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Quantopian VS ggplot2

Compare Quantopian VS ggplot2 and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Quantopian logo Quantopian

Your algorithmic investing platform

ggplot2 logo ggplot2

Application and Data, Libraries, and Charting Libraries
  • Quantopian Landing page
    Landing page //
    2023-07-27
  • ggplot2 Landing page
    Landing page //
    2023-02-27

Quantopian features and specs

  • Community Collaboration
    Quantopian provided a platform for users to share and collaborate on trading algorithms, enabling users to learn from each other and improve their strategies.
  • Access to Data
    Quantopian offered access to a wide range of financial data sets, which allowed users to develop and back-test their algorithms using historical data.
  • Comprehensive Development Environment
    It featured an integrated development environment (IDE) with tools for coding, testing, and back-testing trading strategies in Python, which was user-friendly and powerful.
  • Educational Resources
    Quantopian provided various educational resources, including lectures, tutorials, and a supportive community forum, which were beneficial for both beginners and experienced traders.
  • Competition and Incentives
    Quantopian organized contests that incentivized users to develop successful trading algorithms, with the potential to receive a live trading allocation from the company.

Possible disadvantages of Quantopian

  • Shutting Down Services
    Quantopian shut down its retail offering in 2020, which meant that users could no longer use their platform for developing and testing new algorithms.
  • Limited Live Trading Options
    Users found limited options for deploying their strategies into live trading. Quantopian allowed this only for algorithms selected for allocation, which reduced accessibility for many users.
  • Dependence on Platform
    Users who developed algorithms on Quantopian's platform were heavily dependent on it, and when it shut down, they had to transition to other platforms, which could be challenging.
  • Resource Limitations
    There were computational and resource limitations for users, which could restrict the complexity of the algorithms and back-testing users could perform without additional infrastructure.
  • Portfolio Selection Process
    The selection process for having algorithms licenced for live trading allocation was competitive and not transparent to many users, which could lead to frustration.

ggplot2 features and specs

No features have been listed yet.

Quantopian videos

+ Add

Algorithmic Trading with Python and Quantopian p. 1

More videos:

  • Review - Quantopian, simple strategies

ggplot2 videos

+ Add

Learn R: An Introduction to ggplot2

More videos:

  • Review - Review ggplot2 Line Graph Exercise
  • Review - Code-through and review of Ggplot2 in 2

Category Popularity

0-100% (relative to Quantopian and ggplot2)

Quantopian

ggplot2

Finance
100 100%
Finance
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Development
100 100%
Development
0% 0
Data Visualization
0 0%
Data Visualization
100% 100

User comments

Share your experience with using Quantopian and ggplot2. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Quantopian and ggplot2

Quantopian Reviews

We have no reviews of Quantopian yet.
Be the first one to post

ggplot2 Reviews

5 Best Python Libraries For Data Visualization in 2023
ggplot is a system for creating graphics declaratively. It’s based on the Grammar of Graphics of R programming language and is tightly integrated with Pandas. ggplot just requires you to declare how to map the variables to aesthetics and primitives to use and handles the rest automatically. Remember, ggplot is not recommended for creating highly customized graphics.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Ggplot is a Python data visualization library that is based on the implementation of ggplot2 which is created for the programming language R. Ggplot can create data visualizations such as bar charts, pie charts, histograms, scatterplots, error charts, etc. using high-level API. It also allows you to add different types of data visualization components or layers in a single...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, ggplot2 seems to be more popular. It has been mentiond 11 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.

Quantopian mentions (0)

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

ggplot2 mentions (11)

  • Ask HN: What plotting tools should I invest in learning?
    For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / almost 2 years ago
  • Relative frequency of letters in five-letter English words (Wordle aid) [OC]
    I got the list of five-letter words from the words package in R, created the QWERTY keyboard grid with base R and tibble, and visualized the data with geom_tile in the ggplot2 package. Source: almost 2 years ago
  • [OC] U.S. News & World Report Best Colleges: 2002 to 2023
    Thanks, it's an interesting idea! I definitely could implement this with scale_fill_gradientn) in ggplot2. Source: almost 2 years ago
  • Facts about Aaron Boone's Ejections as Manager
    I used the ggplot2 package in R to create these figures. Source: almost 2 years ago
  • Fueling Innovation and Collaborative Storytelling
    This might not be at the top of your list, but science fiction often presents advanced data analysis and visualization technologies. Open source data analysis tools such as Python's Pandas and R's ggplot2 have revolutionized the field, making complex data manipulation and visualization accessible to all. In the science fiction novel The Martian, astronaut Mark Watney uses a variety of data analysis and... - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing Quantopian and ggplot2, you can also consider the following products

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.

Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

quantra - A public API for quantitative finance made with Quantlib

Plotly - Low-Code Data Apps

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

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

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