Dominant Strategy : SellWait until speculative trend diminishes
Time series to forecast n: 29 May 2023 for (n+4 weeks)
Methodology : Modular Neural Network (Market News Sentiment Analysis)
Abstract
ENVIRONMENTAL CLEAN TECHNOLOGIES LIMITED. prediction model is evaluated with Modular Neural Network (Market News Sentiment Analysis) and Ridge Regression1,2,3,4 and it is concluded that the ECT stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: SellWait until speculative trend diminishesKey Points
- Trading Signals
- Market Signals
- How accurate is machine learning in stock market?
ECT Target Price Prediction Modeling Methodology
We consider ENVIRONMENTAL CLEAN TECHNOLOGIES LIMITED. Decision Process with Modular Neural Network (Market News Sentiment Analysis) where A is the set of discrete actions of ECT 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(Ridge Regression)5,6,7= X R(Modular Neural Network (Market News Sentiment Analysis)) X S(n):→ (n+4 weeks)
n:Time series to forecast
p:Price signals of ECT 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?
ECT Stock Forecast (Buy or Sell) for (n+4 weeks)
Sample Set: Neural NetworkStock/Index: ECT ENVIRONMENTAL CLEAN TECHNOLOGIES LIMITED.
Time series to forecast n: 29 May 2023 for (n+4 weeks)
According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: SellWait until speculative trend diminishes
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 ENVIRONMENTAL CLEAN TECHNOLOGIES LIMITED.
- Paragraph 5.7.5 permits an entity to make an irrevocable election to present in other comprehensive income changes in the fair value of an investment in an equity instrument that is not held for trading. This election is made on an instrument-by-instrument (ie share-by-share) basis. Amounts presented in other comprehensive income shall not be subsequently transferred to profit or loss. However, the entity may transfer the cumulative gain or loss within equity. Dividends on such investments are recognised in profit or loss in accordance with paragraph 5.7.6 unless the dividend clearly represents a recovery of part of the cost of the investment.
- If such a mismatch would be created or enlarged, the entity is required to present all changes in fair value (including the effects of changes in the credit risk of the liability) in profit or loss. If such a mismatch would not be created or enlarged, the entity is required to present the effects of changes in the liability's credit risk in other comprehensive income.
- The fair value of a financial instrument at initial recognition is normally the transaction price (ie the fair value of the consideration given or received, see also paragraph B5.1.2A and IFRS 13). However, if part of the consideration given or received is for something other than the financial instrument, an entity shall measure the fair value of the financial instrument. For example, the fair value of a long-term loan or receivable that carries no interest can be measured as the present value of all future cash receipts discounted using the prevailing market rate(s) of interest for a similar instrument (similar as to currency, term, type of interest rate and other factors) with a similar credit rating. Any additional amount lent is an expense or a reduction of income unless it qualifies for recognition as some other type of asset.
- There are two types of components of nominal amounts that can be designated as the hedged item in a hedging relationship: a component that is a proportion of an entire item or a layer component. The type of component changes the accounting outcome. An entity shall designate the component for accounting purposes consistently with its risk management objective.
*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
ENVIRONMENTAL CLEAN TECHNOLOGIES LIMITED. is assigned short-term Ba1 & long-term Ba1 estimated rating. ENVIRONMENTAL CLEAN TECHNOLOGIES LIMITED. prediction model is evaluated with Modular Neural Network (Market News Sentiment Analysis) and Ridge Regression1,2,3,4 and it is concluded that the ECT stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: SellWait until speculative trend diminishes
ECT ENVIRONMENTAL CLEAN TECHNOLOGIES LIMITED. Financial Analysis*
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba1 | Ba1 |
Income Statement | Caa2 | B1 |
Balance Sheet | C | Caa2 |
Leverage Ratios | Baa2 | Baa2 |
Cash Flow | Baa2 | Caa2 |
Rates of Return and Profitability | Caa2 | Baa2 |
*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
- Dudik M, Erhan D, Langford J, Li L. 2014. Doubly robust policy evaluation and optimization. Stat. Sci. 29:485–511
- Li L, Chu W, Langford J, Moon T, Wang X. 2012. An unbiased offline evaluation of contextual bandit algo- rithms with generalized linear models. In Proceedings of 4th ACM International Conference on Web Search and Data Mining, pp. 297–306. New York: ACM
- Clements, M. P. D. F. Hendry (1995), "Forecasting in cointegrated systems," Journal of Applied Econometrics, 10, 127–146.
- Chen, C. L. Liu (1993), "Joint estimation of model parameters and outlier effects in time series," Journal of the American Statistical Association, 88, 284–297.
- Athey S, Tibshirani J, Wager S. 2016b. Generalized random forests. arXiv:1610.01271 [stat.ME]
- Brailsford, T.J. R.W. Faff (1996), "An evaluation of volatility forecasting techniques," Journal of Banking Finance, 20, 419–438.
- Allen, P. G. (1994), "Economic forecasting in agriculture," International Journal of Forecasting, 10, 81–135.
Frequently Asked Questions
Q: What is the prediction methodology for ECT stock?A: ECT stock prediction methodology: We evaluate the prediction models Modular Neural Network (Market News Sentiment Analysis) and Ridge Regression
Q: Is ECT stock a buy or sell?
A: The dominant strategy among neural network is to SellWait until speculative trend diminishes ECT Stock.
Q: Is ENVIRONMENTAL CLEAN TECHNOLOGIES LIMITED. stock a good investment?
A: The consensus rating for ENVIRONMENTAL CLEAN TECHNOLOGIES LIMITED. is SellWait until speculative trend diminishes and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of ECT stock?
A: The consensus rating for ECT is SellWait until speculative trend diminishes.
Q: What is the prediction period for ECT stock?
A: The prediction period for ECT is (n+4 weeks)