The stock price realization for NYSE:TVE 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 Royer Oscillators and Chi-Square. Machine Learning based stock forecast (n+30) for TVE Tennessee Valley Authority as below: TVE Tennessee Valley Authority Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+30) Larger, investment-grade issu

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 10:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. Rating Model for Forbes Energy Services Ltd: We estimate the credit risk parameters by Price Oscillator (PPO) and Pearson Correlation Credit Ratings for Forbes Energy Services Ltd as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 54 48 Financial Sign

The stock price realization for NSE:RAMANEWS 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 Tuned Collector Oscillator and Lasso Regression. Machine Learning based stock forecast (n+6m) for RAMANEWS Shree Rama Newsprint Limited as below: RAMANEWS Shree Rama Newsprint Limited Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 10:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model While the existence of a commercial paper (CP) program can provide companies with alternative sources of short-term funding, such a program would not be considered a committed source of liquidity. Additionally, we do not require the presence of a committed facility to back up the full size of the CP program. For liquidity to be at least adequate, an issuer would need sources of liquidity (for example, committed facility and/or cash balances) to cover at least 100% of expected intra-year debt maturities, including CP, over the next 12 months. Rating Model for Walvax Biotechnology Co Ltd: We estimate the credit risk parameters by Armstrong Oscillator and Ridge Regression Credit Ratings for Walvax Biotechnology Co Ltd as of 27 Aug 2021 Credit Rating Short-Term Long-Term Se

The stock price realization for LON:CAPD 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 Robinson Oscillators and Sign Test. Machine Learning based stock forecast (n+7) for CAPD CAPITAL DRILLING LD as below: CAPD CAPITAL DRILLING LD Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+7) In this scenario, we would still include t

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 09:55:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model For exceptional and strong liquidity assessments, we characterize standing in the credit markets as generally high, and for adequate liquidity, we view standing in the credit markets as satisfactory. We distinguish between these descriptors based on analytical judgment and mainly consider the diversity of funding sources available to an entity. Rating Model for LEKOIL LIMITED: We estimate the credit risk parameters by Rank Correlation Index (RCI) and Beta Credit Ratings for LEKOIL LIMITED as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 47 76 Financial Signals 32 33 Risk Signals 61 65 Substantial Risks 45 71 Speculative Signals 51 35 *Machine Learning utilizes multiple learning algorithms to obtain better predi

The stock price realization for NASDAQ:HEAR 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 Rate of Change (ROC) and Simple Regression. Machine Learning based stock forecast (n+6m) for HEAR Turtle Beach Corporation as below: HEAR Turtle Beach Corporation Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+6m) Given that we excl

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 09:25:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model Other factors we consider include a company's frequency of debt issuance and market access, especially during times of company-specific stress or credit market turbulence. Rating Model for Mueller Industries, Inc. Common Stock: We estimate the credit risk parameters by SMoothed Moving Average (SMMA) and Polynomial Regression Credit Ratings for Mueller Industries, Inc. Common Stock as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 Ba1 Semantic Signals 40 61 Financial Signals 80 72 Risk Signals 30 79 Substantial Risks 57 56 Speculative Signals 31 89 *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

The stock price realization for NYSE:PG 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 Channels and Linear Regression. Machine Learning based stock forecast (n+6m) for PG Procter & Gamble Company (The) as below: PG Procter & Gamble Company (The) Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+6m) For these re

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 08:55:02 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 Sundrug Co Ltd: We estimate the credit risk parameters by Trend and Pearson Correlation Credit Ratings for Sundrug Co Ltd as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba3 Ba1 Semantic Signals 77 62 Financial Signals 72 47 Risk Signals 39 83 Substantial Risks 84 78 Speculative Signals 63 82 *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 Machin

The stock price realization for LON:PANR 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 Beta. Machine Learning based stock forecast (n+6m) for PANR PANTHEON RESOURCES PLC as below: PANR PANTHEON RESOURCES PLC Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+6m) In these cases, the level of capital expendi

