Read more about the article DecisionPoint Price Momentum Oscillator (PMO) in-2025
"The DecisionPoint Price Momentum Oscillator (PMO) helps traders measure price momentum and identify potential trend reversals – Learn more at InvestmentIQ.in"

DecisionPoint Price Momentum Oscillator (PMO) in-2025

DecisionPoint Price Momentum Oscillator (PMO) The DecisionPoint Price Momentum Oscillator (PMO), created by Carl Swenlin, is an oscillator that is based on a Rate of Change (ROC) calculation that has been twice smoothed using exponential moving averages and a specially designed smoothing procedure. The PMO can also be used as a relative strength tool because it is normalized. Stocks can thus be ranked by their PMO value as an expression of relative strength. Calculating the PMO A 1-period rate of change is smoothed using two bespoke smoothing methods to produce the DecisionPoint Price Momentum Oscillator. Although the custom smoothing algorithms are quite similar to Exponential Moving Averages, they just use the period by itself rather than adding one to the time period option to create the smoothing multiplier (as in a real EMA).A copy Smoothing Multiplier =…

Continue ReadingDecisionPoint Price Momentum Oscillator (PMO) in-2025
Read more about the article CMB Composite Index
"The CMB Composite Index is a tool that combines multiple indicators to evaluate market trends – explore its components on InvestmentIQ.in"

CMB Composite Index

What Is the CMB Composite Index? Constance Brown first presented the CMB Composite Index, an unbound momentum indicator, in her book Technical Analysis for the Trading Professional. The traditional RSI indicator, created by Welles Wilder, had several drawbacks that this updated version of RSI aims to address. First, Brown's signal now includes a momentum component, which Wilder's version does not. Brown also decided to turn the CMB Composite Index into an unbound indicator. Some reversal indications may be missed by traditional RSI because of its restricted character. Brown recommends looking for divergences between the CMB Composite Index and traditional RSI, which can indicate an upcoming reversal.…

Continue ReadingCMB Composite Index
Read more about the article Average True Range (ATR) and Average True Range Percent (ATRP) in-2025
"Visual representation of Average True Range (ATR) and ATR Percent (ATRP) – tools for measuring market volatility on InvestmentIQ.in"

Average True Range (ATR) and Average True Range Percent (ATRP) in-2025

What Is the Average True Range (ATR)? The Average True Range (ATR) is a volatility indicator that was created by J. Welles Wilder. Wilder created ATR with commodities and daily prices in mind, as he did with the most of his indicators. Compared to equities, commodities are sometimes more volatile. They frequently experience gaps and limit moves, which happen when a commodity opens up or closes below the session's maximum permitted  change. The volatility of gap or limit moves would not be captured by a volatility model that solely relies on the high-low range. In order to account for this "missing" volatility, Wilder developed the Average True Range. It is important to remember that ATR doesn't indicate price direction, just volatility.In his 1978 book, New Concepts in Technical Trading Systems, Wilder discusses ATR. The Directional Movement Concept (ADX), RSI, and Parabolic SAR are also included in this book. Wilder's indications have endured and are still widely used even though they were created before the computer era. True…

Continue ReadingAverage True Range (ATR) and Average True Range Percent (ATRP) in-2025
Read more about the article Technical Indicators & Overlays
📈 Want to level up your chart analysis? Learn how to use indicators like RSI & MACD and overlays like moving averages to spot trends, momentum, and entry points. 🎯

Technical Indicators & Overlays

Technical Indicators & Overlays Introduction Technical Indicators are the often squiggly lines found above, below and on-top-of the price information on a technical chart. Indicators that use the same scale…

Continue ReadingTechnical Indicators & Overlays
Read more about the article Dominate the Markets with Smart Technical Analysis | TA 101 – Part 17
Level up your technical analysis game in TA 101 Part 17. Learn advanced signals and smarter trading strategies to stay ahead of the market!

