MENU
Go to the list of all blogs
Sergey Savastiouk's Avatar
published in Blogs
Feb 13, 2021

Why ‘Head-and-Shoulders’ Patterns Form...and How to Trade Them

Technical investors will tell you that one of the pillars of investing, at least for them, is the art of finding patterns and trends in the markets and using them to trade. There was once a time when traders and analysts pored over hundreds — even thousands — of stock charts every day, looking for patterns and opportunities. Today, the process of manual search is about as useful as a VCR. Now algorithms can do all the work.

One of the most well-recognized patterns for traders is the “Head-and-Shoulders” pattern. The bearish version of it, the “Head-and-Shoulders Top,” forms when a stock is testing new highs on an uptrend, but fails to retest its highest high and break upward. Mounting selling pressure takes over each time a stock approaches its high.

You can see this formation easily in the image below. The pattern forms with a center peak (the Head, labeled 3) and the left and right Shoulders (1,5).

The Geometric Elements of a Head-and-Shoulders Top Pattern

In theory, it makes sense how a Head-and-Shoulders pattern forms. But perhaps the more interesting question is, why does it form?

The Investor Psychology Behind a Head-and-Shoulders Pattern

The theory behind a Head-and-Shoulders formation makes logical sense from a trader’s standpoint. As a security tests a new high that investors believe is the best it can reach, sell orders are placed to take profits off the table (point 1 to point 2 on the chart above). Selling pressure pushes the security back down to an attractive entry point, and fresh capital comes in — driving the price up again to an even higher high (point 2 to point 3). The process repeats itself, but eventually, investors will become convinced that the security won’t break upward. At that point, it becomes a scramble to take profits off the table at the best price possible, which causes a cascade of selling from the Shoulder (5) to the Breakout and eventually down to the Target Price.

Here’s a real-world example of how the Head-and-Shoulders Top Pattern looks. The image below was generated by Tickeron’s Artificial Intelligence, which has the capability of scanning the stock, bond, and cryptocurrency markets in search of patterns. Tickeron’s AI, called the Pattern Search Engine, can help traders find patterns and trading opportunities every day! Here a pattern was found in early December of last year:

 

To note, while the above example is an actual stock and an actual confirmed and successful head-and-shoulders pattern, it does not constitute investment advice nor is it a recommendation for the stock.

Not only does Tickeron’s AI find new patterns, but it also generates trade ideas for investors to consider — while also providing you a Target Price and a level of confidence that the target price will be reached. If you’re interested in pattern trading and don’t have the time or desire to manually scan the market in search of them, then you should be using algorithms to do the work for you. Armed with patterns, hard data and trade ideas, you can then make an informed decision on how to act.

Working the Other Way: The Head-and-Shoulders Bottom Pattern

The first example talked about the psychology of the bearish Head-and-Shoulders pattern when a security can’t quite break out to the upside. The opposite type of pattern, a “Head-and-Shoulders Bottom,” works the opposite way — a security tests lows, but investors continually see the lows as fresh buying opportunities. Eventually, if the security breaks out to the upside, investors won’t want to be left on the sidelines as the security takes off...so the buying continues.

That’s exactly what we see in the example below, which was also discovered by Tickeron’s Pattern Search Engine:

To note, while the above example is an actual stock and an actual confirmed and successful head-and-shoulders pattern, it does not constitute investment advice nor is it a recommendation for the stock.

You can clearly see the Head-and-Shoulders pattern formation, and in this case, the stock really broke out convincingly to the upside. Tickeron’s AI set a high target price for this stock, and the pattern turned out to be a success that would have generated a 30.81% gain for the trader.

Does the Security Pattern Search Engine Really Work?

Tickeron’s AI maintains statistics for all of the patterns it finds. With just a few clicks, a Tickeron user can obtain the following statistics about the Pattern Search Engine:

  • How many total Head-and-Shoulders patterns the AI has recognized

  • How many of those patterns actually reached the target price

  • The average return if the pattern was successful versus if it failed

  • The average return of all patterns recognized.

  • A list of all of the securities (including cryptocurrencies) that the AI has identified in a Head-and-Shoulders pattern over time.

The AI also has different “confidence levels” for how likely the pattern is to play out, and the user can adjust confidence levels higher or lower to obtain different statistics.

Example: For the Head-and-Shoulders Bottom (Bullish) Pattern, we ran statistics for patterns where Tickeron’s AI had at least 20% confidence the security would reach its target price, and we looked for patterns where the distance to the target price was at least 5%. Here are the statistics:

  • 33,097 Patterns found

  • 19,118 number of times the security reached its target price (57.76% of the time)

  • +11.62% — average return of successfully predicted patterns

  • -6.44% — average loss when the security did not reach its target price

Example #2: For the Head-and-Shoulders Top (Bearish) Pattern, we looked at instances where Tickeron’s AI had at least 20% confidence the security would reach its target price, but this time we looked for patterns where the distance to target price was at least 10%. Here are the statistics:

  • 11,202 Patterns found

  • 4,849 — number of times the security reached its target price (43.29% of the time)

  • +18.80% — average return of successfully predicted patterns

  • -10.86% — average loss when the security did not reach its target price

Test the Pattern Search Engine for Yourself

If you’ve never seen technology like this before, it’s because it has never been available to retail investors in this format. The idea is to provide retail investors with technology and tools to enable trading with massive amounts of data and analysis. The end result is arming retail investors with a high-powered, virtual research assistant: Tickeron’s Artificial Intelligence.