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 08:25:02 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 21LADY Co., Ltd.: We estimate the credit risk parameters by Price and Ridge Regression Credit Ratings for 21LADY Co., Ltd. as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Baa2 Ba2 Semantic Signals 80 37 Financial Signals 83 85 Risk Signals 84 77 Substantial Risks 66 86 Speculative Signals 61 51 *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

The stock price realization for NSE:UNIVPHOTO 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 Sign Test. Machine Learning based stock forecast (n+3m) for UNIVPHOTO Universus Photo Imagings Limited as below: UNIVPHOTO Universus Photo Imagings Limited Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+3m) To

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 07:55:03 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 DKS Co Ltd: We estimate the credit risk parameters by Heikin-Ashi and ANOVA Credit Ratings for DKS Co Ltd as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 63 80 Financial Signals 72 62 Risk Signals 38 66 Substan

The stock price realization for NASDAQ:GHIV 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 Beta. Machine Learning based stock forecast (n+1y) for GHIV Gores Holdings IV as below: GHIV Gores Holdings IV Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+1y) Given that we exclude proposed "best efforts"

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 07:25:02 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 TRIUMPH BANK: We estimate the credit risk parameters by Pearson-Anson Oscillators and Sign Test Credit Ratings for TRIUMPH BANK as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 42 82 Financial Signals 74 69 Risk Signals 61 4

The stock price realization for NASDAQ:YVR 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 Polynomial Regression. Machine Learning based stock forecast (n+7) for YVR Liquid Media Group Ltd. as below: YVR Liquid Media Group Ltd. Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+7) We do not exc

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 06:55:02 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 Frontier Bancshares Inc.: We estimate the credit risk parameters by FS and Polynomial Regression Credit Ratings for Frontier Bancshares Inc. as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba2 Semantic Signals 67 78 Financial Signals 44 52 Ri

The stock price realization for NYSE:RL 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 Royer Oscillators and Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+15) for RL Ralph Lauren Corporation as below: RL Ralph Lauren Corporation Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+15) Investments should be a

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 06:25:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an extension of bank lines--regardless of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade, we do not assume bank lines will be extended beyond the current stated maturity. Rating Model for Axiall Corporation: We estimate the credit risk parameters by Royer Oscillators and Polynomial Regression Credit Ratings for Axiall Corporation as of 27 A

The stock price realization for NYSE:WBAI 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 ANOVA. Machine Learning based stock forecast (n+30) for WBAI 500.com Limited American Depositary Shares as below: WBAI 500.com Limited American Depositary Shares Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 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 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 WESTMOUNT ENERGY LIMITED: We estimate the credit risk parameters by Price Channels and Wilcoxon Rank-Sum Test Credit Ratings for WESTMOUNT ENERGY LIMITED as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B2 Semantic Signals 85 37 Financial Signals 79 43 Risk Signals 70 79 Substantial Risks 31 41 Speculative Signals 39 57 *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 Net

The stock price realization for NASDAQ:CTMX 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 Lasso Regression. Machine Learning based stock forecast (n+1y) for CTMX CytomX Therapeutics as below: CTMX CytomX Therapeutics Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+1y) When assessing strong or exception

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 05:25:02 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 Jefferies Finance, LLC: We estimate the credit risk parameters by On Balance Volume (OBV) and Wilcoxon Rank-Sum Test Credit Ratings for Jefferies Finance, LLC as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 Ba3 Semantic Signals 82 64 Financial Signals 39 67 Risk Signals 41 30 Substantial Risks 35 69 Speculative Signals 67 87 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neur

The stock price realization for LON:SMT 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+3m) for SMT SCOTTISH MORTGAGE INV TST PLC as below: SMT SCOTTISH MORTGAGE INV TST PLC Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+3m) Our liquidity us

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 04:55:03 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 BANK OF DE SOTO NA: We estimate the credit risk parameters by Ichimoku Cloud (IKH) and Paired T-Test Credit Ratings for BANK OF DE SOTO NA as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B

