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Showing posts from October, 2021

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NASDAQ:DMPI Stock Forecast by Speculation with Wilcoxon Rank-Sum Test

The stock price realization for NASDAQ:DMPI 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 with Speculation and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+6m) for DMPI DelMar Pharmaceuticals as below: DMPI DelMar Pharmaceuticals Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+6m) In this scenario, we would

Ascent Solar Technologies, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 10:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. Rating Model for Ascent Solar Technologies, Inc.: We estimate the credit risk parameters by Aroon and Linear Regression Credit Ratings for Ascent Solar Technologies, Inc. as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 65 70 Financial Signals 58 74 Risk Signals 39 79 Substantial Risks 80 30 Speculative Signals 30 32 *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.

LON:RBN Stock Forecast Outlook:Negative by RRS with ANOVA

The stock price realization for LON:RBN 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 with RRS and ANOVA. Machine Learning based stock forecast (n+1y) for RBN ROBINSON PLC as below: RBN ROBINSON PLC Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+1y) We do not treat repayments of leases as debt maturities (even if Internationa

GB Global Limited Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 10:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public markets. Rating Model for GB Global Limited: We estimate the credit risk parameters by Clapp Oscillators and Lasso Regression Credit Ratings for GB Global Limited as of 01 No

NASDAQ:LIVX Stock Forecast by Wien Bridge Oscillator with Pearson Correlation

The stock price realization for NASDAQ:LIVX 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 with Wien Bridge Oscillator and Pearson Correlation. Machine Learning based stock forecast (n+15) for LIVX LiveXLive Media as below: LIVX LiveXLive Media Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+15) For exceptional and strong liqui

Blackstone GSO Long Short Credit Income Fund Common Shares Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 09:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When determining the cash to be included under sources (A), we use cash that will be available to cover monetary outflows. As a result, we may make haircuts to account for cash trapped overseas (for example, haircut for taxes payable upon repatriation of cash held abroad), apply a discount to lower-quality marketable securities, and exclude restricted cash held for specific purposes. Rating Model for Blackstone GSO Long Short Credit Income Fund Common Shares: We estimate the credit risk parameters by Bollinger Bands Width and Spearman Correlation Credit Ratings for Blackstone GSO Long Short Credit Income Fund Common Shares as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 37 89 Financial Signals 83 61 Risk Signals 7

NASDAQ:PRAH Stock Forecast by Volume + Moving Average with Paired T-Test

The stock price realization for NASDAQ:PRAH 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 with Volume + Moving Average and Paired T-Test. Machine Learning based stock forecast (n+3m) for PRAH PRA Health Sciences as below: PRAH PRA Health Sciences Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+3m) The various qualitative facto

Bricktown Brewery Restaurants LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 09:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Additionally, we exclude revolver borrowing availability that we believe would be inaccessible due to covenant constraints. For revolving credit facilities with extension options, we include the extension period(s) under sources of liquidity only if the option is at the discretion of the borrower. If lenders have the option to terminate commitments at each extension point, we only include the borrowing availability under the facility up to the first extension date. Rating Model for Bricktown Brewery Restaurants LLC: We estimate the credit risk parameters by Electron Coupled Oscillators and Stepwise Regression Credit Ratings for Bricktown Brewery Restaurants LLC as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba3 Semantic Signals 51 60

NYSE:SYF Stock Forecast by Triple Exponential Moving Average (TRIX) with Factor

The stock price realization for NYSE:SYF 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 with Triple Exponential Moving Average (TRIX) and Factor. Machine Learning based stock forecast (n+7) for SYF Synchrony Financial as below: SYF Synchrony Financial Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+7) If a company has a credit p

Texana Bank, National Association Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 08:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our view of a company's financial policy is an important input when assessing its current and future liquidity position. For instance, we assess whether a company has historically had a higher risk appetite and an aggressive acquisition strategy that has strained its liquidity position, or whether it has taken actions to preserve liquidity in past downturns. Rating Model for Texana Bank, National Association: We estimate the credit risk parameters by Stochastic Oscillator and Multiple Regression Credit Ratings for Texana Bank, National Association as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 86 38 Financial Signals 31 66 Risk Signals 88 62 Substantial Risks 41 74 Speculative Signals 63 55 *Machine Learn

NASDAQ:ASPS Stock Forecast Outlook:Negative by Voltage Controlled Oscillator with Lasso Regression

The stock price realization for NASDAQ:ASPS 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 with Voltage Controlled Oscillator and Lasso Regression. Machine Learning based stock forecast (n+1y) for ASPS Altisource Portfolio Solutions S.A. as below: ASPS Altisource Portfolio Solutions S.A. Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021

