Go to the list of all blogs
Sergey Savastiouk's Avatar
published in Blogs
Mar 15, 2023

Technical Analysis Actually Works and How to Use It

Traders primarily rely on technical analysis rather than stock reports and financial statements to make their trading decisions. Technical analysis involves visually identifying patterns in performance graphs, similar to how musicians visualize a song through notes. In this article, we'll explore the mechanics and effectiveness of technical analysis.

However, before delving into the intricacies of technical analysis patterns, it's essential to understand what traders look for. Technical traders monitor price movements to detect trends and momentum. A brief spike or decline in prices alone isn't enough to warrant a trade. It's better to observe the stock for an extended period or conduct a look-back analysis to identify patterns.

Rather than relying on a single price movement, traders analyze moving averages. Two types of moving averages exist: simple and exponential. Simple moving averages use a standard average equation, while exponential moving averages place more weight on recent prices.

To read more on this click here

Understanding Resistance and Support Levels

In technical analysis, there is a concept called the "level of resistance," which can be likened to an imaginary glass ceiling that a stock price cannot seem to surpass. During a bull market, resistance levels tend to increase, while in a bear market, they tend to decrease. While this isn't always a hard and fast rule, it's an essential principle to keep in mind when entering into trading.

Sir Isaac Newton's third law, which states that "For every action, there is an equal and opposite reaction," may not have been explicitly about trading, but it does highlight one of the fundamental principles of technical analysis that we'll discuss further below. If there's a resistance barrier that functions as a ceiling, there must also be a support barrier that prevents the stock from falling too low.

Resistance and support levels are easily recognizable in technical analysis. By examining any performance graph over a period of time, you can observe peaks and valleys. The highs represent the resistance level, and the lows represent support. Entering into trades in this territory without technical evidence makes it a high-risk venture.

However, it's worth noting that glass ceilings can be broken, and floors often have trap doors. If technical analysis were that simple, everyone would do it, and no one would profit. Thus, it's important to understand resistance and support levels as concepts, not constants. Successful traders are those who can predict when resistance levels will be broken. To do so, you'll need to know more.

Using Bollinger Bands as Trade Indicators

Traders don't necessarily need a finance degree to succeed in trading, nor are there any licensing or SEC guidelines to adhere to. However, having a good understanding of key terminology is essential. In addition to moving averages and levels of resistance, it's also crucial to grasp the concepts of "Bollinger Bands" and "Standard Deviation," both of which are fundamental elements of technical analysis.

A Bollinger Band is the area between two lines on a pricing graph. The first line is drawn across the peaks of the graph, while the second line is drawn across the valleys or lows. These bands are used to determine the probable range within which a security is likely to trade, typically two standard deviations from the moving average. The visual representation of this is shown below:

Bollinger Bands can help traders determine whether a stock is overbought or oversold. When the price hits or surpasses the upper level of the Bollinger Band, it may be a signal to sell, while touches of the lower level could indicate a good time to buy. While this approach isn't foolproof, using this knowledge can increase the odds of successful trading.

Understanding the basics of Bollinger Bands is an essential first step in comprehending technical indicators. For more advanced training on technical indicators, you can explore Tickeron's article database on the subject. Here, you can find various techniques for using moving averages, analyzing cash flows, and even applying Fibonacci numbers and the Golden Mean to your trading strategies.

Reading and Analyzing Chart Patterns

Now that you've grasped the fundamentals, it's time to delve into the essence of technical analysis. While chart patterns may appear to be simply lines on a graph to the average person, traders perceive them as indicators of investor behavior, corporate growth, and potential success or failure. Your primary objective going forward should be to learn how to interpret chart patterns.

Chart patterns can be thought of as shapes, including but not limited to cups and handles, triple bottoms, flags, pennants, and head and shoulders. These shapes are easily recognizable and we will devote the next few sections to explaining their meanings in detail. Additionally, we'll discuss trading models and how to identify the one that best suits your needs.

Behavioral Psychology of the Cup and Handle

The "Cup and Handle" is a popular chart pattern that often appears during bullish markets. Following a peak in price, investors tend to sell off some of their holdings, leading to a price decline. Once the price hits a certain level, investors buy back in, causing the price to rise once again. When graphed, this pattern resembles a cup shape with a handle. Here is an example:

After the price peaks, the handle formation occurs. Investors may take some profits but are likely to reinvest quickly in an attempt to capture a breakout over the upper resistance level. This can cause the price to surge even higher as more investors join in, afraid of missing out on potential gains. Additionally, those who have short bets may become anxious at this point, further fueling the uptrend momentum.

