Registration is Free. Algo Development is FreeBacktesting is Free.

You get paid a portion of all trading profits using your algorithm using our capital.

We license your algo.

You maintain full ownership and rights.

At no point do you have to put up your own capital.

Start building your trading strategy now for free.

The Trading Strategy Incubator

Your trading strategies are your proprietary way to trade. You have extraordinary ideas that can be developed into a profitable trading strategy.

CloudQuant® provides you the platform to bring your ideas, your approaches to trading to life. You develop your trading strategy, choose the inputs, choose the parameters, choose the stocks, and run the backtests. Once you are happy with your algo we will fund (provide the capital) and run the strategy using our production platform, with dedicated professional traders to handle the execution, compliance oversight, and technology.

When there is profit, you will get paid a share as a licensing fee for your algorithm. When there is a loss, we lose, not you.

In short, we have the platform (technology, team, data, oversight, risk, and trading capital), you have the ideas. We put those together and partner with you to generate trading profits together.

Learn more about our Trading Strategy Incubator

Why Choose CloudQuant?

CloudQuant News

Trading strategies require thought

Conversations: Recommendations to Someone Starting out at CloudQuant

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The CloudQuant team discusses their helpful thoughts for beginners on CloudQuant. We want to boost everyone starting out on our platform in their algo development and backtesting. Everyone in our company uses the CloudQuant website and coding platform in one way or another. We all use our own application, just like the crowd researchers. When we say that our free backtesting tools are "institutional grade" we really mean it. Every algo we run in our trading and investment strategies is proven in the same backtesting engine as the crowd uses. We rely on the scorecards, the reports, and the simulated trades to ensure that our trading is successful.
backtest chart

Conversations: What we wish we knew when we started AlgoTrading

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CloudQuant's portfolio managers and quantitative algo traders look back on their starts in Algorithmic Trading. This candid overview allows everyone to see the "Things We Wish We Knew When We Started AlgoTrading".  This is a short collection of the interviews with some of our amazing coders here in the office

Industry News & Blogs

stock charts

AI & Machine Learning News. 13, August 2018

Machine learning AI News covering topics of What we recommend for new users of CloudQuant, How a Star Trek named supercomputer is perfecting Cancer treatments, How Google's DeepMind is helping the British NHS detect 50 types of eye disease, How AI can improve our daily live by working alongside us as our assistants, Android Pie, the new AI OS for Android mobiles/machines and our latest features to speed up your model development cycle.
Trading strategies require thought

Conversations: Recommendations to Someone Starting out at CloudQuant

, ,
The CloudQuant team discusses their helpful thoughts for beginners on CloudQuant. We want to boost everyone starting out on our platform in their algo development and backtesting. Everyone in our company uses the CloudQuant website and coding platform in one way or another. We all use our own application, just like the crowd researchers. When we say that our free backtesting tools are "institutional grade" we really mean it. Every algo we run in our trading and investment strategies is proven in the same backtesting engine as the crowd uses. We rely on the scorecards, the reports, and the simulated trades to ensure that our trading is successful.
Quantamental alternative data

Conversations: Learning Python within CloudQuant

What was your experience like learning Python within CloudQuant? We asked our portfolio managers and product management teammates who code in Python to explain their starting experiences in programming with Python with CloudQuant. We wanted to share with everyone what encouraged them to keep learning throughout the years. Everyone here codes as part of their job. This includes the CEO all the way down to the interns. We rely on our Backtesting Engine to ensure that trading algorithms work well before committing money to the automated trading strategies. But we also use JupyterLab in our daily work. We generate our reports, monitor our systems, and do all sorts of tasks in Python. Python has overtaken the spreadsheet in CloudQuant.
stock charts

AI & Machine Learning News. 06, August 2018

Machine learning AI News covering topics of Amazon's new Echo Look - and the mirror that it will eventually become, AI in Marketing - Oh No!, the Mighty Chiplet - making a comeback, AWS's locked in future earnings - are those web services or AI/ML workers, The future of mortgages - faster and more customized - will we be buying houses on Amazon?
Open, Close, High, Low

AI & Machine Learning News. 30, July 2018

In addition to our new video "Things I wish I knew when I started Algo Trading" we have an Intro to Twitter Sentiment Analysis, Drive.ai goes live in Frisco... Texas!, Amazon ACLU spat but how accurate is facial recognition, Lessons we can all take away from the Facebook Data Scandal and UPS Is Thinking About a Future With Autonomous Vehicles.. Finally!
backtest chart

Conversations: What we wish we knew when we started AlgoTrading

, ,
CloudQuant's portfolio managers and quantitative algo traders look back on their starts in Algorithmic Trading. This candid overview allows everyone to see the "Things We Wish We Knew When We Started AlgoTrading".  This is a short collection of the interviews with some of our amazing coders here in the office
Quotes by TradingView

CIO Review 50 Most Promising FINTECH