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PyXLL VS QuantConnect

Compare PyXLL VS QuantConnect and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

PyXLL logo PyXLL

PyXLL is an Excel Add-In that enables developers to extend Excel’s capabilities with Python code.

QuantConnect logo QuantConnect

QuantConnect provides a free algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We are democratizing algorithm trading technology to empower investors.
  • PyXLL Landing page
    Landing page //
    2023-06-14
  • QuantConnect Landing page
    Landing page //
    2023-10-15

PyXLL videos

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PyXLL Introduction

QuantConnect videos

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Difference between Quantopian Quantiacs Quantconnect

More videos:

  • Review - Step by Step Algorithmic Trading Guide with QuantConnect

Category Popularity

0-100% (relative to PyXLL and QuantConnect)

PyXLL

QuantConnect

No Code
100 100%
No Code
0% 0
Finance
0 0%
Finance
100% 100
Project Management
100 100%
Project Management
0% 0
Development
0 0%
Development
100% 100

User comments

Share your experience with using PyXLL and QuantConnect. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, QuantConnect seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PyXLL mentions (0)

We have not tracked any mentions of PyXLL yet. Tracking of PyXLL recommendations started around Mar 2021.

QuantConnect mentions (9)

  • I'm a dev, we're in 2023, what should i start with ?
    I use https://quantconnect.com/ to backtest new algos and discover new algos. They support C# and python. Source: over 1 year ago
  • Where can I Learn OOP for trading in python? I’ve been looking for some information, but I didn’t find anything, any help?
    Use quantconnect.com, their API forces you to use OOP there so it's a good practice. Source: almost 2 years ago
  • Backtesting tools
    For stocks and crypto: QuantConnect and Backtrader For options: MesoSim and OptionNetExplorer. Source: almost 2 years ago
  • what do you guys think about Joel Greenblatt and his magic formula of investing? backtests of his formula return on average above 20% per annum
    Only you can teach you how to do it. quantconnect.com has a lot of tutorials and other documentation that should be enough for you to learn from. I'm still learning the process of backtesting and I'm not aware of an "easy" way to perform this type of work. Source: almost 2 years ago
  • What are some things you have automated, using python?
    Thanks for the pointer. quantconnect.com and interactive brokers. I have a little fantasy that I'll do this once I retire and hand over 1% of my nest egg to it; see how it does... Hand over some more, etc... Source: over 2 years ago
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What are some alternatives?

When comparing PyXLL and QuantConnect, you can also consider the following products

xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa

Quantopian - Your algorithmic investing platform

PySpark - PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor

CloudQuant - Crowd based algorithmic trading development and backtesing for stock market trading.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Backtrader - Backtrader is a complete and advanced python framework that is used for backtesting and trading.

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