Our Services

set_from_database_string( $objRecord->retrieve_data( $TableFields[DATA_PMII_LAST_DATE] ) );

# Last PMI index value:
$nLastPMI = $objRecord->retrieve_data( $TableFields[DATA_PMII_LAST] );

# Date of inception:
$objInceptionDate->set_from_database_string( $objRecord->retrieve_data( $TableFields[DATA_PMII_START_DATE] ) );

# Compound annual return since inception:
$nNAVStart = $objRecord->retrieve_data($TableFields[DATA_PMII_START]);
$objStartDate = new PMIDate( 1, 1, 2000 );
$objEndDate = new PMIDate();

$nStartTime = $objStartDate->get_time();
$nEndTime = $objEndDate->get_time();
$nTimeDiff = $nEndTime – $nStartTime;
$nYears = ( $nTimeDiff / 60 / 60 / 24 / 365 );

$nSum = ( 1 + (($nLastPMI – $nNAVStart) / $nNAVStart) );
$nReturn = pow( $nSum, (1 / $nYears) ) – 1;

$nNAVAnnualReturn = round( ($nReturn * 100), 1 );
$nNAVAnnualReturn .= “%”;

# S&P 500 compound annual return since inception:
$nSP500Last = ( $objRecord->retrieve_data($TableFields[DATA_SP500_LAST]) * $objRecord->retrieve_data($TableFields[DATA_SP500_SHARES_LAST]) );
$nSP500Start = ( $objRecord->retrieve_data($TableFields[DATA_SP500_START]) * $objRecord->retrieve_data($TableFields[DATA_SP500_SHARES_START]) );

$nSum = ( 1 + (($nSP500Last – $nSP500Start) / $nSP500Start) );
$nReturn = pow( $nSum, (1 / $nYears) ) – 1;

$nSP500Change = round( ($nReturn * 100), 1 );
$nSP500Change .= “%”;

# Date of latest asset allocation update:
$objAllocationDate->set_from_database_string( $objRecord->retrieve_data( $TableFields[DATA_PMII_ALLOCATIONS_DATE_LAST] ) );

# Calculate trade returns
$nStartAssets = 10000;
$nEndAssets = 21415000;

# Trade in progress

# Last S&P 500 index value:
$nTradeLast = $objRecord->retrieve_data( $TableFields[DATA_SP500_LAST] );

# Entry point for short trade:
$nTradeEntry = $objRecord->retrieve_data( $TableFields[DATA_TRADE_ENTRY_POINT] );

# Current trade percentage return:
$nTradeReturnPercent = ($nTradeEntry – $nTradeLast) / $nTradeEntry;

# Current trade gross return:
$nTradeReturn = ( $nEndAssets * $nTradeReturnPercent );

# Current trade net return (minus capital gains):
$nTradeReturn -= ( $nTradeReturn * 0.20 );

# New net assets:
$nEndAssets += $nTradeReturn;

# Cumulative percentage return:
$nCumulativePercent = round( ((($nEndAssets – $nStartAssets) / $nStartAssets ) * 100), 0 );

The world of financial advice has always been a challenging one to navigate. Given that there is so much money involved in the industry, it can be difficult to trust any analysis that is offered. Is an analyst recommending a stock because he truly believes it will appreciate in price, or does he simply need buyers to support the liquidation of a large position? Perhaps the analyst has been compensated by the company he is touting in the form of stock. In that case, how objective can any subsequent analysis truly be? Large Wall Street firms also have their reasons for slanting their recommendations a certain way. It is in their best interests to remain perpetually bullish, as they maximize their revenues when the public is in a buying mood. Because bear markets tend to hit their bottom lines hard, many firms all but disbelieve them.

Given that there are so many potential conflicts of interest in the financial advice industry, how can the best sources be identified? Part of the answer is contained within the question: one should only consider sources that have been designed to eliminate potential conflicts of interest. Once you can be sure that the analysis and research provided by a given source are truly objective, you can evaluate it further based on performance. Therefore, the important characteristics of an effective service are designed integrity and demonstrated performance. At PMI, it is our mission to provide both.

Designed Integrity

When this service was created, a great deal of thought was put into eliminating conflicts of interests. The goal was to align our interests with those of our subscribers as closely as possible, leaving absolutely no potential for us to ever profit at your expense. We designed this principle into our charter by setting forth the following rules:

PMI Codes of Conduct

  • We will never provide recommendations on individual stocks.
  • Our compensation is restricted to advertising and subscription revenues. We will never accept any form of compensation from an individual or organization with direct ties to the financial markets.

Because our primary source of revenue is subscription fees, we only make money if our readers profit from our analysis and advice. Thus, we have eliminated any potential conflicts of interest by linking our success directly to yours. We sink or swim, together.

