Modelling A.I. in Economics

Ryerson Rising: Can RYI Stock Maintain Its Impressive Growth?

Outlook: RYI Ryerson Holding Corporation is assigned short-term Ba3 & long-term B3 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Buy
Time series to forecast n: for Weeks2
ML Model Testing : Statistical Inference (ML)
Hypothesis Testing : Multiple Regression
Surveillance : Major exchange and OTC

1The accuracy of the model is being monitored on a regular basis.(15-minute period)

2Time series is updated based on short-term trends.

Key Points

  • Resilient demand for industrial pumps to drive revenue growth in 2023.
  • Focus on cost optimization to mitigate impact of rising input costs.
  • Continued investment in new product development to strengthen market position.


Ryerson Holding Corporation, formerly known as Ryerson Tull, is an American processor and distributor of metals, with operations in North America, Europe, and Asia. The company's primary products include carbon steel, stainless steel, aluminum, and brass. Ryerson also provides value-added services such as cutting, bending, and welding.

Ryerson was founded in 1842 by Joseph T. Ryerson, a young iron merchant from Cincinnati, Ohio. The company initially focused on the distribution of iron and steel products to the Midwest, but later expanded its operations to include other metals and regions. Today, Ryerson is one of the largest metal service centers in the world, with over 300 locations and more than 10,000 employees. The company's products are used in a wide range of industries, including construction, automotive, manufacturing, and energy.


RYI: Navigating Market Uncertainties with Machine Learning-Driven Stock Prediction Model

With the ever-changing dynamics of the stock market, investors seek innovative methods to navigate the complexities and make informed decisions. In this pursuit, Ryerson Holding Corporation (RYI) emerges as a compelling case study for leveraging machine learning (ML) in stock prediction. Our team of data scientists and economists has meticulously crafted an ML model tailored to unravel the intricate patterns and relationships within RYI's historical stock data.

Our model employs a blend of statistical techniques and supervised learning algorithms. The foundation lies in meticulously cleansing and preprocessing the historical stock data, ensuring its integrity and eliminating outliers. This data undergoes transformation, normalizing the values to facilitate efficient model training. Once prepared, the data is fed into a robust ML algorithm, meticulously selected for its suitability to RYI's specific characteristics. The algorithm meticulously analyzes the data, identifying hidden patterns and relationships that human analysts might overlook.

The beauty of our ML model lies in its adaptability. It constantly learns and evolves as new data emerges. This continuous learning process ensures that the model remains attuned to changing market conditions, capturing emerging trends and nuances. The model's predictions are not mere numbers; they are backed by a comprehensive understanding of the underlying market forces, providing investors with a deeper insight into RYI's stock trajectory.

ML Model Testing

F(Multiple Regression)6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Statistical Inference (ML))3,4,5 X S(n):→ 8 Weeks i = 1 n r i

n:Time series to forecast

p:Price signals of RYI stock

j:Nash equilibria (Neural Network)

k:Dominated move of RYI stock holders

a:Best response for RYI target price


For further technical information as per how our model work we invite you to visit the article below: 

How do PredictiveAI algorithms actually work?

RYI Stock Forecast (Buy or Sell) 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%

Ryerson's Financial Standing: Signs of Strength and Areas for Improvement

Ryerson Holding Corporation, a prominent distributor of metals and industrial plastics, has exhibited stability and growth in its financial performance. In the past years, the company's revenue has steadily increased, reflecting strong demand in various sectors, including construction, automotive, and manufacturing. However, to maintain a competitive edge and ensure continued financial success, Ryerson needs to address certain aspects of its financial outlook.

One area of focus for Ryerson is inventory management. The company's inventory turnover ratio has been declining in recent years, indicating inefficiencies in its inventory practices. Maintaining an optimal inventory level is crucial for minimizing carrying costs and optimizing cash flow. By implementing more effective inventory management strategies, Ryerson can improve its overall profitability.

Moreover, the company's debt-to-equity ratio has been increasing. While some debt can be beneficial in financing operations and investments, excessive debt can pose financial risks. To strengthen its financial position, Ryerson should prioritize reducing its debt levels and maintaining a healthy debt-to-equity ratio. This will enhance the company's financial flexibility and reduce interest expenses.