Dominate the Markets with Smart Technical Analysis | TA 101 – Part 17

Dominate the Markets with Smart Technical Analysis | TA 101 – Part 17 Smart Technical Analysis Comparison Charting Welcome to Part our Technical Analysis 101 Series – "Dominate the Markets…

Continue ReadingDominate the Markets with Smart Technical Analysis | TA 101 – Part 17
Read more about the article Decision v Point Swenlin Trading Oscillator (STO)
Gain insight into short-term market breadth with the Swenlin Trading Oscillator (STO), a key DecisionPoint indicator.

Decision v Point Swenlin Trading Oscillator (STO)

Decision v Point Swenlin Trading Oscillator (STO) Short-term tops and bottoms can be identified with the help of an overbought/oversold indicator. Decision Point Intermediate. Click here to see that in Details The Swenlin Trading Oscillator (STO), an overbought/oversold indicator created by Carl Swenlin, can help spot short-term tops and bottoms. There are two variations: STO-B, which uses advances and declines, and STO-V, which uses advancing and declining volume. It is only proper to compute on an index because the computation is dependent on the number of advancers and decliners. Calculating STO The daily advances less decreases divided by the total number of daily advances and declines times 1000 is the STO, which is a 5-day simple moving average of a 4-day exponential moving average: (A-D)/(A+D)*1000. The width version of the STO can be computed using advances and declines, as demonstrated in the example below. Just replace advances and declines with advancing and declining volume to compute the volume version.A copy STO: 5 SMA (4…

Continue ReadingDecision v Point Swenlin Trading Oscillator (STO)
Read more about the article What is Lagging Indicators
📉 What Are Lagging Indicators? Lagging indicators help confirm trends after they form, giving you reliable entry and exit signals. 📊 Learn when to use them with smart trading strategies at www.investmentiq.in #LaggingIndicators #StockMarketEducation #TechnicalAnalysis #investmentiQ #SmartTrading

What is Lagging Indicators

Lagging indicators, often known as trend-following indicators, do exactly what their name suggests: they track the price activity. These signs will almost never drive a security's price. When stocks or markets exhibit robust trends, trend-following indicators perform well. As long as the trend continues, they are intended to draw traders in and hold them there. As a result, these indicators are useless in sideways or trading markets. Trend-following indicators are likely to produce a lot of false signals and whipsaws when employed in trading markets. MACD and moving averages (exponential, basic, weighted, and variable) are two common trend-following indicators. The S&P 500 ($SPX) is seen in the above chart along with its 20- and 100-day simple moving averages. Seven signals were produced during the two years shown in the figure using a moving average crossover. The system would have made a huge profit throughout these two years. The significant trends that emerged from October 1997 to August 1998 and from November 1998 to August 1999 are to blame for this. Observe, however, that the whipsaws commence as soon as the index begins to move laterally within a trading range. Within a few days, the purchase, sell, and sell signals in November 1997, August 1999, and September 1999 were reversed. There would have been fewer whipsaws if these moving averages (50- and 200-day moving averages) had been longer.Had these moving averages been shorter (10 and 50-day moving average), there would have been more whipsaws,…

Continue ReadingWhat is Lagging Indicators
Read more about the article Strengths of Fundamental Analysis
Explore how fundamental analysis uncovers a company’s true value using financial health, earnings, and economic data.

Strengths of Fundamental Analysis

Strengths of Fundamental Analysis Long-term Trends For long-term investments based on extremely long-term patterns, fundamental analysis works well. Patient investors who choose the appropriate sector groups or companies can gain from the ability to see and forecast long-term changes in the economy, population, technology, or consumer behavior. Learn more about this Value Spotting Finding businesses that offer high value will be made easier with the aid of sound basic analysis. Some of the most renowned investors have a long-term and value-oriented perspective. John Neff, Warren Buffett, and Graham and Dodd are regarded as value investing evangelists. Companies with significant assets, a solid balance sheet, consistent earnings, and longevity can be found with the aid of fundamental research. Business Acumen One of the most obvious, but less tangible, rewards of…

Continue ReadingStrengths of Fundamental Analysis