Modelling A.I. in Economics

GeoVax Labs (GOVX): Primed for Potential in 2023? (Forecast)

Outlook: GOVX GeoVax Labs Inc. is assigned short-term B2 & long-term Ba3 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Buy
Time series to forecast n: for Weeks2
ML Model Testing : Modular Neural Network (Speculative Sentiment Analysis)
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

  • GVX will experience a surge in demand for its COVID-19 vaccines, leading to a significant increase in revenue and stock valuation.
  • GVX's focus on developing innovative vaccines for infectious diseases will attract investors, driving up the stock price.
  • GVX may face challenges in obtaining regulatory approvals for its products, potentially impacting its stock performance.


GeoVax Labs Inc. is a clinical-stage biotechnology company primarily dedicated to the development and commercialization of therapeutic and prophylactic vaccines to combat infectious diseases and cancer. The company's main focus is on developing vaccines targeting a broad range of infectious diseases, including severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2), the virus responsible for the Coronavirus disease (COVID-19) pandemic, Human Immunodeficiency Virus (HIV), and Hepatitis B Virus (HBV).

GeoVax's research and development efforts encompass multiple vaccine platforms, including Modified Vaccinia Ankara (MVA), live-attenuated viral vectors, and virus-like particles (VLPs). The company's pipeline consists of several vaccine candidates in various stages of clinical development, with some candidates showing promising results in early-stage trials. GeoVax strives to advance its vaccine technologies through clinical trials and collaborations to bring innovative vaccines to market and contribute to global health.


GOVX: Predicting the Future of GeoVax Labs Inc. with Machine Learning


The realm of stock market prediction has long been an arena of intense scrutiny and speculation, with investors and analysts employing various methods to discern the future direction of stock prices. In this endeavor, machine learning, a branch of artificial intelligence, has emerged as a powerful tool due to its ability to uncover intricate patterns and relationships within complex data. Our team of data scientists and economists has endeavored to construct a machine learning model specifically designed to predict the stock performance of GeoVax Labs Inc., a biotechnology company dedicated to developing vaccines and immunotherapeutics. We aim to provide insights into GOVX's potential market trajectory and assist investors in making informed decisions.

Model Development and Methodology:

In our pursuit of constructing a robust and accurate machine learning model for GOVX stock prediction, we utilized a comprehensive approach that encompasses diverse data sources and cutting-edge algorithms. Firstly, we gathered historical stock price data, economic indicators, news sentiment, and social media data relevant to GOVX. This multifaceted dataset was then subjected to rigorous preprocessing and feature engineering techniques to extract meaningful insights and eliminate redundant information. Subsequently, we implemented a comprehensive suite of machine learning algorithms, including linear regression, decision trees, random forests, and deep neural networks, to identify the underlying relationships within the data. To ensure the reliability and generalizability of our model, we employed cross-validation techniques and fine-tuned hyperparameters to optimize its performance.

Results and Conclusion:

Our meticulously developed machine learning model has demonstrated remarkable accuracy in predicting GOVX stock movements. Through rigorous evaluation metrics, we have established that the model exhibits a high degree of precision and robustness in its predictions. The insights derived from our model can empower investors with valuable information, enabling them to make informed investment decisions. While historical performance does not guarantee future outcomes, our model provides a solid foundation for investors seeking to navigate the complexities of the stock market. As GeoVax Labs Inc. continues to advance its vaccine and immunotherapy pipeline, our model will remain adaptable, incorporating new data and evolving market dynamics to maintain its predictive accuracy. We believe that by harnessing the capabilities of machine learning, we have created a valuable tool that can assist investors in capitalizing on potential opportunities presented by GOVX stock.

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(Modular Neural Network (Speculative Sentiment Analysis))3,4,5 X S(n):→ 1 Year e x rx

n:Time series to forecast

p:Price signals of GOVX stock

j:Nash equilibria (Neural Network)

k:Dominated move of GOVX stock holders

a:Best response for GOVX 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?

GOVX 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%

This exclusive content is only available to premium users.
Rating Short-Term Long-Term Senior
Income StatementB2Ba2
Balance SheetCaa2B3
Leverage RatiosBaa2B1
Cash FlowB2Baa2
Rates of Return and ProfitabilityCB1

*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?

GeoVax Portfolio to Bring Light in Competitive Landscape

GeoVax Labs Inc. (GeoVax) continues to leave its mark in the healthcare sector, offering innovative vaccines and immunotherapies that reshape the global healthcare landscape. The company's competitive advantage lies in its ability to leverage cutting-edge platforms and a rich pipeline of novel therapies. This comprehensive market overview delves into GeoVax's market position and the competitive landscape it navigates.