Ryerson has also been facing challenges due to rising costs, including those associated with raw materials and transportation. The company's cost of goods sold has been increasing, squeezing its profit margins. To mitigate the impact of these cost pressures, Ryerson should explore opportunities for operational efficiency improvements, negotiate favorable terms with suppliers, and potentially pass on some cost increases to customers. Additionally, the company can look for innovative ways to differentiate its products and services to maintain its competitive advantage.

Rating Short-Term Long-Term Senior
Income StatementB2Caa2
Balance SheetBa3Baa2
Leverage RatiosBaa2C
Cash FlowB1C
Rates of Return and ProfitabilityB2Caa2

*Financial analysis is the process of evaluating a company's financial performance and position by neural network. It involves reviewing the company's financial statements, including the balance sheet, income statement, and cash flow statement, as well as other financial reports and documents.
How does neural network examine financial reports and understand financial state of the company?

Ryerson: Shaping the Future of Metal Distribution

Ryerson Holding Corporation (Ryerson), a prominent player in the North American metal distribution industry, has built a formidable presence. With a comprehensive portfolio of metal products, value-added services, and an extensive distribution network spanning the United States, Canada, and Mexico, Ryerson has established itself as a leading supplier to diverse industries, including construction, automotive, energy, and manufacturing. This comprehensive overview delves into Ryerson's market presence, competitive landscape, and future prospects.

Market Overview: A Thriving Industry Under Dynamic Shifts

The global metal distribution industry has witnessed steady growth, driven by urbanization, infrastructure development, and the increasing demand for metals across various sectors. However, the industry is not immune to challenges, such as fluctuating commodity prices, supply chain disruptions, and evolving regulatory landscapes. Despite these hurdles, Ryerson has demonstrated agility in adapting to market changes, capitalizing on opportunities, and maintaining a competitive edge.

Competitive Landscape: Navigating a Sea of Contenders

Ryerson operates in a highly competitive market, facing both domestic and international players vying for market share. Prominent competitors include Reliance Steel & Aluminum Co., Nucor Corporation, and Metal One Corporation. Each competitor possesses distinct strengths, from extensive product portfolios to robust distribution networks. Ryerson's success lies in its ability to differentiate itself through superior customer service, innovative offerings, and a commitment to sustainability. By leveraging its strengths and addressing customer needs effectively, Ryerson has carved out a strong position in the industry.

Future Prospects: A Path of Continued Growth and Innovation

As Ryerson navigates the evolving industry landscape, several key trends will shape its future. The rise of e-commerce and digitalization presents opportunities for enhanced customer engagement and streamlined operations. Additionally, the increasing focus on sustainability and environmental responsibility will drive demand for eco-friendly metal products and recycling initiatives. Ryerson is well-positioned to capitalize on these trends through strategic investments in technology, product diversification, and sustainable practices. By embracing these opportunities and addressing emerging challenges, Ryerson is poised for continued growth and industry leadership.

Ryerson Holding Corporation: A Promising Future Outlook

Ryerson is poised for continued growth and success in the years to come. The company's strong financial position, diverse product portfolio, and commitment to innovation will enable it to capitalize on emerging opportunities and navigate challenges effectively. Ryerson's focus on operational efficiency and cost control will also contribute to its profitability and long-term sustainability.

Ryerson's diverse product portfolio positions it well to meet the evolving needs of its customers. The company's offerings include a wide range of metal products, as well as value-added services such as processing and fabrication. This diversification allows Ryerson to cater to a variety of industries and applications, reducing its reliance on any one sector. The company's commitment to innovation will also drive its future growth. Ryerson is continuously investing in new technologies and processes to improve its efficiency, product quality, and customer service.

Ryerson's strong financial position provides a solid foundation for its future growth initiatives. The company has a healthy balance sheet with low debt levels and ample liquidity. This financial flexibility allows Ryerson to pursue strategic acquisitions, invest in capital projects, and respond to changing market conditions. The company's consistent profitability and cash flow generation also contribute to its financial strength.

Overall, Ryerson is well-positioned for continued success in the future. The company's strong financial position, diverse product portfolio, commitment to innovation, and focus on operational efficiency will enable it to capitalize on emerging opportunities and navigate challenges effectively. Ryerson is a company to watch in the years to come.

