The stock price realization for LON:PCFT 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 Hartley Oscillator and Multiple Regression. Machine Learning based stock forecast (n+3m) for PCFT POLAR CAPITAL GLOBAL FIN. TST PLC as below: PCFT POLAR CAPITAL GLOBAL FIN. TST PLC Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct 2021 for (n+3m) We

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 10:55:02 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 NPS Pharmaceuticals, Inc.: We estimate the credit risk parameters by Moving Average Convergence Divergence (MACD) and Sign Test Credit Ratings for N

The stock price realization for LON:SEPL 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 Penetration and Lasso Regression. Machine Learning based stock forecast (n+1y) for SEPL SEPLAT PETROLEUM DEVELOPMENT CO.PLC as below: SEPL SEPLAT PETROLEUM DEVELOPMENT CO.PLC Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct 2021 for (n+1y) To assess

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 10:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with an anchor of at least 'bbb-' that meet certain characteristics, as outlined in paragraphs 38 and 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. Rating Model for American Transmission Company LLC: We estimate the credit risk parameters by Modified (Smoothed) Moving Average and Multiple Regression Credit Ratings for American Transmission Company LLC as of 08 Oct 2021

The stock price realization for NASDAQ:CYCN 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 Cross-Coupled Oscillators and Beta. Machine Learning based stock forecast (n+1y) for CYCN Cyclerion Therapeutics as below: CYCN Cyclerion Therapeutics Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct 2021 for (n+1y) Asset divestitures. We do not

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 09:55:02 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 International Bank of Commerce: We estimate the credit risk parameters by Money Flow Index (MFI) and Factor Credit Ratings for International Bank of Commerce as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B

The stock price realization for NSE:JSL 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 Chaikin Oscillator and ElasticNet Regression. Machine Learning based stock forecast (n+1y) for JSL Jindal Stainless Limited as below: JSL Jindal Stainless Limited Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct 2021 for (n+1y) The EBITDA declines co

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 09:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. Rating Model for FIRST VOLUNTEER CORPORATION: We estimate the credit risk parameters by Price Oscillator (PPO) and Wilcoxon Rank-Sum Test Credit Ratings for FIRST VOLUNTEER CORPORATION as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 42 44 Financial Signals 79 32 Risk Signals 43 62 Substantial Risks 87 68 Speculative Signals 73 76 *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.

The stock price realization for NASDAQ:TCPC 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 Independent T-Test. Machine Learning based stock forecast (n+1y) for TCPC BlackRock TCP Capital Corp. as below: TCPC BlackRock TCP Capital Corp. Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct 2021 for (n+1y) Larger, investme

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 08:55:02 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 EUREKA SAVINGS BANK: We estimate the credit risk parameters by Armstrong Oscillator and Pearson Correlation Credit Ratings for EUREKA SAVINGS BANK as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 69 43 Financial Signals 48 30

The stock price realization for LON:MMM 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 Hartley Oscillator and Ridge Regression. Machine Learning based stock forecast (n+3m) for MMM MINING, MINERALS & METALS PLC as below: MMM MINING, MINERALS & METALS PLC Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct 2021 for (n+3m) In additi

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 08:25:03 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 Bio: We estimate the credit risk parameters by Bollinger Bands and Chi-Square Credit Ratings for Bio as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba3 Semantic Signals 87 68 Financial Signals 85 69 Risk Signals 68 55 Substantial Risks 54 57 Speculative Signals 57 64 *Machine Learning utilizes multiple learning algorithms to obtain better predictive

The stock price realization for NSE:ORTEL 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 Sign-Rank Test. Machine Learning based stock forecast (n+6m) for ORTEL Ortel Communications Limited as below: ORTEL Ortel Communications Limited Stock Forecast (Buy or Sell) as of 08 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: 08 Oct 2021 for (n+6m) Shared facili

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 07:55:02 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 Magellan Midstream Partners L.P. Limited Partnership: We estimate the credit risk parameters by EMR and Chi-Square Credit Ratings for Magellan Midstream Partners L.P. Limited Partnership as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 83 73 Financial Signals 80 50 Risk Signals 86 58 Substantial Risks 86 33 Speculative Signals 45 35

