Software Alternatives, Accelerators & Startups

Quantopian VS Uber Driver API

Compare Quantopian VS Uber Driver API and see what are their differences

Quantopian logo Quantopian

Your algorithmic investing platform

Uber Driver API logo Uber Driver API

A new API for developers to make driving more rewarding
  • Quantopian Landing page
    Landing page //
    2023-07-27
  • Uber Driver API Landing page
    Landing page //
    2023-10-20

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.

Uber Driver API features and specs

No features have been listed yet.

Quantopian videos

Algorithmic Trading with Python and Quantopian p. 1

More videos:

  • Review - Quantopian, simple strategies

Uber Driver API videos

No Uber Driver API videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Quantopian and Uber Driver API)
Finance
100 100%
0% 0
Ride Sharing
0 0%
100% 100
Tool
100 100%
0% 0
Data Science And Machine Learning

User comments

Share your experience with using Quantopian and Uber Driver API. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Uber Driver API seems to be more popular. It has been mentiond 1 time 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.

Uber Driver API mentions (1)

What are some alternatives?

When comparing Quantopian and Uber Driver API, 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.

Uber's Driver App - Redesigned with 40 new features

quantra - A public API for quantitative finance made with Quantlib

Bento.io - A guided tour through curated, free coding tutorials on the web

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

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