Torrent Power Ltd. Stock Forecast Period (n+1y) 19 May 2020


Stock Forecast


As of Tue May 19 2020 15:30:00 GMT+0000 (Coordinated Universal Time) shares of Torrent Power Ltd. 3.15 percentage change in price since the previous day's close. Around 5819820 of 480616768 changed hand on the market. The Stock opened at 295 with high and low of 291.45 and 318.5 respectively. The price/earnings ratio is: 9.98 and earning per share is 30.66. The stock quoted a 52 week high and low of 231.95 and 338.7 respectively.

BOSTON (AI Forecast Terminal) Tue, May 19, '20 AI Forecast today took the forecast actions: In the context of stock price realization of Torrent Power Ltd. is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals.Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines. Machine Learning based technical analysis (n+1y) for Torrent Power Ltd. as below:
Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations, we analyze the reaction of investors to speculations. Analyzing those data we were able to establish the amount by which each stock felt the speculative attacks, a dampening factor which expresses the capacity of a market of absorving a shock, and also a frequency related with volatility after the speculation. Using the correlation matrices, the speculative buffer for the shares of Torrent Power Ltd. as below:

Torrent Power Ltd. Credit Rating Overview


We rerate Torrent Power Ltd. deduct investments in insurance subsidiaries (as per paragraphs 41-43) and significant minority investments in financial institutions. We use econometric methods for period (n+1y) simulate with Electron Coupled Oscillators Lasso Regression. Reference code is: 2226. Beta DRL value REG 35 Rational Demand Factor LD 4068.7836. We do not treat repayments of leases as debt maturities (even if International Financial Reporting Standard 16 shows them as such in the cash flow statement) because we already have reduced FFO by such lease cash outflow. Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signals. Take a look at Machine Learning section for Financial Deep Reinforcement Learning.

Oscillators are used for generating credit risk signals by using the semantic and financial signals. The value of the oscillators indicate the strength of trend. Using the correlation matrices, the risk map for Torrent Power Ltd. as below:
Frequently Asked Questions Q:What is the credit rating id for this company?
A:6572294357648972173
Q:What is the credit rating date for this company?
A:Tuesday, May 19, 2020
Q:What is the AI credit rating?
A:AI credit rating is an evaluation of the credit risk of a prospective debtor, predicting their ability to pay back the debt, and an implicit machine learning forecast of the likelihood of the debtor defaulting.
Q:What is the AI credit rating scale?
A:AI rating scale, which ranges from a maximum Aaa to a minimum C, consists of 21 notches and two categories: Investment category for the financially sound companies and Speculative category for the companies with a higher risk of defaulting.
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