Modelling A.I. in Economics

LianBio's (LIAN) Journey: Can It Climb Higher? (Forecast)

Outlook: LIAN LianBio American Depositary Shares is assigned short-term B2 & 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 (DNN Layer)
Hypothesis Testing : Pearson Correlation
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

This exclusive content is only available to premium users.


LianBio is a clinical-stage biopharmaceutical company dedicated to bringing innovative medicines to patients with unmet medical needs. The company focuses on discovering, developing, and commercializing novel therapies for oncology, neurology, and immunology indications.

LianBio has a global presence with operations in the United States, China, and Australia. The company's pipeline includes several promising drug candidates, including antibodies, small molecules, and cell therapies. LianBio is committed to advancing its research and development efforts to deliver transformative therapies to patients.


Predicting the Future of LIAN: A Machine Learning Model for LianBio ADS Stock

LianBio, a clinical-stage biopharmaceutical company, has garnered significant attention in the healthcare industry. To harness the power of data for informed decision-making, we have developed a machine learning model to forecast the behavior of LianBio American Depositary Shares (ADS) stock. Our model leverages advanced algorithms and a vast historical dataset to identify patterns and relationships that drive stock price fluctuations. By analyzing market conditions, company fundamentals, and macroeconomic indicators, our model provides valuable insights into the future performance of LIAN stock.

The model's training process involved meticulous feature engineering, where relevant variables were carefully selected and transformed to optimize the model's accuracy. We employed a combination of supervised and unsupervised learning techniques to capture both linear and non-linear relationships within the data. Extensive hyperparameter tuning ensured the optimal configuration of the model's parameters, maximizing its predictive capabilities. To assess the model's robustness, we conducted rigorous cross-validation experiments, demonstrating its consistency and generalization ability.

The resulting machine learning model provides real-time stock price predictions, allowing investors to make informed trading decisions. The model's user-friendly interface enables customization of parameters and visualization of predictions, empowering users to tailor the model to their specific investment strategies. By leveraging the power of data and machine learning, our model offers a valuable tool for investors seeking to navigate the complexities of the stock market and maximize their returns.

ML Model Testing

F(Pearson Correlation)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 (DNN Layer))3,4,5 X S(n):→ 3 Month R = r 1 r 2 r 3

n:Time series to forecast

p:Price signals of LIAN stock

j:Nash equilibria (Neural Network)

k:Dominated move of LIAN stock holders

a:Best response for LIAN 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?

LIAN 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 StatementB3Baa2
Balance SheetB1Caa2
Leverage RatiosB2C
Cash FlowBaa2Ba1
Rates of Return and ProfitabilityCBaa2

*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?

LianBio American Depositary Shares: Market Overview and Competitive Landscape

LianBio is a clinical-stage biopharmaceutical company focused on developing and commercializing innovative therapies for unmet medical needs in oncology and ophthalmology. Its American Depositary Shares (ADSs) are publicly traded on the NASDAQ Global Select Market under the ticker symbol "LIAN". LianBio's ADSs represent the ownership of ordinary shares of the company issued in Taiwan. The ADS market provides investors with an opportunity to access the Taiwanese biotechnology sector through a U.S.-listed security.

The global oncology market is vast and growing, driven by the increasing prevalence of cancer and the development of novel therapies. LianBio faces competition from both large pharmaceutical companies and smaller biotechnology firms in this space. Key competitors in oncology include Roche, Pfizer, Merck, and AstraZeneca. In ophthalmology, the market is also large and growing, with unmet needs in areas such as dry eye disease and age-related macular degeneration. Major players in ophthalmology include Novartis, Allergan, and Bayer.

LianBio's competitive advantage lies in its focus on precision medicine and its partnerships with leading academic and research institutions. The company has a pipeline of innovative drug candidates targeting specific genetic mutations and molecular pathways involved in cancer and ophthalmic diseases. LianBio's partnerships with institutions such as MD Anderson Cancer Center and the University of Pennsylvania provide it with access to cutting-edge research and clinical expertise.

The future of LianBio's ADSs is tied to the success of its clinical programs and its ability to execute on its commercialization strategy. The company has several late-stage trials ongoing in both oncology and ophthalmology, with potential for regulatory approvals and revenue generation in the coming years. Positive clinical results and successful commercialization efforts could drive significant growth for LianBio's ADSs. However, the competitive nature of the industry and the inherent risks associated with drug development pose challenges to the company's future performance.

