Amidst the ongoing Sino-American trade war, a leading gauge of U.S. manufacturing activity fell into contraction territory last month.
For the first time during U.S. President Donald Trump's tenure, the Institute for Supply Management's manufacturing index dropped to a reading of 49.1% in August - from 51.2% in July. The reading also came in lower than the 51.5% that economists had projected for August.
Any reading below the 50% level for the above-mentioned index is an indication of contraction in manufacturing activity.
Manufacturing accounts for 12% of U.S. gross domestic product (compared to consumer spending share of around 70%). The manufacturing survey should not typically signal a recession in the overall economy until readings fall below 42.9%, according to the institute.
While much of the U.S.-China tariff war narrative apparently centers around the objective of boosting U.S. industries, the decline in U.S. manufacturing activity could potentially imply headwinds to U.S. producers from rising tariff-induced costs of buying inputs/materials.
Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
Moving higher for three straight days is viewed as a bullish sign. Keep an eye on this stock for future growth. Considering data from situations where DIA advanced for three days, in 298 of 355 cases, the price rose further within the following month. The odds of a continued upward trend are 84%.
The Momentum Indicator moved above the 0 level on October 12, 2026. You may want to consider a long position or call options on DIA as a result. In 69 of 84 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 82%.
The Moving Average Convergence Divergence (MACD) for DIA just turned positive on October 07, 2026. Looking at past instances where DIA's MACD turned positive, the stock continued to rise in 41 of 51 cases over the following month. The odds of a continued upward trend are 80%.
DIA moved above its 50-day moving average on October 26, 2026 date and that indicates a change from a downward trend to an upward trend.
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 10 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where DIA declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 78%.
DIA broke above its upper Bollinger Band on October 20, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Aroon Indicator for DIA entered a downward trend on October 12, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeValue