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…
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…
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…
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…
Algo trading, also known as algorithmic trading, is a method of trading financial instruments using computer programs or algorithms to automate the process of buying and selling assets. These algorithms can be designed to follow specific rules, such as technical indicators, in order to make trading decisions. Technical analysis plays Read more…
We need to imports several libraries such as requests, csv, cx_Oracle, pandas, datetime, and sqlalchemy. import requests import csv import cx_Oracle import pandas as pd from datetime import datetime, time from datetime import timedelta, date from sqlalchemy import types, create_engine These libraries are commonly used in data analysis and data Read more…