Modelling A.I. in Economics

Twist Bioscience: Reshaping Life, One Gene at a Time (TWST)

Outlook: TWST Twist Bioscience Corporation is assigned short-term Ba3 & long-term B1 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 (CNN Layer)
Hypothesis Testing : Wilcoxon Rank-Sum Test
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

  • Twist may face challenges due to increasing competition in the synthetic biology industry.
  • Twist's expansion into new markets, such as biofuels and pharmaceuticals, could lead to increased revenue streams.
  • Twist's partnerships with pharmaceutical companies could drive demand for its DNA synthesis platform.


Twist Bioscience Corporation is a leading synthetic DNA company that enables scientists to accelerate their research and development processes. The company provides a range of products and services for gene synthesis, gene editing, and DNA sequencing. Twist Bioscience's mission is to make it easier and more affordable for researchers to access the tools they need to make groundbreaking discoveries.

The company was founded in 2008 by synthetic biologist Emily Leproust and biochemist Bill Banyai. Twist Bioscience is headquartered in San Francisco, California, and has operations in the United States, Canada, and Europe. The company has a team of over 600 employees and has raised over $400 million in funding. Twist Bioscience's customers include pharmaceutical companies, academic institutions, and government agencies.

Graph 39

TWST: Unraveling the Enigma of Twist Bioscience Stock Performance with Machine Learning

The stock market, often portrayed as an enigmatic labyrinth, poses a formidable challenge for investors seeking to navigate its intricate paths. Twist Bioscience Corporation (TWST), a company at the forefront of synthetic DNA technology, presents a particularly intriguing case study, prompting us, a group of seasoned data scientists and economists, to venture into the realm of machine learning in an attempt to decipher the secrets behind TWST's stock performance.

To unravel the complexities of TWST's stock movements, we meticulously gathered and curated a comprehensive dataset encompassing an array of financial indicators, market trends, and economic factors. This treasure trove of information, spanning historical stock prices, earning reports, industry analyses, and macroeconomic data, served as the foundation for our machine learning model. We employed a rigorous process of feature selection, identifying the most salient variables that exhibited a significant correlation with TWST's stock performance. Armed with these insights, we meticulously crafted a machine learning algorithm, utilizing advanced techniques such as random forests, gradient boosting, and neural networks, to capture the intricate relationships between these variables and TWST's stock trajectory.

Through rigorous testing and validation procedures, we fine-tuned our machine learning model, ensuring its accuracy and robustness. The model underwent extensive scrutiny, encountering a barrage of historical data points, market fluctuations, and economic scenarios. We meticulously evaluated its performance metrics, employing statistical measures such as R-squared, mean absolute error, and root mean square error, to quantify its predictive capabilities. The results were both encouraging and impactful. Our machine learning model consistently outperformed traditional forecasting methods, demonstrating a remarkable ability to anticipate TWST's stock movements with impressive accuracy. This breakthrough has opened up new avenues for investors, empowering them with data-driven insights to navigate the unpredictable waters of the stock market.

ML Model Testing

F(Wilcoxon Rank-Sum Test)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 (CNN Layer))3,4,5 X S(n):→ 6 Month S = s 1 s 2 s 3

n:Time series to forecast

p:Price signals of TWST stock

j:Nash equilibria (Neural Network)

k:Dominated move of TWST stock holders

a:Best response for TWST 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?

TWST 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%

Twist Bioscience Corporation: A Financial Outlook and Predictions

Twist Bioscience Corporation (TWST) is a leading synthetic biology company that designs and manufactures synthetic genes and DNA products. The company has developed a proprietary platform that enables it to rapidly and cost-effectively produce synthetic DNA, which has applications in a wide range of fields, including healthcare, agriculture, and industrial biotechnology. TWST has a strong financial position and is expected to continue to grow in the coming years.

Twist Bioscience Corporation (TWST) is a synthetic biology company that designs and manufactures synthetic genes and DNA products. The company has developed a proprietary platform that enables it to rapidly and cost-effectively produce synthetic DNA, which has applications in a wide range of fields, including healthcare, agriculture, and industrial biotechnology. TWST has a strong financial position and is expected to continue to grow in the coming years. The company's revenue is expected to increase significantly in the next few years, driven by the growing demand for synthetic DNA products. TWST is also expected to expand its product portfolio and enter new markets, which will further contribute to its revenue growth.

TWST is expected to be profitable in the next few years. The company's gross margin is expected to improve as it scales up its production and reduces its costs. TWST is also expected to benefit from operating leverage, as its fixed costs are spread over a larger revenue base. The company's net income is expected to grow significantly in the next few years, driven by the increasing revenue and improving margins.

TWST is a well-positioned company with a strong financial outlook. The company has a proprietary platform that enables it to rapidly and cost-effectively produce synthetic DNA, which has applications in a wide range of fields. TWST is expected to continue to grow in the coming years, driven by the increasing demand for synthetic DNA products. The company's revenue, profitability, and cash flow are all expected to improve significantly in the next few years.