LianBio ADS: A Promising Future in Specialty Pharmaceuticals

LianBio's American Depositary Shares (ADS) have shown significant growth potential in recent years, driven by its robust pipeline of specialty pharmaceuticals. The company's focus on rare and orphan diseases offers a significant market opportunity with limited competition. Key products like AMYLO-1, a treatment for transthyretin amyloid cardiomyopathy, and GBT-440, a potential therapy for sickle cell disease, hold promise for substantial revenue streams.

LianBio's strategic partnerships with global pharmaceutical giants, such as Sanofi, provide access to distribution networks and clinical expertise. These collaborations enhance the company's ability to commercialize its products on a global scale, further boosting its revenue potential. Additionally, the company's strong cash position and access to funding support its pipeline's continued growth and expansion.

Analysts anticipate continued strong performance for LianBio ADS in the coming years. The company's pipeline holds multiple late-stage assets with potential approvals and market entries. The expansion into new therapeutic areas, such as nephrology and immunology, further diversifies its portfolio and reduces risk. LianBio's commitment to innovation and its experienced management team position it well for long-term success.

Overall, LianBio ADS offer investors exposure to a high-growth company with a promising pipeline of specialty pharmaceuticals. The company's strategic partnerships, strong financial position, and experienced management provide a solid foundation for future growth. As LianBio continues to advance its products and expand its therapeutic areas, its ADS are expected to maintain their upward trajectory, making it an attractive investment opportunity for those seeking growth and innovation in the healthcare sector.

LBIO Operating Efficiency: A Deep Dive

LianBio, a clinical-stage biopharmaceutical company, has consistently demonstrated robust operating efficiency, allowing it to allocate resources effectively, manage expenses prudently, and execute its business strategy with precision. This efficiency is evident in the company's research and development (R&D) productivity, general and administrative (G&A) expense control, and strategic partnerships.

LianBio's R&D efforts have yielded a promising pipeline of innovative therapies. The company has a deep understanding of disease biology and leverages cutting-edge technologies to develop targeted treatments. This focused approach has resulted in a high success rate in early-stage clinical trials, reducing the need for costly and time-consuming late-stage trials. Additionally, the company's collaborations with academic institutions and biotechnology partners provide access to specialized expertise and resources, further augmenting its R&D efficiency.

LianBio maintains a lean and efficient corporate structure. The company has a small team of experienced executives and staff, minimizing overhead costs. Additionally, the company has implemented stringent cost-control measures, optimizing procurement and vendor management practices. These efforts have contributed to consistently low G&A expenses, allowing LianBio to channel more resources into R&D and clinical development.

LianBio has formed strategic partnerships with leading pharmaceutical companies to enhance its operating efficiency. These partnerships provide access to global distribution networks, commercialization expertise, and manufacturing capabilities. By leveraging the strengths of its partners, LianBio can reduce its go-to-market costs, accelerate patient enrollment in clinical trials, and expand its global reach. These partnerships enable LianBio to focus on its core competencies and maximize the impact of its therapies.

This exclusive content is only available to premium users.


  1. Athey S. 2019. The impact of machine learning on economics. In The Economics of Artificial Intelligence: An Agenda, ed. AK Agrawal, J Gans, A Goldfarb. Chicago: Univ. Chicago Press. In press
  2. Angrist JD, Pischke JS. 2008. Mostly Harmless Econometrics: An Empiricist's Companion. Princeton, NJ: Princeton Univ. Press
  3. M. Benaim, J. Hofbauer, and S. Sorin. Stochastic approximations and differential inclusions, Part II: Appli- cations. Mathematics of Operations Research, 31(4):673–695, 2006
  4. Allen, P. G. (1994), "Economic forecasting in agriculture," International Journal of Forecasting, 10, 81–135.
  5. 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
  6. J. Peters, S. Vijayakumar, and S. Schaal. Natural actor-critic. In Proceedings of the Sixteenth European Conference on Machine Learning, pages 280–291, 2005.
  7. Efron B, Hastie T. 2016. Computer Age Statistical Inference, Vol. 5. Cambridge, UK: Cambridge Univ. Press


  • 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.