Transparent ADP Forecast & Balanced News

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Correlated Stock Forecasts

Assets that tend to move strongly with ADP

WM Forecast   Waste Management (0.85)


AJRD Forecast   Aerojet Rocketdyne (0.84)


ASO Forecast   Academy Sports and Outdoors (0.83)


FSLR Forecast   First Solar (0.82)


EXTR Forecast   Extreme Networks (0.79)



Uncorrelated Stock Forecasts

Assets with little price relationship to ADP

TNA Forecast   Direxion Daily Small Cap Bull 3X Shares (-0.0)


GE Forecast   General Electric (-0.0)


MA Forecast   Mastercard Incorporated (-0.0)


SU Forecast   Suncor Energy (0.01)


CRUS Forecast   Cirrus Logic (-0.01)



Anticorrelated Stock Forecasts

Assets that tend to move strongly against ADP

HIBS Forecast   Direxion Daily S&P 500 High Beta Bear 3X Shares (-0.67)


VXX Forecast   iPath Series B S&P 500 VIX Short-Term Futures (-0.67)


DUG Forecast   ProShares UltraShort Oil & Gas (-0.69)


LABD Forecast   Direxion Daily S&P Biotech Bear 3X Shares (-0.81)


UVXY Forecast   ProShares Ultra VIX Short-Term Futures (-0.82)




ADP News over Time





Click points to explore news by date. News sentiment ranges from -10 (very negative) to +10 (very positive) where 0 is neutral.

Most Recent ADP News


ADP Media Sentiment (?)


0.2:  arXiv


-0.3:  Market Watch














Bullish: Automatic Data Processing (ADP) has a strong dividend, is outperforming the market, and has a strong current ratio of debt to equity



Bearish: ADP has a high forward price to earnings ratio, low option trading volume, and a negative historical correlation between realized price and the HeliumTrades AI price forecast.



Automatic Data Processing Forecast

Automatic Data Processing (ADP)

      

Complement Helium's AI ADP Forecast with Balanced News and Deepen Your Understanding

Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure. (arXiv:2201.00668v1 [cs.AI])

science

Recent years have witnessed the promise that reinforcement learning, coupled with Graph Neural Network (GNN) architectures, could learn to solve hard combinatorial optimization problems: given raw input data and an evaluator to guide the process, the idea is to automatically learn a policy able to return feasible and high-quality outputs. Recent work have shown promising results but the latter were mainly evaluated on the travelling salesman problem (TSP) and similar abstract variants such as Split Delivery Vehicle Routing Problem (SDVRP). In this paper, we analyze how and whether recent neural architectures can be applied to graph problems of practical importance. We thus set out to systematically "transfer"
arXiv     Jan 04, 2022

Automatic Data Processing Inc. stock falls Friday, still outperforms market

business

Shares of Automatic Data Processing Inc. ADP, -0.00% sank 0.00% to $200.45 Friday, on what proved to be an all-around dismal trading session for the stock market, with the S&P 500 Index SPX, -0.72% falling 0.72% to 4,348.87 and Dow Jones Industrial Average DJIA, -0.68% falling 0.68% to 34,079.18. This was the stock's second consecutive day of losses. Automatic Data Processing Inc. closed $48.51 below its 52-week high ($248.96), which the company achieved on December 29th.
Market Watch     Feb 21, 2022