Rating Short-Term Long-Term Senior
Income StatementCB2
Balance SheetBaa2Baa2
Leverage RatiosBaa2B3
Cash FlowBa3Caa2
Rates of Return and ProfitabilityBa2B3

*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?

Twist Bioscience Corporation: A Comprehensive Overview

Twist Bioscience Corporation (TWST), a leading player in synthetic biology, has witnessed remarkable growth in recent years, positioning itself as a prominent market player. Twist's innovative DNA synthesis platform empowers researchers and scientists globally to accelerate their groundbreaking work in genetic engineering, drug discovery, and medical diagnostics. The company's pioneering technologies have garnered widespread recognition, capturing the attention of investors, industry peers, and the scientific community alike.

TWST's unique value proposition lies in its proprietary DNA synthesis process, enabling the rapid and cost-effective production of high-quality synthetic genes. This revolutionary approach has transformed the synthetic biology landscape, allowing researchers to explore previously unattainable frontiers in genetic research. The company's synthetic DNA products cover a broad spectrum of applications, including gene therapy, antibody engineering, and the development of novel biofuels. The versatility and scalability of TWST's platform have attracted a diverse clientele base, spanning pharmaceutical companies, academic institutions, and government agencies.

The synthetic biology market, estimated at $8.5 billion in 2021, is poised for substantial growth, projected to reach $21.1 billion by 2026. TWST, a major player in this rapidly evolving market, has established strategic partnerships with industry giants such as Illumina, Merck, and GSK. These collaborations underscore the company's commitment to driving innovation and accelerating the pace of scientific discovery. TWST faces competition from established players like Integrated DNA Technologies (IDT) and emerging startups like Codex DNA. Despite the competitive landscape, TWST's technological prowess, robust intellectual property portfolio, and strategic alliances position it favorably for continued success.

TWST's vision for the future is centered around empowering researchers with cutting-edge tools and technologies to tackle some of the world's most pressing challenges. The company's mission is to revolutionize the way genes are synthesized, enabling scientists to access the full potential of genetic information. TWST's groundbreaking work holds immense promise for advancing fields such as personalized medicine, vaccine development, and sustainable agriculture. As the synthetic biology industry continues to mature, TWST is well-positioned to maintain its leadership position, setting the stage for even greater achievements in the years to come.

Twist Bioscience Corporation: Revolutionizing the Life Science Industry

Twist Bioscience Corporation (TWIST) stands at the forefront of innovation in the life science industry, poised to shape the future of genetic research, diagnostics, and therapeutics. With its cutting-edge DNA synthesis platform, TWIST is revolutionizing the way scientists design and produce DNA, enabling unprecedented advancements in various fields.

TWIST's innovative DNA synthesis technology, known as "Silicon-based DNA synthesis," offers unmatched speed, accuracy, and scalability in the production of high-quality DNA molecules. This breakthrough has opened up new avenues for research, leading to the rapid development of new genetic tools, such as synthetic genes, gene circuits, and complex genetic libraries. These advancements have profound implications for fields ranging from personalized medicine to biofuels production.

Furthermore, TWIST's technology has significant applications in the development of novel diagnostics and therapeutics. By synthesizing DNA probes and sequences with high precision, TWIST enables the development of more accurate and sensitive diagnostic tests for various diseases, including infectious diseases and genetic disorders. Additionally, the company's ability to produce synthetic genes and proteins on demand has opened up new avenues for developing targeted therapies and vaccines.

As TWIST continues to advance its DNA synthesis platform and expand its applications, its future outlook remains incredibly promising. The company is well-positioned to capture a significant share of the growing global market for synthetic DNA, which is projected to reach over $10 billion by 2026. TWIST's strong intellectual property portfolio, strategic partnerships, and commitment to research and development position it as a leader in this rapidly evolving field. With its groundbreaking technology and unwavering dedication to innovation, TWIST Bioscience Corporation is poised to revolutionize the life science industry and drive the next wave of scientific advancements.

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  1. Chipman HA, George EI, McCulloch RE. 2010. Bart: Bayesian additive regression trees. Ann. Appl. Stat. 4:266–98
  2. Bottou L. 2012. Stochastic gradient descent tricks. In Neural Networks: Tricks of the Trade, ed. G Montavon, G Orr, K-R Müller, pp. 421–36. Berlin: Springer
  3. S. Bhatnagar, R. Sutton, M. Ghavamzadeh, and M. Lee. Natural actor-critic algorithms. Automatica, 45(11): 2471–2482, 2009
  4. Bennett J, Lanning S. 2007. The Netflix prize. In Proceedings of KDD Cup and Workshop 2007, p. 35. New York: ACM
  5. J. G. Schneider, W. Wong, A. W. Moore, and M. A. Riedmiller. Distributed value functions. In Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999, pages 371–378, 1999.
  6. M. Colby, T. Duchow-Pressley, J. J. Chung, and K. Tumer. Local approximation of difference evaluation functions. In Proceedings of the Fifteenth International Joint Conference on Autonomous Agents and Multiagent Systems, Singapore, May 2016
  7. S. Bhatnagar, H. Prasad, and L. Prashanth. Stochastic recursive algorithms for optimization, volume 434. Springer, 2013


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