AUC Score :
Short-term Tactic1 :
Dominant Strategy :
Time series to forecast n:
ML Model Testing : Deductive Inference (ML)
Hypothesis Testing : Beta
Surveillance : Major exchange and OTC
1Short-term revised.
2Time series is updated based on short-term trends.
Key Points
This exclusive content is only available to premium users.About TR/CC CRB Soybeans Index
The TR/CC CRB Soybeans Index represents a significant benchmark for the agricultural commodities market, specifically focusing on soybeans. This index is designed to track the price movements of soybeans and related futures contracts traded on major exchanges. It serves as a vital tool for producers, traders, processors, and financial institutions to understand the prevailing market sentiment and the economic forces influencing soybean prices. Its composition typically includes a basket of actively traded soybean futures, weighted according to their market importance, providing a comprehensive overview of this key agricultural staple's performance.
The TR/CC CRB Soybeans Index is instrumental in hedging strategies, investment decisions, and in providing a general indicator of global agricultural supply and demand dynamics for soybeans. Its calculation methodology ensures that it reflects the most liquid and representative soybean contracts, offering a reliable gauge of price trends. Market participants rely on this index to make informed decisions regarding planting, hedging, and investment in the soybean sector, recognizing its role as a consistent measure of market activity and value within the broader commodity landscape.
ML Model Testing
n:Time series to forecast
p:Price signals of TR/CC CRB Soybeans index
j:Nash equilibria (Neural Network)
k:Dominated move of TR/CC CRB Soybeans index holders
a:Best response for TR/CC CRB Soybeans target price
For further technical information as per how our model work we invite you to visit the article below:
How do KappaSignal algorithms actually work?
TR/CC CRB Soybeans Index Forecast Strategic Interaction Table
Strategic Interaction Table Legend:
X axis: *Likelihood% (The higher the percentage value, the more likely the event will occur.)
Y axis: *Potential Impact% (The higher the percentage value, the more likely the price will deviate.)
Z axis (Grey to Black): *Technical Analysis%
| Rating | Short-Term | Long-Term Senior |
|---|---|---|
| Outlook | Ba2 | B2 |
| Income Statement | Baa2 | Ba3 |
| Balance Sheet | B3 | Caa2 |
| Leverage Ratios | B3 | C |
| Cash Flow | Baa2 | Caa2 |
| Rates of Return and Profitability | Baa2 | Baa2 |
*An aggregate rating for an index summarizes the overall sentiment towards the companies it includes. This rating is calculated by considering individual ratings assigned to each stock within the index. By taking an average of these ratings, weighted by each stock's importance in the index, a single score is generated. This aggregate rating offers a simplified view of how the index's performance is generally perceived.
How does neural network examine financial reports and understand financial state of the company?
References
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