Data Stocks List

Recent Signals

Date Stock Signal Type
2019-07-18 DHX Non-ADX 1,2,3,4 Bullish Bullish Swing Setup
2019-07-18 FORT Stochastic Reached Oversold Weakness
2019-07-18 FORT Narrow Range Bar Range Contraction
2019-07-18 HELX Bollinger Band Squeeze Range Contraction
2019-07-18 HELX Narrow Range Bar Range Contraction
2019-07-18 IBIT Doji - Bullish? Reversal
2019-07-18 IBIT Narrow Range Bar Range Contraction
2019-07-18 IBIT MACD Bearish Signal Line Cross Bearish
2019-07-18 IBIT Lizard Bullish Bullish Day Trade Setup
2019-07-18 IBIT Hammer Candlestick Bullish
2019-07-18 ISV 180 Bullish Setup Bullish Swing Setup
2019-07-18 ISV Crossed Above 50 DMA Bullish
2019-07-18 SPOT Expansion Pivot Buy Setup Bullish Swing Setup
2019-07-18 SPOT 180 Bullish Setup Bullish Swing Setup
2019-07-18 SPOT MACD Bullish Signal Line Cross Bullish
2019-07-18 SPOT Crossed Above 50 DMA Bullish
2019-07-18 SPOT Crossed Above 20 DMA Bullish

Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of subjects with respect to qualitative or quantitative variables.
Data and information or knowledge are often used interchangeably; however data becomes information when it is viewed in context or in post-analysis .
While the concept of data is commonly associated with scientific research, data is collected by a huge range of organizations and institutions, including businesses (e.g., sales data, revenue, profits, stock price), governments (e.g., crime rates, unemployment rates, literacy rates) and non-governmental organizations (e.g., censuses of the number of homeless people by non-profit organizations).
Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs, images or other analysis tools. Data as a general concept refers to the fact that some existing information or knowledge is represented or coded in some form suitable for better usage or processing. Raw data ("unprocessed data") is a collection of numbers or characters before it has been "cleaned" and corrected by researchers. Raw data needs to be corrected to remove outliers or obvious instrument or data entry errors (e.g., a thermometer reading from an outdoor Arctic location recording a tropical temperature). Data processing commonly occurs by stages, and the "processed data" from one stage may be considered the "raw data" of the next stage. Field data is raw data that is collected in an uncontrolled "in situ" environment. Experimental data is data that is generated within the context of a scientific investigation by observation and recording. Data has been described as the new oil of the digital economy.

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