Soybeans Futures

S_1

1H

About Soybeans Futures (S_1)

Soybeans Futures, traded under the ticker S_1, represent standardized contracts for the future delivery of soybeans, a major global agricultural commodity. These futures are primarily traded on exchanges like the Chicago Board of Trade (CBOT), where they serve as a benchmark for soybean prices worldwide. Soybeans are a versatile crop used for animal feed, cooking oil, and food products, making them integral to global food supply chains. The S_1 contract allows producers, processors, and traders to hedge against price volatility or speculate on market movements, with each contract typically covering 5,000 bushels. Historically, soybean futures have been influenced by factors such as weather patterns, trade policies, and demand from key importing countries like China.

Key Characteristics

Soybeans Futures (S_1) are a commodity derivative traded on futures exchanges, with the CBOT being a primary venue. The contract size is standardized at 5,000 bushels per contract, and prices are quoted in U.S. dollars per bushel. Key specifications include delivery months such as January, March, May, July, August, September, and November. Soybeans are classified as an agricultural commodity, with global production dominated by countries like the United States, Brazil, and Argentina. The market is known for its liquidity and serves as a critical tool for price discovery in the agricultural sector.

Factors Influencing Price

Soybean futures prices are shaped by a mix of macroeconomic and sector-specific factors. Weather conditions in major producing regions, such as droughts or floods, directly impact crop yields and supply levels. Trade policies and international relations, particularly involving large importers like China, can affect demand and export volumes. Global economic trends influence consumption patterns for soy-based products, including animal feed and biofuels. Technical analysis often examines historical price patterns, support and resistance levels, and trading volumes to identify potential market movements. Additionally, factors like currency fluctuations (e.g., the U.S. dollar) and competing crops (e.g., corn) play roles in price dynamics.

Analysis Methodology

Trading Way analyzes Soybeans Futures (S_1) using AI-powered models that process historical price data, trading volumes, and relevant market indicators. The platform employs neural networks, including BiLSTM and CNN with attention mechanisms, to identify patterns and generate forecasts. Data sources include exchange-reported figures and macroeconomic datasets. These models assess probability distributions for price directions and calculate analytical levels such as entry points, take-profit, and stop-loss. It's important to note that forecasts are based on historical data and statistical models, which have inherent limitations and do not guarantee future outcomes.

Analysis on Trading Way

On Trading Way, users can access AI-driven price forecasts for Soybeans Futures (S_1), including calculated levels for entry, take-profit, and stop-loss. The platform provides interactive price charts with historical data, support and resistance levels (pivot points), and analytical signals with notification features. These tools are designed for educational purposes to help users understand market dynamics. Trading Way does not offer investment, brokerage, or advisory services, and all analytics are informational in nature.

AI Analytics

Direction
long
Confidence
73%
Analytical reports this week
3
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