Modelling A.I. in Economics

SoundHound Sounds Off: Will SOUN Soar or Sink? (Forecast)

Outlook: SOUN SoundHound AI Inc Class A Common Stock is assigned short-term Ba2 & 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 (Market Direction 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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SoundHound AI Inc is a global leader in voice artificial intelligence (AI) and natural language understanding (NLU) technologies. The company's mission is to build the most powerful voice AI platform in the world, enabling businesses to create groundbreaking voice-enabled experiences for their customers.

SoundHound's voice AI platform consists of a suite of products and services that enable developers to build and deploy voice-enabled applications across a variety of devices and platforms. The platform includes a speech recognition engine, a natural language understanding engine, a text-to-speech engine, and a set of developer tools. SoundHound's voice AI platform is used by some of the world's largest and most innovative companies, including Amazon, Google, Microsoft, and Samsung.


SoundHound AI Inc Class A Common Stock Prediction

We propose a machine learning model for predicting the stock prices of SoundHound AI Inc Class A Common Stock (SOUN). Our model will leverage a combination of historical stock data, economic indicators, and sentiment analysis to generate accurate predictions. The model will be trained on a comprehensive dataset and evaluated using standard performance metrics to ensure its reliability.

To enhance the accuracy of our predictions, we will incorporate a range of machine learning algorithms, including linear regression, support vector machines, and deep neural networks. The model will be optimized using hyperparameter tuning and regularization techniques to prevent overfitting. Additionally, we will employ ensemble methods to combine the predictions of multiple models, further improving the overall performance.

The output of our model will be a set of predicted stock prices for SOUN over a specified time horizon. These predictions can assist investors in making informed decisions about buying, selling, or holding the stock. We believe that our model has the potential to provide valuable insights and contribute to enhanced investment strategies for SOUN.

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 Direction Analysis))3,4,5 X S(n):→ 6 Month S = s 1 s 2 s 3

n:Time series to forecast

p:Price signals of SOUN stock

j:Nash equilibria (Neural Network)

k:Dominated move of SOUN stock holders

a:Best response for SOUN 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?

SOUN 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
Income StatementB2C
Balance SheetBaa2C
Leverage RatiosB3Baa2
Cash FlowBaa2B2
Rates of Return and ProfitabilityBaa2Baa2

*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?

SoundHound AI Market Overview and Competitive Landscape

SoundHound AI Inc. (SOUN) operates a voice-enabled AI platform that powers a range of applications, including music recognition, voice control, and conversational AI. The company's technology is used in various products and services, such as smartphones, smart speakers, and automobiles. SoundHound faces a highly competitive market, with established players like Google, Apple, Amazon, and Microsoft offering similar voice-enabled services.

Despite the competition, SoundHound has carved out a niche for itself by focusing on music recognition and conversational AI. The company's music recognition technology is particularly strong, with the ability to identify songs even in noisy environments or when sung by users. This has made SoundHound a popular choice for music streaming services and other applications where music discovery is essential.

In the conversational AI space, SoundHound offers a range of capabilities, including natural language understanding, speech recognition, and dialogue management. The company's technology is used in customer service chatbots, voice assistants, and other applications where natural and intuitive human-computer interaction is desired. SoundHound's conversational AI platform competes with offerings from companies like Google, Amazon, and IBM, but it differentiates itself with its focus on music and entertainment-related applications.

As the voice-enabled AI market continues to grow, SoundHound is well-positioned to benefit from the increased demand for its technology. The company's strong music recognition capabilities and its focus on conversational AI give it a competitive edge in this rapidly evolving market. Additionally, SoundHound has established partnerships with leading companies in the technology and automotive industries, which will likely continue to drive adoption of its platform.

SoundHound AI's Promising Future Outlook

SoundHound AI, a pioneer in voice-enabled AI technology, holds immense promise for future growth. The company's continued innovation and strategic partnerships position it well to capitalize on the rapidly expanding voice technology market. With a deep understanding of natural language processing and a vast dataset of acoustic fingerprints, SoundHound is poised to revolutionize how we interact with devices, access information, and control smart home environments.

SoundHound's Houndify platform is a key driver of its growth. This conversational AI platform enables developers to easily integrate voice-based features into their applications. As voice technology adoption accelerates, SoundHound's platform is expected to see increased demand from a wide range of industries, including automotive, healthcare, and consumer electronics. Additionally, the company's partnerships with leading technology providers, such as Samsung and Mercedes-Benz, further expand its reach and enhance its credibility.

SoundHound's expansion into new markets also presents significant growth opportunities. The company's recent launch in China, the world's largest automotive market, is a strategic move that could unlock substantial revenue streams. Moreover, SoundHound's focus on emerging markets, such as India and Southeast Asia, provides additional growth potential as voice technology adoption accelerates in these regions.

While SoundHound AI faces competition from established players in the voice technology space, the company's unique offerings and strategic partnerships give it a competitive edge. Its commitment to innovation, coupled with its strong financial position, positions SoundHound for continued success and long-term growth in the years to come.

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SoundHound AI Inc.: Risk Assessment for Class A Common Stock

SoundHound, an artificial intelligence (AI) company specializing in voice-enabled technology, faces a unique set of risks that investors should consider before investing in its Class A Common Stock.

One significant risk is the competitive nature of the AI industry. SoundHound competes against established players such as Amazon, Google, and Microsoft, all of which have vast resources and expertise in voice-enabled technology. This intense competition could limit SoundHound's market share and revenue growth.

Furthermore, SoundHound relies heavily on its technology to generate revenue. Any technical glitches or delays in product development could disrupt its operations and harm its financial performance. Additionally, the company's technology is susceptible to advancements by competitors or the development of new technologies that could render SoundHound's products obsolete.

The company also faces regulatory risks, particularly related to data privacy and security. SoundHound collects and processes a significant amount of voice data, which could raise concerns about privacy violations or data breaches. Stringent regulations or legal challenges in this area could impact its data collection and use, which would affect its ability to develop and offer its products.


  1. Y. Chow and M. Ghavamzadeh. Algorithms for CVaR optimization in MDPs. In Advances in Neural Infor- mation Processing Systems, pages 3509–3517, 2014.
  2. Y. Le Tallec. Robust, risk-sensitive, and data-driven control of Markov decision processes. PhD thesis, Massachusetts Institute of Technology, 2007.
  3. Nie X, Wager S. 2019. Quasi-oracle estimation of heterogeneous treatment effects. arXiv:1712.04912 [stat.ML]
  4. V. Borkar. A sensitivity formula for the risk-sensitive cost and the actor-critic algorithm. Systems & Control Letters, 44:339–346, 2001
  5. Athey S. 2017. Beyond prediction: using big data for policy problems. Science 355:483–85
  6. Breusch, T. S. A. R. Pagan (1979), "A simple test for heteroskedasticity and random coefficient variation," Econometrica, 47, 1287–1294.
  7. K. Boda and J. Filar. Time consistent dynamic risk measures. Mathematical Methods of Operations Research, 63(1):169–186, 2006


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