Quantiacs is building a crowdsourced quant fund. Join us and download data and our open-source backtester for free. Or code online for free on our cloud. Take part to our contests with your algos and get allocations.
Location: United States, California, Menlo Park
Employees: 1-10
Total raised: $1M
Founded date: 2014
Investors 1
| Date | Name | Website |
| - | StartX | startx.com |
Funding Rounds 1
| Date | Series | Amount | Investors |
| 01.02.2016 | Seed | $1M | - |
Mentions in press and media 5
| Date | Title | Description |
| 25.12.2018 | Критическая масса технологий 2018 года: дайджест прогнозов в ecommerce и ИТ | Обзор технологических трендов от Дмитрия Денискина, директора по развивающимся рынкам компании REG.RU. 10 10 комментариев 3449 просмотров В конце года REG.RU традиционно подводит итоги, но хочется и заглянуть в будущее. Тем более, что мы жи... |
| 14.11.2016 | Crowdsourced algorithmic trading platform Quantopian raises $25 million from Andreessen Horowitz, others | Quantopian, an online platform that strives to turn anyone into a successful quantitative analyst, has raised $25 million in a series C funding round led by Andreessen Horowitz, with participation from existing investors Bessemer Venture Pa... |
| 14.11.2016 | Crowdsourced algorithmic trading platform Quantopian raises $25 million from Andreessen Horowitz, others | Did you miss a session from GamesBeat Summit 2022? All sessions are available to stream now. Learn more. Quantopian, an online platform that strives to turn anyone into a successful quantitative analyst, has raised $25 million in a series C... |
| 15.03.2016 | Quantiacs is high-stakes fantasy football for quants | You’ve seen The Wolf of Wall Street, you’re handy with some code — you just know you can beat the market, but you don’t have the money to invest. What could possibly go wrong. Quantiacs has the platform for you to experiment and try out str... |
| - | Влияние количества источников данных на качество финансовых прогнозов | Статья - интервью, в котором рассказывается об исследовании влияния количества доступных данных для финансовых прогнозов на опытных и неопытных квантитативных исследователей. Целевая аудитория: люди интересующиеся созданием торговых стратег... |