Identifying the cup and handle pattern and pinpointing where the handle begins to form presents a promising trading opportunity. It does not require an in-depth analysis of the company's financials since the pattern is easily recognizable. Previous "cups" in the data can provide evidence of a clear growth pattern. Entering the market at point #4 in the pattern should yield a favorable return.

The Predictability of Triple Bottoms

The "triple bottom" chart pattern is a highly reliable trading pattern that typically appears during a bull market. It is characterized by three consecutive touch points on the Bollinger band, indicating a strong support level. This can be a positive sign of a healthy financial outlook for the company and/or a committed investor base that is selling and reinvesting in a timely fashion.

As a trader, identifying the bottom point of a stock's price is a crucial signal for determining when to enter a position. Typically, after the third bottom, there is a high probability of an uptrend and a breakout above the resistance level. To maximize returns, it is advisable to buy at the start of the uptrend and set a stop-loss just below or at the breakout price. This pattern presents a favorable opportunity for generating profit with relative ease.

Reading Flags and Pennants

Flags and pennants are formed when prices consolidate and move within a narrow range. During an uptrend or bull market, we call this pattern a flag, and during a downtrend, it's known as a pennant. These patterns serve as indicators that a stock price is likely to move in one direction or the other. Flags are generally considered a buy signal, while pennants are often seen as a signal to sell. Additionally, there are a variety of options strategies that traders can employ in these scenarios.

Head and Shoulders for Bears and Bulls

The chart pattern known as the "head and shoulders" can be observed in both bear and bull markets. In the following image, we depict this pattern in a bullish scenario. Initially, investors purchase during the first low point (shoulder) and subsequently sell when prices reach the neckline. When the price seems to be bottoming out at the head, buying activity resumes. This cycle repeats until prices reach the neckline once again.

Usually, in this pattern, the next downtrend will halt at the second shoulder, and the subsequent uptrend should mark the point where the price surpasses the neckline. However, in the bearish version of this scenario, the head and shoulders are positioned above the neckline, resulting in a downtrend after the second shoulder. As these patterns may appear similar, it is essential to exercise caution.

Select the Right Trading Model

It should be apparent that technical analysis is effective. However, to benefit from it, you must have a thorough comprehension of it and select a trading model that aligns with your personality and financial objectives. It's crucial to understand specific chart patterns and technical indicators required for each trading model, so avoid entering the market blindly. To assist you in this regard, Tickeron provides various recommendations in the "Educational Courses" section of our application.

Unlike investing, stock trading is a mathematical science and not influenced by emotional, sociological, or political triggers. Trading models are strategies for implementing technical analysis in a market that is impeded by emotional inefficiencies. When embarking on this journey, one must leave emotions at the door.

The "random walk hypothesis" is a trading model that believes no technical analysis can consistently beat the market over time. In contrast, the "divergence analysis" model, which is primarily based on technical analysis, incorporates fundamental analysis to track the convergence and divergence between indexes.

Intraday trading, which involves buying and selling positions within a single day, relies heavily on technical analysis. It is also the most exciting and lucrative form of stock trading. If this article has improved your understanding of how to use technical analysis, your chances of success in intraday trading will be significantly higher.

Tikeron's Products

The main idea behind technical analysis is the ability to find recurring price patterns and trends and use them to predict the direction of future market trends. We started with the creation of AI-based Engines (Pattern Search Engine, Real-Time Patterns, Trend Prediction Engine) that allow us to effectively analyze market trends.  We then have explored almost all existing methods (price patterns, trend indicators, oscillators, and many others) using neural networks and deep historical backtests. As a result, it was possible to form a pool of trading algorithms that together allow our AI Robots to effectively determine the key points of change in market trends.

