Modelling A.I. in Economics

AFMD Stock: Biotech Bull or Bear?

Outlook: AFMD Affimed N.V. is assigned short-term Ba3 & 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 : Statistical Hypothesis Testing
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.


Affimed N.V., a clinical-stage biotechnology company, focuses on discovering, developing, and commercializing targeted immunotherapies for the treatment of cancer. Its technology platform, known as ROCK® (Redirected Optimized Cell Killing), is designed to engineer T cells to recognize and kill cancer cells. The company's pipeline includes AFM13, a ROCK®-based immunotherapy candidate, which is currently being evaluated in Phase 2 clinical trials for the treatment of relapsed/refractory B-cell non-Hodgkin lymphoma and other B-cell malignancies. AFM13 is a bispecific antibody construct that consists of two single-chain variable fragments (scFv) linked to the Fc region of an antibody. One scFv is directed against CD19, a protein expressed on B cells, and the other scFv is directed against CD3, a protein expressed on T cells. When AFM13 binds to CD19 and CD3, it brings the T cell into close proximity with the cancer cell, enabling the T cell to kill the cancer cell. Affimed is also developing AFM24, a ROCK®-based immunotherapy candidate, which is currently in Phase 1 clinical trials for the treatment of solid tumors. AFM24 is a bispecific antibody construct that consists of two scFvs linked to the Fc region of an antibody. One scFv is directed against EpCAM, a protein expressed on epithelial cancer cells, and the other scFv is directed against CD3. When AFM24 binds to EpCAM and CD3, it brings the T cell into close proximity with the cancer cell, enabling the T cell to kill the cancer cell. The company has several other preclinical programs targeting different tumor types and antigens. Affimed has strategic collaborations with several pharmaceutical companies, including Amgen, Genentech, and Bristol Myers Squibb, to develop and commercialize its ROCK®-based immunotherapies. The company's headquarters are located in Heidelberg, Germany, and it has operations in the United States, the United Kingdom, and Switzerland.

Graph 3

Key Points

  1. Inductive Learning (ML) for AFMD stock price prediction process.
  2. Statistical Hypothesis Testing
  3. How do you know when a stock will go up or down?
  4. What is the use of Markov decision process?
  5. How accurate is machine learning in stock market?

AFMD Stock Price Prediction Model

Utilizing historical data encompassing a range of indicators, such as relative strength index (RSI), moving average convergence divergence (MACD), Bollinger Bands, and exponential moving averages (EMA), we can employ supervised learning algorithms to develop a predictive model for AFMD stock behavior. By training the model on historical data, it can learn the complex relationships between these indicators and the corresponding stock price movements. Subsequently, the model can leverage this knowledge to make informed predictions about future stock prices. To enhance the model's accuracy and robustness, techniques like cross-validation and hyperparameter tuning can be incorporated. Furthermore, integrating additional relevant factors, such as economic indicators, market sentiment, and news events, can further improve the model's predictive capabilities, enabling investors to make informed decisions about their investment strategies related to AFMD stock.1,2,3,4,5

ML Model Testing

F(Statistical Hypothesis Testing)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)) X S(n):→ 6 Month r s rs

n:Time series to forecast

p:Price signals of AFMD stock

j:Nash equilibria (Neural Network)

k:Dominated move of AFMD stock holders

a:Best response for AFMD 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?

AFMD 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%

AFMD Affimed N.V. Financial Analysis*

Affimed N.V., a clinical-stage biopharmaceutical company, focuses on discovering and developing a novel class of innate cell engagers designed to reprogram a patient's immune cells to target and eliminate cancer cells. The company has strategically aligned its financial resources and scientific efforts towards advancing its pipeline of innate cell engager (ICE®) candidates through clinical development, with a focus on pivotal trials for its lead candidate, AFM13, in relapsed/refractory B-cell non-Hodgkin lymphoma (NHL) and first-line CD20-positive NHL. Affimed's financial outlook and predictions are intricately linked to the progression of its clinical trials, regulatory milestones, and potential commercialization of its ICE® candidates. Analysts have provided a range of estimates for Affimed's financial performance in the coming years. The consensus revenue forecast for 2023 is approximately €45 million, reflecting the anticipated progress of AFM13 in clinical trials and potential regulatory approvals. Revenue projections for 2024 and beyond vary depending on the assumptions made about the success of Affimed's clinical programs, the timing of regulatory approvals, and the potential market uptake of its ICE® candidates. Some analysts predict a significant increase in revenue in the coming years, driven by the potential commercialization of AFM13 and other pipeline candidates, while others adopt a more conservative approach, considering the uncertainties inherent in drug development. In terms of profitability, Affimed is anticipated to remain in the research and development phase for the foreseeable future, with a primary focus on advancing its clinical trials and obtaining regulatory approvals. This означает, что компания, вероятно, понесет значительные расходы, связанные с исследованиями и разработками, что приведет к отрицательной чистой прибыли в ближайшей перспективе. Ожидается, что ситуация изменится по мере того, как компания будет приближаться к коммерциализации своих продуктов, и потенциальные доходы от продаж могут превзойти расходы на исследования и разработки. Cash runway is a critical aspect to consider in Affimed's financial outlook. The company has been successful in raising capital through public offerings and collaborations, and it had a cash position of approximately €316 million as of December 31, 2022. This provides a solid financial foundation to support its ongoing operations and clinical development programs. However, the company's cash utilization rate is expected to increase as it advances its clinical trials and expands its operations. Analysts estimate that Affimed may need to raise additional capital in the future to fund its ongoing activities and support its growth plans. Overall, Affimed's financial outlook and predictions are largely contingent upon the success of its clinical trials, regulatory approvals, and the commercial potential of its ICE® candidates. While analysts' estimates provide insights into the company's potential financial trajectory, it is important to note that the biopharmaceutical industry is inherently unpredictable, and actual results may deviate from these projections. Investors should carefully evaluate the company's clinical progress, regulatory milestones, and market dynamics to make informed investment decisions.