THT Heat Transfer Technology, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 08:25:07 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When assessing strong or exceptional liquidity, we include all forecasted capital expenditures over the next 24 months, including discretionary growth capital spending. Rating Model for THT Heat Transfer Technology, Inc.: We estimate the credit risk parameters by Clapp Oscillators and Pearson Correlation Credit Ratings for THT Heat Transfer Technology, Inc. as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba2 Semantic Signals 52 68 Financial Signals 78 66 Risk Signals 87 73 Substantial Risks 70 42 Speculative Signals 69 90 *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 Machine

NYSE:TEI Stock Forecast by Average True Range (ATR) with Simple Regression

The stock price realization for NYSE:TEI 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 with Average True Range (ATR) and Simple Regression. Machine Learning based stock forecast (n+6m) for TEI Templeton Emerging Markets Income Fund as below: TEI Templeton Emerging Markets Income Fund Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 fo

Tronox Finance LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 07:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that it can be difficult to identify outstanding CP at any point in time, when considering coverage, we may include our expectations for peak outstanding CP during the year as opposed to CP balances as of the last filing date, especially if we believe reported balances are not reflective of typical borrowing patterns. Rating Model for Tronox Finance LLC: We estimate the credit risk parameters by Psychological Line (PSY) and Pearson Correlation Credit Ratings for Tronox Finance LLC as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B2 Semantic Signals 48 35 Financial Signals 51 31 Risk Signals 77 58 Substantial Risks 83 78 Speculative Signals 63 65 *Machine Learning utilizes multiple learning algorithms to obtain better predic

LON:BGHS Stock Forecast Outlook:Negative by Dynatron Oscillators with ElasticNet Regression

The stock price realization for LON:BGHS 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 with Dynatron Oscillators and ElasticNet Regression. Machine Learning based stock forecast (n+6m) for BGHS BOUSSARD & GAVAUDAN HOLDING LTD as below: BGHS BOUSSARD & GAVAUDAN HOLDING LTD Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n

Acrisure, LLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 07:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Acrisure, LLC: We estimate the credit risk parameters by Dynatron Oscillators and Wilcoxon Sign-Rank Test Credit Ratings for Acrisure, LLC as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba3 Semantic Signals 62 64 Financial Signals 80 68 Risk Signals 65 39 Substantial Risks 78 82 Speculative Signals 76 53 *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 Supp

NASDAQ:UBCP Stock Forecast by Crystal Oscillators with ANOVA

The stock price realization for NASDAQ:UBCP 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 with Crystal Oscillators and ANOVA. Machine Learning based stock forecast (n+15) for UBCP United Bancorp as below: UBCP United Bancorp Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+15) When calculating sources of liquidity, we only incl

Golden Enterprises, Inc. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 06:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model 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. Rating Model for Golden Enterprises, Inc.: We estimate the credit risk parameters by Multi-Wave Oscillators and ANOVA Credit Ratings for Golden Enterprises, Inc. as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 45 61 Financial Signals 71 37 Risk Signals 52 34 Substantial Risks 58 66 Speculative Signals 88 80 *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

NASDAQ:MBII Stock Forecast by FS with Simple Regression

The stock price realization for NASDAQ:MBII 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 with FS and Simple Regression. Machine Learning based stock forecast (n+1y) for MBII Marrone Bio Innovations as below: MBII Marrone Bio Innovations Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+1y) When determining the cash to be includ

China Titans Energy Technology Group Co Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 06:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When evaluating uses of liquidity, we include all debt maturities over the liquidity horizon that are either recourse to the company, or nonrecourse that we believe the company will support even in times of stress. In cases where the debt includes a put option held by debtholders, we will consider the date of the put option the effective debt maturity--i.e., we will assume the debt will need to be repaid/refinanced on the day the put can be first exercised. Rating Model for China Titans Energy Technology Group Co: We estimate the credit risk parameters by Penetration and Paired T-Test Credit Ratings for China Titans Energy Technology Group Co as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B2 Semantic Signals 81 36 Financial Signals

NSE:NDGL Stock Forecast by Exponential Moving Average (EMA) with ElasticNet Regression

The stock price realization for NSE:NDGL 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 with Exponential Moving Average (EMA) and ElasticNet Regression. Machine Learning based stock forecast (n+6m) for NDGL Naga Dhunseri Group Limited as below: NDGL Naga Dhunseri Group Limited Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+6m)

