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Candlestick charts are a visual aid for decision making in stock, foreign exchange, commodity, and option trading. By looking at a candlestick, one can identify an asset's opening and closing prices, highs and lows, and overall range for a specific time frame. [ 7] Candlestick charts serve as a cornerstone of technical analysis.
Relative strength is a ratio of a stock price performance to a market average (index) performance. [ 1] It is used in technical analysis . It is not to be confused with relative strength index . To calculate the relative strength of a particular stock, divide the percentage change over some time period by the percentage change of a particular ...
Line break chart. Line break charts contain an “up line” and a “down line” which are normally distinguished using different colors, e.g., an up line can be represented by a green line and a down line can be represented by a red line. [ 6] A new up line is added when the previous high is exceeded by the underlying chart's close and a ...
Stocks are surging higher with the S&P 500 ( ^GSPC) nearing 5,000 for the first time. To explain the rise, we recently asked some top Wall Street strategists to contribute to the latest edition of ...
t. e. In finance, technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily price and volume. [ 1] As a type of active management, it stands in contradiction to much of modern portfolio theory.
This spider chart represents the allocated budget versus actual spending for a given organization. A radar chart is a graphical method of displaying multivariate data in the form of a two-dimensional chart of three or more quantitative variables represented on axes starting from the same point. The relative position and angle of the axes is ...
Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines, or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science. According to Vitaly Friedman (2008) the "main ...
A classification model (classifier or diagnosis [7]) is a mapping of instances between certain classes/groups.Because the classifier or diagnosis result can be an arbitrary real value (continuous output), the classifier boundary between classes must be determined by a threshold value (for instance, to determine whether a person has hypertension based on a blood pressure measure).