About Cycleforecasts - what we do

Accurately predicting the S&P 500 (SPX) turning points before they occur is what we do.

This is the only service that can claim to provide forecasts on precise turning points for traders focused on the S&P 500 (SPX) who want dependable and accurate information on when these reversal dates will occurr.

Our S&P 500 7 day forecasts provide to our subscribers precise knowledge of the dates within each 7 day period when the factors required are present for a reversal to occur in the S&P 500 (SPX) by decoding market cycles to identify precise reversal dates. By tracking the natural and other specific cycles recurring in the S&P 500 (SPX) this enables a trader to execute trade entries and exits with maximum precision.

Our research is based on extensive study of market cycles, historical cycles, price cycles and long-term market behaviour to determine precise daily reversals. Our research covers more than 100 years of market history and is heavily influenced by the cycle theories of WD Gann.

“Everything works according to past cycles, history repeats itself in the lives of men, nations and the stock market.” WD Gann

The service is not designed to replace a trader’s own analysis. It is intended to be used in conjunction with other technical analysis methods such as support and resistance, market structure, momentum, price cycle analysis and other indicators to determine precise trade executions on the dates of our forecasted reversals.

Guide to market cycles

Cycleforecasts research that has been conducted over many years has resulted in a method to precisely determine market reversal dates. Many years of historical data is required for this analysis to be performed and the theories of past renowned market analyst’s have been drawn upon to achieve these results. The dates of minor and intermediate reversals are predictable as recent historical data is available. Major reversals require historical data often not reliably available or accurate. However, on some occasions specific cycles do have greater effects and are noted in our forecasts.

(1) A cycle calculated from an original impulse point will radiate, at quantifiable periods, points in time that will cause markets to encounter support and resistance.

(2) These points in time can be calculated using specific time calculation methods enabling precise dates to be known in advance when these times of support and resistance will occur.

(3) On occasions, data points relied upon in our analysis that are on a non trading day, and are not a valid data point, will result in an inaccurate result.

(4) As with interim data points occurring on non trading days so can the date predicted be for a non trading day. In these cases the market reaction will occur on the trading day before or after the predicted date, such as the Friday or Monday.

(5) Other markets containing similar components will often have the same reversal dates. This will also occur in indexes and their derivatives.

(6) The magnitude of a cycle’s effect can be influenced by the position of the market or its structure, and whether a cycle is compounding an existing trend or acting against the prevailing trend. Major reversals occur at Significant Time and Price alignments. Consecutive – opposing cycles cause volatility and unclear trend direction.

(7) Unexpected significant events can cause extreme market movements that can cause a cycle failure. These events will then become data points affecting future market movements.

(8) Our analysis is based on the SPX and the DJIA, however significant movements can occur in their derivatives during out of exchange hours crossing over to the following day thereby registering a reversal point on the following day.

(9) Cycles that are responsible for single day and multi day reversals can be accurately predicted. These are within the scope of this service and are ideal for short term trading opportunities. Typically there are 2-3 trend changes each week.

(10) There are specific cycles that commence and complete major trends of years in duration such as the 2023 Low originating from over 2000 years past. Reliable information and data is not available to accurately provide forecasts for these dates. However these cycles align with the minor cycles at times of major trend changes.