## Abstract

We evaluate CSE All-Share Index prediction models with Deductive Inference (ML) and Polynomial Regression1,2,3,4 and conclude that the CSE All-Share Index stock is predictable in the short/long term. According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Hold CSE All-Share Index stock.

Keywords: CSE All-Share Index, CSE All-Share Index, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.

## Key Points

1. Can statistics predict the future?
2. Technical Analysis with Algorithmic Trading
3. Is now good time to invest? ## CSE All-Share Index Target Price Prediction Modeling Methodology

We consider CSE All-Share Index Stock Decision Process with Polynomial Regression where A is the set of discrete actions of CSE All-Share Index 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(Polynomial Regression)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(Deductive Inference (ML)) X S(n):→ (n+3 month) $\stackrel{\to }{S}=\left({s}_{1},{s}_{2},{s}_{3}\right)$

n:Time series to forecast

p:Price signals of CSE All-Share Index stock

j:Nash equilibria

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?

## CSE All-Share Index Stock Forecast (Buy or Sell) for (n+3 month)

Sample Set: Neural Network
Stock/Index: CSE All-Share Index CSE All-Share Index
Time series to forecast n: 02 Sep 2022 for (n+3 month)

According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Hold CSE All-Share Index stock.

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 (Yellow to Green): *Technical Analysis%

## Conclusions

CSE All-Share Index assigned short-term B3 & long-term B3 forecasted stock rating. We evaluate the prediction models Deductive Inference (ML) with Polynomial Regression1,2,3,4 and conclude that the CSE All-Share Index stock is predictable in the short/long term. According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Hold CSE All-Share Index stock.

### Financial State Forecast for CSE All-Share Index Stock Options & Futures

Rating Short-Term Long-Term Senior
Outlook*B3B3
Operational Risk 3239
Market Risk5550
Technical Analysis5442
Fundamental Analysis4437
Risk Unsystematic5263

### Prediction Confidence Score

Trust metric by Neural Network: 75 out of 100 with 852 signals.

## References

1. Bessler, D. A. T. Covey (1991), "Cointegration: Some results on U.S. cattle prices," Journal of Futures Markets, 11, 461–474.
2. Jiang N, Li L. 2016. Doubly robust off-policy value evaluation for reinforcement learning. In Proceedings of the 33rd International Conference on Machine Learning, pp. 652–61. La Jolla, CA: Int. Mach. Learn. Soc.
3. Athey S, Imbens GW. 2017a. The econometrics of randomized experiments. In Handbook of Economic Field Experiments, Vol. 1, ed. E Duflo, A Banerjee, pp. 73–140. Amsterdam: Elsevier
4. Firth JR. 1957. A synopsis of linguistic theory 1930–1955. In Studies in Linguistic Analysis (Special Volume of the Philological Society), ed. JR Firth, pp. 1–32. Oxford, UK: Blackwell
5. M. L. Littman. Friend-or-foe q-learning in general-sum games. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001, pages 322–328, 2001
6. Harris ZS. 1954. Distributional structure. Word 10:146–62
7. Hirano K, Porter JR. 2009. Asymptotics for statistical treatment rules. Econometrica 77:1683–701
Frequently Asked QuestionsQ: What is the prediction methodology for CSE All-Share Index stock?
A: CSE All-Share Index stock prediction methodology: We evaluate the prediction models Deductive Inference (ML) and Polynomial Regression
Q: Is CSE All-Share Index stock a buy or sell?
A: The dominant strategy among neural network is to Hold CSE All-Share Index Stock.
Q: Is CSE All-Share Index stock a good investment?
A: The consensus rating for CSE All-Share Index is Hold and assigned short-term B3 & long-term B3 forecasted stock rating.
Q: What is the consensus rating of CSE All-Share Index stock?
A: The consensus rating for CSE All-Share Index is Hold.
Q: What is the prediction period for CSE All-Share Index stock?
A: The prediction period for CSE All-Share Index is (n+3 month)

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