Technical indicators are used by traders to gain insight into the supply and demand of securities and market psychology. Together, these indicators form the basis of technical analysis. Metrics, such as trading volume, provide clues as to whether a price move will continue. In this way, indicators can be used to generate buy and sell signals.

Seven of the best indicators for day trading are:

• On-balance volume (OBV)
• Accumulation/distribution line
• Average directional index
• Aroon oscillator
• Moving average convergence divergence (MACD)
• Relative strength index (RSI)
• Stochastic oscillator

You don’t need to use all of them, rather pick a few that you find helpful in making better trading decisions. Learn more about how these indicators work and how they can help you day trade successfully.

Tools of the Trade

The tools of the trade for day traders and technical analysts consist of charting tools that generate signals to buy or sell, or which indicate trends or patterns in the market. Broadly speaking, there are two basic types of technical indicators:

1. Overlays: Technical indicators that use the same scale as prices are plotted over the top of the prices on a stock chart. Examples include moving averages and Bollinger Bands® or Fibonacci lines.
2. Oscillators: Rather than being overlaid on a price chart, technical indicators that oscillate between a local minimum and maximum are plotted above or below a price chart. Examples include the stochastic oscillator, MACD, or RSI. It will mainly be these second kind of technical indicators that we consider in this article.

Traders often use several different technical indicators in tandem when analyzing a security. With literally thousands of different options, traders must choose the indicators that work best for them and familiarize themselves with how they work. Traders may also combine technical indicators with more subjective forms of technical analysis, such as looking at chart patterns, to come up with trade ideas. Technical indicators can also be incorporated into automated trading systems given their quantitative nature.

1. On-Balance Volume

First up, use the on-balance volume indicator (OBV) to measure the positive and negative flow of volume in a security over time.

The indicator is a running total of up volume minus down volume. Up volume is how much volume there is on a day when the price rallied. Down volume is the volume on a day when the price falls. Each day volume is added or subtracted from the indicator based on whether the price went higher or lower.

When OBV is rising, it shows that buyers are willing to step in and push the price higher. When OBV is falling, the selling volume is outpacing buying volume, which indicates lower prices. In this way, it acts like a trend confirmation tool. If price and OBV are rising, that helps indicate a continuation of the trend.

Traders who use OBV also watch for divergence. This occurs when the indicator and price are going in different directions. If the price is rising but OBV is falling, that could indicate that the trend is not backed by strong buyers and could soon reverse.

2. Accumulation/Distribution Line

One of the most commonly used indicators to determine the money flow in and out of a security is the accumulation/distribution line (A/D line).

It is similar to the on-balance volume indicator (OBV), but instead of considering only the closing price of the security for the period, it also takes into account the trading range for the period and where the close is in relation to that range. If a stock finishes near its high, the indicator gives volume more weight than if it closes near the midpoint of its range. The different calculations mean that OBV will work better in some cases and A/D will work better in others.

If the indicator line is trending up, it shows buying interest, since the stock is closing above the halfway point of the range. This helps confirm an uptrend. On the other hand, if A/D is falling, that means the price is finishing in the lower portion of its daily range, and thus volume is considered negative. This helps confirm a downtrend. 

Traders using the A/D line also watch for divergence. If the A/D starts falling while the price is rising, this signals that the trend is in trouble and could reverse. Similarly, if the price is trending lower and A/D starts rising, that could signal higher prices to come.

3. Average Directional Index

The average directional index (ADX) is a trend indicator used to measure the strength and momentum of a trend. When the ADX is above 40, the trend is considered to have a lot of directional strength, either up or down, depending on the direction the price is moving.

When the ADX indicator is below 20, the trend is considered to be weak or non-trending.

The ADX is the main line on the indicator, usually colored black. There are two additional lines that can be optionally shown. These are DI+ and DI-. These lines are often colored red and green, respectively. All three lines work together to show the direction of the trend as well as the momentum of the trend.

• ADX above 20 and DI+ above DI-: That’s an uptrend.
• ADX above 20 and DI- above DI+: That’s a downtrend.
• ADX below 20 is a weak trend or ranging period, often associated with the DI- and DI+ rapidly crisscrossing each other.

4. Aroon Indicator

The Aroon oscillator is a technical indicator used to measure whether a security is in a trend, and more specifically if the price is hitting new highs or lows over the calculation period (typically 25).

