Market indicators are quantitative tools for the analysis of market information, which may hint or confirm that a trend or reversal is about to happen (leading indicator) or has begun (lagging indicator). Indicators are technical analysis algorithms which give investors signals that may be used as the guidelines for trading. Indicators might be called oscillators or have various other proper names, since some of them are quite well-known, but there are general conventions or instructions for how to use an indicator, how it can be tweaked to suit the scope of your analysis, and what is considered a trade signal. Continue reading...
Technical Indicators are charting tools that appear as lines on charts, or as other kinds of graphical information, which serve as guidelines for buying and selling opportunities. They are based on mathematical formulas, and may be called oscillators, trading bands, and signal lines, among other things. Technical analysts use information about price, volume, standard deviation, and other metrics to construct systems for trading using mathematical formulas which can be translated into useful charting tools. The systems can bring discipline to a trader’s strategy by providing clearly defined circumstances in which a trader has reason to buy, sell, hold, and so on. Continue reading...
Leading indicators are economic or price data which have some degree of correlation with a movement in the market or a stock price. Leading indicators tend to happen before the market or price movement occurs. Traders and economists use leading indicators frequently to prepare for what’s next; they are based on theory as well as empirical historical evidence but like all indicators, they do not have a 100% accuracy rate – past performance does not guarantee future results. Continue reading...
Technical indicators include moving average lines, trading bands, oscillators, and formations (found here), often presented in combinations. Popular indicators carry proper names. There are thousands of technical indicators, but the most popular ones are the MACD, Bollinger Bands, Stochastic Oscillators, the Directional Movement Indicator and various patterns of price behavior, such as “Head and Shoulder” formations. Continue reading...
A momentum indicator allows for a quick comparison of a security’s current price relative to its past prices using a flexible time period, allowing traders to decide the parameters. The formula to calculate momentum is M = V – Vx (where V is the current price and Vx is the closing price from x number of days ago). A current price in excess of past price is a positive momentum indicator; a lower current price represents negative momentum. Continue reading...
Moving averages are important components of many technical indicators. The Endpoint Moving Average (EPMA) is a popular method of plotting a line that uses linear regression instead of averages, which reduces the noise of market price activity and can reveal or follow trends. Compared to a simple moving average, this method hews more closely to data and lags less. A moving average line averages prices in a given time period (such as the 30 days leading up to each day), and plots that point on a chart; when connected, the collection of points becomes the moving average line. Continue reading...
Large Cap mutual funds primarily invest in companies with the highest market capitalizations. Large capitalization mutual funds, also called “large cap funds,” invest primarily in large companies with market capitalization of over $10 billion. Some examples include Microsoft, General Electric, Google, and other well-known companies. Some large cap mutual funds invest in all of the companies in an index (therefore closely following the performance of that index), and some pick and choose which large companies to select in an attempt to outperform the index. For more information about indices, see “What is Index Investing?” Continue reading...
The Rising Flag (or Bullish Flag) pattern looks like a flag with a mast. It forms when rising prices experience a consolidation period, and the price moves within a narrow range defined by the parallel lines through points (2, 4) and (3, 5). After the consolidation, the previous trend resumes. This type of formation happens when the price of a security is expected to move in a rising trend line, but some volatility along the way creates a consolidation period. Continue reading...
The Falling Flag (or Bearish Flag) pattern looks like a flag with the mast turned upside down (the mast points up). The pattern forms when falling prices experience a consolidation period, and the price moves within a narrow range defined by the parallel lines through points 2-4 and 3-5. After the consolidation, the previous trend resumes. This type of formation happens when anticipation of a downtrend is high, and when a security’s price consolidates during a broader decline. It may indicate growing investor concern of an impending downtrend. Continue reading...
Richard Arms invented the analysis tool that bears his name in 1967. The Arms Index, a technical analysis indicator, is also called the TRIN (short for “Trading Index”) because it seeks to indicate overbought or oversold conditions by serving as an index of trading activity relative to price. The Arms index is calculated using readily available data from major indexes such as the S&P 500 or NASDAQ. The ratio of the number of advancing stocks (stocks whose prices are increasing) to the number of declining stocks (stocks whose prices are decreasing) is computed to give us the A/D Ratio, a market breadth indicator that is one way of viewing the daily breadth of a security. The Advance/Decline Ratio uses the same numbers as the Advance/Decline Line but presents them as a ratio instead. The AD Ratio is sometimes more useful than an AD Line, including in instances where comparing AD for different indexes which have different metrics; the ratio is the standardization with which comparisons can be made. Continue reading...
