Here we will disscuss about 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…
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…
In today’s world, most online services rely on two-factor authentication to secure their users’ accounts. One such method of authentication is the use of One-Time Passwords (OTP) that are sent via email or SMS. In this article, we will learn how to fetch OTP from Gmail using Python. We will 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…
Algorithmic trading, also known as algo trading, is a method of trading that uses computer programs to execute trades automatically. The use of algorithms can help traders to make faster and more accurate decisions, as well as to reduce the impact of emotions and biases on trading decisions. In this 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…