Detrended Price Oscillator

Technical Analysis Software : Detrended Price Oscillator

The Detrended Price Oscillator is used when long-term trends or outliers must be removed from prices or index indicators. This indicator is often used to supplement a standard price chart. Other indicators can be plotted over the Detrended Price Oscillator. The Detrended Price Oscillator ("DPO") attempts to eliminate the trend in prices & smoothes the trend in prices. It compares closing price to a prior moving average, eliminating cycles longer than the moving average. It is used to isolate short-term cycles. Short-term cycles add together like musical harmonics to create longer-term cycles. By studying the shorter-term harmonics of a long-term cycle, turning points in the major cycle can be determined. The DPO removes the longer-term cycles from prices, making the shorter-term cycles more visible. The Detrended Price Oscillator is most effective with indicator periods of 21 or less.

Detrended prices allow to more easily identifying cycles and overbought/oversold levels. Short- term cycles add together to create longer-term cycles. Analyzing these shorter-term components of the long-term cycles can be helpful in identifying major turning points in the longer-term cycle. The DPO helps to remove these longer-term cycles from prices.

Comparative Relative Strength

  Technical Analysis Software : Comparative Relative Strength

The Comparative Relative Strength index divides one price field by another price field. The base security is outperforming the other security when the Comparative RSI is trending upwards. Comparative Relative Strength compares two securities to show how the securities are performing relative to each other.

Comparative Relative Strength compares a security's price change with that of a "base" security. When the Comparative Relative Strength indicator is moving up, it shows that the security is performing better than the base security. When the indicator is moving sideways, it shows that both securities are performing the same (i.e., rising and falling by the same percentages). When the indicator is moving down, it shows that the security is performing worse than the base security.

Comparative Relative Strength is often used to compare a security's performance with a market index. It is also useful in developing spreads .

Commodity Channel Index

  Technical Analysis Software :  Commodity Channel Index

The purpose of CCI indicator is to identify cyclical turns in commodities. This indicator oscillates between an overbought and oversold condition and works best in a sideways market. The assumption behind the indicator is that commodities (or stocks or bonds) move in cycles, with highs and lows coming at periodic intervals.

The Commodity Channel Index (CCI) is a timing tool that works best with seasonal or cyclical contracts. It keeps trades neutral in a sideways moving market, and helps get in the market when a breakout occurs.

The CCI is a versatile indicator capable of producing a wide array of buy and sell signals. CCI can be used to identify overbought and oversold levels. A security would be deemed oversold when the CCI dips below -100 and overbought when it exceeds +100. From oversold levels, a buy signal might be given when the CCI moves back above -100. From overbought levels, a sell signal might be given when the CCI moved back below +100.

CCI also help identify price reversals, price extremes and trend strength. CCI fits into the momentum category of oscillators

Chande Momentum Oscillator

Technical Analysis Software : Chande Momentum Oscillator

The Chande Momentum Oscillator (Chande) is an advanced momentum oscillator derived from linear regression. Increasingly high values of CMO may indicate that prices are trending strongly upwards. Conversely, increasingly low values of CMO may indicate that prices are trending strongly downwards. CMO is related to MACD and Price Rate of Change (ROC). The Chande's Momentum Oscillator function determines the momentum of price data by comparing the size of recent negative price changes to the size of recent positive price changes.

This function determines the momentum of price data by comparing the size of negative price changes to the size of positive price changes. The value resultant value is normalized from -100 to 100 where negative values indicate larger negative cumulative price changes and positive values indicate larger positive cumulative price changes.There are two different ways that this oscillator is used as a trading signal.

The Chande Momentum Oscillator (Chande) is an advanced momentum oscillator derived from linear regression. Increasingly high values of CMO may indicate that prices are trending strongly upwards. Conversely, increasingly low values of CMO may indicate that prices are trending strongly downwards. CMO is related to MACD and Price Rate of Change (ROC). The Chande's Momentum Oscillator function determines the momentum of price data by comparing the size of recent negative price changes to the size of recent positive price changes.

This function determines the momentum of price data by comparing the size of negative price changes to the size of positive price changes. The value resultant value is normalized from -100 to 100 where negative values indicate larger negative cumulative price changes and positive values indicate larger positive cumulative price changes.

There are two different ways that this oscillator is used as a trading signal. The first is to measure overbought (greater than 50%) or oversold (less than -50%) levels for a given instrument. The second method is to buy when the oscillator crosses above its moving average line and to sell when the oscillator crosses below its moving average line.

Momentum indicators are useful for determining trends in data. This indicator can be used as an overbought/oversold Indicator. As a general rule, a instrument  is considered to be overbought if this indicator is greater than 50 and oversold if this indicator is less than 50. It can also be used to determine the degree to which an instrument is trending.

Chaikin Volatility

Technical Analysis Software :  Chaikin Volatility

The Chaikin Volatility Oscillator is a moving average derivative of the Accumulation/Distribution index. The Chaikin Volatility Oscillator adjusts with respect to volatility, independent of long-term price action. The Chaikin Volatility Indicator represents the difference between periodic high and low prices. Increases in the indicator reflect increased volatility in the price, which potentially signals the end of a price trend. The indicator will peak when the price reaches a new high or a new low.

The Chaikin Volatility Indicator is constructed as the difference between a moving average of high-low price range for current period versus the high-low moving average n periods ago. The indicator requires two input fields- the moving average period (first input) and the period over which the moving average difference will be calculated (second input).

It measures volatility as the trading range between high and low for each period. There are two ways to interpret this measure of volatility.

One method assumes that market tops are generally accompanied by increased volatility and that the latter stages of a market bottom are generally accompanied by decreased volatility.

Another method assumes that an increase in the Volatility indicator over a relatively short time period indicates that a bottom is near and that a decrease in volatility over a longer time period indicates an approaching top .

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