Dominant Strategy : Hold
Time series to forecast n: 26 Mar 2023 for (n+4 weeks)
Methodology : Modular Neural Network (DNN Layer)
Abstract
FingerMotion Inc. Common Stock prediction model is evaluated with Modular Neural Network (DNN Layer) and Wilcoxon Sign-Rank Test1,2,3,4 and it is concluded that the FNGR stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: HoldKey Points
- Prediction Modeling
- What is neural prediction?
- Can we predict stock market using machine learning?
FNGR Target Price Prediction Modeling Methodology
We consider FingerMotion Inc. Common Stock Decision Process with Modular Neural Network (DNN Layer) where A is the set of discrete actions of FNGR 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(Wilcoxon Sign-Rank Test)5,6,7= X R(Modular Neural Network (DNN Layer)) X S(n):→ (n+4 weeks)
n:Time series to forecast
p:Price signals of FNGR 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?
FNGR Stock Forecast (Buy or Sell) for (n+4 weeks)
Sample Set: Neural NetworkStock/Index: FNGR FingerMotion Inc. Common Stock
Time series to forecast n: 26 Mar 2023 for (n+4 weeks)
According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Hold
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 FingerMotion Inc. Common Stock
- An entity may manage and evaluate the performance of a group of financial liabilities or financial assets and financial liabilities in such a way that measuring that group at fair value through profit or loss results in more relevant information. The focus in this instance is on the way the entity manages and evaluates performance, instead of on the nature of its financial instruments.
- A firm commitment to acquire a business in a business combination cannot be a hedged item, except for foreign currency risk, because the other risks being hedged cannot be specifically identified and measured. Those other risks are general business risks.
- An entity that first applies these amendments at the same time it first applies this Standard shall apply paragraphs 7.2.1–7.2.28 instead of paragraphs 7.2.31–7.2.34.
- For hedges other than hedges of foreign currency risk, when an entity designates a non-derivative financial asset or a non-derivative financial liability measured at fair value through profit or loss as a hedging instrument, it may only designate the non-derivative financial instrument in its entirety or a proportion of it.
*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
FingerMotion Inc. Common Stock is assigned short-term Ba1 & long-term Ba1 estimated rating. FingerMotion Inc. Common Stock prediction model is evaluated with Modular Neural Network (DNN Layer) and Wilcoxon Sign-Rank Test1,2,3,4 and it is concluded that the FNGR stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Hold
FNGR FingerMotion Inc. Common Stock Financial Analysis*
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba1 | Ba1 |
Income Statement | C | B1 |
Balance Sheet | Ba1 | Baa2 |
Leverage Ratios | C | B3 |
Cash Flow | B1 | B2 |
Rates of Return and Profitability | Baa2 | B3 |
*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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- Çetinkaya, A., Zhang, Y.Z., Hao, Y.M. and Ma, X.Y., Can stock prices be predicted?(SMI Index Stock Forecast). AC Investment Research Journal, 101(3).
Frequently Asked Questions
Q: What is the prediction methodology for FNGR stock?A: FNGR stock prediction methodology: We evaluate the prediction models Modular Neural Network (DNN Layer) and Wilcoxon Sign-Rank Test
Q: Is FNGR stock a buy or sell?
A: The dominant strategy among neural network is to Hold FNGR Stock.
Q: Is FingerMotion Inc. Common Stock stock a good investment?
A: The consensus rating for FingerMotion Inc. Common Stock is Hold and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of FNGR stock?
A: The consensus rating for FNGR is Hold.
Q: What is the prediction period for FNGR stock?
A: The prediction period for FNGR is (n+4 weeks)