Aug
11
(150 Views / 0 Upvotes)
0 Replies

We are pleased to announce our new subreddit at https://www.reddit.com/r/quantiacs/!

Screenshot from 2021-08-11 13-21-03.png

Aug
5
(231 Views / 0 Upvotes)
2 Replies

Quantiacs is introducing a referral program aimed to reward users who act as mentors for new users.

If you invite a friend to Quantiacs and, after registering, she/he submits an algorithm which passes all submission filters, you and your friend get 15 USD each.

You can find the details in your user area.

  • Share your personal link with your friends.
  • Get a reward if your friend submits a strategy to the competition.

You can invite as many people as you like, and get 15 USD for each successful referral.

The current referral program ends on August 31st, 2021.

Jul
6
(523 Views / 2 Upvotes)
11 Replies

Hello quants! The submission phase for the Q16 Quantiacs contest started. You have time until end of October to submit your code. Then, the live evaluation phase will start and end on 28 February 2022. The best systems will receive allocations for a total of 2M USD.

This contest focuses on cryptocurrency data.
bermix-studio-gogwOet3mkM-unsplash (3).jpg

Photo by Bermix Studio on

May
10
(473 Views / 0 Upvotes)
7 Replies

Dear all,

as we mentioned last week, we have been restructuring our data offer.

The Futures BTC contract has been replaced by the spot BTC one, active 7 days per week.

For the other Futures we are now providing a set of 71 assets which can be inspected by using:

import qnt.data as qndata
future_list = qndata.futures.load_list()
future_list

Unfortunately we have been notified that a new CME Group Data Licensing Policy is in place. This policy affects distribution of Historical Information for Futures contracts and is available at

May
6
(911 Views / 1 Upvotes)
0 Replies

Emiliano joined Quantiacs in late 2020 and sent to Quantiacs many suggestions which proved very useful for developing our platform. We had a short chat and we are sharing his thoughts.

Hi Emiliano, can you tell us something about yourself and your background?

I have always had a strong passion for technology and finance. I started following developments of the financial markets on a daily basis since I was 14 or 15 years old, mainly on satellite Bloomberg TV. Later I chose to study Computer Science and got my Masters Degree. In my Master thesis, I used several Machine Learning methods, particularly Genetic Algorithms, to forecast financial markets. In the last ten years – I am 35 now – I had the opportunity to w...