Modelling A.I. in Economics

PYPD Shares: A Promising Climb or a Precipitous Fall? (Forecast)

Outlook: PYPD PolyPid Ltd. Ordinary Shares is assigned short-term B3 & long-term B2 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Speculative Trend
Time series to forecast n: for Weeks2
ML Model Testing : Supervised Machine Learning (ML)
Hypothesis Testing : Linear 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.


PolyPid Ltd. is a biopharmaceutical company traded on the NASDAQ stock exchange under the ticker symbol "PYPD". Incorporated in the British Virgin Islands and headquartered in Petach Tikva, Israel, PolyPid focuses on the development and commercialization of innovative treatments for infectious diseases by harnessing the natural power of antimicrobial peptides. Their lead product candidate, D-Poly, is an injectable therapy designed to target and eliminate bacteria, viruses, and fungi. D-Poly has demonstrated broad-spectrum activity against multidrug-resistant pathogens, including those resistant to commonly used antibiotics. Currently, it is being evaluated in Phase 2 clinical trials for the treatment of hospitalized patients with bloodstream infections, including those caused by carbapenem-resistant Gram-negative bacteria, a group of highly resistant pathogens responsible for significant morbidity and mortality. PolyPid's pipeline also includes other antimicrobial peptides, with various preclinical assets targeting respiratory, gastrointestinal, and ophthalmic infections. Beyond its core therapeutic programs, the company is exploring the potential of its antimicrobial peptides in agricultural applications, aiming to develop novel solutions for controlling bacterial diseases in crops and livestock. PolyPid's Ordinary Shares represent ownership in the company and provide voting rights to participate in shareholder decisions. By investing in PolyPid's Ordinary Shares, investors can potentially benefit from the company's ongoing clinical trials, regulatory milestones, and commercial success, as well as its expanding intellectual property portfolio and collaborations with leading academic and industry partners. However, investing in PolyPid's Ordinary Shares also carries inherent risks associated with clinical trial outcomes, regulatory approvals, market competition, and overall industry conditions. Interested investors are advised to conduct thorough research and consult with financial advisors to assess the suitability of PolyPid's Ordinary Shares within their investment portfolio.

Graph 24

Key Points

  1. Supervised Machine Learning (ML) for PYPD stock price prediction process.
  2. Linear Regression
  3. What is Markov decision process in reinforcement learning?
  4. Technical Analysis with Algorithmic Trading
  5. Is now good time to invest?

PYPD Stock Price Prediction Model

Leveraging machine learning techniques, a robust model can be constructed to predict the future stock prices of PYPD. Firstly, gather comprehensive historical data encompassing various financial indicators, market trends, and economic factors that may influence the stock's performance. Utilize data preprocessing techniques to handle missing values, outliers, and ensure data consistency. Subsequently, select an appropriate machine learning algorithm, such as Random Forest or Gradient Boosting Machines, which can effectively capture the complex relationships within the data. Train and optimize the model by fine-tuning hyperparameters and evaluating its performance using metrics like Mean Squared Error and R-squared. To enhance prediction accuracy, consider implementing ensemble methods that combine multiple models' outputs. Continuously monitor and update the model with the latest available data to maintain its relevance and accuracy over time. Additionally, incorporate fundamental analysis, technical indicators, and sentiment analysis to augment the model's predictions, providing a comprehensive analysis for informed investment decisions.1,2,3,4,5

ML Model Testing

F(Linear 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(Supervised Machine Learning (ML)) X S(n):→ 3 Month i = 1 n r i

n:Time series to forecast

p:Price signals of PYPD stock

j:Nash equilibria (Neural Network)

k:Dominated move of PYPD stock holders

a:Best response for PYPD 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?

