Python

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......

Building your first algorithmic strategy using Zipline can be both an exciting and insightful journey into the world of algorithmic trading. Zipline is a Pythonic algorithmic trading library that provides a powerful environment for......

Zipline is a Pythonic algorithmic trading library that’s easy to understand and use. It’s frequently used for backtesting trading algorithms and is often integrated into larger trading systems. In this article, we'll guide you through the......

In the world of algorithmic trading, Backtrader is a remarkable open-source backtesting framework, popular among traders for its flexibility and simplicity. While backtesting a trading strategy can yield fruitful insights and potential......

In recent years, algorithmic trading has gained a lot of traction, leading to an increased demand for robust tools that can simulate trading strategies. In the Python ecosystem, there are several frameworks designed for this purpose, with......

Backtrader is a popular Python library for algorithmic trading, valued for its simplicity and flexibility. However, to truly leverage its power, it can often be necessary to extend its functionality with custom components. In this article,......

Backtrader is a powerful open-source Python framework for building and testing trading strategies. To efficiently scale and manage complex trading systems, especially in dynamic environments, you can run Backtrader within Docker. This......

Backtesting is an essential part of algorithmic trading. It allows traders to evaluate the success of their strategies using historical data before risking actual capital. One popular open-source framework for this purpose is backtrader.......

When it comes to algorithmic trading, the evaluation of trading strategies is as crucial as building the strategies themselves. Among the various Python libraries available for backtesting trading strategies, backtrader stands out due to......

In the realm of algorithmic trading, acquiring and analyzing historical market data is a critical step. Backtrader is a popular Python library widely used for backtesting trading strategies, thanks to its versatility and ease of use. By......

In today’s fast-paced financial markets, integrating live market data with your trading algorithms is essential for gaining insights and executing timely trades. Backtrader is a well-known Python library designed for backtesting trading......