Dominant Strategy : Buy
Time series to forecast n: 01 Jun 2023 for (n+6 month)
Methodology : Inductive Learning (ML)
Abstract
Pasithea Therapeutics Corp. Common Stock prediction model is evaluated with Inductive Learning (ML) and ElasticNet Regression1,2,3,4 and it is concluded that the KTTA stock is predictable in the short/long term. According to price forecasts for (n+6 month) period, the dominant strategy among neural network is: BuyKey Points
- Understanding Buy, Sell, and Hold Ratings
- Investment Risk
- Should I buy stocks now or wait amid such uncertainty?
KTTA Target Price Prediction Modeling Methodology
We consider Pasithea Therapeutics Corp. Common Stock Decision Process with Inductive Learning (ML) where A is the set of discrete actions of KTTA 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(ElasticNet Regression)5,6,7= X R(Inductive Learning (ML)) X S(n):→ (n+6 month)
n:Time series to forecast
p:Price signals of KTTA 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?
KTTA Stock Forecast (Buy or Sell) for (n+6 month)
Sample Set: Neural NetworkStock/Index: KTTA Pasithea Therapeutics Corp. Common Stock
Time series to forecast n: 01 Jun 2023 for (n+6 month)
According to price forecasts for (n+6 month) 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 Pasithea Therapeutics Corp. Common Stock
- If, at the date of initial application, it is impracticable (as defined in IAS 8) for an entity to assess whether the fair value of a prepayment feature was insignificant in accordance with paragraph B4.1.12(c) on the basis of the facts and circumstances that existed at the initial recognition of the financial asset, an entity shall assess the contractual cash flow characteristics of that financial asset on the basis of the facts and circumstances that existed at the initial recognition of the financial asset without taking into account the exception for prepayment features in paragraph B4.1.12. (See also paragraph 42S of IFRS 7.)
- For the purpose of recognising foreign exchange gains and losses under IAS 21, a financial asset measured at fair value through other comprehensive income in accordance with paragraph 4.1.2A is treated as a monetary item. Accordingly, such a financial asset is treated as an asset measured at amortised cost in the foreign currency. Exchange differences on the amortised cost are recognised in profit or loss and other changes in the carrying amount are recognised in accordance with paragraph 5.7.10.
- An entity shall apply Prepayment Features with Negative Compensation (Amendments to IFRS 9) retrospectively in accordance with IAS 8, except as specified in paragraphs 7.2.30–7.2.34
- A layer component that includes a prepayment option is not eligible to be designated as a hedged item in a fair value hedge if the prepayment option's fair value is affected by changes in the hedged risk, unless the designated layer includes the effect of the related prepayment option when determining the change in the fair value of the hedged item.
*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
Pasithea Therapeutics Corp. Common Stock is assigned short-term Ba1 & long-term Ba1 estimated rating. Pasithea Therapeutics Corp. Common Stock prediction model is evaluated with Inductive Learning (ML) and ElasticNet Regression1,2,3,4 and it is concluded that the KTTA stock is predictable in the short/long term. According to price forecasts for (n+6 month) period, the dominant strategy among neural network is: Buy
KTTA Pasithea Therapeutics Corp. Common Stock Financial Analysis*
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba1 | Ba1 |
Income Statement | Caa2 | B3 |
Balance Sheet | B2 | Caa2 |
Leverage Ratios | Ba3 | Baa2 |
Cash Flow | B3 | Ba3 |
Rates of Return and Profitability | Caa2 | Caa2 |
*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 KTTA stock?A: KTTA stock prediction methodology: We evaluate the prediction models Inductive Learning (ML) and ElasticNet Regression
Q: Is KTTA stock a buy or sell?
A: The dominant strategy among neural network is to Buy KTTA Stock.
Q: Is Pasithea Therapeutics Corp. Common Stock stock a good investment?
A: The consensus rating for Pasithea Therapeutics Corp. Common Stock is Buy and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of KTTA stock?
A: The consensus rating for KTTA is Buy.
Q: What is the prediction period for KTTA stock?
A: The prediction period for KTTA is (n+6 month)
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