The Relative Strength Index (RSI) was developed by J. Welles Wilder Jr. to measure asset momentum using price changes and the speed of those changes. Like stochastics, the RSI is an oscillator that reads between 0 and 100; in this case, the RSI calculation determines the ratio of upward and downward movement using 14 periods of data, then smooths it out so only strong trends approach 0 or 100. Traders traditionally interpret RSI values of 70 or greater as an indicator of an overbought asset, while values 30 or below indicate an asset has been oversold; higher or lower values (like 80 and 20) can be used to minimize the number of bought or sold readings. Continue reading...
Relative Strength Index (RSI) is a momentum oscillator developed by Welles Wilder. In the RSI, the average gains and average losses over a specific time period (such as 14 days) are divided to calculate the Relative Strength, then normalized into the Relative Strength Index (RSI), which is range bound between 0 and 100. The RSI typically fluctuates between values of 70 and 30, with higher numbers indicating more momentum. According to this indicator, a security with an RSI over 70 (out of 100) can be considered overbought, while a security with an RSI under 30 (out of 100) can be considered oversold. Continue reading...
Oversold describes a situation in which a security has an inherent value greater than its price, which has decreased due to low demand. It is hard to determine when a security is oversold, but the Relative Strength Index (RSI), an momentum oscillator developed by Welles Wilder, is one tool that can help make a determination. In the RSI, the average gains and average losses over a specific time period (such as 14 days) are divided to calculate the Relative Strength, then normalized into the Relative Strength Index (RSI), which is range bound between 0 and 100. The RSI typically fluctuates between values of 70 and 30, with higher numbers indicating more momentum. According to this indicator, a security with an RSI under 30 (out of 100) can be considered oversold Continue reading...
Overbought is a term used when analysis indicates demand seems to have been escalated by investor emotion or media hype, beyond the point where it can be sustained or supported by fundamentals. The increased demand drives the price of the security up for a short time, before the overbought security likely experiences an eventual sell-off and price decline. It is hard to determine when a security is overbought, but the Relative Strength Index (RSI), an momentum oscillator developed by Welles Wilder, is one tool that can help make a determination. In the RSI, the average gains and average losses over a specific time period (such as 14 days) are divided to calculate the Relative Strength, then normalized into the Relative Strength Index (RSI), which is range bound between 0 and 100. The RSI typically fluctuates between values of 70 and 30, with higher numbers indicating more momentum. According to this indicator, a security with an RSI over 70 (out of 100) can be considered overbought. Continue reading...
Momentum trading usually involves long positions in a security that has been experiencing an uptrend and has a high volume of trading, and dropping positions that have lost momentum. Several systems exist to help take the emotion out of trading and to stick to a theory with rules. Momentum trading is such a system, and it can be automated with help from algorithm. Some indicators that can be used are Rate of Change and Relative Strength Index. Some would identify high momentum as steady price increases bolstered by high trading volume. Continue reading...
Market momentum is the tendency of a trend to continue in one direction or another. Various analysis methods and indicators seek to identify the strength of trends and to find points of possible reversals and retracements. A market has strong momentum when trading volume is up and confirms the direction of price movement in the market. Bullish or bearish market sentiment will influence the degree of momentum that is present. Continue reading...
The analysis of convergence and divergence between indexes and other data seeks to find leading indicators where there is confirmation or non-confirmation of trends. Dow Theory was one of the first examples of such thinking. Charles Dow would watch the movements of Industrials and the Rail and compare the uptrend or downtrend of each. Where trends do not line up (e.g., one is trending downward with lower troughs and the other has “higher lows”) there is “divergence”, and non-confirmation of what was thought to be a trend in one index. 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...
In statistics, the number of times that a specific value shows up in a data set is the absolute frequency of that value. The absolute frequency can then be used to find the relative frequency, which is the probability that the specific value is observed in a given number of trials. The relative frequency (empirical probability) takes the absolute frequency and divides it by the total number of trials (cumulative frequency), and can be expressed as a ratio or percentage. Continue reading...
The Accumulative Swing Index (ASI) is a trendline representing the running total of an oscillator called the Swing Index, first described by Webb Wilder in his book, “New Concepts in Technical Trading Systems.” The Swing Index itself compares the price data from the current period and the preceding period to quantify the positive or negative “swing,” which can be understood as a measure of directional velocity in a price. Continue reading...
Market indexes attempt to give an overall picture of the behavior of the market by tracking the performance of a representative sample of stocks. Different indexes have different focuses. The Russell 3000 samples more of the smaller companies than the S&P 500. Index mutual funds and ETFs track specific indexes but, as you’ll notice in their disclosures, it is impossible to invest directly in an index; they only follow the index by investing in as many of the companies as possible and minimizing lag as much as they can. Indexes give numerical values for the progressive fluctuations in the price action for specific sets of stocks. Continue reading...
The MSCI ACWI is the “All Country World Index” - providing the broadest measure for global stocks. The MSCI ACWI tracks performance of stocks from all over the world - literally. It includes all markets and gives the broadest picture for how world stocks are performing. Developed markets account for some 75% of total global output, so the MSCI ACWI includes many countries that are not necessarily palatable contributors to world growth. Continue reading...
Instead of waiting for confirmation of reversal, “buying on weakness” means to go ahead and buy a long position (or cover a short position) while a stock is in the middle of a downtrend, in the hopes that it will reverse soon and the preemptive move will allow you to capture the entire upside. Upswings can happen very quickly, and failure to prepare for them can cost investors a lot of money. Buying on weakness is intended to put the investor in a position for maximum gains, as well as preventing losses on a short position. This is one part of the “buy on weakness / sell on strength” mantra, which is essentially the same thing as “buy low / sell high”. Continue reading...
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...
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 main idea behind index investing is that markets are efficient, and, especially with the low fees of indexed funds, it can be a winning strategy. Index investing is a simple strategy of choosing the indices which reflect your investment beliefs and offer diversification, buying mutual funds or ETFs that track these indices, and holding them for a long period of time. The last 10 years have seen the propagation of index funds for any specific market, industry, country, commodity, etc. Continue reading...
Index futures are futures contracts written on an index in which a large position can be held with a relatively small margin requirement. Index futures can be used for hedging or speculation. A "good faith" initial margin deposit (also called a performance bond) of a fraction of the contract size is all that is required to hold a substantial position, with a notional value worth significantly more than the amount invested. Continue reading...
Most index funds are known for using a completely passive strategy to track an index, but some take a more active approach. Some mutual funds track an index by passively using algorithms to buy the shares necessary to build a portfolio which closely replicates an index. Such a fund will have low turnover, will only rebalance slightly based on the market cap or other criteria set forth in the prospectus, and will basically ride out all of the ups and downs of the index in a blind faith for the efficient market hypothesis. Continue reading...
Mutual funds can be described, categorized, and screened using the various criteria involved in their construction and maintenance. When investors look for mutual funds, it may be useful to incorporate a mutual fund screener from a website. There are many criteria by which you can classify a mutual fund, such as investment style, market capitalizations of stocks in the fund, the industry sector or region in which the fund focuses, as well as the size of the expenses or type of sales load. Is the fund geared toward the short-term or long-term? Does it have a high turnover ratio? 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...