The indicator can also be used to identify when a new trend is set to begin. The Aroon indicator comprises two lines: an Aroon Up line and an Aroon Down line.

When the Aroon Up crosses above the Aroon Down, that is the first sign of a possible trend change. If the Aroon Up hits 100 and stays relatively close to that level while the Aroon Down stays near zero, that is positive confirmation of an uptrend.

The reverse is also true. If Aroon Down crosses above Aroon Up and stays near 100, this indicates that the downtrend is in force.

5. MACD

The moving average convergence divergence (MACD) indicator helps traders see the trend direction, as well as the momentum of that trend. It also provides a number of trade signals.

When the MACD is above zero, the price is in an upward phase. If the MACD is below zero, it has entered a bearish period.

The indicator is composed of two lines: the MACD line and a signal line, which moves slower. When MACD crosses below the signal line, it indicates that the price is falling. When the MACD line crosses above the signal line, the price is rising. 

Looking at which side of zero the indicator is on aids in determining which signals to follow. For example, if the indicator is above zero, watch for the MACD to cross above the signal line to buy. If the MACD is below zero, the MACD crossing below the signal line may provide the signal for a possible short trade.

6. Relative Strength Index

The relative strength index (RSI) has at least three major uses. The indicator moves between zero and 100, plotting recent price gains versus recent price losses. The RSI levels therefore help in gauging momentum and trend strength. 

The most basic use of an RSI is as an overbought and oversold indicator. When RSI moves above 70, the asset is considered overbought and could decline. When the RSI is below 30, the asset is oversold and could rally. However, making this assumption is dangerous; therefore, some traders wait for the indicator to rise above 70 and then drop below before selling, or drop below 30 and then rise back above before buying. 

Divergence is another use of the RSI. When the indicator is moving in a different direction than the price, it shows that the current price trend is weakening and could soon reverse.

A third use for the RSI is support and resistance levels. During uptrends, a stock will often hold above the 30 level and frequently reach 70 or above. When a stock is in a downtrend, the RSI will typically hold below 70 and frequently reach 30 or below.

7. Stochastic Oscillator

The stochastic oscillator is an indicator that measures the current price relative to the price range over a number of periods. Plotted between zero and 100, the idea is that, when the trend is up, the price should be making new highs. In a downtrend, the price tends to make new lows. The stochastic tracks whether this is happening.

The stochastic moves up and down relatively quickly as it is rare for the price to make continual highs, keeping the stochastic near 100, or continual lows, keeping the stochastic near zero. Therefore, the stochastic is often used as an overbought and oversold indicator. Values above 80 are considered overbought, while levels below 20 are considered oversold.

Consider the overall price trend when using overbought and oversold levels. For example, during an uptrend, when the indicator drops below 20 and rises back above it, that is a possible buy signal. But rallies above 80 are less consequential because we expect to see the indicator to move to 80 and above regularly during an uptrend. During a downtrend, look for the indicator to move above 80 and then drop back below to signal a possible short trade. The 20 level is less significant in a downtrend.

The Bottom Line

The goal of every short-term trader is to determine the direction of a given asset’s momentum and to attempt to profit from it. There have been hundreds of technical indicators and oscillators developed for this specific purpose, and this article has provided a handful that you can start trying out. Use the indicators to develop new strategies or consider incorporating them into your current strategies. To determine which ones to use, try them out in a demo account. Pick the ones you like the most, and leave the rest.

The McGinley Dynamic is a little-known yet highly reliable indicator invented by John R. McGinley, a chartered market technician and former editor of the Market Technicians Association’s Journal of Technical Analysis. Working within the context of moving averages throughout the 1990s, McGinley sought to invent a responsive indicator that would automatically adjust itself in relation to the speed of the market.

His eponymous Dynamic, first published in the Journal of Technical Analysis in 1997, is a 10-day simple and exponential moving average with a filter that smooths the data to avoid whipsaws.

Simple Moving Average (SMA) vs. Exponential Moving Average (EMA)

A simple moving average (SMA) smooths out price action by calculating past closing prices and dividing by the number of periods. To calculate a 10-day simple moving average, add the closing prices of the last 10 days and divide by 10. The smoother the moving average, the slower it reacts to prices.