Xoom Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 05:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model When calculating sources of liquidity, we only include the undrawn, available portion of committed bank lines maturing beyond the specified time horizon for each liquidity descriptor. For example, when assessing liquidity as adequate, we only include a committed revolving credit facility as a source if it matured beyond the next 12 months. Similarly, given that our liquidity assessment looks out over two years when assessing liquidity as strong or exceptional, we only include a facility maturing beyond 24 months as a source of liquidity. Rating Model for Xoom Corporation: We estimate the credit risk parameters by Money Flow Index (MFI) and Sign Test Credit Ratings for Xoom Corporation as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba2

NSE:BALPHARMA Stock Forecast by Parabolic SAR (PSAR) with Linear Regression

The stock price realization for NSE:BALPHARMA 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 with Parabolic SAR (PSAR) and Linear Regression. Machine Learning based stock forecast (n+30) for BALPHARMA Bal Pharma Limited as below: BALPHARMA Bal Pharma Limited Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+30) For exceptional an

CIM Commercial Trust Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 05:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given that we exclude proposed "best efforts" or potential financings as a source of liquidity, we also exclude from uses of liquidity acquisitions and other discretionary spending that are contingent on the successful issuance of new financing to support the proposed transaction. Rating Model for CIM Commercial Trust Corporation: We estimate the credit risk parameters by Gunn Oscillator and Pearson Correlation Credit Ratings for CIM Commercial Trust Corporation as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 31 49 Financial Signals 43 63 Risk Signals 80 68 Substantial Risks 83 45 Speculative Signals 31 68 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In

NSE:RITES Stock Forecast by Opto-Electronic Oscillators with Lasso Regression

The stock price realization for NSE:RITES 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 with Opto-Electronic Oscillators and Lasso Regression. Machine Learning based stock forecast (n+1y) for RITES RITES Limited as below: RITES RITES Limited Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+1y) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+1y) If a company has a credit put that

IRONVELD PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 04:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In these cases, the level of capital expenditures will be lower than estimates in our base-case forecast to determine an issuer's financial risk profile, particularly for companies that are pursuing discrete growth projects that have not been committed or can be easily curtailed in case of a need to preserve cash. Rating Model for IRONVELD PLC: We estimate the credit risk parameters by Dynatron Oscillators and ElasticNet Regression Credit Ratings for IRONVELD PLC as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Baa2 Semantic Signals 72 80 Financial Signals 77 84 Risk Signals 32 89 Substantial Risks 37 63 Speculative Signals 57 74 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our

NASDAQ:FTXN Stock Forecast by Meissner Oscillators with Independent T-Test

The stock price realization for NASDAQ:FTXN 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 with Meissner Oscillators and Independent T-Test. Machine Learning based stock forecast (n+30) for FTXN First Trust Nasdaq Oil & Gas ETF as below: FTXN First Trust Nasdaq Oil & Gas ETF Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for

Ready Capital Corp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 04:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not exclude cash that the company needs to maintain to run the business and meet potential working capital requirements. Since working capital outflows are included under uses (B) of liquidity, system-related cash needed to run the business should be included in sources, along with items such as customer advances. Rating Model for Ready Capital Corp: We estimate the credit risk parameters by Royer Oscillators and Spearman Correlation Credit Ratings for Ready Capital Corp as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba2 Semantic Signals 86 69 Financial Signals 37 81 Risk Signals 37 63 Substantial Risks 85 73 Speculative Signals 70 60 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powe

NASDAQ:SVC Stock Forecast by Gunn Oscillator with Sign Test

The stock price realization for NASDAQ:SVC 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 with Gunn Oscillator and Sign Test. Machine Learning based stock forecast (n+3m) for SVC Service Properties Trust as below: SVC Service Properties Trust Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+3m) To assess an issuer's standing

ACCENTRO R.EST.AG O.N. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 03:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We do not exclude cash that the company needs to maintain to run the business and meet potential working capital requirements. Since working capital outflows are included under uses (B) of liquidity, system-related cash needed to run the business should be included in sources, along with items such as customer advances. Rating Model for ACCENTRO R.EST.AG O.N.: We estimate the credit risk parameters by Dynatron Oscillators and Independent T-Test Credit Ratings for ACCENTRO R.EST.AG O.N. as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Baa2 Semantic Signals 30 82 Financial Signals 43 88 Risk Signals 90 62 Substantial Risks 38 87 Speculative Signals 60 53 *Machine Learning utilizes multiple learning algorithms to obtain better pred

NYSE:RLI Stock Forecast by Sustainability with Factor

The stock price realization for NYSE:RLI 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 with Sustainability and Factor. Machine Learning based stock forecast (n+15) for RLI RLI Corp. as below: RLI RLI Corp. Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+15) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+15) Shared facilities with captive finance entities. When an issuer has a