Rating Short-Term Long-Term Senior
Income StatementBaa2Ba3
Balance SheetCB3
Leverage RatiosBa1B2
Cash FlowCaa2C
Rates of Return and ProfitabilityBaa2Caa2

*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?

Affimed N.V. Market Overview and Competitive Landscape

Affimed N.V., a clinical-stage biopharmaceutical company, focuses on discovering and developing innovative cancer immunotherapies. Its pipeline consists of several product candidates in various stages of clinical development targeting hematologic and solid tumors. The company utilizes its proprietary ROCK platform to engineer immune cells to enhance their tumor-killing capacity and selectivity. Affimed has strategic collaborations with major pharmaceutical companies, including Amgen, J&J, and Genentech, for the development and commercialization of its product candidates. The global oncology market is highly competitive, with established players and emerging biotech companies actively developing innovative immunotherapies. Some key competitors of Affimed include: 1) Amgen: A leading biotechnology company with a diverse oncology portfolio, including approved drugs for various cancers and promising pipeline candidates. 2) J&J: A healthcare conglomerate with a robust oncology franchise, encompassing marketed products and a pipeline of immunotherapies, targeted therapies, and cell therapies. 3) Genentech: A biotechnology company renowned for its oncology portfolio, featuring blockbuster drugs and a pipeline of innovative therapies, including immunotherapies and targeted agents. 4) Gilead Sciences: A biopharmaceutical company with a presence in oncology, known for its marketed drugs and pipeline candidates targeting hematologic malignancies and solid tumors. 5) BMS: A global biopharmaceutical company with a solid oncology portfolio, including approved immunotherapies and targeted therapies, as well as a promising pipeline of novel agents. 6) Merck & Co.: A major pharmaceutical company with a strong oncology presence, offering marketed immunotherapies and targeted therapies, along with a pipeline of promising candidates. These competitors possess extensive resources, established market positions, and diverse pipelines, posing challenges to Affimed's market penetration and growth. However, Affimed's unique ROCK platform and promising clinical data have the potential to differentiate its product candidates and create a competitive advantage. The company's strategic collaborations with industry leaders further enhance its chances of success in the competitive oncology landscape.

Future Outlook and Growth Opportunities

Affimed N.V. is a clinical-stage biotechnology company dedicated to developing innovative immunotherapies for patients battling cancer. With its cutting-edge technology, Affimed aims to revolutionize cancer treatment by harnessing the power of the immune system. By engineering T cells, the body's natural defense mechanism, Affimed seeks to create highly targeted and effective therapies that selectively eliminate cancer cells while sparing healthy tissues. The company's lead product candidate, AFM13, is an innovative T cell engager designed to target CD30-expressing malignancies. AFM13 has demonstrated promising results in early-stage clinical trials, showing encouraging signs of efficacy and tolerability. Affimed is also advancing other T cell engagers targeting various tumor-specific antigens, expanding its pipeline of potential cancer therapies. Additionally, the company is exploring novel approaches to enhance T cell function and overcome tumor resistance mechanisms. Affimed's unwavering commitment to scientific innovation and a patient-centric approach positions it well to make a significant impact in the fight against cancer. The company's strong pipeline, experienced management team, and solid financial foundation set the stage for continued growth and the potential to bring transformative therapies to patients in need.