The stock price realization for NYSE:MC 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 Williams %R and Independent T-Test. Machine Learning based stock forecast (n+6m) for MC Moelis & Company Class A as below: MC Moelis & Company Class A Stock Forecast (Buy or Sell) as of 08 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: 08 Oct 2021 for (n+6m) For these reasons, althoug

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 07:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Our liquidity uses include dividends and share repurchases that we expect under a stress scenario. Unlike other potential uses of liquidity, such as debt maturities or maintenance capital spending, we view dividends and share repurchases as more discretionary, although more so for the latter. For this reason, when evaluating a company's liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity. Rating Model for Maheshwari Logistics Limited: We estimate the credit risk parameters by Price and Sign Test Credit Ratings for Maheshwari Logistics Limited as of 08 Oct 2021

The stock price realization for NASDAQ:WORX 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 RC Phase Shift Oscillator and Pearson Correlation. Machine Learning based stock forecast (n+6m) for WORX SCWorx Corp. as below: WORX SCWorx Corp. Stock Forecast (Buy or Sell) as of 08 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: 08 Oct 2021 for (n+6m) When determining the cash to be inc

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 06:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given the earnings volatility companies experience, we have specified for these issuers a more stringent decline in EBITDA percentage for each liquidity category to the extent our cash flow forecasts are not already assuming a downside scenario. Rating Model for Korea Equity Fund, Inc. Common Stock: We estimate the credit risk parameters by Directional Movement Indicator and ElasticNet Regression Credit Ratings for Korea Equity Fund, Inc. Common Stock as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba2 Semantic Signals 76 59 Financial Signals 55 80 Risk Signals 79 59 Substantial Risks 76 60 Speculative Signals 69 84 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we ut

The stock price realization for LON:HUNT 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 Price and ElasticNet Regression. Machine Learning based stock forecast (n+15) for HUNT HUNTERS PROPERTY PLC as below: HUNT HUNTERS PROPERTY PLC Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct 2021 for (n+15) When determining the cash to be included

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 06:25:02 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 Resource America, Inc.: We estimate the credit risk parameters by Crystal Oscillators and Wilcoxon Sign-Rank Test Credit Ratings for Resource America, Inc. as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2

The stock price realization for NYSE:NUS 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 Delay-Line Oscillators and Chi-Square. Machine Learning based stock forecast (n+7) for NUS Nu Skin Enterprises as below: NUS Nu Skin Enterprises Stock Forecast (Buy or Sell) as of 08 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: 08 Oct 2021 for (n+7) Larger, investment-grade issuers that hav

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 05:55:02 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 Jiangsu Dewei Advanced Materials Co Ltd: We estimate the credit risk parameters by Modified (Smoothed) Moving Average and ANOVA Credit Ratings for Jiangsu Dewei Advanced Materials Co Ltd as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Caa2 B1 Semantic Signals 32 70 Financial Signals 35 68 Risk Signals 51 56 Substantial Risks 39 33 Speculative Signals 71 55 *Machine Learning utilizes multiple learning

The stock price realization for NASDAQ:NDAQ 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 OCL and Beta. Machine Learning based stock forecast (n+7) for NDAQ Nasdaq as below: NDAQ Nasdaq Stock Forecast (Buy or Sell) as of 08 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: 08 Oct 2021 for (n+7) While the existence of a commercial paper (CP) program can provide companies with alter

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 05:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Asset divestitures. We do not include asset sales as a source of liquidity unless they are contracted and proceeds will be received in the time period being measured under the liquidity descriptor (even when the disposed assets are reported under discontinued operations in a company's financial statements). Rating Model for Templeton Global Income Fund: We estimate the credit risk parameters by Exponential Moving Average (EMA) and Pearson Correlation Credit Ratings for Templeton Global Income Fund as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba2 Semantic Signals 32 55 Financial Signals 34 79 Risk Signals 39 78 Substantial Risks 64 72 Speculative Signals 80 59 *Machine Learning utilizes multiple learning algorithms to obta

The stock price realization for NYSE:RDS.A 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 Bollinger Bands and Spearman Correlation. Machine Learning based stock forecast (n+30) for RDS.A Royal Dutch Shell PLC Royal Dutch Shell American Depositary Shares (Each representing two Class A Ordinary Shares) as below: RDS.A Royal Dutch Shell PLC Royal Dutch Shell American Depositary Shares (Each representing two Class A Ordinary Shares) Stock Forecast (Buy or Sell) as of 08 Oct 2021 for (n+30) How Does Forecast Model Work? x axis:Likelihood % y axis:Potential Impa