A 50-day moving average moves slower than a 10-day moving average. A 10- and 20-day moving average can at times experience the volatility of prices that can make it harder to interpret price action. False signals may occur during these periods, creating losses because prices may get too far ahead of the market.

An exponential moving average (EMA) responds to prices much more quickly than a simple moving average. This is because the EMA gives more weight to the latest data rather than older data. It’s a good indicator for the short term and a great method to catch short-term trends, which is why traders use both simple and exponential moving averages simultaneously for entry and exits. Nevertheless, it too can leave data behind.

The Problem With Moving Averages

In his research, McGinley found moving averages had many problems. In the first place, they were inappropriately applied. Moving averages in different periods operate with varying degrees in different markets. For example, how can one know when to use a 10-day, 20-day, or 50-day moving average in a fast or slow market? In order to solve the problem of choosing the right length of the moving average, the McGinley Dynamic was built to automatically adjust to the current speed of the market.

McGinley believes moving averages should only be used as a smoothing mechanism rather than a trading system or signal generator. It is a monitor of trends. Further, McGinley found moving averages failed to follow prices since large separations frequently exist between prices and moving average lines. He sought to eliminate these problems by inventing an indicator that would hug prices more closely, avoid price separation and whipsaws, and follow prices automatically in fast or slow markets.

McGinley Dynamic Formula

This he did with the invention of the McGinley Dynamic. The formula is:

$\begin{aligned} &\text{MD}_i = MD_{i-1} + \frac{ \text{Close} – MD_{i-1} }{ k \times N \times \left ( \frac{ \text{Close} }{ MD_{i-1} } \right )^4 } \\ &\textbf{where:}\\ &\text{MD}_i = \text{Current McGinley Dynamic} \\ &MD_{i-1} = \text{Previous McGinley Dynamic} \\ &\text{Close} = \text{Closing price} \\ &k = .6\ \text{(Constant 60\% of selected period N)} \\ &N = \text{Moving average period} \\ \end{aligned}$​MDi​=MDi−1​+k×N×(MDi−1​Close​)4Close−MDi−1​​where:MDi​=Current McGinley DynamicMDi−1​=Previous McGinley DynamicClose=Closing pricek=.6 (Constant 60% of selected period N)N=Moving average period​

The McGinley Dynamic looks like a moving average line, yet it is actually a smoothing mechanism for prices that turns out to track far better than any moving average. It minimizes price separation, price whipsaws, and hugs prices much more closely. And it does this automatically as a factor of its formula.

Because of the calculation, the Dynamic Line speeds up in down markets as it follows prices yet moves more slowly in up markets. One wants to be quick to sell in a down market, yet ride an up-market as long as possible. The constant N determines how closely the Dynamic tracks the index or stock. If one is emulating a 20-day moving average, for instance, use an N value half that of the moving average, or in this case 10.

It greatly avoids whipsaws because the Dynamic Line automatically follows and stays aligned to prices in any market—fast or slow—like a steering mechanism of a car that can adjust to the changing conditions of the road. Traders can rely on it to make decisions and time entrances and exits.

The Bottom Line

McGinley invented the Dynamic to act as a market tool rather than as a trading indicator. But whatever it’s used for, whether it is called a tool or indicator, the McGinley Dynamic is quite a fascinating instrument invented by a market technician that has followed and studied markets and indicators for nearly 40 years. In creating the Dynamic, McGinley sought to create a technical aid that would be more responsive to the raw data than simple or exponential moving averages.

Some traders and investors denounce technical analysis (TA) as a superficial study of charts and patterns without any concrete, conclusive or profitable results. Others believe it is a sort of Holy Grail that once mastered will unleash sizable profits. These opposing viewpoints have led to misconceptions about technical analysis and how it is used.  

Technical analysis tries to capture market psychology and sentiment by analyzing price trends and chart patterns for possible trading opportunities. Contrary to fundamental analysis, technical analysts do not necessarily care much about the companies behind the stocks they trade or their profitability.

Some misconceptions about technical analysis are based on education and training. For example, a trader trained in using only fundamentals may not trust technical analysis at all. But that doesn’t mean someone who is trained in technical analysis can’t use it profitably.

