Python

PyAlgoTrade is a popular algorithmic trading library in Python, designed to help both beginners and experts to develop backtesting and live trading systems. On the other hand, yfinance and pandas-datareader are data-gathering libraries......

When developing trading strategies using PyAlgoTrade, a popular event-driven algorithmic trading library for Python, it's quite common to encounter a variety of errors and warnings. In this article, we will explore some of these common......

In the world of algorithmic trading, implementing strategies using pre-built libraries can significantly speed up development. One such library is PyAlgoTrade, which is a Python library specifically designed for retail algorithmic traders......

Algorithmic trading, often referred to as algo trading, has gained immense popularity thanks to its ability to execute trades at lightning speed and without human intervention. Python has emerged as a dominant language in the trading......

Backtesting is a critical component of developing any algorithmic trading strategy. It allows traders to see how their strategies would have performed in the past, providing insights and confidence before going live with actual trading.......

Investment strategies often need fine-tuning and optimization to perform well in various market conditions. Zipline, Quantopian’s open-source backtesting library, provides a mechanism called the Pipeline API to facilitate this process. In......

When it comes to constructing a multi-asset portfolio, utilizing a powerful backtesting engine can determine the viability of your investment strategy. Zipline, an open-source backtesting framework originally developed by Quantopian,......

Debugging errors and exceptions is a crucial part of software development, and this holds true when working with Zipline, a backtesting algorithmic trading simulator. In this article, we will explore common errors and exceptions......

Zipline is a powerful algorithmic trading library that allows traders and analysts to implement financial algorithms, including handling complex order execution and commission strategies. Understanding and customizing these order execution......

Investment strategies and risk assessments are crucial components of financial decision-making. With the advent of algorithmic trading, tools like Zipline provide traders a robust framework to design, test, and analyze the performance and......

In the world of algorithmic trading, backtesting is a crucial step that evaluates the viability of a trading strategy by analyzing historical data. Zipline is an open-source backtesting library that enables users to write and test their......

Data ingestion is a fundamental part of utilizing any quantitative trading strategy in Zipline. However, implementing efficient and reliable data ingestion can be fraught with challenges. This article aims to address some of the most......