The stochastic indicator is a popular momentum oscillator used in technical analysis to identify overbought and oversold conditions in asset prices. It consists of two components: the %K line and the %D line. The %K line compares the closing price…
Bollinger Bands are one of the most popular technical indicators used by traders. They are very simple to understand and are utilized heavily to get buy or sell signals. Bollinger Bands, in combination with other indicators, generally have a high…
Medical image processing and signal processing are huge tasks in radiology. You receive a lot of signals with great variability. These signals are used to test the health of the patient and uncover any ailment. All this is done by…
This is the fourth article in our pursuit of understanding technical analysis and indicators using Python. We have already learned Technical Analysis, the Moving Average Crossover strategy, and the Relative Strength Indicator (RSI). In this article, we will learn about…
Hello and welcome all to the third article in the series of Understanding Technical Indicators and Analysis using Python. In this article, we discuss the Relative Strength Index indicator. If you’re new to TA, start with this tutorial on the…
Git is an important tool for developers and testers alike. It is a great source for deploying applications and allows us to track changes and make documentation along with the development of the applications. Here we will learn how to…
Hello and welcome to all to the second article in our pursuit of understanding technical analysis and indicators. We discuss the moving crossover strategy here with the help of Python. Simple Moving Averages (SMA), and Exponential Moving Averages (EMA) are…
This is a 5 article series that will brief everyone on what technical analysis and its indicators are and how to implement all these indicators in Python programming language and its powerful libraries. In later articles, we will discuss four…
This article explores how to call Python scripts from a C application using the Python/C API. It provides a step-by-step guide on setting up the API, creating Python and C files, initializing the interpreter, creating Python objects, calling Python functions…
Just imagine yourself as a delivery courier. You have to deliver multiple parcels to many different spots. You also aim to minimize the fuel costs and time of traveling to maximize profit. This generally creates confusion about where to deliver…