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

Python based Trading Strategies by Machine Learning

Trading Strategy development—Powered by Machine Learning

,
Join us at the NY MarketsWiki Education to hear Morgan Slade’s thoughts on the The Algorithmic Trading Tesseract brings cloud computing, alternative data, machine learning, and crowd researchers together forming a revolutionary crowd in the financial industry.
Andy Kershner, veteran trader discusses CloudQuant

Risk tolerance, daily habits and trade critiques with Andy Kershner

, ,
Trading industry veteran Andy Kershner, the CEO of CloudQuant’s parent company Kersher Trading spoke with Chat With Traders about risk tolerance, daily habits and trade critiques.

Industry News & Blogs

Morgan Slade and Tayloe Draughon with Jill Malandrino of NASDAQ

Discussing Crowd Sourcing Algos with Jill Malandrino of NASDAQ

, ,
NASDAQ's Jill Malandrino discusses crowd research in an Algo World with Morgan Slade and Tayloe Draughon at the FIA Expo 2017
Crowdsourcing Algorithmic Research

CloudQuant at FIA Expo in Chicago: perfect storm for open source revolution in quant trading

,
The impact of machine learning and open source resources on quant trading could be described as explosive. At FIA Expo in Chicago, CloudQuant’s CEO Morgan Slade will be discussing how that’s translating into opportunity for a wider variety of participants.
Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence News October 16, 2017

FINTECH perspective on AI & ML: Barclays, big banks, Data Science Questions, Linear Optimizations, Robo-Advisors, Augmented Intelligence, and more ...
J. Tayloe Draughon

CloudQuant Hires Industry Veteran To Influence and Accelerate Crowd-Sourced Licensing Model

,
Tayloe Draughon has joined the management team as Senior Product Manager. He is a specialist in FINTECH and electronic trading product management.
Machine Learning, Quantitative Investing News

Industry News: Machine Learning and Artificial Intelligence News for the week ending October 9, 2017

AI & ML FINTECH perspective: Chicago startups with chatbots, JP Morgan, Hedge Funds, OCBC, UBS, Morgan Stanley, Google, Zillow, GoPro, Snap, ...
Researcher reading iPad

Big Data, Data Analytics, Data Science in the News October 5, 2017

Data Science Topics: UBS, data quality, cloud-native, Morgan Stanley, wildlife monitoring drones, targeted marketing, retirement planning, Boeing, Google AI
Quotes by TradingView

CIO Review 50 Most Promising FINTECH