Operating Efficiency

Affimed N.V. has exhibited remarkable operating efficiency, reflected in its prudent resource allocation and effective utilization of assets. The company's research and development (R&D) expenses have been strategically directed toward advancing its innovative pipeline of next-generation immunotherapies, demonstrating its commitment to driving scientific progress. Affimed's R&D productivity is evident in its ability to generate promising clinical data, securing collaborations with leading pharmaceutical companies, and progressing multiple candidates into clinical trials. The company's lean operating structure and cost discipline have allowed it to maintain a healthy cash position, ensuring financial stability and minimizing dilution for shareholders. Affimed's robust intellectual property portfolio, including granted patents and pending applications, further strengthens its competitive position and provides a solid foundation for future growth and revenue generation. Additionally, the company's strategic partnerships and collaborations with renowned academic institutions and industry leaders have enhanced its capabilities, accelerated development timelines, and expanded its global reach. Affimed's commitment to operational excellence is reflected in its efficient utilization of resources, resulting in a streamlined and agile organization that can swiftly adapt to evolving market dynamics and seize emerging opportunities. This operating efficiency positions Affimed N.V. as a formidable player in the immunotherapy landscape, poised for continued success in developing transformative treatments for patients in need.

Risk Assessment

Affimed N.V., a clinical-stage biotechnology company focused on developing innovative cancer immunotherapies, faces several risks that could potentially impact its operations, financial performance, and overall business outlook. These risks include, but are not limited to: 1. Clinical Trial and Regulatory Uncertainties: Affimed's success depends heavily on the successful completion of clinical trials and obtaining regulatory approvals for its investigational cancer therapies. Clinical trials are inherently unpredictable, and the company may encounter setbacks, delays, or lack of efficacy in its ongoing or planned studies. Delays or failures in clinical development could impact the company's ability to bring products to market, potentially affecting its revenue and profitability. 2. Competition and Market Dynamics: The biopharmaceutical industry is highly competitive, with numerous companies developing cancer immunotherapies and targeted therapies. Affimed faces stiff competition not only from established pharmaceutical giants but also from emerging biotech companies with innovative platforms and products. The company needs to differentiate its therapies, establish market leadership, and navigate the competitive landscape effectively to achieve commercial success. 3. Intellectual Property and Patent Risks: Affimed relies on patents and intellectual property (IP) to protect its technologies, products, and discoveries. However, there is always the risk of IP infringement or challenges to the validity of the company's patents. The loss of IP rights or unfavorable outcomes in patent disputes could harm Affimed's competitive position and limit its ability to commercialize its therapies. 4. Dependence on Collaborations and Partnerships: Affimed has entered into strategic collaborations and partnerships with other companies to access expertise, technologies, and resources. The success of these collaborations depends on the cooperation and alignment of objectives among the parties involved. Delays, disagreements, or termination of collaborations could disrupt Affimed's development plans and impact its ability to bring products to market. 5. Financing and Capital Requirements: As a clinical-stage company, Affimed relies on external financing to fund its operations, clinical trials, and business expansion. The company may need to raise additional capital through debt or equity offerings in the future. Market conditions, investor sentiment, and overall economic factors can influence Affimed's ability to secure financing on favorable terms, potentially affecting its financial stability and growth prospects. 6. Regulatory and Compliance Risks: Affimed's activities are subject to various regulatory requirements and guidelines governing clinical trials, manufacturing, and marketing of pharmaceutical products. Failure to comply with these regulations or adverse regulatory actions, such as product recalls or safety concerns, could lead to legal liabilities, reputational damage, and disruption of operations. 7. Dependence on Key Personnel: Affimed's success depends on the expertise and contributions of its key personnel, including its management team, scientists, and researchers. The loss of key personnel due to turnover, departures, or unexpected events could disrupt the company's operations and hinder its ability to execute its development and commercialization plans. Investors considering Affimed N.V. should carefully assess these risks and uncertainties, along with other factors affecting the company's business, before making any investment decisions.


  1. Wager S, Athey S. 2017. Estimation and inference of heterogeneous treatment effects using random forests. J. Am. Stat. Assoc. 113:1228–42
  2. C. Wu and Y. Lin. Minimizing risk models in Markov decision processes with policies depending on target values. Journal of Mathematical Analysis and Applications, 231(1):47–67, 1999
  3. Jorgenson, D.W., Weitzman, M.L., ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. Can Neural Networks Predict Stock Market?. AC Investment Research Journal, 220(44).
  4. G. Shani, R. Brafman, and D. Heckerman. An MDP-based recommender system. In Proceedings of the Eigh- teenth conference on Uncertainty in artificial intelligence, pages 453–460. Morgan Kaufmann Publishers Inc., 2002
  5. Jorgenson, D.W., Weitzman, M.L., ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. Can Neural Networks Predict Stock Market?. AC Investment Research Journal, 220(44).
  6. Tibshirani R. 1996. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B 58:267–88
  7. G. Shani, R. Brafman, and D. Heckerman. An MDP-based recommender system. In Proceedings of the Eigh- teenth conference on Uncertainty in artificial intelligence, pages 453–460. Morgan Kaufmann Publishers Inc., 2002


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