The Fiorente2 World Indices Report
#207 Includes August 2024 forecast on the US Indices using the Transit to Natal NYSE Chart
Introduction
This is the third edition of the World Indices report, first launched in June/July of this year, exclusively for Substack premium readers. It is in PDF format.
The report focuses on the main trends in the World Indices, covering the USA, UK, and European indices such as the Dutch AEX, the German DAX, and the French CAC40. Moving east from the GMT, it also includes India’s Nifty50, China’s Shanghai, Hang Seng Index (Hong Kong), Nikkei225 (Japan), and the Australian All Ordinaries Index.
In this edition of Global Indices, we will focus on identifying the primary trend following the dominant cycle. Each chart will include annotated Gann Timing lines to illustrate the overall trend direction. The report includes breakout/reversal levels. Additional overlays, such as Gann Fan timing lines, planetary aspects, and dominant cycles, are added where appropriate.
As mentioned in last weekend’s update, I have been working to improve my artificial intelligence model that uses statistics on past planetary aspects to forecast future market direction. Considering the limitations of the earlier model, including its use of polarity and valuation of various aspects, I revisited the works of the old masters and improved the model by using the NYSE natal chart as a basis. W.D. Gann, McWhirter, and many others have been known to match future price and time inflection points with planetary aspects from various natal charts or important events.
I will use this model to establish a direction bias on a month-to-month basis. Today, premium subscribers can already access the August forecast for the Nasdaq Composite, the S&P 500, and the DJIA behind the paywall. Next week, I will provide a forecast for the Nasdaq Composite, SPX, and DJIA until the end of the year as part of the Stock Market Outlook 2024. In the meantime, I will be working on similar models for all asset classes I follow, which will serve as the basis for future forecasts.