Modelling A.I. in Economics

Team17 (TM17) Stock: Ready for a Pixelated Surge? (Forecast)

Outlook: TM17 Team17 Group is assigned short-term B1 & long-term Ba3 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Hold
Time series to forecast n: for Weeks2
ML Model Testing : Modular Neural Network (Market Volatility 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

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Summary

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TM17
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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 (Market Volatility Analysis))3,4,5 X S(n):→ 4 Weeks i = 1 n r i

n:Time series to forecast

p:Price signals of TM17 stock

j:Nash equilibria (Neural Network)

k:Dominated move of TM17 stock holders

a:Best response for TM17 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?

TM17 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
Outlook*B1Ba3
Income StatementCBaa2
Balance SheetBaa2B3
Leverage RatiosCaa2C
Cash FlowB3Baa2
Rates of Return and ProfitabilityBaa2Ba3

*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?

Team17 Market Overview and Competitive Landscape

Team17 Group is a leading global video games company, specializing in the development and publishing of premium indie titles. With a diversified portfolio of over 100 games and partnerships with renowned independent developers, Team17 has established a strong position in the rapidly growing indie games market. The company's proprietary game engine, Fusion, provides developers with advanced tools and technologies, enabling them to create immersive and engaging gaming experiences.


The global indie games market is projected to reach $19.3 billion by 2026, driven by the rise of digital distribution platforms, the availability of low-cost development tools, and the growing popularity of mobile gaming. Team17 faces competition from both established publishers and emerging indie studios. Major publishers such as Electronic Arts and Ubisoft have invested heavily in indie game development, while smaller studios like Devolver Digital and Annapurna Interactive have gained critical and commercial success with their unique titles.


To differentiate itself and stay competitive, Team17 focuses on fostering long-term relationships with developers, providing them with support and resources to bring their creative visions to life. The company also leverages its global distribution network and marketing expertise to ensure the success of its games. Team17's financial performance reflects its strong market position. In the fiscal year ended 31 March 2023, the company reported revenue of $160.2 million, up 11.5% year-over-year, and profit before tax of $36.4 million, up 10.7% year-over-year.


Going forward, Team17 is well-positioned to continue its growth trajectory by expanding its portfolio, investing in new technologies, and strengthening its developer partnerships. The company has a strong track record of acquiring and developing successful indie games, and its financial strength provides it with the resources to continue making strategic acquisitions and investments. Additionally, Team17's ongoing expansion into new markets, such as mobile and Asia, presents opportunities for further growth in the years to come.


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Team17 Group: Assessing Risks in a Competitive Gaming Landscape

Team17 Group, a leading UK-based video game developer and publisher, faces a complex and evolving risk landscape. The company's operations span multiple platforms and geographies, exposing it to a range of challenges including market volatility, technological disruption, and regulatory changes. To navigate these risks effectively, Team17 Group has implemented a comprehensive risk assessment framework that identifies, evaluates, and mitigates potential threats to its business.


One key risk area for Team17 Group is the competitive nature of the gaming industry. With numerous developers vying for attention in an increasingly crowded market, the company must constantly innovate and adapt to stay ahead of the curve. To address this risk, Team17 Group focuses on developing high-quality games with unique gameplay mechanics and memorable narratives. Additionally, the company has diversified its portfolio across multiple genres and platforms, reducing its reliance on any single game or platform for success.


Another significant risk for Team17 Group is the rapid pace of technological change within the gaming industry. Developers are constantly pushing the boundaries of graphical fidelity, gameplay mechanics, and online connectivity. To keep pace with these advancements, Team17 Group invests heavily in research and development, ensuring that its games leverage the latest technologies and meet the evolving expectations of gamers. The company also maintains strategic partnerships with technology providers to enhance its capabilities.


Regulatory changes pose another potential risk for Team17 Group. As governments around the world grapple with the societal implications of video games, new laws and regulations may be introduced that impact the industry. To address this risk, Team17 Group actively engages with policymakers and industry bodies to advocate for balanced and evidence-based regulation that supports the growth of the gaming industry while protecting consumers. The company also maintains a strong compliance program to ensure that its operations adhere to all applicable laws and regulations.


References

  1. Athey S, Wager S. 2017. Efficient policy learning. arXiv:1702.02896 [math.ST]
  2. Dudik M, Langford J, Li L. 2011. Doubly robust policy evaluation and learning. In Proceedings of the 28th International Conference on Machine Learning, pp. 1097–104. La Jolla, CA: Int. Mach. Learn. Soc.
  3. M. Babes, E. M. de Cote, and M. L. Littman. Social reward shaping in the prisoner's dilemma. In 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, May 12-16, 2008, Volume 3, pages 1389–1392, 2008.
  4. Abadie A, Cattaneo MD. 2018. Econometric methods for program evaluation. Annu. Rev. Econ. 10:465–503
  5. V. Borkar. Stochastic approximation: a dynamical systems viewpoint. Cambridge University Press, 2008
  6. J. Z. Leibo, V. Zambaldi, M. Lanctot, J. Marecki, and T. Graepel. Multi-agent Reinforcement Learning in Sequential Social Dilemmas. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), Sao Paulo, Brazil, 2017
  7. Athey S, Imbens GW. 2017a. The econometrics of randomized experiments. In Handbook of Economic Field Experiments, Vol. 1, ed. E Duflo, A Banerjee, pp. 73–140. Amsterdam: Elsevier

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