Click To Register

Start building your strategy today

AdobeStock_53734123

Registration is Free. Algo Development is Free. Backtesting 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?

$92 Million in Allocations

Since our launch on July 31st, 2017, we have allocated up to $92 Million USD in risk capital to trading strategies that have been licensed from crowd researchers.

CloudQuant News

John "Morgan" Slade

RavenPack - The State of Machine Intelligence in Capital Markets

The financial sector is making a massive shift towards machine intelligence in capital markets. This panel shares their experience in using data science and domain expertise in understanding data context.
$20M Allocation to Crowd Developed Trading Algorithm

CloudQuant Allocates Millions to Crowd-Resourced Trading Algorithm

,
CloudQuant, one of 50’s Most Promising FinTech Solution Providers of the year, has allocated $20 million to a crowd resourced trading strategy. The strategy’s creator, an Australian based crowd researcher, leveraged CloudQuant’s market simulation and python based back-testing tools, to prove the algorithm’s performance and profitably within approved risk parameters.

Industry News & Blogs

bulls and bears

SMB Quant Video 1 - Developing a Model

Jeff Holden develops algo trading models at SMB Capital in New York. He utilizes CloudQuant extensively during his research and development process. In this video he details his process for developing an idea into a model.
Read more
AdobeStock_156702375

SMB Quant Video 2 - Democratization of Trading - CloudQuant

In video two of SMB's new Quant series Paul Tunney discusses why you should use CloudQuant to develop an algorithmic trading model.
Read more
AdobeStock_91734599

AI & Machine Learning News. 17, September 2018

Machine learning AI News covering Andrew Ng's "Heroes of Deep Learning" (if you are already deep into AI / ML you will love these), Sebastian Thrun's latest move (all the big names in ML this week!), Another ML walkthrough (using a huge dataset) and 3 different new articles that come together to make an opportunity for an investment model.
Read more
AdobeStock_95325369

AI & Machine Learning News. 10, September 2018

Machine learning AI News covering developing an AI self-driving system for (very small) cars, overcoming initial pitfalls. Mapping the Chicago crime statistics, how taking an alternative view of data can give you a unique viewpoint. And why AI Hedge Fund Failures do not mean AI failed, in our view why the human imagination should lead the AI not the other way around!
Read more
Algo Trading powered by Alternative Data Sets

Conversations: Effects of Alternative Data Sets on Trading Algorithms

,
What effect can alternative data sets have on trading algorithms? We asked a few of our teammates and systematic traders what the effect of alternative data sets is on trading algos. We thought we could spread some insight as to why our alternative…
Read more
AdobeStock_156702375

Roles Played by Bayesian Networks in Machine Learning

Bayesian Network is a probabilistic graphical model which comprises variables and its relationships. It uses Bayesian inference and learning to develop the algorithm.
Read more
Quotes by TradingView

CIO Review 50 Most Promising FINTECH