Other TA assumptions are based on bad experiences. For example, the incorrect use of technical indicators often leads to losses. That doesn’t mean the method is necessarily wrong; possibly the person just needs more practice and training. The negative sentiment can be perpetuated by unscrupulous marketing, promising overnight riches if a simple TA indicator is bought and used. It rarely is that easy.

Here are eight common technical analysis myths—and why they simply aren’t true. 

1. Technical Analysis Is Only for Short-Term Trading or Day Trading

It is a common myth that technical analysis is only appropriate for short-term and computer-driven trading like day trading and high-frequency trades. Technical analysis existed and was practiced before computers were common, and some of the pioneers in technical analysis were long-term investors and traders, not day traders. Technical analysis is used by traders on all time frames, from one-minute charts to weekly and monthly charts.

2. Only Individual Traders Use Technical Analysis 

While individuals do use technical analysis, hedge funds and investment banks make ample use of technical analysis as well. Investment banks have dedicated trading teams that use technical analysis. High-frequency trading, which encompasses a significant amount of the trading volume on the stock exchanges, is heavily dependent on technical concepts. 

3. Technical Analysis Has a Low Success Rate

A look at the list of successful market traders, who have decades of trading experience, debunks this myth. Successful trader interviews have cited significant numbers of traders who owe their success to technical analysis and patterns. For example, Market Wizards: Interviews With Top Traders (Wiley, 2012) by Jack D. Schwager features interviews with many professionals who’ve profited solely by using technical analysis.

4. Technical Analysis Is Quick and Easy 

The internet is full of technical analysis courses that promise trading success. Though many individuals enter the trading world by placing their first trade based on simple technical indicators, continued success in trading requires in-depth learning, practice, good money management, and discipline. It requires dedicated time, knowledge, and attention. Technical analysis is only a tool, only one piece of the puzzle.

5. Ready-Made Technical Analysis Software Can Help Traders Make Easy Money 

Unfortunately, this is not true. There are many online ads for cheap and costly software that claims to do all your analysis for you. In addition, less-experienced traders sometimes confuse technical analysis tools in broker-provided trading software for trading models that will guarantee profit. Though technical analysis software provides insights about trends and patterns, it doesn’t necessarily guarantee profits. It’s up to the trader to correctly interpret trends and data.

6. Technical Indicators Can Be Applied Across All Markets

While technical analysis can be applied to many markets, specific asset classes have specific requirements. Equities, futures, options, commodities, and bonds all have differences. There may be time-dependent patterns like high volatility in futures and options nearing expiry, or seasonal patterns in commodities. Don’t make the mistake of applying technical indicators intended for one asset class to another.

7. Technical Analysis Can Provide Precise Price Predictions 

Many novices expect recommendations from technical analysts or software patterns to be 100% precise. For example, inexperienced traders may expect a prediction as specific as, “stock ABC will reach $62 in two months.” However, experienced technical analysts usually avoid quoting prices so specifically. Rather they tend to quote a range such as, “stock A could move in the range of $59 to $64 in the next two to three months.”

Traders betting their money on technical recommendations should be aware that technical analysis provides a predictive range, not an exact number. Technical analysis is also about probability and likelihoods, not guarantees. If something works more often than not, even though it doesn’t work all the time, it can still be very effective at generating profits.

8. The Winning Rate in Technical Analysis Should Be Higher

It’s a common myth that a high percentage of winning trades is needed for profitability. However, that is not always the case. Assume Peter makes four winning trades out of five, while Molly makes one winning trade out of five. Who is more successful? Most people would say Peter, but we don’t actually know until we get more information. Profitability is a combination of win rate and risk/reward. If Peter makes $20 on his winners but is down $80 from his one loss, he ends up with $0. If Molly makes $50 on her win and losses $10 on her losses, she walks away with $10. She is better off, even with fewer wins. Proper trade structuring allows for profitability even with few winners

The Bottom Line

Technical analysis provides a large basket of tools and concepts for trading. There are successful traders who don’t use it, and there are successful traders who do. Some believe technical analysis is the best way to trade, while others claim it is misguided and lacks a theoretical basis.

Ultimately, it is up to each trader to explore technical analysis and determine if it is right for them. It doesn’t guarantee instant profits or 100% accuracy, but for those who diligently practice the concepts, it does provide a realistic possibility of trading success.