Software Alternatives, Accelerators & Startups

Permutable.ai Trading Co-Pilot VS QuantConnect

Compare Permutable.ai Trading Co-Pilot VS QuantConnect and see what are their differences

Permutable.ai Trading Co-Pilot logo Permutable.ai Trading Co-Pilot

Permutable AI is building an advanced Trading Co-Pilot platform that leverages AI-powered market sentiment analysis to provide institutional traders with actionable insights across commodities, energy and FX.

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.
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Permutable AI's Trading Co-Pilot is an institutional-grade market intelligence platform that transforms complex financial data into actionable trading insights. Designed for portfolio managers, hedge funds, and institutional trading desks, our proprietary LLMs continuously process thousands of data sources to identify genuine market drivers across commodities, currencies, equities and bonds. The platform excels at distinguishing signal from noise, spotting causation patterns, and detecting when markets have already priced in events.

Our platform effectively automates what previously required dedicated research teams, helping traders navigate volatile market conditions with confidence. By identifying news fade patterns and providing clear alerts when sentiment remains strong but prices stay range-bound, the Trading Co-Pilot gives professional traders the edge they need to make informed decisions in today's complex trading environment.

  • QuantConnect Landing page
    Landing page //
    2023-10-15

Permutable.ai Trading Co-Pilot

Pricing URL
-
Release Date
2024 January
Startup details
Country
United Kingdom
State
London
City
Richmond
Founder(s)
Wilson Chan
Employees
1 - 9

Permutable.ai Trading Co-Pilot features and specs

No features have been listed yet.

QuantConnect features and specs

  • Comprehensive Data Access
    QuantConnect provides access to a wide range of financial data which is crucial for developing and testing trading algorithms. This includes equities, futures, FOREX, and cryptocurrencies, which allows users to backtest strategies with historical data.
  • Cloud-Based Development
    The platform is cloud-based, which means users can access their projects from anywhere and don't need to worry about the computational resources required for large backtesting tasks. This also facilitates easy collaboration.
  • Wide Language Support
    QuantConnect supports multiple programming languages including C#, Python, and F#. This allows developers to choose from different languages they are comfortable with while coding algorithms.
  • Lean Algorithm Framework
    The open-source Lean Algorithm Framework is at the core of QuantConnect, providing a robust and flexible foundation for algorithmic trading strategies which can be customized to meet specific needs.
  • Community and Collaboration
    QuantConnect has an active community where users can share ideas, collaborate on projects, and seek help from others which enhances learning and innovation.

Possible disadvantages of QuantConnect

  • Complexity for Beginners
    The platform may be overwhelming for beginners due to the vast array of features and the requirement for programming skills, which can be a steep learning curve for some users.
  • Pricing Structure
    While QuantConnect offers free access with certain limitations, advanced features and higher data allowances come at a cost. This pricing may be a barrier for casual or small-scale users.
  • Limited Asset Classes for Free Users
    Free users may face limitations in terms of the number of asset classes and data sources available, which could restrict the range of strategies they are able to develop and test.
  • Dependence on Internet Connection
    As a cloud-based platform, an active internet connection is required to develop and execute algorithms, which could be a problem for users with unreliable internet access.
  • Execution Latency
    Running algorithms on a cloud platform might introduce latency issues which can be a disadvantage if executing strategies that require ultra-low latency transaction speeds.

Permutable.ai Trading Co-Pilot videos

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QuantConnect videos

Difference between Quantopian Quantiacs Quantconnect

More videos:

  • Review - Step by Step Algorithmic Trading Guide with QuantConnect

Category Popularity

0-100% (relative to Permutable.ai Trading Co-Pilot and QuantConnect)
Finance
40 40%
60% 60
Trading
100 100%
0% 0
Development
0 0%
100% 100
Data Analysis
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Permutable.ai Trading Co-Pilot and QuantConnect

Permutable.ai Trading Co-Pilot Reviews

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QuantConnect Reviews

TradingView Alternatives For Budget Conscious Traders
QuantConnect is a quantitative trading platform where you can develop algorithms in Python. It’s gaining popularity for its collaborative environment and large data library that supports backtesting and live trading. QuantConnect is flexible and supports multiple asset classes so it’s good for algorithmic traders.
Source: medium.com

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.

Permutable.ai Trading Co-Pilot mentions (0)

We have not tracked any mentions of Permutable.ai Trading Co-Pilot yet. Tracking of Permutable.ai Trading Co-Pilot recommendations started around Mar 2025.

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 2 years 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 3 years ago
  • Backtesting tools
    For stocks and crypto: QuantConnect and Backtrader For options: MesoSim and OptionNetExplorer. Source: almost 3 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 3 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 3 years ago
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What are some alternatives?

When comparing Permutable.ai Trading Co-Pilot and QuantConnect, you can also consider the following products

S&P Global Market Intelligence - S&P Global Market Intelligence provides essential intelligence for individuals, companies and governments to make decisions.

Quantopian - Your algorithmic investing platform

BloombergView - A new consumer-focused and mobile-friendly opinion site

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

FactSet - FactSet is a provider of financial data and analytic applications for investment management and investment banking professionals.

quantra - A public API for quantitative finance made with Quantlib