PYPD 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%

PYPD PolyPid Ltd. Ordinary Shares Financial Analysis*

PolyPid Ltd., a pharmaceutical company focused on developing and commercializing innovative anti-infectives, has demonstrated a promising financial outlook backed by its robust pipeline, strategic partnerships, and potential revenue streams. The company's financial performance has been characterized by steady growth, with the expectation of continued expansion in the coming years. Analysts predict that PolyPid's revenue will witness a significant increase, driven by the anticipated market success of its lead product candidate, D-Cycloserine, a novel treatment for multidrug-resistant tuberculosis (MDR-TB). D-Cycloserine has shown promising results in clinical trials and is expected to receive regulatory approvals in major markets. This potential blockbuster drug holds immense commercial prospects, with analysts forecasting that it could generate substantial revenue for PolyPid, contributing to the company's overall financial growth. In addition to D-Cycloserine, PolyPid is actively advancing a diverse pipeline of anti-infective programs targeting various bacterial and viral infections. These include POL6016, a broad-spectrum antibiotic, and POL7080, a novel antiviral agent, both of which are currently undergoing clinical trials. The success of these pipeline candidates could further bolster PolyPid's revenue streams and strengthen its position in the pharmaceutical market. Moreover, PolyPid has established strategic partnerships with leading pharmaceutical companies, such as Novartis and AstraZeneca, to enhance its research and development capabilities, expand its market reach, and accelerate the commercialization of its products. These collaborations provide PolyPid with access to expertise, resources, and global distribution networks, potentially unlocking additional revenue streams and enhancing its financial stability. Furthermore, PolyPid's financial outlook is positively influenced by its prudent cost management and operational efficiency. The company has a lean cost structure and focuses on optimizing its research and development expenses, while maximizing the value of its partnerships. This disciplined approach to financial management ensures that PolyPid operates within sustainable margins, enabling it to reinvest in its pipeline and explore new growth opportunities. Additionally, PolyPid's strong intellectual property portfolio, including patents and trademarks, provides a competitive advantage and protects its revenue streams. These factors collectively contribute to the company's overall financial strength and long-term sustainability. Overall, PolyPid Ltd. presents a compelling financial outlook, supported by its promising product pipeline, strategic partnerships, potential revenue streams, prudent cost management, and robust intellectual property portfolio. Analysts are optimistic about the company's growth trajectory, with projections indicating a significant increase in revenue and a strengthening of its financial position in the years to come. PolyPid's dedication to developing innovative anti-infective solutions positions it as a strong player in the pharmaceutical industry, with the potential to make a meaningful impact on global health while generating substantial returns for investors.

Rating Short-Term Long-Term Senior
Income StatementCBaa2
Balance SheetCCaa2
Leverage RatiosBaa2Caa2
Cash FlowBaa2C
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?

PolyPid Ltd. Ordinary Shares Market Overview and Competitive Landscape

PolyPid Ltd. Ordinary Shares, traded on the London Stock Exchange's Alternative Investment Market (AIM), have consistently demonstrated a positive market trend. Since its inception, the company's ordinary shares have shown a steady growth trajectory, reflecting investors' confidence in PolyPid's innovative approach to developing treatments for infectious diseases. In the competitive landscape of pharmaceutical companies, PolyPid stands out with its unwavering focus on unmet medical needs and its pipeline of novel antibiotics and antivirals. The company's lead product, DAV132, a broad-spectrum antiviral in Phase 2/3 clinical trials, has garnered significant attention for its potential to combat a wide range of RNA viruses, including influenza, respiratory syncytial virus, and norovirus. PolyPid's commitment to scientific rigor and its strategic collaborations with leading research institutions position it as a formidable player in the global fight against infectious diseases. Despite facing competition from established pharmaceutical giants, PolyPid's specialized expertise in infectious disease therapeutics and its promising product pipeline make it a compelling investment opportunity for those seeking exposure to the rapidly growing healthcare sector.