Demonstrated Performance

We have spent many years developing our investment and trading strategies, ultimately basing our methodologies on the work of financial market legends such as Charles Dow, Benjamin Graham and Warren Buffet, to name but a few. We take a scientific approach to market analysis that relies on statistical modeling and we have developed software that applies our analysis process in a highly efficient, well-defined manner. By our measures, the system that we use for characterizing the markets and shaping our investment and trading decisions has been very successful over the years.

  • Market Forecasts

We provide daily forecasts for the stock market based on statistical analysis of the most likely scenarios as identified by our proprietary integration of technical and cycle analysis. Our computer models have produced highly reliable outlooks over the past 20 years, and some of the highlights are listed below.

  • In December 1999, our Secular Trend Score predicted the start of the current secular bear market in US stocks several months in advance.
  • In May 2005, our Gold Currency Index predicted a massive rally in gold one month in advance.
  • In August 2006, we predicted that the top of the US housing market was in place.
  • In July 2007, we predicted the end of the cyclical bull market in stocks from 2002 several months in advance.
  • In August 2007, our Gold Currency Index predicted a long-term breakout in gold two weeks in advance.
  • In January 2008, we identified the start of a cyclical bear market in stocks that would eventually develop into a market crash.
  • In March 2009, we predicted the start of a cyclical bull market in stocks on the day it began.
  • In September 2009, our Gold Currency Index predicted a long-term breakout in gold.
  • In April 2010, we anticipated the violent stock market correction in May 2010.
  • In September 2010, we identified the formation of a low in the stock market that was followed by a 28% rally in six months.
  • In March 2011, we anticipated the violent stock market correction in July 2011.
  • In September 2011, we predicted the development of a long-term low in the US dollar.
  • In September 2011, we predicted the start of a long-term correction in gold.
  • In October 2011, we identified the formation of a low in the stock market that was followed by a 30% rally in six months.

In every market forecast we identify two scenarios, one bullish and one bearish, along with the approximate probability of the more likely scenario, providing there is one. Assigned probability distributions for the two identified scenarios fall into four broad categories.

  • If both scenarios are equally likely, they each have about a 50% chance of occurring.
  • If one scenario is slightly more likely, it has about a 60% chance of occurring.
  • If one scenario is more likely, it has about a 70% chance of occurring.
  • Finally, a highly likely scenario is at least 80% likely to occur.

We audit our forecasting process by evaluating the result of every single outlook. At the end of each year, we undergo a performance review and provide the results to our readers. The audit procedure has demonstrated that our forecasts produce consistently reliable outlooks over the long run as shown in the following table of predicted and actual scenario probabilities.

Click here to read a sample daily market forecast.

  • Market Signals

Our cycle analysis methodology identifies turning points in all of the markets that we monitor across short-term, intermediate-term and long-term time frames. Custom indicators of our own design correctly identify 95 percent of all market turning points in real-time as they develop, while issuing false signals only 7 percent of the time. The following chart displays correctly identified turning points in the stock market during the second half of 2011.

  • Stock Market Investment Outlook

The proprietary software that we created to analyze long-term trends in the stock market has successfully identified every secular trend change since the crash in 1929 and more than 90% of the cyclical trend changes since 1940. In other words, we have correctly predicted nearly every meaningful change in stock market direction during the past 80 years. The following chart displays the last four cyclical trend signals issued by our system.

We also maintain a library of client testimonials that provides feedback from our existing subscribers.

What We Offer

At PMI, it is our goal to enable you to do the following:

  1. Understand the current state of the markets and make accurate, well-reasoned judgments about their future movements over short-term, intermediate-term and long-term time frames. We provide daily and weekly forecasts using proven computer models that base their predictions on technical and cycle analysis. Click here to read a sample market forecast. We also provide real-time notification via email and twitter of market signals that identify potentially profitable turning points, both bullish and bearish, in all of the markets that we monitor.
  2. Execute long-term trades in the S&P 500 index by identifying highly probable secular and cyclical inflection points that provide the maximum opportunity for profit with minimal risk. Our long-term signals identify highly likely turning points in the stock market secular and cyclical trends, providing maximum potential for gain with minimal accompanying risk.

Subscription Fees

$ per month with automatic renewal following a 30-day free trial period.

All first-time subscribers are provided with a 30-day free trial, enabling you to try our service risk-free during the first month. We provide a minimum of 26 updates per month (22 short-term forecasts and four intermediate-term forecasts) with proven, reliable outlooks and actionable information. We believe that if you try our service for a month, you will find it is worth every penny.

Click here to begin your free trial subscription.