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Candlestick Pattern

6 Reasons Why Candlestick Charts Are Popular Among Professional Traders Today

Japanese candlestick charting is a powerful tool that has gained widespread popularity among professional traders. There are several reasons why this technique has become so popular today. In this blog post, we will explore six key reasons why candlestick charts are so widely used in financial analysis. 1. Leading indicator: Read more…

By raghavsmoney, 2 yearsApril 19, 2023 ago
Candlestick Pattern

Unlocking the Power of Japanese Candlestick Charting for Technical Analysis in Financial Markets

Japanese candlestick charting is a popular tool used in technical analysis of financial markets. It is a visual representation of price movements that has its roots in Japan over three centuries ago. In this blog post, we will explore the history of Japanese candlestick charting, its evolution, and its significance Read more…

By raghavsmoney, 2 yearsApril 19, 2023 ago
Algo Trading

A Beginner’ Guide to TA-Lib Candlestick Patterns in Python

TA-Lib is a popular library for technical analysis in finance. It provides a wide range of tools for analyzing financial data, including indicators, oscillators, and candlestick pattern recognition. Candlestick patterns are a powerful tool for traders to identify potential trend reversals or continuations. Here’s an example Python code using TA-Lib Read more…

By raghavsmoney, 3 years ago
Algo Trading

How to download a compressed CSV file from a URL using Python

Downloading a compressed CSV file from a URL is a common task in data processing and analysis. In this article, we will demonstrate how to download a compressed CSV file from a URL using Python. For this example, we will use the following URL to download a compressed CSV file: Read more…

By raghavsmoney, 3 yearsMarch 18, 2023 ago
Algo Trading

Calculating Moving Averages in Python using Pandas: A Guide with Examples

Calculating moving averages is a common task in financial analysis and time series forecasting. In Python, there are several ways to calculate moving averages, but one of the most popular is to use the Pandas library. In this article, we will go through the steps to calculate a moving average Read more…

By raghavsmoney, 3 years ago

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