range (point D), thus activating the stops. Even if the price returns to the range, there is still hope for a profitable long position if the price does not reach the support level of the range (point E) and more likely if the price does not fall below the level of point B. The signal of Buy occurs at point F, where the price exceeds the initial break with a stop loss at the top of the range.

Note that the example in Figure 5 is the general case. Often times the price will not drop to point E after the breakout and will quickly move from point D to point F. Also, even though a pullback is shown in figure 5, the warning signal is generally a significant indication that A pullback may not form and is one of the cases where it may be worth entering the breakout, especially if all-time highs are broken there.

Simply put, when you are considering going into a breakout without waiting for a pullback, check to see if a warning signal has already occurred as this will increase the odds in your favor.

The Counterattack Tactic

Ranges that are not well defined (that is, ranges whose support / resistance is not clearly defined) are more prone to false breakouts as the breakout itself is difficult to define and see. In these cases, short-term traders can make a profit through the Counter-Strike tactic. For this tactic, the range support / resistance limits (which are used to provide breakout signals) should be defined in such a way that the zone contains the vast majority of prices and leaves out only very brief exaggerations (spikes, etc. .) If the price re-enters the range after a break to the upside, a sell signal is triggered with a stop loss at the high marked after the break,

The Counterattack tactic can also be applied at well-defined ranges. The logic behind this is that many technicians will use the range resistance as a stop loss when they go long at the break, so when the price clearly re-enters the range, a cascade of stop-loss orders will be triggered resulting in a drop in price. There are a few things to keep in mind regarding the Counterattack tactic. First, the risk / benefit ratio is extremely important. The range must be wide enough to compensate for the associated risk, which is defined by the stop loss level. In second place, It would be wise to use a suitable filter to determine if the price turn within the range is acceptable and this is because after a breakout there are traders who wait for a pullback and place their buy orders at the resistance level of the range. Third, there should be no warning signs before the break.

Some Examples

Although we have seen the GWTW and Counterattack tactics for breaks to the upside it can also be applied to breaks to the downside with the corresponding conversions. The Applied Materials (NDX) daily chart is presented in Figure 6. The blue and red horizontal lines define a range. Points A, B, C and D indicate false breaks and blue arrows indicate possible entry points for the Counter-Strike tactic. Green horizontal segments show preferred stop loss levels.

Applied Materials Daily Chart (NDX)

Figure 6. Applied Materials Daily Chart (NDX)

Source: xStation

Please be aware that the presented data refers to the past performance data and as such is not a reliable indicator of future performance.

Daily Linear Chart

Figure 7. Daily Linear Chart

Source: xStation

Please be aware that the presented data refers to the past performance data and as such is not a reliable indicator of future performance.

Shering's Daily Chart (DAX)

Figure 8. Shering's Daily Chart (DAX)

Source: xStation

Please be aware that the presented data refers to the past performance data and as such is not a reliable indicator of future performance.

A similar example is shown in Figure 7, this time with the Linear Technology (NDX) daily chart. The Kickback signals (blue arrows) after points B and C are clear (green horizontal line segments show stop losses). A sell signal is displayed after point A with a question mark above it to show that relying solely on the information in the chart with this Counter signal is very risky. The reason for this is the warning signal at A. (Note the price movement from point X to point A and the low at Y).

Figure 8 shows Shering's daily chart (DAX). There you can see a not so well defined wide range, which lasted more than three years. The resistance and support levels for this range are not very clear and therefore are presented as red and blue bands, respectively (note that the upper and lower limits of the red band are defined by price data prior to the end of the period). Since the price fell from point A to point B and then advanced again and entered the red band, it is considered that there is a warning signal at point C because B is above the blue band. The price penetrates the upper limit of the red band, reaches point D, moves away from the red band and then advances again to new highs.

Deutsche Böerse N (DAX) daily chart

Figure 9. Deutsche Böerse N (DAX) daily chart

Source: xStation

Please be aware that the presented data refers to the past performance data and as such is not a reliable indicator of future performance.

The last chart example is in figure 9, where you can see the daily chart of Deutsche Böerse N (DAX). This example has been chosen to demonstrate that when a warning signal is present (see point B), a break may not be followed by a pullback. In general, breaks to the upside of very long-term (and preferably narrow) ranges after a warning signal and under bullish conditions for the market in general do not tend to pull back.

This content has been created by XTB S.A. This service is provided by XTB S.A., with its registered office in Warsaw, at Prosta 67, 00-838 Warsaw, Poland, entered in the register of entrepreneurs of the National Court Register (Krajowy Rejestr Sądowy) conducted by District Court for the Capital City of Warsaw, XII Commercial Division of the National Court Register under KRS number 0000217580, REGON number 015803782 and Tax Identification Number (NIP) 527-24-43-955, with the fully paid up share capital in the amount of PLN 5.869.181,75. XTB S.A. conducts brokerage activities on the basis of the license granted by Polish Securities and Exchange Commission on 8th November 2005 No. DDM-M-4021-57-1/2005 and is supervised by Polish Supervision Authority.

Join over 1 Million investors from around the world

We use cookies

By clicking “Accept All”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts.

This group contains cookies that are necessary for our websites to work. They take part in functionalities like language preferences, traffic distribution or keeping user session. They cannot be disabled.

