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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 9, ISSUE 3, MARCH 2022

A programmatic way to generate point and figure charts for stock market price Data.

Pallav Nandi Chaudhuri

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Abstract: In this paper I propose a programmatic way to generate point and figure charts. Point and figure charts provide a way of plotting stock market data without considering the time scale. Hence for the price action trades it provides a mechanism which can depict the trend, trend reversal in a definitive way. There are several established formulas available which are used to set the price target for a taken trade. There are also ways which traders use to place stop loss as well. Hence in a nutshell, among the traders and investors point and figure charting technique is popular. Many trading decisions are made by observing the chart generated in point and figure way. The goal of this tool is to provide a way by which traders can do the necessary calculations automatically. Most of the time and for most of the people trading is a discretionary process. For the dedicated and experienced traders it is a business. They use their proprietary formulas which are not available in the market. Nowadays many mechanical traders prefer and want automatic execution of orders at the exchange with the use of application programming interfaces. The tool is customizable and made in such a way that they can integrate their proprietary formulas with the help of a programmer and use it to make different trading decisions. The project is an open source project. Either with little programming knowledge of python or with the help of a programmer it can be customized as per the trading needs of an individual.

Keywords: Point and figure chart, trading, stock market.

How to Cite:

[1] Pallav Nandi Chaudhuri, “A programmatic way to generate point and figure charts for stock market price Data.,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2022.9326

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