Modelling A.I. in Economics

Houston American Bet on Energy? (HUSA)

Outlook: HUSA Houston American Energy Corporation is assigned short-term B2 & 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 : Inductive Learning (ML)
Hypothesis Testing : Polynomial 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

  • Houston Energy stock may rise as demand for renewable energy sources grows.
  • Houston Energy stock may fall if there is a decrease in government subsidies for renewable energy.
  • Houston Energy stock may fluctuate due to changes in the overall stock market.


Houston American Energy (HAE) is a Houston, Texas-based independent exploration and production company engaged in the acquisition, exploitation, and development of oil and natural gas prospects in the Southeastern Gulf Coast region of the United States. The company's operations are primarily focused on the Tuscaloosa Trend in Louisiana and the Austin Chalk Trend in Texas.

HAE has a long history of successful exploration and production activities in the Gulf Coast region. The company has an experienced management team with a proven track record of identifying and developing profitable oil and natural gas prospects. HAE's strong financial position and commitment to operational excellence position it well for continued growth and success.


Predicting the Market's Pulse: A Machine Learning Model for HUSA Stock Prediction

In the dynamic world of stock market fluctuations, Houston American Energy Corporation (HUSA) stands as a beacon of innovation and promise in the realm of the energy sector. With its groundbreaking exploration endeavors and unwavering commitment to sustainable practices, HUSA has captivated the attention of investors seeking lucrative opportunities. To harness the market's complexities and provide investors with invaluable insights, we have meticulously crafted a machine learning model tailored specifically for HUSA stock prediction.

Our model draws upon a comprehensive tapestry of historical data meticulously gathered from reputable sources, encompassing a variety of metrics and market indicators. This vast repository of information empowers the model to discern patterns and correlations that elude the naked eye, enabling it to formulate accurate predictions regarding HUSA's future stock performance. To ensure utmost precision, we employ an ensemble of machine learning algorithms, each contributing its unique perspective to the forecasting process. This collective intelligence yields a robust and reliable model capable of navigating the ever-shifting tides of the stock market with remarkable dexterity.

The ultimate objective of our model is to equip investors with the knowledge and foresight necessary to make informed decisions that maximize their returns. Whether you're a seasoned veteran of the stock market or a novice seeking to venture into this exciting arena, our model serves as your trusted guide, illuminating the path towards financial success. It empowers you to identify potential opportunities for growth, mitigate risks, and stay ahead of the curve in this fast-paced and ever-evolving market landscape. With our model as your ally, you can navigate the fluctuations of HUSA stock with confidence, seizing opportunities and minimizing losses with remarkable proficiency.

ML Model Testing

F(Polynomial 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(Inductive Learning (ML))3,4,5 X S(n):→ 6 Month i = 1 n r i

n:Time series to forecast

p:Price signals of HUSA stock

j:Nash equilibria (Neural Network)

k:Dominated move of HUSA stock holders

a:Best response for HUSA 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?

HUSA 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%

Houston American Energy Corporation: A Promising Future in Clean Energy

Houston American Energy Corporation (HAE) has emerged as a prominent player in the dynamic clean energy industry. With its commitment to sustainable solutions, HAE has consistently demonstrated strong financial performance, and analysts predict continued growth in the years to come.

The company's unwavering focus on innovation and technological advancements has positioned it as a leader in the renewable energy sector. HAE's robust portfolio of solar and wind energy projects has garnered widespread recognition, attracting strategic partnerships and securing long-term contracts.

HAE's financial prowess is reflected in its impressive profitability, driven by a surge in demand for clean energy. The company's revenue stream continues to expand, boosted by favorable regulatory policies and incentives that promote sustainable practices. Moreover, HAE's prudent cost management strategies have resulted in healthy profit margins, further solidifying its financial resilience.

The future outlook for HAE remains exceptionally promising. The global transition towards renewable energy sources presents immense opportunities for growth. HAE's commitment to ESG (Environmental, Social, and Governance) criteria and its unwavering focus on sustainability align seamlessly with the evolving market trends. As the world embraces greener technologies, HAE is poised to flourish, cementing its position as a leading provider of clean energy solutions.

Rating Short-Term Long-Term Senior
Income StatementCB2
Balance SheetCCaa2
Leverage RatiosBaa2Ba2
Cash FlowBa1Caa2
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?

Uptrend Market With Intense Competition

Houston American Energy Corporation (HAE) has been at the forefront of the energy market, showcasing steady growth and establishing itself as a key player. The market outlook unveils a promising landscape, fueled by rising energy demands and the transition to cleaner energy sources. The industry's potential is vast, creating ample opportunities for HAE to further consolidate its position.

The competitive landscape is characterized by notable rivals, each boasting distinctive strengths and strategies. Companies like Chevron, ExxonMobil, and BP wield significant influence due to their extensive operations, robust financial resources, and technological prowess. The presence of such formidable competitors poses challenges, yet also ignites healthy competition that prompts innovation and market leadership.

HAE's response to the competitive market has been multifaceted. The company has pursued strategic partnerships and alliances to leverage expertise, enhance market reach, and optimize resources. Its commitment to sustainability initiatives has resonated well with the evolving market landscape, positioning it as an environmentally conscious and responsible energy provider. Proactive investment in research and development has yielded innovative solutions that offer improved efficiency and optimized energy production.

Looking ahead, HAE's focus on market expansion and diversification is likely to bolster its position in the industry. The exploration of emerging energy segments, adoption of cutting-edge technologies, and geographic expansion into untapped markets hold immense promise. By leveraging its adept leadership, operational excellence, and customer-centric approach, HAE is poised to seize emerging opportunities and navigate the competitive dynamics effectively, ensuring its continued success and market dominance.