Cookie name
Description
SERVERID
userBranchSymbol Expiration date 17 October 2024
adobe_unique_id Expiration date 16 October 2025
test_cookie Expiration date 1 March 2024
SESSID Expiration date 9 September 2022
__hssc Expiration date 16 October 2024
__cf_bm Expiration date 16 October 2024
intercom-id-iojaybix Expiration date 13 July 2025
intercom-session-iojaybix Expiration date 23 October 2024
xtbCookiesSettings Expiration date 16 October 2025
xtbLanguageSettings Expiration date 16 October 2025
TS5b68a4e1027
countryIsoCode
userPreviousBranchSymbol Expiration date 16 October 2025
TS5b68a4e1027
_cfuvid
intercom-device-id-iojaybix Expiration date 13 July 2025
__cfruid
__cf_bm Expiration date 16 October 2024
__cf_bm Expiration date 16 October 2024
_cfuvid
adobe_unique_id Expiration date 16 October 2025
TS5b68a4e1027
_cfuvid
xtbCookiesSettings Expiration date 16 October 2025
SERVERID
TS5b68a4e1027
__hssc Expiration date 16 October 2024
test_cookie Expiration date 1 March 2024
intercom-id-iojaybix Expiration date 13 July 2025
intercom-session-iojaybix Expiration date 23 October 2024
intercom-device-id-iojaybix Expiration date 13 July 2025
UserMatchHistory Expiration date 31 March 2024
__cf_bm Expiration date 16 October 2024
__cf_bm Expiration date 16 October 2024
__cf_bm Expiration date 16 October 2024

We use tools that let us analyze the usage of our page. Such data lets us improve the user experience of our web service.

Cookie name
Description
_gid Expiration date 9 September 2022
_gat_UA-22576382-1 Expiration date 8 September 2022
_gat_UA-121192761-1 Expiration date 8 September 2022
_ga_CBPL72L2EC Expiration date 16 October 2026
_ga Expiration date 16 October 2026
AnalyticsSyncHistory Expiration date 8 October 2022
af_id Expiration date 31 March 2025
afUserId Expiration date 1 March 2026
af_id Expiration date 1 March 2026
AF_SYNC Expiration date 8 March 2024
__hstc Expiration date 14 April 2025
__hssrc
_vwo_uuid_v2 Expiration date 17 October 2025
_ga_TC79BEJ20L Expiration date 16 October 2026
_vwo_uuid Expiration date 16 October 2025
_vwo_ds Expiration date 15 November 2024
_vwo_sn Expiration date 16 October 2024
_vis_opt_s Expiration date 24 January 2025
_vis_opt_test_cookie
_ga Expiration date 16 October 2026
_ga_CBPL72L2EC Expiration date 16 October 2026
__hstc Expiration date 14 April 2025
__hssrc
_ga_TC79BEJ20L Expiration date 16 October 2026
af_id Expiration date 31 March 2025
afUserId Expiration date 1 March 2026
af_id Expiration date 1 March 2026
AF_SYNC Expiration date 8 March 2024
_gcl_au Expiration date 14 January 2025
AnalyticsSyncHistory Expiration date 31 March 2024
_gcl_au Expiration date 14 January 2025

This group of cookies is used to show you ads of topics that you are interested in. It also lets us monitor our marketing activities, it helps to measure the performance of our ads.

Cookie name
Description
MUID Expiration date 10 November 2025
_omappvp Expiration date 28 September 2035
_omappvs Expiration date 16 October 2024
_uetsid Expiration date 17 October 2024
_uetvid Expiration date 10 November 2025
_fbp Expiration date 14 January 2025
fr Expiration date 7 December 2022
muc_ads Expiration date 16 October 2026
lang
_ttp Expiration date 10 November 2025
_tt_enable_cookie Expiration date 10 November 2025
_ttp Expiration date 10 November 2025
hubspotutk Expiration date 14 April 2025
YSC
VISITOR_INFO1_LIVE Expiration date 14 April 2025
hubspotutk Expiration date 14 April 2025
_uetsid Expiration date 17 October 2024
_uetvid Expiration date 10 November 2025
_ttp Expiration date 10 November 2025
MUID Expiration date 10 November 2025
_fbp Expiration date 14 January 2025
_tt_enable_cookie Expiration date 10 November 2025
_ttp Expiration date 10 November 2025
li_sugr Expiration date 30 May 2024
guest_id_marketing Expiration date 16 October 2026
guest_id_ads Expiration date 16 October 2026
guest_id Expiration date 16 October 2026
MSPTC Expiration date 10 November 2025
IDE Expiration date 10 November 2025
VISITOR_PRIVACY_METADATA Expiration date 14 April 2025
guest_id_marketing Expiration date 16 October 2026
guest_id_ads Expiration date 16 October 2026
guest_id Expiration date 16 October 2026
muc_ads Expiration date 16 October 2026
MSPTC Expiration date 10 November 2025
IDE Expiration date 10 November 2025

Cookies from this group store your preferences you gave while using the site, so that they will already be here when you visit the page after some time.

Cookie name
Description
personalization_id Expiration date 16 October 2026
UserMatchHistory Expiration date 8 October 2022
bcookie Expiration date 16 October 2025
lidc Expiration date 17 October 2024
lang
bscookie Expiration date 8 September 2023
li_gc Expiration date 14 April 2025
bcookie Expiration date 16 October 2025
lidc Expiration date 17 October 2024
bscookie Expiration date 1 March 2025
li_gc Expiration date 14 April 2025
personalization_id Expiration date 16 October 2026

This page uses cookies. Cookies are files stored in your browser and are used by most websites to help personalise your web experience. For more information see our Privacy Policy You can manage cookies by clicking "Settings". If you agree to our use of cookies, click "Accept all".

Change region and language
Country of residence
Language