Interested in stock patterns? Identify 37 pattern types across thousands of stocks, ETFs and cryptocurrencies. Learn more here.

Related Ticker: GCAP
View a ticker or compare two or three
Ad is loading...
A.I.Advisor
published price charts
A.I. Advisor
published General Information

General Information

a provider of online foreign exchange trading services

Industry InvestmentBanksBrokers

Profile
Fundamentals
Details
Industry
Investment Banks Or Brokers
Address
Suite 11
Phone
+1.908.731.0700
Employees
676
Web
http://www.gaincapital.com
Ad is loading...
Paper wallets are extremely useful tools – beyond being one of the most popular and secure cold storage methods, they make it simple to transfer coins between owners.You can access the funds on your paper wallet by “sweeping” (or importing) them to either a live wallet (like Trezor or Exodus) or an exchange service (like Coinbase). Most services allow you to import them directly from your wallet’s private key, but there are two key exceptions.
Learn the 27 essential intraday trading rules that every manual trader should master—and discover how Tickeron’s AI platform applies them automatically for consistent, emotion-free execution and smarter, real-time decision-making.
#investment#trading
A $2 trillion sell-off has investors asking: is 2025 the next dot-com crash or a replay of the 2008 recession? This deep dive compares both scenarios, outlines warning signs, and reveals how AI-powered trading strategies can help navigate rising volatility.
#trading#investment
New to trading? Discover 21 powerful lessons every beginner must learn—and see how Tickeron’s AI Double Agent strategies apply them in real time. From mastering risk to managing emotions, this guide helps you trade smarter, safer, and more confidently.
#investment#trading
From the railroads of the 1920s to the AI giants of 2025, market history shows that extreme concentration often precedes massive bubbles and crashes. This article explores five key turning points and how Tickeron’s AI helps traders navigate today’s bubble-prone landscape.
#investment#trading
U.S. tariff tensions rocked markets this week, sending tech stocks into retreat and safe-haven assets like gold and the yen soaring. As investors brace for major earnings and global policy shifts, volatility remains high across equities, currencies, and commodities.
#investment#trading
Tesla’s Q1 2025 earnings could surprise investors as the EV giant looks to rebound from last quarter’s miss. With lowered expectations and increased volatility, Tickeron’s AI-powered strategy helps traders navigate both upside potential and downside risk.
#investment#trading
Gold is on a historic run—up 29% YTD with record-breaking inflows and growing macro tailwinds. Discover why smart investors are eyeing gold, silver, and miners for opportunity, and how AI trading tools are unlocking new ways to profit from the 2025 gold rush.
#investment#trading
Tickeron launches its innovative Double Agent Trading Bot, combining long NVDA trades with hedged NVDS positions. Using AI-driven pattern trading and real-time risk management, the bot achieves a 75% success rate, revolutionizing automated trading strategies.
#trading#investment
Tickeron’s AI trading bots are setting new standards in finance, achieving up to 86.6% win rates across leveraged and sector ETFs. Powered by advanced Financial Learning Models (FLMs), Tickeron’s AI delivers precision, adaptability, and real-time trading success.
#trading
Wall Street expects strong profit growth from the Magnificent Seven tech giants in 2025. Discover how to trade Apple, Microsoft, Amazon, Nvidia, Tesla, Meta, and Alphabet using AI-powered Double Agent strategies and smart hedging with inverse ETFs like QID.
On May 2, 2025, a diverse group of companies across energy, financial services, basic materials, consumer discretionary, and healthcare will release their Q1 2025 earnings.
In April 2025, five tech giants—NVIDIA, Tesla, Meta, Palantir, and Amazon—each surged over 40%, driven by AI breakthroughs, strong earnings, and market momentum. Discover what fueled the rally and how Tickeron’s AI trading bots helped investors outperform even these star stocks.
#investment
Markets ended April with mixed signals—gold slid on trade optimism, Big Tech lifted the Nasdaq, and Bitcoin steadied near $94K. With U.S. GDP contracting and job growth beating forecasts, investors brace for more volatility amid tariffs and central bank moves.
In a turbulent market, Tickeron's AI-powered Double Agent Bot is outperforming traditional strategies. Leveraging real-time intraday signals and inverse ETFs, the bot posted a +9.77% quarterly gain while the S&P 500 dropped 9.28%. Here's how AI is reshaping trading.
#trading
As Warren Buffett announces his retirement, investors turn to his trusted Buffett Indicator—a ratio of market cap to GDP—as a key gauge of market valuation.
#investment
Markets move in repeating cycles—Accumulation, Uptrend, Distribution, and Downtrend. Learn how to recognize each phase and deploy Tickeron’s AI-powered Double Agent strategy to adapt, protect capital, and profit in any market condition.
#trading
Discover how confirmation trading techniques—like moving average crossovers and volume-backed breakouts—can improve accuracy and reduce false signals. Learn how Tickeron’s AI automates these strategies for smarter, faster, and more disciplined trading.
#trading
Hedge funds are ramping up bearish bets on small-cap stocks, with Russell 2000 short interest hitting new highs. As macro headwinds mount and technical support teeters, Tickeron’s AI Double Agents step in to navigate the looming sell-off with precision.
#investment#trading#artificial_intelligence
SPY’s Momentum Indicator turned bullish on April 25, 2025, signaling a potential trend shift with a 90% historical success rate. This article explores how economic scarcity, technical signals, and AI-driven tools like Tickeron’s A.I.dvisor shape investor decisions in volatile markets.
#trading