Outlook: EdtechX Holdings Acquisition Corp. II Class A common stock is assigned short-term B2 & long-term B2 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Speculative Trend
Time series to forecast n: for Weeks2
Methodology : Active Learning (ML)
Hypothesis Testing : Factor
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.

## Summary

EdtechX Holdings Acquisition Corp. II Class A common stock prediction model is evaluated with Active Learning (ML) and Factor1,2,3,4 and it is concluded that the EDTX stock is predictable in the short/long term. Active learning (AL) is a machine learning (ML) method in which the model actively queries the user for labels on data points. This allows the model to learn more efficiently, as it is only learning about the data points that are most informative. According to price forecasts for 6 Month period, the dominant strategy among neural network is: Speculative Trend

## Key Points

1. What is statistical models in machine learning?
2. Is it better to buy and sell or hold?
3. What are main components of Markov decision process?

## EDTX Target Price Prediction Modeling Methodology

We consider EdtechX Holdings Acquisition Corp. II Class A common stock Decision Process with Active Learning (ML) where A is the set of discrete actions of EDTX 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(Factor)5,6,7= $\begin{array}{cccc}{p}_{a1}& {p}_{a2}& \dots & {p}_{1n}\\ & ⋮\\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & ⋮\\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & ⋮\\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Active Learning (ML)) X S(n):→ 6 Month $\stackrel{\to }{S}=\left({s}_{1},{s}_{2},{s}_{3}\right)$

n:Time series to forecast

p:Price signals of EDTX stock

j:Nash equilibria (Neural Network)

k:Dominated move

a:Best response for target price

### Active Learning (ML)

Active learning (AL) is a machine learning (ML) method in which the model actively queries the user for labels on data points. This allows the model to learn more efficiently, as it is only learning about the data points that are most informative.

### Factor

In statistics, a factor is a variable that can influence the value of another variable. Factors can be categorical or continuous. Categorical factors have a limited number of possible values, such as gender (male or female) or blood type (A, B, AB, or O). Continuous factors can have an infinite number of possible values, such as height or weight. Factors can be used to explain the variation in a dependent variable. For example, a study might find that there is a relationship between gender and height. In this case, gender would be the independent variable, height would be the dependent variable, and the factor would be gender.

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?

## EDTX Stock Forecast (Buy or Sell)

Sample Set: Neural Network
Stock/Index: EDTX EdtechX Holdings Acquisition Corp. II Class A common stock
Time series to forecast: 6 Month

According to price forecasts, the dominant strategy among neural network is: Speculative Trend

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%

### Financial Data Adjustments for Active Learning (ML) based EDTX Stock Prediction Model

2. An entity that first applies these amendments after it first applies this Standard shall apply paragraphs 7.2.32–7.2.34. The entity shall also apply the other transition requirements in this Standard necessary for applying these amendments. For that purpose, references to the date of initial application shall be read as referring to the beginning of the reporting period in which an entity first applies these amendments (date of initial application of these amendments).
3. Compared to a business model whose objective is to hold financial assets to collect contractual cash flows, this business model will typically involve greater frequency and value of sales. This is because selling financial assets is integral to achieving the business model's objective instead of being only incidental to it. However, there is no threshold for the frequency or value of sales that must occur in this business model because both collecting contractual cash flows and selling financial assets are integral to achieving its objective.
4. Paragraph 4.1.1(a) requires an entity to classify financial assets on the basis of the entity's business model for managing the financial assets, unless paragraph 4.1.5 applies. An entity assesses whether its financial assets meet the condition in paragraph 4.1.2(a) or the condition in paragraph 4.1.2A(a) on the basis of the business model as determined by the entity's key management personnel (as defined in IAS 24 Related Party Disclosures).

*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.

### EDTX EdtechX Holdings Acquisition Corp. II Class A common stock Financial Analysis*

Rating Short-Term Long-Term Senior
Outlook*B2B2
Income StatementCBaa2
Balance SheetBaa2Caa2
Leverage RatiosCaa2Caa2
Cash FlowB1Caa2
Rates of Return and ProfitabilityB2Caa2

*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?

## Conclusions

EdtechX Holdings Acquisition Corp. II Class A common stock is assigned short-term B2 & long-term B2 estimated rating. EdtechX Holdings Acquisition Corp. II Class A common stock prediction model is evaluated with Active Learning (ML) and Factor1,2,3,4 and it is concluded that the EDTX stock is predictable in the short/long term. According to price forecasts for 6 Month period, the dominant strategy among neural network is: Speculative Trend

### Prediction Confidence Score

Trust metric by Neural Network: 80 out of 100 with 553 signals.

## References

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5. Bennett J, Lanning S. 2007. The Netflix prize. In Proceedings of KDD Cup and Workshop 2007, p. 35. New York: ACM
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Frequently Asked QuestionsQ: What is the prediction methodology for EDTX stock?
A: EDTX stock prediction methodology: We evaluate the prediction models Active Learning (ML) and Factor
Q: Is EDTX stock a buy or sell?
A: The dominant strategy among neural network is to Speculative Trend EDTX Stock.
Q: Is EdtechX Holdings Acquisition Corp. II Class A common stock stock a good investment?
A: The consensus rating for EdtechX Holdings Acquisition Corp. II Class A common stock is Speculative Trend and is assigned short-term B2 & long-term B2 estimated rating.
Q: What is the consensus rating of EDTX stock?
A: The consensus rating for EDTX is Speculative Trend.
Q: What is the prediction period for EDTX stock?
A: The prediction period for EDTX is 6 Month