## Abstract

**We evaluate TA 35 Index prediction models with Money Flow Index (MFI) and Sign Test ^{1,2,3,4} and conclude that the TA 35 Index stock is predictable in the short/long term. **

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Hold TA 35 Index stock.**

**TA 35 Index, TA 35 Index, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Technical Analysis with Algorithmic Trading
- What is a prediction confidence?
- Why do we need predictive models?

## TA 35 Index Target Price Prediction Modeling Methodology

We consider TA 35 Index Stock Decision Process with Sign Test where A is the set of discrete actions of TA 35 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(Sign Test)

^{5,6,7}= $\begin{array}{cccc}{p}_{\mathrm{a}1}& {p}_{\mathrm{a}2}& \dots & {p}_{1n}\\ & \vdots \\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & \vdots \\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & \vdots \\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Money Flow Index (MFI)) X S(n):→ (n+1 year) $\overrightarrow{S}=\left({s}_{1},{s}_{2},{s}_{3}\right)$

n:Time series to forecast

p:Price signals of TA 35 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?

## TA 35 Index Stock Forecast (Buy or Sell) for (n+1 year)

**Sample Set:**Neural Network

**Stock/Index:**TA 35 Index TA 35 Index

**Time series to forecast n: 31 Aug 2022**for (n+1 year)

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Hold TA 35 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

TA 35 Index assigned short-term Ba3 & long-term Baa2 forecasted stock rating.** We evaluate the prediction models Money Flow Index (MFI) with Sign Test ^{1,2,3,4} and conclude that the TA 35 Index stock is predictable in the short/long term.**

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Hold TA 35 Index stock.**

### Financial State Forecast for TA 35 Index Stock Options & Futures

Rating | Short-Term | Long-Term Senior |
---|---|---|

Outlook* | Ba3 | Baa2 |

Operational Risk | 72 | 82 |

Market Risk | 76 | 51 |

Technical Analysis | 30 | 86 |

Fundamental Analysis | 81 | 79 |

Risk Unsystematic | 77 | 75 |

### Prediction Confidence Score

## References

- J. Baxter and P. Bartlett. Infinite-horizon policy-gradient estimation. Journal of Artificial Intelligence Re- search, 15:319–350, 2001.
- J. Ott. A Markov decision model for a surveillance application and risk-sensitive Markov decision processes. PhD thesis, Karlsruhe Institute of Technology, 2010.
- S. Bhatnagar. An actor-critic algorithm with function approximation for discounted cost constrained Markov decision processes. Systems & Control Letters, 59(12):760–766, 2010
- Y. Chow and M. Ghavamzadeh. Algorithms for CVaR optimization in MDPs. In Advances in Neural Infor- mation Processing Systems, pages 3509–3517, 2014.
- M. J. Hausknecht. Cooperation and Communication in Multiagent Deep Reinforcement Learning. PhD thesis, The University of Texas at Austin, 2016
- Mikolov T, Chen K, Corrado GS, Dean J. 2013a. Efficient estimation of word representations in vector space. arXiv:1301.3781 [cs.CL]
- H. Kushner and G. Yin. Stochastic approximation algorithms and applications. Springer, 1997.

## Frequently Asked Questions

Q: What is the prediction methodology for TA 35 Index stock?A: TA 35 Index stock prediction methodology: We evaluate the prediction models Money Flow Index (MFI) and Sign Test

Q: Is TA 35 Index stock a buy or sell?

A: The dominant strategy among neural network is to Hold TA 35 Index Stock.

Q: Is TA 35 Index stock a good investment?

A: The consensus rating for TA 35 Index is Hold and assigned short-term Ba3 & long-term Baa2 forecasted stock rating.

Q: What is the consensus rating of TA 35 Index stock?

A: The consensus rating for TA 35 Index is Hold.

Q: What is the prediction period for TA 35 Index stock?

A: The prediction period for TA 35 Index is (n+1 year)

- Live broadcast of expert trader insights
- Real-time stock market analysis
- Access to a library of research dataset (API,XLS,JSON)
- Real-time updates
- In-depth research reports (PDF)