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PySpark VS Backtrader

Compare PySpark VS Backtrader and see what are their differences

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

PySpark logo 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

Backtrader logo Backtrader

Backtrader is a complete and advanced python framework that is used for backtesting and trading.
  • PySpark Landing page
    Landing page //
    2023-08-27
  • Backtrader Landing page
    Landing page //
    2021-09-30

PySpark videos

+ Add

Data Wrangling with PySpark for Data Scientists Who Know Pandas - Andrew Ray

More videos:

  • Tutorial - Pyspark Tutorial | Introduction to Apache Spark with Python | PySpark Training | Edureka

Backtrader videos

+ Add

Backtrader Python Review

More videos:

  • Review - Algorithmic Trading with Python and Backtrader (Part 1)
  • Review - Backtrader Live Forex Trading with Interactive Brokers (Part 1)

Category Popularity

0-100% (relative to PySpark and Backtrader)

PySpark

Backtrader

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 PySpark and Backtrader. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Backtrader seems to be more popular. It has been mentiond 3 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.

PySpark mentions (0)

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

Backtrader mentions (3)

  • My reality of trading and how i wish i had never started.
    I do like what I see and hear about backtrader.com. I would say they are a notable exception to my general rule of not trusting or using backtesting frameworks. However, I still think it is important to understand how the framework you are using works. So if you are using backtrader for backtesting you still need to put in the time to understand the backtesting engine. Source: about 1 year ago
  • My reality of trading and how i wish i had never started.
    What about backtrader.com? And I feel like it would be step 2 after you at least have something to backtrade and test haha. Source: about 1 year ago
  • I need to know what can go wrong with my 'masterplan'
    Backtesting is basically applying your strategy on historical price data to see if it makes money. I've used Backtrader it works decently well: https://backtrader.com/. Source: over 2 years ago

What are some alternatives?

When comparing PySpark and Backtrader, you can also consider the following products

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

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.

NumPy - NumPy is the fundamental package for scientific computing with Python

Quantopian - Your algorithmic investing platform

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

Streak.world - Streak.world is one of the leading algo trading platforms, allowing you to design an algorithm to automate your trading strategies without any coding skills needed.

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