Day traders and market watchers are often left wondering whether -- and by how much -- President Trump's tweets affect the market and stocks. As the president unabashedly wages trade threats and targets companies like Amazon in his Twitter feed, traders have eyed the market closely for reactions.
Now, Goldman Sachs has compiled data to pinpoint just how much tweets affect market action. Using regression analysis to test the relationship between tweets and various assets -- while controlling for the dollar and the Economic Policy Uncertainty index -- Goldman Sachs found that there wasn't much correlation between assets and tweets except for one: soybeans.
After the Trump administration imposed a 25% tariff on roughly $34 billion of Chinese goods, the Chinese government retaliated with $34 billion of US goods including soybeans. Soybean futures have plummeted to their lowest levels in decades.
The issue with soybeans, unlike many other commodities, is that supplies can not be completely rerouted and new buyers are difficult to come by, given that China is the world's largest importer of soybeans. Last year, it imported $12.4 billion worth of soybeans from the United States.
Even though China can turn to Brazil as another major producer of soybeans, its relationship with the US is big enough to make a significant impact on prices and producers. It's also big enough to be sensitive to tweets.
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.
The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an uptrend is expected.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 13 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
GS may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Momentum Indicator moved below the 0 level on September 09, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on GS as a result. In 46 of 74 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 62%.
The Moving Average Convergence Divergence Histogram (MACD) for GS turned negative on September 14, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 44 similar instances when the indicator turned negative. In 23 of the 44 cases the stock turned lower in the days that followed. This puts the odds of success at 52%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where GS 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 55%.
The Aroon Indicator for GS entered a downward trend on October 05, 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 Tickeron SMR rating for this company is 4 (best 1 - 100 worst), indicating very strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
The Tickeron Profit vs. Risk Rating rating for this company is 19 (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 86, placing this stock better than average.
The Tickeron Price Growth Rating for this company is 57 (best 1 - 100 worst), indicating steady price growth. GS’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron PE Growth Rating for this company is 64 (best 1 - 100 worst), pointing to average earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
The Tickeron Valuation Rating of 71 (best 1 - 100 worst) indicates that the company is slightly overvalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (2.432) is normal, around the industry mean (4.351). P/E Ratio (14.149) is within average values for comparable stocks, (30.023). Projected Growth (PEG Ratio) (1.133) is also within normal values, averaging (0.809). Dividend Yield (0.020) settles around the average of (0.016) among similar stocks. P/S Ratio (4.394) is also within normal values, averaging (16.763).
The Tickeron Seasonality Score of 85 (best 1 - 100 worst) indicates that the company is significantly overvalued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
a provider of investment banking, securities and asset management services
Industry InvestmentBanksBrokers