What was the last settlement price for Soybeans (ZS=F)?

The last settlement price for Soybeans (ZS=F) was 1,137.50 at 19:19 UTC on February 20, 2026.

What are the main drivers for Soybean prices?

Soybean prices are heavily driven by weather patterns in core growing regions, export pace signals, trade logistics, and broader macro risk sentiment, including currency and bond market movements.

How should traders approach Soybeans (ZS=F) next week given unconfirmed range data?

If range data remains uncertain, traders should reduce position size and treat breakouts as unconfirmed. Rely on live execution screens for immediate support and resistance, and consider invalidation if follow-through fails within one full session.

What is the primary difference between weather and policy signals in agricultural markets?

Weather signals drive immediate price reactions due to their direct impact on crops, while policy and trade flows shape the persistence and longer-term direction of prices.

Soybeans Futures: Navigating Key Levels and Macro Shifts into Next Week

Soybeans finished the week at 1,137.50, driven by positioning and macro cross-currents. We analyze key drivers, next week's levels, and scenarios for ZS=F, focusing on weather signals, policy...

Soybeans (ZS=F) concluded the week with a settlement at 1,137.50, reflecting a complex interplay of positioning and broader macro cross-currents. As we head into the next trading week, understanding the drivers behind this movement and the critical levels to watch will be paramount for traders.

Soybeans: A Week in Review and Current Snapshot

The latest available data indicates the commodity markets, much like wheat, witnessed a strong week of gains. The final settlement for ZS=F was recorded at 1,137.50 at 19:19 UTC on February 20, 2026. The intraday range at the settlement session was [INSERT RANGE], with the quote symbol being ZS=F and the currency USX. While a single dominant headline was absent, the price action suggests a mix of strategic positioning and macro influences. The ZS=F price live reflects this sentiment.

This weekend analysis focuses on the structural elements carrying into the next week, rather than immediate intraday movements. A broader market check reveals the DXY at 97.800 (-0.13%), the US 2-Year bond yield at 3.595% (unchanged), and the US 10-Year yield at 4.086% (+0.27%). The S&P 500 gained 0.69% to 6,909.51, while the CBOE Volatility Index (VIX) fell by 5.64% to 19.090.

Key Levels and Market Mechanics for Next Week

For the coming week, identifying verified intraday ranges will be crucial. Since consistent range data was not publicly available for this specific run-date, traders should use [INSERT RANGE] and live execution screens for precise support and resistance mapping. If range data remains uncertain, it's prudent to reduce position size and treat any breakouts with caution, considering them unconfirmed until further validation. In this dynamic environment, the ZS=F chart live will be a vital tool for real-time analysis. Invalidation should be process-based: if follow-through fails within one full session cycle, recalibrate risk immediately.

Agricultural price discovery is profoundly influenced by weather patterns, export volumes, and basis behavior. The market can maintain a directional bias for several sessions before rapidly repricing due to forecast revisions or logistics disruptions. A compelling framework for analysis separates the weather signal from the policy signal. Weather typically drives immediate price reactions, while policy and trade flows dictate long-term persistence. The most robust directional trends often emerge when both these vectors align. Traders looking for a comprehensive overview of soybeans price live should monitor these factors closely.

Soybeans: Understanding Directional Bias and Divergence

For Soybeans, the critical short-term question revolves around whether the current market structure confirms flat-price movement or begins to diverge. Divergence usually indicates a slower trend with an increased likelihood of false breaks. Therefore, a careful assessment of the soybeans price behavior near key levels will be essential. Monitoring the ZS=F live chart will offer insights into these movements. Given the importance of real-time data, having access to ZS=F realtime information is paramount for strategic decisions.

Event-Risk Preview and Scenarios for Next Week

Several factors will contribute to the volatility and direction of ZS=F in the upcoming week. These include:

Export pace signals and tender activity.
The next weather model runs for core growing regions.
Updates on freight and basis across major shipping corridors.
Macro risk sentiment shifts, particularly during the US handover.
Direction of the dollar and front-end yield into the next week.

Analyzing the ZS=F live rate in conjunction with these events will provide a clearer picture for informed trading.

Probability-Weighted Scenarios:

Base Case (57%): Range behavior persists into early next week amidst mixed macro inputs. This scenario assumes no single shock dominates the market. Expected response: two-way trade around known levels. Invalidation: a decisive break with broad confirmation.
Upside (23%): Constructive reopening sentiment and tighter balances lead to higher levels. This could be catalyzed by resilient demand and stable risk appetite. Expected response: resistance retest and hold. Invalidation: upside fails during the first liquid session after the open. The ZS=F price live would reflect this increased bullish sentiment.
Downside (20%): Softening demand confidence or rising policy risk could drive prices lower. Potential catalysts include a weaker growth pulse or a broader risk-off move. Expected response: support fails with a trend extension lower. Invalidation: a downside break is quickly rejected.

Risk discipline is crucial here, as the soybean market often reprices in bursts rather than smooth trends. Entries that disregard liquidity pockets can quickly lose their edge, even if the directional thesis proves correct. Position sizing and clear invalidation plans remain the practical differentiators for successful trading.

A useful test for the next session is to observe whether dip buying or rally selling emerges first after the market opens. If the initial response supports the prior move, and spreads confirm, the odds of trend continuation improve significantly. Conversely, if the initial response fades quickly, the risk of mean reversion increases. The ZS=F realtime data will be essential for identifying these initial responses.

Timing is another practical consideration. Reaction quality tends to be highest near scheduled liquidity windows and lowest during thin transitions. The same directional view can yield materially different outcomes depending on when exposure is initiated or reduced. Furthermore, cross-asset spillover effects should remain on the dashboard. Fluctuations in dollar direction, front-end rates, and equity risk appetite can rapidly alter commodity beta, even when commodity-specific news is quiet. These spillover effects often explain unexpected failed breakouts in the market.