Outlook: Stratim Cloud Acquisition Corp. Unit assigned short-term B2 & long-term B3 forecasted stock rating.
Dominant Strategy : Buy
Time series to forecast n: 13 Dec 2022 for (n+4 weeks)
Methodology : Statistical Inference (ML)

## Abstract

Different machine learning algorithms are discussed in this literature review. These algorithms can be used for predicting the stock market. The prediction of the stock market is one of the challenging tasks that must have to be handled. In this paper, it is discussed how the machine learning algorithms can be used for predicting the stock value.(Chaigusin, S., Chirathamjaree, C. and Clayden, J., 2008, September. Soft computing in the forecasting of the stock exchange of Thailand (SET). In 2008 4th IEEE International Conference on Management of Innovation and Technology (pp. 1277-1281). IEEE.) We evaluate Stratim Cloud Acquisition Corp. Unit prediction models with Statistical Inference (ML) and Pearson Correlation1,2,3,4 and conclude that the SCAQU 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

## Key Points

1. Is it better to buy and sell or hold?
3. How do you pick a stock?

## SCAQU Target Price Prediction Modeling Methodology

We consider Stratim Cloud Acquisition Corp. Unit Decision Process with Statistical Inference (ML) where A is the set of discrete actions of SCAQU 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(Pearson Correlation)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(Statistical Inference (ML)) X S(n):→ (n+4 weeks) $R=\left(\begin{array}{ccc}1& 0& 0\\ 0& 1& 0\\ 0& 0& 1\end{array}\right)$

n:Time series to forecast

p:Price signals of SCAQU 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?

## SCAQU Stock Forecast (Buy or Sell) for (n+4 weeks)

Sample Set: Neural Network
Stock/Index: SCAQU Stratim Cloud Acquisition Corp. Unit
Time series to forecast n: 13 Dec 2022 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%

## Adjusted IFRS* Prediction Methods for Stratim Cloud Acquisition Corp. Unit

1. However, depending on the nature of the financial instruments and the credit risk information available for particular groups of financial instruments, an entity may not be able to identify significant changes in credit risk for individual financial instruments before the financial instrument becomes past due. This may be the case for financial instruments such as retail loans for which there is little or no updated credit risk information that is routinely obtained and monitored on an individual instrument until a customer breaches the contractual terms. If changes in the credit risk for individual financial instruments are not captured before they become past due, a loss allowance based only on credit information at an individual financial instrument level would not faithfully represent the changes in credit risk since initial recognition.
2. In accordance with paragraph 4.1.3(a), principal is the fair value of the financial asset at initial recognition. However that principal amount may change over the life of the financial asset (for example, if there are repayments of principal).
3. The underlying pool must contain one or more instruments that have contractual cash flows that are solely payments of principal and interest on the principal amount outstanding
4. An entity may use practical expedients when measuring expected credit losses if they are consistent with the principles in paragraph 5.5.17. An example of a practical expedient is the calculation of the expected credit losses on trade receivables using a provision matrix. The entity would use its historical credit loss experience (adjusted as appropriate in accordance with paragraphs B5.5.51–B5.5.52) for trade receivables to estimate the 12-month expected credit losses or the lifetime expected credit losses on the financial assets as relevant. A provision matrix might, for example, specify fixed provision rates depending on the number of days that a trade receivable is past due (for example, 1 per cent if not past due, 2 per cent if less than 30 days past due, 3 per cent if more than 30 days but less than 90 days past due, 20 per cent if 90–180 days past due etc). Depending on the diversity of its customer base, the entity would use appropriate groupings if its historical credit loss experience shows significantly different loss patterns for different customer segments. Examples of criteria that might be used to group assets include geographical region, product type, customer rating, collateral or trade credit insurance and type of customer (such as wholesale or retail)

*International Financial Reporting Standards (IFRS) are a set of accounting rules for the financial statements of public companies that are intended to make them consistent, transparent, and easily comparable around the world.

## Conclusions

Stratim Cloud Acquisition Corp. Unit assigned short-term B2 & long-term B3 forecasted stock rating. We evaluate the prediction models Statistical Inference (ML) with Pearson Correlation1,2,3,4 and conclude that the SCAQU 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

### Financial State Forecast for SCAQU Stratim Cloud Acquisition Corp. Unit Options & Futures

Rating Short-Term Long-Term Senior
Outlook*B2B3
Operational Risk 3348
Market Risk5756
Technical Analysis7452
Fundamental Analysis6042
Risk Unsystematic5532

### Prediction Confidence Score

Trust metric by Neural Network: 80 out of 100 with 514 signals.

## References

1. Chamberlain G. 2000. Econometrics and decision theory. J. Econom. 95:255–83
2. A. Y. Ng, D. Harada, and S. J. Russell. Policy invariance under reward transformations: Theory and application to reward shaping. In Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999, pages 278–287, 1999.
3. Babula, R. A. (1988), "Contemporaneous correlation and modeling Canada's imports of U.S. crops," Journal of Agricultural Economics Research, 41, 33–38.
4. Çetinkaya, A., Zhang, Y.Z., Hao, Y.M. and Ma, X.Y., MO Stock Price Prediction. AC Investment Research Journal, 101(3).
5. Hartford J, Lewis G, Taddy M. 2016. Counterfactual prediction with deep instrumental variables networks. arXiv:1612.09596 [stat.AP]
6. Artis, M. J. W. Zhang (1990), "BVAR forecasts for the G-7," International Journal of Forecasting, 6, 349–362.
7. M. Puterman. Markov Decision Processes: Discrete Stochastic Dynamic Programming. Wiley, New York, 1994.
Frequently Asked QuestionsQ: What is the prediction methodology for SCAQU stock?
A: SCAQU stock prediction methodology: We evaluate the prediction models Statistical Inference (ML) and Pearson Correlation
Q: Is SCAQU stock a buy or sell?
A: The dominant strategy among neural network is to Buy SCAQU Stock.
Q: Is Stratim Cloud Acquisition Corp. Unit stock a good investment?
A: The consensus rating for Stratim Cloud Acquisition Corp. Unit is Buy and assigned short-term B2 & long-term B3 forecasted stock rating.
Q: What is the consensus rating of SCAQU stock?
A: The consensus rating for SCAQU is Buy.
Q: What is the prediction period for SCAQU stock?
A: The prediction period for SCAQU is (n+4 weeks)

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