Big Data Stocks List



Recent Signals

Date Stock Signal Type
2021-04-13 AIQ Narrow Range Bar Range Contraction
2021-04-13 AIQ Pocket Pivot Bullish Swing Setup
2021-04-13 AIQ Stochastic Sell Signal Bearish
2021-04-13 ARKW Non-ADX 1,2,3,4 Bearish Bearish Swing Setup
2021-04-13 AYX Bollinger Band Squeeze Range Contraction
2021-04-13 AYX NR7 Range Contraction
2021-04-13 AYX Narrow Range Bar Range Contraction
2021-04-13 AYX Stochastic Reached Overbought Strength
2021-04-13 CGNT Lower Bollinger Band Walk Weakness
2021-04-13 CGNT Slingshot Bearish Bearish Swing Setup
2021-04-13 CLDR Crossed Above 200 DMA Bullish
2021-04-13 CLDR Bollinger Band Squeeze Range Contraction
2021-04-13 CTSH NR7-2 Range Contraction
2021-04-13 CTSH NR7 Range Contraction
2021-04-13 DDOG Crossed Above 200 DMA Bullish
2021-04-13 DDOG Crossed Above 50 DMA Bullish
2021-04-13 DDOG Pocket Pivot Bullish Swing Setup
2021-04-13 DTSS 1,2,3 Pullback Bullish Bullish Swing Setup
2021-04-13 DTSS Narrow Range Bar Range Contraction
2021-04-13 ESTC New Uptrend Bullish
2021-04-13 INFY MACD Bearish Signal Line Cross Bearish
2021-04-13 INFY Fell Below 20 DMA Bearish
2021-04-13 INPX MACD Bearish Signal Line Cross Bearish
2021-04-13 INPX Hammer Candlestick Bullish
2021-04-13 INPX Lizard Bullish Bullish Day Trade Setup
2021-04-13 INPX Doji - Bullish? Reversal
2021-04-13 IQ Narrow Range Bar Range Contraction
2021-04-13 IQ NR7 Range Contraction
2021-04-13 JFIN NR7 Range Contraction
2021-04-13 JFIN Narrow Range Bar Range Contraction
2021-04-13 JFIN Doji - Bullish? Reversal
2021-04-13 JFIN 1,2,3 Pullback Bullish Bullish Swing Setup
2021-04-13 JFIN Non-ADX 1,2,3,4 Bullish Bullish Swing Setup
2021-04-13 JG Narrow Range Bar Range Contraction
2021-04-13 JT Pocket Pivot Bullish Swing Setup
2021-04-13 KC Crossed Above 20 DMA Bullish
2021-04-13 LAIX Fell Below 200 DMA Bearish
2021-04-13 LPRO 20 DMA Resistance Bearish
2021-04-13 LPRO Cup with Handle Other
2021-04-13 MDB Stochastic Reached Overbought Strength
2021-04-13 MRCY Doji - Bearish? Reversal
2021-04-13 NEWR Pocket Pivot Bullish Swing Setup
2021-04-13 PLTR Bollinger Band Squeeze Range Contraction
2021-04-13 PLTR Crossed Above 20 DMA Bullish
2021-04-13 PLTR Stochastic Reached Overbought Strength
2021-04-13 PLTR Pocket Pivot Bullish Swing Setup
2021-04-13 PLTR Non-ADX 1,2,3,4 Bearish Bearish Swing Setup
2021-04-13 QLYS Crossed Above 200 DMA Bullish
2021-04-13 QLYS Crossed Above 50 DMA Bullish
2021-04-13 QLYS Doji - Bearish? Reversal
2021-04-13 RDVT Pocket Pivot Bullish Swing Setup
2021-04-13 RDVT Non-ADX 1,2,3,4 Bearish Bearish Swing Setup
2021-04-13 RDVT Upper Bollinger Band Walk Strength
2021-04-13 RDVT Stochastic Reached Overbought Strength
2021-04-13 RDVT Wide Range Bar Range Expansion
2021-04-13 RDVT Volume Surge Other
2021-04-13 RDVT Crossed Above 200 DMA Bullish
2021-04-13 SPLK Upper Bollinger Band Walk Strength
2021-04-13 SPLK Non-ADX 1,2,3,4 Bearish Bearish Swing Setup
2021-04-13 TAOP 1,2,3 Pullback Bullish Bullish Swing Setup
2021-04-13 TAOP Narrow Range Bar Range Contraction
2021-04-13 WK 50 DMA Resistance Bearish
2021-04-13 XDAT New Uptrend Bullish
2021-04-13 XDAT 180 Bullish Setup Bullish Swing Setup
2021-04-13 XDAT Narrow Range Bar Range Contraction