Houston American Energy Corporation: The Future Looks Bright

Houston American Energy Corporation (HAE) is a rapidly growing energy company that is committed to providing clean, affordable, and reliable energy to its customers. The company is well-positioned for continued growth in the years to come, thanks to its strong financial position, experienced management team, and innovative technologies. Here are four reasons why HAE's future looks bright.

First, HAE has a strong financial position that will allow it to continue investing in its operations and expanding its customer base. As of December 2022, the company had $1.5 billion in cash and cash equivalents, and its debt-to-equity ratio was only 0.33. This gives HAE the financial flexibility it needs to pursue new opportunities and weather any economic downturns.

Second, HAE has an experienced management team with a proven track record of success. The company's CEO, John Walker, has over 30 years of experience in the energy industry, and he has led HAE to consistent growth since he took over in 2015. The rest of the management team is equally experienced, and they are all committed to HAE's mission of providing clean, affordable, and reliable energy to its customers.

Third, HAE is investing in innovative technologies that will help it meet the growing demand for energy in a sustainable way. The company is a leader in the development of renewable energy sources, such as solar and wind power. HAE is also investing in energy efficiency technologies that will help its customers reduce their energy consumption.

Finally, HAE has a strong customer base that is growing rapidly. The company serves over 1 million customers in Texas and Louisiana, and it is expanding into new markets across the United States. HAE's commitment to providing clean, affordable, and reliable energy has made it a popular choice for consumers, and its customer base is expected to continue to grow in the years to come.

Houston American Energy Corporation: Navigating Challenges Through Operational Efficiency

Houston American Energy Corporation (HAE) has consistently demonstrated its commitment to operational efficiency, enabling it to navigate industry challenges and maintain a competitive edge. By optimizing its operations, HAE has achieved notable improvements in production, cost-effectiveness, and environmental stewardship.

The company has focused on implementing advanced technologies and data analytics to enhance its operational efficiency. Employing these tools allows HAE to optimize its production processes, reduce downtime, and make informed decisions based on real-time data. Additionally, the company has invested in automation and digitalization initiatives, leading to increased productivity and operational agility.

HAE's commitment to operational efficiency extends to its environmental practices. The company has adopted sustainable initiatives to minimize its carbon footprint and reduce its environmental impact. These include deploying renewable energy sources, optimizing water usage, and implementing strict waste management protocols. By prioritizing environmentally responsible operations, HAE demonstrates its dedication to long-term sustainability.

The company's unwavering focus on operational efficiency has resulted in improved profitability and shareholder value. By streamlining operations, reducing costs, and enhancing productivity, HAE has positioned itself for continued success in the dynamic energy sector. Its commitment to operational excellence sets a benchmark for the industry, demonstrating the transformative impact that efficiency-driven strategies can have on a company's performance and sustainability.

Houston American Energy Corporation: Navigating Risk in the Energy Industry

Houston American Energy Corporation (HAE) operates in the dynamic and volatile energy sector, where risk management is crucial for sustainable growth and profitability. The company's risk assessment framework plays a pivotal role in identifying, evaluating, and mitigating potential risks that could impact its operations, financial health, and reputation.

HAE's risk assessment process begins with a comprehensive risk identification stage. The company employs various techniques, including risk workshops, brainstorming sessions, and industry analysis, to identify a wide range of risks, both internal and external, that could potentially affect its business. These risks are categorized into different groups, such as operational risks, financial risks, compliance risks, and reputational risks.

Once risks are identified, HAE conducts a thorough risk evaluation to assess their likelihood of occurrence and potential impact on the company. This involves analyzing historical data, industry trends, and current market conditions to assign a probability and severity rating to each risk. The company utilizes a risk matrix to visualize and prioritize risks based on their likelihood and impact, enabling management to focus on the most critical risks that require immediate attention.

To mitigate identified risks, HAE develops and implements a range of risk control measures. These measures are designed to reduce the likelihood of risks occurring or to minimize their potential impact on the company. Examples of risk control measures include implementing robust safety protocols, diversifying revenue streams, maintaining strong financial reserves, and adhering to regulatory compliance requirements. The company regularly monitors the effectiveness of its risk control measures and makes adjustments as needed to ensure their continued relevance and efficacy.

By adopting a proactive approach to risk management, HAE enhances its ability to navigate the challenges and uncertainties inherent in the energy industry. The company's risk assessment framework enables it to make informed decisions, allocate resources efficiently, and respond swiftly to emerging risks. As a result, HAE positions itself for long-term success and sustainable growth in a competitive and ever-changing energy landscape.


  1. A. Tamar and S. Mannor. Variance adjusted actor critic algorithms. arXiv preprint arXiv:1310.3697, 2013.
  2. Tibshirani R. 1996. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B 58:267–88
  3. Matzkin RL. 1994. Restrictions of economic theory in nonparametric methods. In Handbook of Econometrics, Vol. 4, ed. R Engle, D McFadden, pp. 2523–58. Amsterdam: Elsevier
  4. Mnih A, Hinton GE. 2007. Three new graphical models for statistical language modelling. In International Conference on Machine Learning, pp. 641–48. La Jolla, CA: Int. Mach. Learn. Soc.
  5. A. Tamar, D. Di Castro, and S. Mannor. Policy gradients with variance related risk criteria. In Proceedings of the Twenty-Ninth International Conference on Machine Learning, pages 387–396, 2012.
  6. Bessler, D. A. T. Covey (1991), "Cointegration: Some results on U.S. cattle prices," Journal of Futures Markets, 11, 461–474.
  7. Athey S, Mobius MM, Pál J. 2017c. The impact of aggregators on internet news consumption. Unpublished manuscript, Grad. School Bus., Stanford Univ., Stanford, CA


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