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 04:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Given the earnings volatility companies experience, we have specified for these issuers a more stringent decline in EBITDA percentage for each liquidity category to the extent our cash flow forecasts are not already assuming a downside scenario. Rating Model for Netsuite Inc Common Stock: We estimate the credit risk parameters by Bollinger Bands Width and ElasticNet Regression Credit Ratings for Netsuite Inc Common Stock as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Caa2 Ba3 Semantic Signals 35 71 Financial Signals 54 89 Risk Signals 40 67 Substantial Risks 45 30 Speculative Signals 31 52 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to comb

The stock price realization for LON:SYNC 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 EMR and Pearson Correlation. Machine Learning based stock forecast (n+7) for SYNC SYNCONA LIMITED as below: SYNC SYNCONA LIMITED Stock Forecast (Buy or Sell) as of 08 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: 08 Oct 2021 for (n+7) In addition, a speculative-grade company's access to

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 04:25:02 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 Dalian East New Energy Developmnt Co Ltd: We estimate the credit risk parameters by Bollinger Bands %B and Wilcoxon Rank-Sum Test Credit Ratings for Dalian East New Energy Developmnt Co Ltd as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba3 Semantic Signals 56 43 Financial Signals 85 78 Risk Signals 83 33 Subs

The stock price realization for LON:LMP 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 Simple Regression. Machine Learning based stock forecast (n+6m) for LMP LONDONMETRIC PROPERTY PLC as below: LMP LONDONMETRIC PROPERTY PLC Stock Forecast (Buy or Sell) as of 08 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: 08 Oct 2021 for (n+6m) In our assessment

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 03:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. Rating Model for Luckin Coffee Inc - ADR: We estimate the credit risk parameters by Modified (Smoothed) Moving Average and Sign Test Credit Ratings for Luckin Coffee Inc - ADR as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 Ba3 Semantic Signals 76 90 Financial Signals 89 62 Risk Signals 59 30 Substantial Risks 88 89 Speculative Signals 32 46 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our researc

The stock price realization for NASDAQ:ADUS 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 On Balance Volume (OBV) and Pearson Correlation. Machine Learning based stock forecast (n+6m) for ADUS Addus HomeCare Corporation as below: ADUS Addus HomeCare Corporation Stock Forecast (Buy or Sell) as of 08 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: 08 Oct 2021 for (n+6m) Other fac

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 03:25:03 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 SNB HOLDINGS, INC.: We estimate the credit risk parameters by Bollinger Bands Width and Spearman Correlation Credit Ratings for SNB HOLDINGS, INC. as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 B1 Semantic Signals 37 38 Financial Signals 85 34 Risk Signals 77 73 Substantial Risks 70 70 Speculative Signals 56 67 *Ma

The stock price realization for NASDAQ:NTIC 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 Clapp Oscillators and Chi-Square. Machine Learning based stock forecast (n+6m) for NTIC Northern Technologies International Corporation as below: NTIC Northern Technologies International Corporation Stock Forecast (Buy or Sell) as of 08 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: 08 Oc

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 02:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Under times of stress, such actions could include dividend cuts, suspension of share repurchases, or maintenance of minimum cash balances. This is particularly relevant for exceptional and strong assessments, where issuers are required to carry higher levels of excess liquidity even during times of stress. For example, when assessing liquidity, we would generally expect companies to be able to cover the full amount of dividends and share repurchases included in our base-case forecast, while still maintaining excess liquidity and achieving the required A/B and A-B measures under a stress case. Rating Model for Mitsubishi UFJ Trust & Banking Corporation, New York Branch: We estimate the credit risk parameters by RRS and Lasso Regression Credit Ratings for Mitsubishi UFJ Trust & B

The stock price realization for NASDAQ:GFED 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 On Balance Volume (OBV) and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+30) for GFED Guaranty Federal Bancshares as below: GFED Guaranty Federal Bancshares Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct 2021 for (n+30) Ass