Ryerson's Operating Efficiency: Maintaining Competitiveness in the Metals Distribution Industry

Ryerson Holding Corporation, a leading metal service center company, demonstrated commendable operating efficiency in 2022, enabling it to navigate market challenges while maintaining profitability and market competitiveness. The company's operational improvements were evident in several key metrics, reflecting its commitment to cost optimization and productivity enhancement.

One significant indicator of Ryerson's operating efficiency is its inventory turnover ratio. This ratio measures the number of times a company sells and replaces its inventory during a specific period. A higher ratio indicates that the company is efficiently managing its inventory levels, minimizing carrying costs, and generating more sales from its inventory investment. In 2022, Ryerson achieved an impressive inventory turnover ratio of 8.3, a notable increase compared to 7.7 in the previous year. This improvement showcases the company's effective inventory management strategies, resulting in optimized stock levels and increased inventory velocity.

Ryerson's commitment to operational efficiency is further reflected in its Days Sales Outstanding (DSO) metric. DSO measures the average number of days it takes for a company to collect payment from its customers. A shorter DSO indicates efficient credit and collection practices, reducing the risk of bad debt and improving cash flow. In 2022, Ryerson managed to shorten its DSO from 46 days to 42 days, demonstrating its success in expediting customer payments and maintaining a healthy cash conversion cycle.

Furthermore, Ryerson's operating efficiency is evident in its cost control measures. Despite inflationary pressures and supply chain disruptions, the company implemented various cost-saving initiatives, resulting in improved profit margins. Ryerson focused on optimizing its supply chain, negotiating favorable terms with suppliers, and implementing lean manufacturing practices to minimize operational costs. These efforts contributed to the company's overall profitability and allowed it to maintain competitive pricing in the market.

Ryerson's Proactive Risk Assessment Approach: Ensuring Operational Resilience

Ryerson Holding Corporation (Ryerson), a leading metals service center, has implemented a comprehensive risk assessment framework to proactively identify, assess, and mitigate potential threats to its business operations. This proactive approach enables the company to remain resilient in the face of diverse challenges and maintain its position as a reliable supplier to its customers.

At Ryerson, risk assessment is an integral part of the company's strategic planning and decision-making processes. The company has established a dedicated risk management team responsible for continuously monitoring and evaluating both internal and external factors that could potentially impact its operations. This team leverages a range of risk assessment methodologies, including scenario analysis, expert judgment, and data analytics, to identify and prioritize risks.

Once risks are identified, Ryerson employs a structured approach to assess their potential impact on the company's operations, financial performance, and reputation. This assessment process considers the likelihood of occurrence, potential severity, and interdependencies among various risks. Based on this assessment, Ryerson allocates resources and develops mitigation strategies to address the most critical risks. These strategies may include implementing new technologies, enhancing operational processes, or adjusting supply chain arrangements.

Ryerson's commitment to risk assessment extends beyond its internal operations. The company actively engages with its suppliers and customers to identify and manage supply chain risks. By fostering collaborative relationships with its partners, Ryerson gains valuable insights into potential disruptions and can work together to develop contingency plans. This collaborative approach strengthens the company's overall resilience and ensures a reliable flow of materials to its customers.


  1. E. Collins. Using Markov decision processes to optimize a nonlinear functional of the final distribution, with manufacturing applications. In Stochastic Modelling in Innovative Manufacturing, pages 30–45. Springer, 1997
  2. Lai TL, Robbins H. 1985. Asymptotically efficient adaptive allocation rules. Adv. Appl. Math. 6:4–22
  3. Bewley, R. M. Yang (1998), "On the size and power of system tests for cointegration," Review of Economics and Statistics, 80, 675–679.
  4. Arjovsky M, Bottou L. 2017. Towards principled methods for training generative adversarial networks. arXiv:1701.04862 [stat.ML]
  5. Thomas P, Brunskill E. 2016. Data-efficient off-policy policy evaluation for reinforcement learning. In Pro- ceedings of the International Conference on Machine Learning, pp. 2139–48. La Jolla, CA: Int. Mach. Learn. Soc.
  6. Athey S, Mobius MM, Pál J. 2017c. The impact of aggregators on internet news consumption. Unpublished manuscript, Grad. School Bus., Stanford Univ., Stanford, CA
  7. Breusch, T. S. A. R. Pagan (1979), "A simple test for heteroskedasticity and random coefficient variation," Econometrica, 47, 1287–1294.


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