Why join Quantiacs

We aim to provide the easiest and most secure experience for our Quants
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Use our free and clean financial market data.
We provide Futures, Stocks and macroeconomic indicators.

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Earn money with your algorithmic trading system. We get capital for it and you pocket half of the perfomance fees with no downside risk. 

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Conveniently backtest your ideas using our toolbox, or Quantinator, our in-browser platform. They are free and open-source.  Register to use them!


Intellectual Property

Your algorithmic trading system is safe on our platform.
It remains a black box and you own the IP at all times. Learn more.

Break Into Algorithmic Trading

Watch the video

Learn Quant Skills

You don’t need to have a PhD to get started. Some of the best performing algorithmic trading systems on our platform are from students who are good at coding and math. Price data for stocks and futures are not that different from other time series. 

Develop and Backtest in the Cloud

Once you are ready to start writing and backtesting your algorithm, download on your machine our Python or Matlab toolboxes or use the Quantinator, our open source, in-browser environment for easy Python and Matlab coding. Have access to our Futures and Stock data and macroeconomic indicators for Backtesting your investment algorithms.

Compete for Capital

Quantiacs hosts the biggest algorithmic trading competitions with investments of $2,250,000. 
This is a great way to build your track record as a quant and to make money with your trading ideas.
The best three trading algorithms get $1,000,000, $750,000, and $500,000.
You pocket half of the performance fees as long your algo performs. 

June,12 2020

The Python 3 Quantiacs toolbox is available on Anaconda.

December,31 2019

The live testing phase for Q13 is complete and the results are in. Please check out the Q13 winners and their winning systems.

Quantiacs now supports Python 3
October,10 2018

We are excited to announce that the Quantiacs toolbox now supports Python 3.  We have released version 3.0.1 of the Python toolkit.