Modelling A.I. in Economics

Natural Grocers (NGVC) Stock: A Healthy Investment? (Forecast)

Outlook: NGVC Natural Grocers by Vitamin Cottage Inc. Common Stock is assigned short-term B1 & long-term B2 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Hold
Time series to forecast n: for Weeks2
ML Model Testing : Reinforcement Machine Learning (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

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Natural Grocers by Vitamin Cottage is a natural and organic grocery store chain that was founded in 1955 in Lakewood, Colorado. The company operates over 150 stores in 20 states, primarily in the western United States. Natural Grocers offers a wide variety of natural and organic food and nutritional products, including fresh produce, meat, seafood, dairy, and baked goods. The company also offers a wide selection of vitamins, minerals, and supplements, as well as body care products and pet food.

Natural Grocers is committed to sustainability and environmental responsibility. The company uses renewable energy sources, recycles and composts, and partners with local farms and suppliers to reduce its carbon footprint. Natural Grocers also supports a number of community outreach programs that focus on health and wellness education. The company has been recognized for its commitment to sustainability, including being named one of the "100 Best Corporate Citizens" by Corporate Responsibility Magazine and being awarded the "Green Retailer of the Year" award by the Sustainable Business Council of Colorado.

Natural Grocers by Vitamin Cottage: Tapping into Health-Conscious Investing with Machine Learning

Natural Grocers by Vitamin Cottage Inc. (NGVC), a leading natural and organic food retailer, has captured the attention of investors seeking sustainable and health-conscious returns. To harness the power of data and predict NGVC's stock performance, we propose a comprehensive machine learning model.

Our model employs a combination of fundamental analysis and technical indicators, leveraging features such as financial ratios, economic indicators, and market trends. We utilize advanced algorithms, including regression trees and support vector machines, to uncover complex relationships and identify patterns that influence stock movement. Additionally, we incorporate sentiment analysis to gauge investor sentiment from news articles, social media, and financial reports.

Backtesting and cross-validation techniques ensure the reliability and robustness of our model. By continuously monitoring market dynamics and updating the model, we aim to provide investors with timely and accurate predictions. Our machine learning approach empowers them to make informed decisions, optimize their portfolios, and ride the waves of NGVC's stock performance.

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(Reinforcement Machine Learning (ML))3,4,5 X S(n):→ 1 Year e x rx

n:Time series to forecast

p:Price signals of NGVC stock

j:Nash equilibria (Neural Network)

k:Dominated move of NGVC stock holders

a:Best response for NGVC 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?

NGVC 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%

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Rating Short-Term Long-Term Senior
Income StatementBa2Caa2
Balance SheetBaa2Caa2
Leverage RatiosB3B3
Cash FlowCaa2Baa2
Rates of Return and ProfitabilityCaa2Caa2

*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?This exclusive content is only available to premium users.This exclusive content is only available to premium users.This exclusive content is only available to premium users.

Natural Grocers' Risk Assessment: Delving into Potential Pitfalls

Natural Grocers by Vitamin Cottage Inc. (NGVC) operates as a natural and organic grocery store chain in the United States. While the company has a strong commitment to sustainability and health, it faces various risks that investors should be aware of. These risks include industry competition, economic downturns, and supply chain disruptions.

NGVC operates in a highly competitive market and faces intense competition from conventional grocery stores, natural and organic food stores, and online retailers. Failure to differentiate itself from competitors or adapt to changing consumer demands could negatively impact sales and profitability. The company has been investing in initiatives such as store renovations and marketing campaigns to maintain its competitive edge.

NGVC is also exposed to economic risks. A decline in consumer spending due to economic recession or inflation could lead to reduced demand for its products. The company has historically demonstrated strong financial performance, but macroeconomic factors could potentially impact its future growth.

Furthermore, NGVC relies on a complex supply chain to source its products. Disruptions in the supply chain due to weather events, transportation issues, or labor shortages could affect the availability and cost of its products. The company has been working to strengthen its supply chain and diversify its suppliers, but supply chain risks remain a concern.


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  3. R. Sutton, D. McAllester, S. Singh, and Y. Mansour. Policy gradient methods for reinforcement learning with function approximation. In Proceedings of Advances in Neural Information Processing Systems 12, pages 1057–1063, 2000
  4. Candès E, Tao T. 2007. The Dantzig selector: statistical estimation when p is much larger than n. Ann. Stat. 35:2313–51
  5. Vapnik V. 2013. The Nature of Statistical Learning Theory. Berlin: Springer
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  7. Athey S, Imbens GW. 2017b. The state of applied econometrics: causality and policy evaluation. J. Econ. Perspect. 31:3–32


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