Paiho Shih Holdings Corp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 03:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model To assess an issuer's standing in the credit markets, we may look at factors such as equity, debt, and credit default swaps (CDS) trading levels, where available, relative to peers and market averages. For example, lower-than-average debt trading levels or widening rating-adjusted spreads relative to market averages may indicate decreasing market confidence about a company's prospects and ability to meet its debt maturities. As a result, the company could have increased difficulty accessing the capital markets. Rating Model for Paiho Shih Holdings Corp: We estimate the credit risk parameters by Volume and Simple Regression Credit Ratings for Paiho Shih Holdings Corp as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Caa1 Semantic

LON:ELTA Stock Forecast by Adaptive Moving Average with Sign Test

The stock price realization for LON:ELTA 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 with Adaptive Moving Average and Sign Test. Machine Learning based stock forecast (n+3m) for ELTA ELECTRA PRIVATE EQUITY PLC as below: ELTA ELECTRA PRIVATE EQUITY PLC Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+3m) We do not treat repaym

Saurer Intelligent Technology Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 02:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For these reasons, although the criteria establish no rating threshold for liquidity, we typically expect: Instances of 'B+' and below rated issuers achieving liquidity descriptors higher than adequate to be rare and Few companies to qualify for the exceptional category, and these entities to typically have issuer credit ratings of 'BBB-' or above. Rating Model for Saurer Intelligent Technology Co Ltd: We estimate the credit risk parameters by Commodity Channel Index and Ridge Regression Credit Ratings for Saurer Intelligent Technology Co Ltd as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 45 40 Financial Signals 88 83 Risk Signals 47 36 Substantial Risks 38 84 Speculative Signals 81 43 *Mach

NYSE:MYF Stock Forecast by Envelope (ENV) with ANOVA

The stock price realization for NYSE:MYF 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 with Envelope (ENV) and ANOVA. Machine Learning based stock forecast (n+30) for MYF Blackrock MuniYield Investment Fund as below: MYF Blackrock MuniYield Investment Fund Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+30) Likewise, we do not

MainStay DefinedTerm Municipal Opportunities Fund Common Shares of Beneficial Interest Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 02:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model We believe that when a company is viewed as being on the cusp between two liquidity descriptors and has higher-than-average cash plus inventory/unadjusted debt compared with similarly constituted peers, that helps support the better liquidity assessment. However, in the case of a nonresidential developer, given that its inventory is typically less liquid (and the greater potential for inventory to suffer value erosion in a downturn), we do not consider this measure as pertinent. Rating Model for MainStay DefinedTerm Municipal Opportunities Fund Common Shares of Beneficial Interest: We estimate the credit risk parameters by On Balance Volume (OBV) and ElasticNet Regression Credit Ratings for MainStay DefinedTerm Municipal Opportunities Fund Common Shares of Beneficial Interest as of 01

LON:STA Stock Forecast Outlook:Negative by Rating with Wilcoxon Sign-Rank Test

The stock price realization for LON:STA 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 with Rating and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+7) for STA STAR PHOENIX GROUP LTD as below: STA STAR PHOENIX GROUP LTD Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+7) If, for example, a facility matured in

Hunan XiangJiang New Area Development Group Co., Ltd. Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 01:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For these reasons, although the criteria establish no rating threshold for liquidity, we typically expect: Instances of 'B+' and below rated issuers achieving liquidity descriptors higher than adequate to be rare and Few companies to qualify for the exceptional category, and these entities to typically have issuer credit ratings of 'BBB-' or above. Rating Model for Hunan XiangJiang New Area Development Group Co., Ltd.: We estimate the credit risk parameters by Running Moving Average (RMA) and Beta Credit Ratings for Hunan XiangJiang New Area Development Group Co., Ltd. as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B3 Semantic Signals 76 46 Financial Signals 35 65 Risk Signals 71 35 Substantial Risks 79 55 Specul

NASDAQ:BANX Stock Forecast by KDJ with Wilcoxon Sign-Rank Test

The stock price realization for NASDAQ:BANX 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 with KDJ and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+3m) for BANX StoneCastle Financial Corp as below: BANX StoneCastle Financial Corp Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+3m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+3m) For these reasons, althou

Medallion Financial Corp Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 01:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The various qualitative factors in the criteria help to identify strengths and weaknesses within a company's future liquidity position that numerical ratios might not fully capture. While there is no size bias in our liquidity assessment, generally, lower-rated entities might meet the quantitative requirements for strong or exceptional liquidity but fail to meet corresponding qualitative factors. Rating Model for Medallion Financial Corp: We estimate the credit risk parameters by Tuned Collector Oscillator and Simple Regression Credit Ratings for Medallion Financial Corp as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 33 57 Financial Signals 53 41 Risk Signals 52 33 Substantial Risks 65 84 Speculative Signal