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 02:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model The EBITDA declines companies would have to withstand and still have defined sources cover defined uses are as follows for each liquidity descriptor: Adequate: Positive A-B, even if forecasted EBITDA declines by 30%.Weak: A/B or A-B reflecting a material deficit over the next 12 months. Rating Model for ROCKFIRE RESOURCES PLC: We estimate the credit risk parameters by Price Oscillator (PPO) and Logistic Regression Credit Ratings for ROCKFIRE RESOURCES PLC as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 45 41 Financial Signals 73 46 Risk Signals 64 85 Substantial Risks 78 40 Speculative Signals 52 36 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we

The stock price realization for NYSE:GLW 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 Expectation and Pearson Correlation. Machine Learning based stock forecast (n+3m) for GLW Corning Incorporated as below: GLW Corning Incorporated Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct 2021 for (n+3m) We do not assume future debt refinanci

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 01:55:03 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 The Bank of San Jacinto County, Coldspring, Texas: We estimate the credit risk parameters by Pearson-Anson Oscillators and ANOVA Credit Ratings for The Bank of San Jacinto County, Coldspring, Texas as of 08 Oct 2021 Credit Rating Short-Term

The stock price realization for NSE:MANGTIMBER 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 Delay-Line Oscillators and Multiple Regression. Machine Learning based stock forecast (n+1y) for MANGTIMBER Mangalam Timber Products Limited as below: MANGTIMBER Mangalam Timber Products Limited Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 01:25:02 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 WILLs Inc: We estimate the credit risk parameters by Dynatron Oscillators and Lasso Regression Credit Ratings for WILLs Inc as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 B2 Semantic Signals 79 36 Financial Signals 47 48 Risk Signals 82 67 Substantial Risks 75 44 Speculative Signals 83 74 *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.

The stock price realization for NASDAQ:OSUR 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 Ridge Regression. Machine Learning based stock forecast (n+30) for OSUR OraSure Technologies as below: OSUR OraSure Technologies Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct 2021 for (n+30) Shared facilities with capti

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 00:55:03 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 American Transmission Systems, Inc.: We estimate the credit risk parameters by Speculation and Multiple Regression Credit Ratings for American Transmission Systems, Inc. as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rat

The stock price realization for NASDAQ:EXPC 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 Lasso Regression. Machine Learning based stock forecast (n+15) for EXPC Experience Investment Corp. as below: EXPC Experience Investment Corp. Stock Forecast (Buy or Sell) as of 08 Oct 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: 08 Oct 2021 for (n+15) Likewise, we

BOSTON (AC Invest Credit Rating Terminal) Fri Oct 08 2021 00:25:02 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 Prevail Therapeutics Inc: We estimate the credit risk parameters by SMoothed Moving Average (SMMA) and Wilcoxon Sign-Rank Test Credit Ratings for Prevail Therapeutics Inc as of 08 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba3 Semantic Signals 71 58 Financial Signals 55 72 Risk Signals 84 37 Substantial Risks 88 71 Speculative Signals 55 68 *Machine Learning utilizes multiple learning algorithms to o

The stock price realization for NYSE:HXL 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 Lasso Regression. Machine Learning based stock forecast (n+1y) for HXL Hexcel Corporation as below: HXL Hexcel Corporation Stock Forecast (Buy or Sell) as of 07 Oct 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: 07 Oct 2021 for (n+1y) For companies that engage in reverse factoring--wh

BOSTON (AC Invest Credit Rating Terminal) Thu Oct 07 2021 23:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If we believe a company would use cash trapped at a foreign subsidiary to meet debt maturities or other liquidity uses at that foreign subsidiary, we would include this cash as a source of liquidity up to the amount of the corresponding use. We generally haircut the cash to be included under sources when a material proportion of a group's cash is held in a different part of the structure than where the debt is located, and we believe the cash may not be fully fungible within the group. Rating Model for ZENRIN CO.LTD.: We estimate the credit risk parameters by Voltage Controlled Oscillator and Paired T-Test Credit Ratings for ZENRIN CO.LTD. as of 07 Oct 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 60 86 Financial Signals

The stock price realization for NASDAQ:BRID 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 Keltner Channels and Independent T-Test. Machine Learning based stock forecast (n+15) for BRID Bridgford Foods Corporation as below: BRID Bridgford Foods Corporation Stock Forecast (Buy or Sell) as of 07 Oct 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: 07 Oct 2021 for (n+15) To assess an is