Dominant Strategy : Buy
Time series to forecast n: 01 Jun 2023 for (n+4 weeks)
Methodology : Modular Neural Network (CNN Layer)
Abstract
Nubia Brand International Corp. Class A Common Stock prediction model is evaluated with Modular Neural Network (CNN Layer) and Logistic Regression1,2,3,4 and it is concluded that the NUBI stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: BuyKey Points
- Market Risk
- Understanding Buy, Sell, and Hold Ratings
- Which neural network is best for prediction?
NUBI Target Price Prediction Modeling Methodology
We consider Nubia Brand International Corp. Class A Common Stock Decision Process with Modular Neural Network (CNN Layer) where A is the set of discrete actions of NUBI stock holders, F is the set of discrete states, P : S × F × S → R is the transition probability distribution, R : S × F → R is the reaction function, and γ ∈ [0, 1] is a move factor for expectation.1,2,3,4
F(Logistic Regression)5,6,7= X R(Modular Neural Network (CNN Layer)) X S(n):→ (n+4 weeks)
n:Time series to forecast
p:Price signals of NUBI stock
j:Nash equilibria (Neural Network)
k:Dominated move
a:Best response for target price
For further technical information as per how our model work we invite you to visit the article below:
How do AC Investment Research machine learning (predictive) algorithms actually work?
NUBI Stock Forecast (Buy or Sell) for (n+4 weeks)
Sample Set: Neural NetworkStock/Index: NUBI Nubia Brand International Corp. Class A Common Stock
Time series to forecast n: 01 Jun 2023 for (n+4 weeks)
According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Buy
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%
IFRS Reconciliation Adjustments for Nubia Brand International Corp. Class A Common Stock
- For the purposes of measuring expected credit losses, the estimate of expected cash shortfalls shall reflect the cash flows expected from collateral and other credit enhancements that are part of the contractual terms and are not recognised separately by the entity. The estimate of expected cash shortfalls on a collateralised financial instrument reflects the amount and timing of cash flows that are expected from foreclosure on the collateral less the costs of obtaining and selling the collateral, irrespective of whether foreclosure is probable (ie the estimate of expected cash flows considers the probability of a foreclosure and the cash flows that would result from it). Consequently, any cash flows that are expected from the realisation of the collateral beyond the contractual maturity of the contract should be included in this analysis. Any collateral obtained as a result of foreclosure is not recognised as an asset that is separate from the collateralised financial instrument unless it meets the relevant recognition criteria for an asset in this or other Standards.
- IFRS 15, issued in May 2014, amended paragraphs 3.1.1, 4.2.1, 5.1.1, 5.2.1, 5.7.6, B3.2.13, B5.7.1, C5 and C42 and deleted paragraph C16 and its related heading. Paragraphs 5.1.3 and 5.7.1A, and a definition to Appendix A, were added. An entity shall apply those amendments when it applies IFRS 15.
- An entity is not required to restate prior periods to reflect the application of these amendments. The entity may restate prior periods if, and only if, it is possible without the use of hindsight. If an entity does not restate prior periods, the entity shall recognise any difference between the previous carrying amount and the carrying amount at the beginning of the annual reporting period that includes the date of initial application of these amendments in the opening retained earnings (or other component of equity, as appropriate) of the annual reporting period that includes the date of initial application of these amendments.
- For the purposes of the transition provisions in paragraphs 7.2.1, 7.2.3–7.2.28 and 7.3.2, the date of initial application is the date when an entity first applies those requirements of this Standard and must be the beginning of a reporting period after the issue of this Standard. Depending on the entity's chosen approach to applying IFRS 9, the transition can involve one or more than one date of initial application for different requirements.
*International Financial Reporting Standards (IFRS) adjustment process involves reviewing the company's financial statements and identifying any differences between the company's current accounting practices and the requirements of the IFRS. If there are any such differences, neural network makes adjustments to financial statements to bring them into compliance with the IFRS.
Conclusions
Nubia Brand International Corp. Class A Common Stock is assigned short-term Ba1 & long-term Ba1 estimated rating. Nubia Brand International Corp. Class A Common Stock prediction model is evaluated with Modular Neural Network (CNN Layer) and Logistic Regression1,2,3,4 and it is concluded that the NUBI stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Buy
NUBI Nubia Brand International Corp. Class A Common Stock Financial Analysis*
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba1 | Ba1 |
Income Statement | B2 | Baa2 |
Balance Sheet | Caa2 | B1 |
Leverage Ratios | Ba2 | Baa2 |
Cash Flow | Baa2 | B2 |
Rates of Return and Profitability | C | Baa2 |
*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?
Prediction Confidence Score

References
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Frequently Asked Questions
Q: What is the prediction methodology for NUBI stock?A: NUBI stock prediction methodology: We evaluate the prediction models Modular Neural Network (CNN Layer) and Logistic Regression
Q: Is NUBI stock a buy or sell?
A: The dominant strategy among neural network is to Buy NUBI Stock.
Q: Is Nubia Brand International Corp. Class A Common Stock stock a good investment?
A: The consensus rating for Nubia Brand International Corp. Class A Common Stock is Buy and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of NUBI stock?
A: The consensus rating for NUBI is Buy.
Q: What is the prediction period for NUBI stock?
A: The prediction period for NUBI is (n+4 weeks)