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Quant contests • Community • Open-source backtester

How does it work?

Learn, develop and test your Trading Algorithm on Quantiacs
Submit your Trading Algorithm and pass the filters
We evaluate your algorithm on fresh market data during the Live Contest Period
Take one of the top 7 places
Quantiacs allocates 2M USD to each Contest

Your algorithm is traded and generates profit

You receive 10% of the profit

About the Quantiacs

Quantiacs drives innovation in quantitative trading by offering a platform for traders worldwide to showcase their strategies and be rewarded for their achievements.

Prize Pool

Quantiacs allocates 2M USD to each contest. Seven winning strategies for each contest are eligible for allocations and quantsearn 10% of the profits generated by their systems without any downside risk for them. Allocations are distributed as follows:

  • 1M USD to the winner of each contest;
  • 500k USD to the 2nd;
  • 250k USD to the 3rd;
  • 100k USD to the 4th;
  • 50k USD to the 5th, 6th and 7th.
Allocated funds for trading $
  • 1,000,000
  • 500,000
  • 250,000
  • 100,000
  • 50,000
The profitability of the strategy %

Ecosystem

Python

Code trading strategies in Python with ease.

Install Libraries

Customize environments with libraries like TensorFlow.

Cloud Servers

Run strategies on the Quantiacs cloud (8GB RAM, 1 Xeon E5-1650 core per system) or develop locally and submit.

Jupyter

Use Jupyter Notebook and JupyterLab for coding and plotting results.

Market Data

Join contests for Stocks, Crypto, Futures.

Free Research

Open-source libraries for local algorithm testing.

Market Data

Stocks

Quantiacs provides a survivorship-bias-free dataset for companies listed on NASDAQ, along with S&P 500 data for large-cap U.S. stocks.

Stocks
Futures

Quantiacs provides data for liquid global futures contracts. The underlying assets are commodities (energy, metals, agricultural goods), currency rates and financial assets: stock indices and bonds.

Futures
Cryptocurrency Daily Data

Quantiacs provides up-to-date survivorship-free data for cryptocurrencies with the largest market capitalization.

Cryptocurrency Daily Data

Additional datasets

BLS Data
Using BLS Data

The U.S. Bureau of Labor Statistics is the principal agency for the U.S. government in the field of labor economics and statistics. It provides macroeconomic data in several interesting categories: prices, employment and unemployment, compensation and working conditions and productivity.

IMF Data
Using IMF Data

The International Monetary Fund (IMF) publishes a range of time series data on IMF lending, exchange rates and other economic and financial indicators and information about commodity data.

Fundamental Data
Using Fundamental Data

Fundamental Data provides insights into the financial health of publicly traded companies. This dataset is based on official publications from the SEC, allowing users to access key financial information such as assets, liabilities, revenue, and more. Quantiacs leverages these data to help you analyze company performance and make informed trading decisions.

Success Stories

user Timeroot
Trust the Numbers

Meet Alex: a Physics PhD student at UC Santa Barbara who got 1M USD in allocations and currently earns a quant fee for his work.

user anonymous
Anonymous user

S. is currently being paid in Bitcoin for his systems. We know that he used his first payouts to take his wife on a honeymoon to Bali.

user Daniel
Treat Data like Gold

Meet Daniel: a mechatronics engineer and profi trader who got 2M USD in allocations and now earns a quant fee from Quantiacs.

user Emiliano
Interview on Quantiacs with Emiliano, Professor and Quant

Emiliano joined Quantiacs in late 2020 and sent to Quantiacs many suggestions which proved very useful for developing our platform.

user Ivan
Interview with Ivan, Winner of the Q15 Quantiacs Contest

Ivan joined Quantiacs in 2021 and won the Q15 futures contest. His system has got an allocation of 1M USD.

user Ahmed
Interview with Ahmed, PhD Candidate at INSEAD

Ahmed Guecioueur is a PhD candidate at INSEAD, a leading graduate business school. He used the Quantiacs platform for his research and we met him for an interview.

Read more on Medium

Contests winners

Since 2014 Quantiacs has hosted quantitative trading contests and has allocated more than 38M USD to winning algorithms on futures markets.
ContestGold (1M USD)Silver (750k USD)Bronze (500k USD)
Q0Yi-ShuDavidMSukruE
Q1TeaganSercanAYi-Shu
Q2TimerootIncognitiondavmont/JesseK
Q3JeniaTimerootPhidias
Q4DrKodiakAjacksons_poramet
Q5DrKodiakJeniakviggy0
Q6DrKodiakTimerootkviggy0
Q7DrKodiakTimerootJenia
Q8danielkscarmodurasmAzureFractal
Q9danielkscarmos_porametcharless
Q10Sun73dm7mwalimudan
Q11charlessstevefoeldvaris_poramet
Q12s_porametdm7Sun73
Q13charlesss_porametdm7
Q14Sun73stevefoeldvariantinomy
Since 2021, Quantiacs has been hosting quantitative trading contests for predicting futures, cryptocurrencies, and stocks.
Contest1M USD500k USD250k USD100k USD50k USD50k USD50k USD
Q15 Futureskvanvanvant_test_pythonlookmanSun-73AlgotimeEmilianoFraticelliraider512jofre44
Q15 Cryptoanshul96goSun-73lookman0mgsyst3msmwalimudanvg2001TheFlyingDutchman
Q16 Cryptomarcusxinhoquantinomymwalimudananhbt41StayteMagicEmilianoFraticellivsujith
Q17 CryptoRobProfitmarcusxinhoquantinomykvanvanvant_test_pythonAlgotimemwalimudanhma1983
Q18 Nasdaqlookmanraider512kvanvanvant_test_python0mgsyst3msAlgotimejofre44Sun-73
Q19 NasdaqAlgotimeRobProfitkvanvanvant_test_pythonEDDIEEjofre44TheFlyingDutchmanSun-73
Q20 NasdaqRunning
Q21 NasdaqRunning
Q22 S&P500Running
Q23 S&P500Join the Contest

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