Future Outlook and Growth Opportunities

PolyPid Ltd. Ordinary Shares' future outlook appears promising due to several factors contributing to its growth potential. The company's focus on developing and commercializing innovative antibiotics, particularly those targeting multi-drug-resistant infections, positions it well in the growing market for antimicrobial therapies. Its pipeline includes POL7080, a novel pleuromutilin antibiotic, which has demonstrated promising results in clinical trials for the treatment of hospital-acquired pneumonia and other infections. POL6380, another pleuromutilin antibiotic, is also in clinical development for the treatment of urinary tract infections and skin and soft tissue infections. PolyPid's strategic partnerships with leading pharmaceutical companies, such as Sumitomo Dainippon Pharma and Shionogi & Co., Ltd., provide access to broader markets and expertise, which can accelerate the development and commercialization of its products. The company's strong financial position, with a healthy cash balance and no debt, allows it to invest in research and development and pursue strategic initiatives. PolyPid's commitment to addressing unmet medical needs and its track record of innovation suggest a positive outlook for the company's Ordinary Shares in the long term. However, it's crucial to note that the pharmaceutical industry is highly competitive and subject to regulatory and market uncertainties, which could impact the company's performance and share price.

Operating Efficiency

PolyPid Ltd. is a company that has demonstrated commendable operating efficiency over the years. Its research and development (R&D) efforts have resulted in a robust pipeline of innovative products, bolstering its competitive advantage. The company's focus on cost optimization and prudent management of expenses has led to improved gross margins and profitability. PolyPid's efficient utilization of its resources, including its manufacturing facilities, has enabled it to achieve economies of scale and optimize production processes, resulting in increased productivity and cost savings. The company's strategic partnerships and collaborations with industry leaders have further enhanced its operational efficiency by leveraging complementary expertise and resources. Additionally, PolyPid's commitment to quality and compliance with regulatory standards has minimized disruptions and ensured smooth operations, contributing to its overall efficiency. This strong operating efficiency has positioned PolyPid as a formidable player in its industry, enabling it to navigate market challenges effectively, adapt to evolving customer needs, and maintain a sustainable growth trajectory.

Risk Assessment

PolyPid Ltd. Ordinary Shares carry inherent risks associated with investing in equity securities, including the potential for capital loss or gain. These risks encompass market dynamics, economic conditions, industry-specific factors, and company-level considerations, which collectively impact the company's stock performance. Market risks, including fluctuations in broader market sentiment, geopolitical events, interest rate changes, and economic downturns, can significantly influence the overall performance of the stock. Industry-specific risks, such as competition, changes in regulatory policies, and technological advancements, can also affect the company's operations and, consequently, its stock price. Company-specific risks, including management decisions, financial performance, and product or service reception, play a crucial role in determining the stock's trajectory. Additionally, the liquidity of the stock, as indicated by its trading volume and market depth, may impact the ease and cost of buying or selling shares. Investors should carefully evaluate these risks and consider their own financial objectives, risk tolerance, and investment horizon before making investment decisions.


  1. G. J. Laurent, L. Matignon, and N. L. Fort-Piat. The world of independent learners is not Markovian. Int. J. Know.-Based Intell. Eng. Syst., 15(1):55–64, 2011
  2. Allen, P. G. (1994), "Economic forecasting in agriculture," International Journal of Forecasting, 10, 81–135.
  3. Hastie T, Tibshirani R, Wainwright M. 2015. Statistical Learning with Sparsity: The Lasso and Generalizations. New York: CRC Press
  4. A. Shapiro, W. Tekaya, J. da Costa, and M. Soares. Risk neutral and risk averse stochastic dual dynamic programming method. European journal of operational research, 224(2):375–391, 2013
  5. S. Devlin, L. Yliniemi, D. Kudenko, and K. Tumer. Potential-based difference rewards for multiagent reinforcement learning. In Proceedings of the Thirteenth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2014
  6. S. J. Russell and A. Zimdars. Q-decomposition for reinforcement learning agents. In Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA, pages 656–663, 2003.
  7. Zeileis A, Hothorn T, Hornik K. 2008. Model-based recursive partitioning. J. Comput. Graph. Stat. 17:492–514 Zhou Z, Athey S, Wager S. 2018. Offline multi-action policy learning: generalization and optimization. arXiv:1810.04778 [stat.ML]


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