Ad is loading...
In July, Apple (NASDAQ: AAPL) made history as the first company to close regular-session trading with a market capitalization exceeding $3.5 trillion. Despite early session declines, Apple stock reached an all-time high of $229.40 and closed at $228.68.
Swing trading involves holding positions for several days to weeks to capture gains from market movements that unfold over a medium-term horizon. This strategy relies on technical analysis to identify potential entry and exit points, often supplemented by fundamental analysis to strengthen trade decisions.
The cleaning sector has exhibited a notable performance increase, experiencing a +4.71% rise over the past week. This performance surge reflects positive market sentiment and possibly increasing demand within the sector.
The immuno-oncology sector, comprising companies that develop advanced technologies for cancer treatment, has shown promising performance recently. This sector's innovation and critical role in advancing cancer treatments have led to a significant market response, reflected in a notable +8.04% increase in performance over the past week. Below is an analysis of the key players in this group—Corvus Pharmaceuticals (CRVS), AnaptysBio (ANAB), and iTeos Therapeutics (ITOS)—focusing on market capitalization, price movements, volume changes, and technical indicators.
U.S. stocks took a hit as tech shares dropped and the yen strengthened, leading to a 1,033-point drop in the Dow. With growing concerns over the Fed's rate policy, analysts now predict multiple rate cuts to address rising economic risks.
The technology sector remains a dynamic space for investors, with certain themes like portable devices showing substantial growth potential. Over the past week, the portable devices theme has seen an impressive performance with a +14.86% increase, highlighting the strength and resilience of companies operating within this sector. In this article, we will explore key metrics such as market capitalization, price trends, and volume growth, while also taking a closer look at the individual performances of companies within this theme, particularly focusing on Apple Inc. (AAPL), CEVA Inc. (CEVA), and Generac Holdings Inc. (GNRC).
The performance of companies in the fish-selling category has attracted significant attention recently, primarily due to the group's impressive +19.69% increase in performance over the past week. The 'fish' category, which includes companies that sell or produce fish, often overlaps with firms involved in poultry, frozen meat, and dairy products. Notable companies in this sector include Lifeway Foods, Inc. (LWAY), Sanderson Farms, Inc., and Hormel Foods Corp. (HRL). In this article, we will explore the market dynamics, price movements, and volume changes affecting this sector, with a focus on the group of tickers HRL, LWAY, BRFS, and PPC.
Two standout models are at the core of Tickeron's new bots (robots). Identifying and acting on price drops ("search for dips") and leveraging significant volatility spikes.
Tickeron has introduced advanced AI trading bots designed for day traders, utilizing Financial Learning Models (FLMs) and technical analysis to optimize strategies in high-volatility markets. These bots are engineered to capitalize on price surges and provide precise, short-term trading opportunities.
The railroads sector has recently demonstrated impressive performance, with a notable +19.69% increase in performance over the past week. This surge underlines the sector's critical role in freight and passenger transportation across North America, providing essential infrastructure for both national and international trade logistics. This article delves into the sector's key players, their market performance, and recent trends that are shaping the future of rail transport.
The uranium sector has been gaining notable attention recently, with a sharp uptick in performance. As of last week, uranium companies have seen a significant increase in performance by +10.69%. This surge brings renewed focus to uranium, a critical element used in nuclear power generation. With nuclear energy gaining traction as a cleaner alternative, companies engaged in uranium acquisition, exploration, and development are well-positioned to capitalize on this demand.
Amazon (AMZN) saw a $54B market cap increase this week, driven by a 2.74% stock price surge. Despite the short-term volatility indicated by breaking its upper Bollinger Band, the company's strong positioning in AI and cloud computing continues to attract investor interest.
The financial markets saw a mix of gains and declining volatility between September 23-27, with key indexes like SPY, QQQ, and DIA posting positive returns. Despite rising stocks, volatility measures dropped, reflecting reduced market uncertainty. This article explores market trends and highlights AI-driven trading robots designed to capitalize on opportunities while managing risk.
Tickeron's AI-powered Trend Trading bots are revolutionizing stock investing by integrating Financial Learning Models (FLMs) to help hedge fund managers and traders uncover undervalued stocks. These bots provide actionable signals, apply advanced risk management strategies, and support disciplined growth, empowering investors to navigate complex financial markets with ease.
The aluminum construction companies have experienced a significant boost, with the segment seeing a +11.13% increase in performance over the past week. This growth is largely driven by the rising demand for lightweight materials, particularly in the automotive sector, where aluminum is being widely adopted to improve fuel efficiency. The aluminum industry plays a vital role in the U.S. economy, generating approximately $71 billion annually in direct economic impact, according to The Aluminum Association.
Unlock the potential of AI-powered swing trading with robots designed to track dips in top S&P 500 stocks. Whether you're a beginner or experienced trader, these tools help manage up to $20k per position, balancing risk and reward with advanced algorithms and market insights. Discover how to maximize returns in volatile markets!
Discover Tickeron's new AI-driven trading bots designed for high-volatility markets and impulse price action. Leveraging Financial Learning Models (FLMs) and technical analysis, these bots optimize trades, offer a 70% win rate, and execute strategies for day traders focused on fast market moves.
The Diesel Companies segment has displayed a notable increase of +9.44% in performance over the past week. This uptick highlights a positive trend in the sector, encompassing companies involved in the manufacturing of diesel vehicles and the distribution of transportation fuels.
Tickeron launches AI-powered Stock Picker robots to assist hedge fund managers with sector rotation, growth-focused small-cap stocks, and strategic risk management. Using proprietary FLMs, Stock Pickers offer quant-driven signals and adaptive strategies for long-term growth and investment
Tickeron unveils an intuitive AI trading bot interface, offering tailored strategies for day, swing, and trend traders. From beginners to pros, discover tools designed to optimize trading precision, adapt to market volatility, and provide hedge fund-level insights for smarter investments.