The stock price realization for NASDAQ:LMPX 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 Tuned Collector Oscillator and Polynomial Regression. Machine Learning based stock forecast (n+1y) for LMPX LMP Automotive Holdings as below: LMPX LMP Automotive Holdings Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+1y) In our ass

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 04:25:02 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 Presidio Holdings, Inc.: We estimate the credit risk parameters by Expectation and Simple Regression Credit Ratings for Presidio Holdings, Inc. as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 66 74 Financial Signals 33 32 Risk Signals 58 60 Substantial Risks 55 33 Speculative Signals 68 76 *Machine Learning utilizes multiple learning a

The stock price realization for LON:LGRS 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 ElasticNet Regression. Machine Learning based stock forecast (n+15) for LGRS LOUNGERS PLC as below: LGRS LOUNGERS PLC Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+15) While we only include contractua

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 03:55:02 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 Advent Claymore Convertible Securities and Income Fund: We estimate the credit risk parameters by Average True Range (ATR) and Independent T-Test Credit Ratings for Advent Claymore Convertible Securities and Income Fund as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba2 B1 Semantic Signals 65 30 Financial Signals 69 64 Risk Signals 84 63 Substantial Risks 81 5

The stock price realization for NASDAQ:TCON 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 ElasticNet Regression. Machine Learning based stock forecast (n+7) for TCON TRACON Pharmaceuticals as below: TCON TRACON Pharmaceuticals Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+7) Given that it ca

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 03:25:02 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 FUTURA MEDICAL PLC: We estimate the credit risk parameters by Bollinger Bands %B and Wilcoxon Sign-Rank Test Credit Ratings for FUTURA MEDICAL PLC as of 27 Aug 2021 Credit

The stock price realization for NASDAQ:EXAS 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 Polynomial Regression. Machine Learning based stock forecast (n+3m) for EXAS Exact Sciences Corporation as below: EXAS Exact Sciences Corporation Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+3m) Our l

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 02:55:03 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 FIRST NATIONAL BANK: We estimate the credit risk parameters by Expectation and Independent T-Test Credit Ratings for FIRST NATIONAL BANK as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 90 76 Financial Signals 42 63 Risk Si

The stock price realization for NASDAQ:CASY 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 Beta. Machine Learning based stock forecast (n+30) for CASY Caseys General Stores as below: CASY Caseys General Stores Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+30) Our view of a company's financ

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 02:25:02 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 ORIX Corporation: We estimate the credit risk parameters by Demand and Simple Regression Credit Ratings for ORIX Corporation as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B2 Semantic Signals 33 85 Financial Signals 70 35 Risk Signals 54 71 Substantial Risks 68 30 Speculative Signals 38 44 *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

The stock price realization for NYSE:JBL 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 Colpitts Oscillator and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+15) for JBL Jabil Circuit as below: JBL Jabil Circuit Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+15) When assessing strong or exceptional liqu

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 01:55:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below: Credit Rating Rationales & Model If, for example, a facility matured in 18 months, we could include the borrowing availability as a source of liquidity in year one, but exclude the amount in year two under the exceptional and strong descriptors (as well as include any drawn portions as debt maturities under uses of liquidity). This is because we do not assume an extension of bank lines--regardless of the company's perceived credit strength or issuer credit rating. For instance, whether the issuer credit rating on the company is speculative grade or investment grade, we do not assume bank lines will be extended beyond the current stated maturity. Rating Model for ARCA biopharma, Inc.: We estimate the credit risk parameters by Ratiocator (RAT) and Simple Regression Credit Ratings for ARCA biopharma, Inc. as of 27 Au

The stock price realization for NASDAQ:RGP 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 Electron Coupled Oscillators and Beta. Machine Learning based stock forecast (n+30) for RGP Resources Connection as below: RGP Resources Connection Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+30) Asset divestitures. We do not inc