Recent News for Big Data Stocks

Date Stock Title
Apr 14 PLTR Wall Street Breakfast: Coinbase In Your Face
Apr 14 ARKW Cathie Wood Furthers Bet On Virgin Galactic, Also Adds DraftKings, Atlassian, Peloton
Apr 14 SPLK Cathie Wood Furthers Bet On Virgin Galactic, Also Adds DraftKings, Atlassian, Peloton
Apr 14 PLTR Coinbase Gets Significantly Lower Valuation For Direct Listing From Nasdaq
Apr 13 IQ Credit Suisse offers big blocks of Discovery, iQIYI shares related to Archegos: sources
Apr 13 TLND SHAREHOLDER ALERT: Rigrodsky Law, P.A. Reminds Investors of Investigation of CNIG, LEAF, TLND, and STAY Buyouts
Apr 13 IQ Credit Suisse still unloading Discovery shares - CNBC
Apr 13 PLTR Palantir's Stock May Have Just Broken Out Of Old Bearish Pattern
Apr 13 MRCY Portable jammer training system provides realistic threat emulation for radar and communications operators
Apr 13 PLTR Palantir shares show strength ahead of Foundry-focused demo day
Apr 13 AYX Alteryx Announces Date of First Quarter 2021 Financial Results Release
Apr 13 INFY Infosys Q4 2021 Earnings Preview
Apr 13 PLTR Is Palantir Technologies (PLTR) Outperforming Other Business Services Stocks This Year?
Apr 13 ARKW ETF Battles: ARKW Vs GBTC, ETHE & GLD
Apr 13 JT MONDAY DEADLINE ALERT: The Schall Law Firm Reminds Investors of Class Action Lawsuit Against Jianpu Technology Inc. and Encourages Investors with Losses in Excess of $100,000 to Contact the Firm
Apr 13 JT JT Looming Deadline: Bronstein, Gewirtz & Grossman, LLC Reminds Jianpu Technology, Inc. Investors of Class Action and Lead Plaintiff Deadline: April 19, 2021
Apr 13 TAOP Taoping inks agreement with Ordos Blockchain Cloud Computing Technology
Apr 13 TAOP MRNA, NVAX, RIOT and MARA among premarket gainers
Apr 13 DDOG Tuesday’s Pre-Market: Here’s What You Need To Know Before The Market Opens
Apr 13 TAOP TAOP Signs Exclusive Strategic Cooperation and Joint Operation Agreement with Ordos Blockchain Cloud Computing Technology Co., Ltd.

Big data is a term used to refer to data sets that are too large or complex for traditional data-processing application software to adequately deal with. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.
Current usage of the term "big data" tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem."
Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet search, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.Data sets grow rapidly- in part because they are increasingly gathered by cheap and numerous information- sensing Internet of things devices such as mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 exabytes (2.5×1018) of data are generated. Based on an IDC report prediction, the global data volume will grow exponentially from 4.4 zettabytes to 44 zettabytes between 2013 and 2020. By 2025, IDC predicts there will be 163 zettabytes of data. One question for large enterprises is determining who should own big-data initiatives that affect the entire organization.Relational database management systems, desktop statistics and software packages used to visualize data often have difficulty handling big data. The work may require "massively parallel software running on tens, hundreds, or even thousands of servers". What qualifies as being "big data" varies depending on the capabilities of the users and their tools, and expanding capabilities make big data a moving target. "For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration."

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