President Donald Trump might be ready with an additional list of $267 billion of Chinese goods to impose tariffs on.
On top of the $200 billion of Chinese goods that Trump has threatened to tax if he feels necessary, he told reporters Friday on Air Force One, ““I hate to do this, but behind that there is another $267 billion ready to go on short notice if I want.” The U.S.imported $505 billion of Chinese products in 2017, according to Census Bureau data. That means, if all of the tariff threats are actually implemented, the whole of Chinese imports into the nation would be hit by tariffs.
Since July, the U.S. has imposed levies on $50 billion of Chinese exports, which were retaliated by Beijing with their own tariffs on U.S. goods.
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.
DIA saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on August 17, 2026. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 53 instances where the indicator turned negative. In 42 of the 53 cases the stock moved lower in the days that followed. This puts the odds of a downward move at 79%.
The 10-day RSI Indicator for DIA moved out of overbought territory on August 06, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 46 similar instances where the indicator moved out of overbought territory. In 33 of the 46 cases, the stock moved lower in the following days. This puts the odds of a move lower at 72%.
The Momentum Indicator moved below the 0 level on September 08, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on DIA as a result. In 61 of 85 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 72%.
DIA moved below its 50-day moving average on September 08, 2026 date and that indicates a change from an upward trend to a downward trend.
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 76%.
The Aroon Indicator for DIA entered a downward trend on September 11, 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 Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.
Following a +1.74% 3-day Advance, the price is estimated to grow further. Considering data from situations where DIA advanced for three days, in 307 of 360 cases, the price rose further within the following month. The odds of a continued upward trend are 85%.
DIA may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeValue