A weighted average is a calculation considers the relative importance or relevance of a piece of data. Weighted averages multiply numbers in the average by a predetermined factor, like time, that enhances the relevance given to the number. One example of a weighted average is the Exponential Moving Average (EMA), an alternative to the Simple Moving Average (SMA) line which gives greater weight to the more recent data. SMAs are effective in their simplicity, but their efficacy is most closely tied to how they are used. Continue reading...
The Volume Weighted Average Price (VWAP) helps traders consider the influence of volume on prices. VWAP is calculated by taking the average of prices from a time period and dividing it by the trading volume for the current day. Traders use VWAP to confirm trends and decide whether to take long or short positions, while large institutions are likely to use VWAP to avoid disrupting market prices, finding the liquid and illiquid price points and trading so as not to move prices away from the averages. Continue reading...
Indexes track markets in different ways, and Weighted Average Market Capitalization is a method which gives market cap, or the cumulative value of outstanding shares for a company, greater weight. Market Capitalization is the sum total value of all outstanding shares and is one way to judge the size of a company or at least its size in the market. Indexes such as the S&P 500 are Cap-Weighted indexes, which means they give greater emphasis the to the largest companies, and the dramatic price movements of only a few of the largest companies would mean that the index would swing disproportionately for large-cap companies. Continue reading...
Managing a fund based on P/E Ratio generally tends to put valuation ahead of other criteria when selecting stocks. The main categories which can be derived from P/E Ratios are Growth and Value funds. Fund managers may intentionally invest in companies with a higher P/E than the market benchmark, because these tend to be considered Growth stocks. These companies are experiencing growth and are projected to continue to do so, which is seen in the high price of the stocks. Continue reading...
International banking regulations set forth in the Basel Accords require that institutions maintain a certain amount of capital relative to the amount of risk-weighted assets (RWA) they have. Conservative investments such a treasury notes have a risk weighting of zero, while corporate bonds have a weighting of .20, and so forth. The exact weighting system is laid out in Basel agreements. The system is designed to reveal a bank’s level of exposure to potential losses, and the capital requirements are there to balance out the risks and to protect the global economy from a meltdown in the financial system. Continue reading...
The Cost of Capital is the hurdle over which a business must get to generate positive cash flow. It is what it will cost companies to get capital from investors. Companies sometimes use debts or equities to finance their business operations. The service paid on debt and the operating expenses are lines over which the revenue must get to be saved as retained earnings or distributed as dividends. The yield expected by investors on debt is the cost of capital for the company taking on those loans. Continue reading...
When creating an index, it must be decided what criteria will affect the value of the index, and in the case of a price-weighted index, the only consideration is the price of shares. A price-weighted index is created by adding up the individual price per share of the companies included in the index and dividing by the number of companies. Essentially what you've done is arrived at the average price per share of the companies included in the index. Continue reading...
Moving averages are important components of many technical indicators. The Exponential Moving Average (EMA) uses the closing prices of all the previous trading days for a given interval to calculate an average price from that for the period, but is weighted to give the most recent days more influence over the final number. The weighted averages are plotted in a line that helps traders follow trends. Continue reading...
The Golden Cross is a breakout candlestick pattern formed when the short term 50-day moving average for a security exceeds its long term 200-day average, backed by high trading volumes. Investors typically interpret this crossover as a harbinger of a bull market, and its impact can reverberate throughout index sectors. The longer time horizons tend to increase the predictive power of the Golden Cross. As seen in the chart in this example, a trader may view the moment when a 50-day moving average (blue line) crosses above a 100-day or 200-day moving average (red line) as a bullish sign for the stock or security. A trader may consider taking a long position in the security, or perhaps explore call options to take advantage of the potential upside. Continue reading...
The Death Cross is the inverse of a Golden Cross: a chart pattern occurring when a security’s short-term moving average crosses underneath its long-term counterpart, typically followed by an increase in trading volume. A death cross, which like a golden cross most commonly uses long-term 50-day and 200-day moving averages to detect the pattern, usually signifies an incoming bear market to traders. Continue reading...
A moving average ribbon is created by plotting many incremental moving average lines on top of the same price chart. The visual relationship of the moving averages can help reveal crossover points, which traders can use as trade signals. As with other crossover indicators, the shorter-term moving average lines will tend to move more than the longer-term ones, and the degree of momentum that the crossovers imply increases for moving average lines of lengthier look-back periods. Continue reading...
The Kaufman’s Adaptive Moving Average (KAMA) was developed by analyst Perry Kaufman in an attempt to cancel out the noise of market volatility and inefficiency by using an efficiency ratio multiple. Kaufman’s algorithm is a bid to cancel out “noise” in the data used to create a moving average line. The Exponential Moving Average (EMA) is imperfect in part because of its reliance on historical data – if the data is not current, it tells traders nothing about how an asset may trend in the future. Some traders also believe that EMAs are biased by virtue of weighting recent data more heavily, which can lead to false signals and potential losing trades. Continue reading...
Explore the Volume-Weighted Average Price (VWAP) and its significance in intraday trading. Understand VWAP's role in trend confirmation, institutional strategies, and assessing trading activity. Learn its differences from simple moving averages and its limitations. Continue reading...
The Dow Jones Industrial Average (DJIA) is an index comprised of 30 'significant' U.S. stocks, typically the biggest and most frequently traded. The Dow Jones Industrial Average was created in 1896 by Charles Dow, as a way to track the general trend of U.S. stocks. The index is price-weighted versus cap-weighted, meaning that if a company splits 2 for 1 its contribution to the index will drop by half (even though the company's value did not change). Continue reading...
Dollar cost averaging (DCA) is a method of hedging against the risk of investing a lump sum at high market prices. With DCA, the investor deploys money at set intervals, hoping to get the best average price per share. If you use the same amount of money to buy shares at set intervals, you will acquire more shares when the market is down, and fewer shares when the market is up, so theoretically you would have acquired more of the advantageously-priced shares overall and will be in a better position in the long run. Continue reading...
Ever wondered how to get more precise insights from your data? Enter the world of weighted averages! Unlike simple averages that treat all numbers equally, weighted averages consider the relative importance of each value. Whether you're an investor calculating cost basis or a teacher grading assignments, weighted averages offer a more accurate picture. Our guide breaks down the what, why, and how of this essential mathematical tool. Dive in to unlock the power of precision in a world of numbers and make more informed decisions. 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...
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...
Trend traders can use the Average Directional Index (ADX) technical indicator to spot and confirm the strength of a trend in a security, then combine the ADX reading with other indicators to determine whether it makes sense to trade with the trend. Click here to view the current news with the use of other Technical Indicators Technical Indicators are charting tools that appear as lines on charts, or as other kinds of graphical information, and serve as guidelines for buying and selling opportunities. Traders use technical indicators like the ADX to make predictions about future prices. They verify how well a specific indicator works for a particular security, often by calculating the odds of success under similar market conditions to guide their actions. Continue reading...
Investors and traders are in constant search of tools they can use to gain any possible advantages from shifting markets. Technical indicators are especially vital parts of any trader’s kit, and few indicators are as consistent (and dependable) as moving averages. A Simple Moving Average (SMA) is a technical indicator that can help traders determine whether a bull or bear trend will continue or reverse course. It typically adds up closing prices for a given time period, then divides that figure by the number of time periods used for the average. Continue reading...