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 01:25:03 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 Navios Maritime Holdings Inc. Common Stock: We estimate the credit risk parameters by Trend and Wilcoxon Rank-Sum Test Credit Ratings for Navios Maritime Holdings Inc. Common Stock as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B1 Semantic Signals 37 85 Financial Signals 53 43 Risk Signals 70 68 Substantial Risks 34 48 Speculative Signals 47 36 *Machine Learning utilizes multiple learning alg

The stock price realization for NSE:PIONDIST 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 Wilcoxon Sign-Rank Test. Machine Learning based stock forecast (n+7) for PIONDIST Pioneer Distilleries Limited as below: PIONDIST Pioneer Distilleries Limited Stock Forecast (Buy or Sell) as of 27 Aug 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:

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 00:55:03 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 Vornado Realty Trust Common Stock: We estimate the credit risk parameters by KDJ and ANOVA Credit Ratings for Vornado Realty Trust Common Stock as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B3 B2 Semantic Signals 66 45 Financial Signals 34 51 Risk Signals 30 57 Substantial Risks 45 47 Speculative Signals 83 70 *Machine Learning utilizes multiple learning algorithms to obtain

The stock price realization for LON:JRS 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 Ridge Regression. Machine Learning based stock forecast (n+6m) for JRS JPMORGAN RUSSIAN SECS PLC as below: JRS JPMORGAN RUSSIAN SECS PLC Stock Forecast (Buy or Sell) as of 27 Aug 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: 27 Aug 2021 for (n+6m) In determining how

BOSTON (AC Invest Credit Rating Terminal) Fri Aug 27 2021 00:25:03 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 Energy Transfer Partners, L.P. ENERGY TRANSFER PARNTERS: We estimate the credit risk parameters by Relative Strength Index (RSI) and Ridge Regression Credit Ratings for Energy Transfer Partners, L.P. ENERGY TRANSFER PARNTERS as of 27 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B1 B1 Semantic Signals 50 67 Financial Signals 71 33

The stock price realization for NSE:VLSFINANCE 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 Stepwise Regression. Machine Learning based stock forecast (n+15) for VLSFINANCE VLS Finance Limited as below: VLSFINANCE VLS Finance Limited Stock Forecast (Buy or Sell) as of 26 Aug 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: 26 Aug 2021 for (n+15) We do not include potential

BOSTON (AC Invest Credit Rating Terminal) Thu Aug 26 2021 23:55:02 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 Physicians Realty Trust: We estimate the credit risk parameters by Ichimoku Cloud (IKH) and Wilcoxon Rank-Sum Test Credit Ratings for Physicians Realty Trust as of 26 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* Ba1 Ba3 Semantic Signals 80 76 Financial Signals 49 53 Risk Signals 60 77 Substantial Risks 89 72 Speculative Signals 78 35 *Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neur

The stock price realization for NASDAQ:IBUY 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 Pierce Oscillators and Wilcoxon Rank-Sum Test. Machine Learning based stock forecast (n+15) for IBUY Amplify Online Retail ETF as below: IBUY Amplify Online Retail ETF Stock Forecast (Buy or Sell) as of 26 Aug 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: 26 Aug 2021 for (n+15) Given the ear

BOSTON (AC Invest Credit Rating Terminal) Thu Aug 26 2021 23:25:02 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 On Deck Capital, Inc. Common Stock: We estimate the credit risk parameters by Profit and Ridge Regression Credit Ratings for On Deck Capital, Inc. Common Stock as of 26 Aug 2021 Credit Rating Short-Term Long-Term Senior AI Rating Class* B2 B1 Semantic Signals 65 74 Financial Signals 66 83

The stock price realization for NSE:SUMMITSEC 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 Electron Coupled Oscillators and Factor. Machine Learning based stock forecast (n+7) for SUMMITSEC Summit Securities Limited as below: SUMMITSEC Summit Securities Limited Stock Forecast (Buy or Sell) as of 26 Aug 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: 26 Aug 2021 for (n+7) If a compa