NSE:RATNAMANI Stock Forecast by Moving Average Convergence Divergence (MACD) with Beta

The stock price realization for NSE:RATNAMANI 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 with Moving Average Convergence Divergence (MACD) and Beta. Machine Learning based stock forecast (n+7) for RATNAMANI Ratnamani Metals & Tubes Limited as below: RATNAMANI Ratnamani Metals & Tubes Limited Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast

PETRA DIAMONDS LIMITED Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 00:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model To assess forecasted working capital outflows for companies with material intra-year working capital requirements (for example, companies in seasonal businesses), we use forecasted peak working capital outflows, per paragraph 32 of the liquidity criteria. For seasonal businesses, in many cases the annual projection might indicate a working capital inflow or neutral working capital, even though there could be material intra-quarter or inter-quarter outflows throughout the year. Rating Model for PETRA DIAMONDS LIMITED: We estimate the credit risk parameters by Speculation and Ridge Regression Credit Ratings for PETRA DIAMONDS LIMITED as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 B3 Semantic Signals 76 44 Financial Signals 32 33 Risk

LON:COST Stock Forecast Outlook:Negative by Triple Exponential Moving Average (TRIX) with Stepwise Regression

The stock price realization for LON:COST 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 with Triple Exponential Moving Average (TRIX) and Stepwise Regression. Machine Learning based stock forecast (n+6m) for COST COSTAIN GROUP PLC as below: COST COSTAIN GROUP PLC Stock Forecast (Buy or Sell) as of 01 Nov 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 01 Nov 2021 for (n+6m) In addition,

DURECT Corporation Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Mon Nov 01 2021 00:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model While we only include contractual acquisitions when calculating A/B and A-B, when evaluating qualitative factors, we focus more on a company's track record and our expectation for financial management. In this respect, the quantitative and qualitative factors under the liquidity criteria are meant to complement each other and produce a more comprehensive view of a company's future liquidity position. Rating Model for DURECT Corporation: We estimate the credit risk parameters by Multi-Wave Oscillators and Spearman Correlation Credit Ratings for DURECT Corporation as of 01 Nov 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 58 35 Financial Signals 74 60 Risk Signals 47 55 Substantial Risks 35 71 Speculative Signals 37

NASDAQ:AGNC Stock Forecast by Stochastic Oscillator with Simple Regression

The stock price realization for NASDAQ:AGNC 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 with Stochastic Oscillator and Simple Regression. Machine Learning based stock forecast (n+6m) for AGNC AGNC Investment Corp. as below: AGNC AGNC Investment Corp. Stock Forecast (Buy or Sell) as of 31 Oct 2021 for (n+6m) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 31 Oct 2021 for (n+6m) In these cases, the lev

BIDSTACK GROUP PLC Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Oct 31 2021 23:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public markets. Rating Model for BIDSTACK GROUP PLC: We estimate the credit risk parameters by Crystal Oscillators and Beta Credit Ratings for BIDSTACK GROUP PLC as of 31 Oct 2021

NASDAQ:KBWY Stock Forecast Outlook:Negative by Pearson-Anson Oscillators with Linear Regression

The stock price realization for NASDAQ:KBWY 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 with Pearson-Anson Oscillators and Linear Regression. Machine Learning based stock forecast (n+7) for KBWY Invesco KBW Premium Yield Equity REIT ETF as below: KBWY Invesco KBW Premium Yield Equity REIT ETF Stock Forecast (Buy or Sell) as of 31 Oct 2021 for (n+7) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impact % z axis:Color (yellow to green) Technical Analysis % Stock Forecast Rationales & Estimation Model Time series to forecast n: 31 O

Solareast Holdings Co Ltd Credit Rating & Financial Statements Analysis

BOSTON (AC Invest Credit Rating Terminal) Sun Oct 31 2021 23:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Likewise, we do not consider factoring programs under sources of liquidity. Unlike asset-based lending (ABL) facilities, factoring is more of a sales transaction and not a loan. In addition, these transactions tend to be very short term. For this reason, we would not consider them a committed source of future liquidity over a 12-month period. Rating Model for Solareast Holdings Co Ltd: We estimate the credit risk parameters by Speculation and Spearman Correlation Credit Ratings for Solareast Holdings Co Ltd as of 31 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 Ba3 Semantic Signals 46 62 Financial Signals 68 81 Risk Signals 31 55 Substantial Risks 83 71 Speculative Signals 63 45 *Machine Learning utilizes multiple learning algorithms to

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