The Commodity Selection Index (CSI) is a momentum indicator based on the Directional Movement Indicator and the Average True Range. It helps commodities traders find momentum in commodities futures that seem to be the best candidates to make the trader money in the short term, based on volatility and also the cost of holding the position. This momentum indicator uses multiple other indicators for price, volume, and volatility to find short term trends. It may identify situations where a price movement is likely to persist. This is certainly not a guarantee, and even if a trend is strong there are often retracements and unexpected reversals. 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...
Trend analysis is an attempt to explain market movements as general directional tendencies of various strength over various time frames. Trend analysis also works to predict future movements based on the probability of a trend continuing. The use of moving averages with support and resistance levels is the most commonly used methodology in trend analysis, and several trading strategies employ these tools in various ways. Trade volume, spreads, news, crossover points, and other market factors are also considered in the discipline. Continue reading...
The Aroon Indicators are a pair of momentum indicators – the Aroon Up value and Aroon Down value – named after the Sanskrit word for the first light of day. Each indicator represents a standardized value for the strength of the upward or downward pressure on a stock, which analysts can compare to determine if there is a trend emerging. Aroon looks at the latency between highs for certain rolling time periods, with 25 days being the standard time frame. 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...
Hedge funds can employ many strategies and focus on virtually any kind of investing style or market. They also have the flexibility to change their strategy as they see fit. Morningstar and other services will group hedge funds into categories and provide benchmarks based on their average performances. As of 2016, there are over 12,000 hedge funds, and over half of those are required to report to the SEC. Continue reading...
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 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 Cost of Goods Sold, or COGS, represents the overhead associated with the materials and labor, which were needed to produce the goods sold during a given period. The COGS calculation is only concerned with the production costs of a good, and does not take distribution and sales force costs into account. It will always include the direct materials cost and direct labor cost for each item, but indirect overhead associated with production, such facility costs, are distributed between Inventory and COGS, according to Generally Accepted Accounting Practices (GAAP). 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...
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...
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...
Every institution that can be your IRA trustee will offer different options within the IRA. IRA is a tax designation which can be placed on an account at various institutions that offer a compliant list of investment options. Some can be as simple as a CD characterized as an IRA at a bank or credit union. Investment institutions can offer a wide variety of investment choices in an IRA: stocks, bonds, mutual funds, CDs, annuities, and so on. Margin trading is not allowed in IRA accounts, so you might not be able to use options or other hedging strategies in your IRA. Continue reading...
When budgeting for companies, some expenses are fixed overhead and some are variable, which depend on the amount of work being done. The direct cost of materials and labor are a good example of variable costs that will fluctuate with production levels. There may be an equation that the company can use to reliably predict these variable costs, but they are not fixed costs. From an accounting perspective, of course, these costs would be in separate sections. Fixed costs include warehousing, depreciation, insurances, rent, taxes, salaries, and so forth. These can be put into the budget before anything else happens or any orders have been taken for the year. The variable costs must be taken into account on the fly. Continue reading...
IRS Link to Form — Found Here Form 706 is the Estate Tax return, and it has a section concerning Generation-Skipping Transfers. 706 GS (D), specifically, is the form which 706: GS (D-1) is the corresponding form if the transfer is associated with a trust, which is filed by the trustee. The Generation-Skipping Tax attempts to prevent an estate from transferring too many assets directly to grandchildren instead of children for the purpose of shielding heirs from estate taxes. The form for reporting Generation Skipping Transfers is 706 GS (D), where 706 is the Estate Tax Return filing. 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...
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...