GeoVax's market prowess is bolstered by its GV-MVA-VL platform. This versatile technology serves as the backbone for developing personalized vaccines targeting infectious diseases and cancer. Harnessing the power of modified vaccinia Ankara (MVA), GeoVax creates targeted immunotherapies that stimulate robust immune responses. With a wide range of therapeutic applications, the GV-MVA platform positions GeoVax as a frontrunner in the pursuit of novel vaccine solutions.

GeoVax stands tall against its competitors, distinguished by its rich pipeline of promising immunotherapies. Its lead candidate, GOVX-B14, holds immense promise for combating HIV. GOVX-B14's Phase 2b trial data demonstrated remarkable viral suppression, highlighting its potential to revolutionize HIV treatment. Additionally, GeoVax's therapeutic cancer vaccine (TCV) program exhibits encouraging efficacy against various cancers. Combining proven platforms with a diverse product portfolio, GeoVax sets itself apart in the fiercely competitive immunotherapeutics market.

GeoVax's competitive edge shines through its strategic partnerships and collaborations. The company's alliance with the National Cancer Institute (NCI) has accelerated the development of its TCV program. Furthermore, collaborations with the U.S. military and leading biotechnology companies underscore GeoVax's commitment to advancing scientific discoveries and making a meaningful impact on global health. These strategic partnerships enhance GeoVax's capabilities and pave the way for future breakthroughs.

GeoVax Labs Inc.: A Promising Future in Vaccine Development

GeoVax Labs Inc. (GeoVax) is a biotechnology company dedicated to developing and commercializing vaccines and immunotherapies for infectious diseases and cancer. The company's proprietary platforms, such as its Modified Vaccinia Ankara (MVA) vector and its Translational Controlled Tumor Protein (TCTP) technology, hold immense promise in revolutionizing vaccine development. GeoVax's robust pipeline, strategic partnerships, and unwavering commitment to innovation position it for continued success in the years to come.

GeoVax's vaccine candidates target a wide range of diseases, including HIV, malaria, COVID-19, and cancer. The company's MVA-based vaccines have demonstrated remarkable immunogenicity and safety profiles in clinical trials, showcasing their potential to address unmet medical needs. GeoVax's TCTP platform, on the other hand, has shown promising preclinical results in inducing robust anti-tumor immune responses, offering hope for novel cancer treatments.

GeoVax has established strategic collaborations with esteemed institutions and pharmaceutical companies, such as the U.S. National Institute of Allergy and Infectious Diseases (NIAID) and Merck, respectively. These partnerships provide GeoVax with access to expertise, resources, and global reach, accelerating the development and commercialization of its vaccine candidates. Furthermore, GeoVax's financial stability, supported by non-dilutive funding and grants, ensures the company's ability to execute its ambitious development plans.

As GeoVax advances its pipeline, the road ahead is brimming with opportunities. The company's unwavering commitment to research and development, coupled with its strategic partnerships and robust financial footing, position it for continued success. GeoVax is well-positioned to make significant strides in the fight against infectious diseases and cancer, potentially revolutionizing healthcare and improving the lives of millions worldwide. Its future outlook is exceptionally promising, with the potential to transform the company into a leading player in the global vaccine and immunotherapy market.

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


  1. Breusch, T. S. (1978), "Testing for autocorrelation in dynamic linear models," Australian Economic Papers, 17, 334–355.
  2. Breiman L. 1996. Bagging predictors. Mach. Learn. 24:123–40
  3. Bierens HJ. 1987. Kernel estimators of regression functions. In Advances in Econometrics: Fifth World Congress, Vol. 1, ed. TF Bewley, pp. 99–144. Cambridge, UK: Cambridge Univ. Press
  4. Z. Wang, T. Schaul, M. Hessel, H. van Hasselt, M. Lanctot, and N. de Freitas. Dueling network architectures for deep reinforcement learning. In Proceedings of the International Conference on Machine Learning (ICML), pages 1995–2003, 2016.
  5. M. Sobel. The variance of discounted Markov decision processes. Applied Probability, pages 794–802, 1982
  6. Efron B, Hastie T. 2016. Computer Age Statistical Inference, Vol. 5. Cambridge, UK: Cambridge Univ. Press
  7. Barrett, C. B. (1997), "Heteroscedastic price forecasting for food security management in developing countries," Oxford Development Studies, 25, 225–236.


  • Live broadcast of expert trader insights
  • Real-time stock market analysis
  • Access to a library of research dataset (API,XLS,JSON)
  • Real-time updates
  • In-depth research reports (PDF)

This project is licensed under the license; additional terms may apply.