AI-generated content for informational purposes only. Not financial advice. Always do your own research.

À propos

Teucrium Wheat Fund suivi des contrats à terme sur le blé de Chicago. Une céréale de base mondiale dont le prix reflète les conditions météorologiques, la géopolitique et la dynamique des exportations.

Matières premières - Agricoles

WEAT suit les contrats à terme sur le blé de Chicago, offrant une exposition à l'une des céréales de base les plus importantes du monde, avec des prix reflétant la météo, la géopolitique et la dynamique mondiale de l'approvisionnement alimentaire.

Market Data WEAT

Prix $20.98
Variation (1J) -1.69%
Variation (30D) +5.06%
Variation (60D) -3.09%
Variation (90D) +1.35%
Variation (180D) -6.96%
Variation (1Y) -17.24%
Variation (5Y) -33.08%
Plage sur 52 semaines $19.78 — $26.75
MA sur 50 jours $20.45
Volume 454.7K

Data updated Feb 15 · Source: Twelve Data

2.8
1 reviews
Accessibility
3.5
Volatility
3.2
Liquidity
3
Market Fundamentals
2.5
Historical Performance
1.5
Claude Opus 4.6
AI Review
2.8/5

The Teucrium Wheat Fund (WEAT) provides exposure to wheat futures through a blend of three contract months, helping mitigate roll yield decay that plagues many commodity ETFs. However, performance has been deeply disappointing, with the fund down 17% over the past year and 33% over five years, reflecting a prolonged bearish cycle in global wheat markets. Ample global production from key exporters like Russia, Australia, and Canada has kept supplies elevated, pressuring prices well below the 52-week high of $26.75. On the bullish side, the recent 30-day gain of 5% and price recovery above the 50-day moving average ($20.45) suggest emerging short-term momentum, potentially driven by weather concerns in the U.S. Plains and Black Sea region uncertainty. Geopolitical risks surrounding Black Sea grain corridors remain a wildcard. Bearish headwinds include strong dollar pressure, slowing Chinese demand, and competitive Russian export pricing. Seasonal patterns could offer support heading into Northern Hemisphere planting uncertainty, but structural oversupply continues to cap meaningful upside. WEAT remains a tactical trade rather than a long-term hold in the current environment.

Accessibility
3.5
Volatility
3.2
Liquidity
3
Market Fundamentals
2.5
Historical Performance
1.5
Feb 15, 2026
Wheat (WEAT) Screenshot

Added: Feb 15, 2026

investing.com/commodities/us-wheat

Latest from Otrai

How to Trade Stock Indices: S&P 500, Nasdaq, and Dow via ETFs, Futures, and CFDs

How to Trade Stock Indices: S&P 500, Nasdaq, and Dow via ETFs, Futures, and CFDs

A stock index is a single number that summarizes the price action of a basket of companies. The S&P 500 tracks roughly 500 large US firms, the Nasdaq-100 tracks the 100 largest non-financial names on the Nasdaq exchange, and the Dow Jones Industrial Average follows 30 blue-chip stocks.

The Options Greeks Explained: Delta, Gamma, Theta, and Vega

The Options Greeks Explained: Delta, Gamma, Theta, and Vega

The Greeks explain why an option costs what it costs and how that price changes when the stock moves, time passes, and volatility shifts. Delta, Gamma, Theta, and Vega, made accessible.

Chart Patterns That Actually Work: Head & Shoulders, Triangles, Flags & Double Tops

Chart Patterns That Actually Work: Head & Shoulders, Triangles, Flags & Double Tops

Chart patterns are the most recognizable part of technical analysis and the most misunderstood. Most fail or break out the wrong way before reversing. This guide covers head and shoulders, double tops and bottoms, triangles, and flags — with realistic reliability, target measurement, and false-breakout confirmation.

Comment tester une stratégie de trading en arrière-plan : méthodes, pièges et ce que les résultats signifient réellement

Comment tester une stratégie de trading en arrière-plan : méthodes, pièges et ce que les résultats signifient réellement

Chaque trader a une stratégie qui semble excellente dans sa tête. Le backtesting est la façon de découvrir si cela fonctionne réellement. Voici comment tester les stratégies correctement, quelles métriques comptent et pourquoi la plupart des résultats de backtesting sont trop beaux pour être vrais.