Bear markets are loosely defined as periods when markets experience declines in magnitude of 20% or more. More specifically, bear markets are a period in which a major index like the S&P 500, for example, declines by 20% or more, with this decline sustained for a period over two months or so. Consequently, many investors become “bearish” – they lose confidence in the market, sell off their securities they do not believe will recover soon, and sit on the sidelines. There have been 25 bear markets since 1929, for an average of one every 3.4 years. Continue reading...
On-Balance Volume (OBV) is a popular leading indicator introduced in the 1960s by Joe Granville. OBV is a line built using differences between daily trading volume – in Granville’s estimation, the major driver of market behavior – adding the difference on days that the market or stock moves up and subtracting the difference on days when the market or stock moves down. It looks for instances of rising volume that should correlate with price movement, but price movement has not occurred; additionally, OBV can be used to confirm lag. Continue reading...
Moving averages are important components of many technical indicators. A simple moving average determines the average of a range of closing prices for a security or index for a specific period of time. An exponential moving average is a moving average that gives more weight to the most recent data. Simple moving averages are not weighted for time the way that exponential moving averages are, which has the effect of snapping the chart to the most current information, while simple moving averages have lag. Continue reading...
Delve into the profound world of the Law of Large Numbers, a cornerstone of probability and statistics. This guide offers an in-depth exploration of its principles, applications in various sectors like business, finance, and psychology, and its relationship with other statistical concepts. Whether you're a student, a business professional, or someone intrigued by data analysis, this comprehensive guide sheds light on the intricacies of this fundamental law. Equip yourself with the knowledge to understand the dynamics of large datasets, the challenges of growth, and the nuances of risk and prediction. Continue reading...
Market Breadth is a descriptor that is used in several market indicators such as the daily breadth, the A/D Line, the McClellan Oscillator, and Arms Index. Breadth is the relative difference in the amount of advancing stocks and declining stocks. Daily breadth is simply computed by subtracting one from the other, or creating a ratio in which one is divided by the other. Daily breadth is closely related, even interchangeable, with the Advance/Decline ratio. It can also refer to the difference between New Highs and New Lows, or Net New Highs. Continue reading...
The Russell 1000 is considered the optimal benchmark for large cap U.S. stocks. The Russell 1000 comprises over 90% of the total market capitalization of U.S. stocks, and is the go-to benchmark for large cap U.S. stocks. Like the S&P 500, the Russell 1000 is cap-weighted and will give investors a good idea of how the largest U.S. companies are performing. What is the Russell 2000 Index? What Should I Compare the Performance of My Portfolio With? Continue reading...
The Negative Volume Index (NVI) is a technical indicator that tracks decreases in trade volume for an index or security, as well as price changes on those days. Paul Dysart developed the original version of this indicator for market indexes, and it garnered renewed attention when it was reworked in the 1970s via Norman Fosback in his book Stock Market Logic. The price changes in a security or the percentage change in an index are only added to or subtracted from the Negative Volume Index on days when the trading volume is lower than the day before. By watching market movement on days with lower trading volume, investors can identify where institutions and fund managers are moving their money. If trading volume is down and the market continues to do well, it means that there is a strong bullish primary trend, and that trading volume is not artificially pushing prices around. Continue reading...
The Directional Movement Index (DMI) combines the average directional index (ADX), plus directional indicator (+DI), and minus directional indicator (-DI) into one graph that depicts the strength of positive or negative market forces. By plotting the directional indicators together with the ADX line, traders can get a sense of overall movement and determine a trend’s strength and direction. The DMI is a useful illustration of a key point: the ADX is most useful when combined with other indicators to determine whether it makes sense to trade with a trend. The ADX normally depicts three lines in order to give traders an accurate depiction of both the strength and direction of trends: the Plus Directional Indicator (+DI) and Minus Directional Indicator (-DI), as well as the ADX lines. The DIs indicate trend direction, while the ADX depicts trend strength. Continue reading...
Analytical financial theories and trading strategies can be “backtested” by applying them to historical data. Backtesting is to simulate what it would have been like to use a certain strategy or indicator in the past. Because markets are more complicated than a simple algorithm, such as an assumed future rate of return, it is preferable and somewhat more dramatic to use actual historical data for testing. There is an abundance of historical market data available to those who would like to use it for backtesting a theory, strategy, or indicator. Continue reading...
The Absolute Breadth Index (ABI) is a market breadth indicator, calculated using the absolute value of the difference between the number of advancing stocks and declining stocks to indicate the size of market movement without considering price direction. Larger ABI numbers will indicate more volatility. When breadth is smaller, it means that the market isn’t experiencing significant movement, or movement in a definitive direction. When advances or declines pull away from the other, it indicates the presence of market-wide trends. Continue reading...