Chaikin Analytics Resources Chaikin Analytics WebApp User Guide Power Gauge Rating

Power Gauge Rating


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The Chaikin Power Gauge Rating (PGR) is the core of the Chaikin Analytics system. It combines 20 factors into a simple, reliable indication of a stock’s potential performance relative to the market over the next 1-6 months. It is supported by 10 years of independent backtesting and 5 years of successful real-world performance.

The model looks at the following components:

  • Financial Metrics
  • Earnings Performance
  • Price/Volume Activity
  • Expert Opinions.

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The rating ranges from Very Bearish (likely to underperform) to Very Bullish (likely to outperform).

How is it computed

Each market day, a Power Gauge Rating is computed for all stocks in the system which have at least one year of trading history and report earnings. Recent IPOs and ETFs will not have a Power Gauge Rating.

Twenty factors are weighted and combined into a daily PGR value. The end-of-week rating is stored as the historical value for the week.

The model is designed so that in non-trending markets there will be a consistent percentage of stocks with each rating at any given time. In strongly trending markets there may be more Bullish or Bearish stocks.

Calculations are performed by our portfolio modeling provider,, which sources data from S&P Compustat.

How Do I use it

Since it includes so many key technical and fundamental metrics, the PGR can be an important building block in a Buy/Sell evaluation.

In short, the easiest way to benefit from the PGR is: consider buying or holding Bullish stocks, and avoiding Bearish stocks.

Of course, any investment decision depends on many factors, including suitability relative to your financial goals. The PGR should not be used in isolation – you may want to consider other factors such as Industry Group strength and timing, which Chaikin Analytics Signals are designed to assist with.

Components and Factors

The following are the 20 Power Gauge Factors, grouped into 4 top-level Components.

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These can be seen by expanding the chart header.

Definitions of each factor can be found in the Power Gauge Factor Guide

Each Factor starts with a raw value which is normalized for consistency across different types of stocks, then given a 1-100 score reflecting its relative rank within the comparison universe (either the Russell 3000 or the stock's Industry Group). Factors have been selected for their predictive value and lack of covariance.

Factors are combined with a proprietary weighting system into a raw rating, which is adjusted for strongly trending stocks to arrive at a final Power Gauge Rating.

Note. Factors in the Earnings and Experts Components are based on data from S&P Compustat. Earnings and Estimate values displayed in the Chaikin Analytics application are sourced from Zacks Investment Research. Both are industry-leading providers, however they use different methodologies. See the Earnings section for more detail.

Raw Power Gauge Rating

Factors are combined with a proprietary weighting system into a score which is ranked across the Russell 3000. This ranking is turned into a "raw" rating by dividing the universe into 7 equal parts, or "septiles" and assigning into "rating buckets" as follows:

Septile Raw Rating
1 Very Bullish
2, 3 Bullish
4, 5 Neutral
6 Bearish
7 Very Bearish

This rating indicates a stock's likely performance relative to the Russell 3000 over an intermediate time frame (1-6 months). Independent backtesting has confirmed the correlation between the Power Gauge Rating and relative performance at 1, 3, and 6 month intervals, in real-world performance as well as during test periods with known data.

Distribution of Ratings

Raw Power Gauge Ratings for Russell 3000 stocks have a consistent distribution at any given time.

The process is run separately on the broader 5,000 stock universe to determine Power Gauge Ratings for approximately 2,000 small cap stocks not in the Russell 3000. This is done so the very small cap stocks do not distort the rankings of the Russell 3000 stocks.

Technical Overlay

As a final step, the raw Rating may be adjusted to account for strongly trending stocks by applying a "technical overlay", which can clip the Rating to "Neutral+" or "Neutral-".

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If a Very Bullish or Bullish stock closes below its long-term trend (the 200-day double-exponential average, or orange line on the Chaikin chart), the Power Gauge Rating will be clipped to Neutral+. The Bullish rating will be restored once the stock closes back above this line, assuming the raw Rating remains Bullish.

Conversely, If a Very Bearish or Bearish stock crosses above its long-term trend, the Power Gauge Rating will be clipped to Neutral-. The Bearish rating will be restored once the stock closes back below this line, assuming the raw Rating remains Bearish.

The overlay is applied when the raw Rating does not agree with the actual technical condition of the stock, as this indicates there may be some information driving the market which the model has not factored in yet. When a Bullish Stock crosses below its long-term trend, it is at higher risk for a breakdown. By clipping to Neutral +, this is like applying a circuit breaker - it lowers the risk of the model, and reduces volatility in your returns if you are following the model, until price activity agrees with the Rating again, when the confidence level of the Rating is higher.

This allows the Chaikin Power Gauge model to respond to overall market trends: at times when many stocks are breaking down, the overall distribution of ratings will skew Bearish, and in times when many stocks are breaking out, rating distribution will Bullish.

Exception. A Bearish stock which closes above its long-term trend will remain Bearish if DEMA is falling.

Finding Stocks

Power Gauge Hot Lists provide predefined lists of Bullish, Bearish, and recently changed stocks.

The Screener provides a very flexible interface for finding stocks which meet Power Gauge criteria, combined with Industry, Technical, and other information.

The Sectors & ETFs view shows Sectors, Sub-sectors, and ETFs along with their constituent stocks and is another great way to find candidates.