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~$ cd blackrose-tech/what-we-do

./ what-we-do

quant trading: 21st century alchemy

[ Data + Algorithms ] x Good Luck = Money

TL;DR: we build intelligent machines that make money.

Quantitative trading - the art of building algorithms to predict and profit from financial markets - could be one of the hardest and most lucrative data science problems in the world. Solving it is applied AI at its finest.

Quant trading combines programming and trading. Programming is the fastest way to take an idea and turnit into reality. Trading is the most direct approach to making money. Combining programming and trading, you have the most direct path from an idea in your brain to cash.

 

Trading provides a unique set of challenges for machine learning research and software engineering. Datasets contain trillions of noisy observations. Data streams faster than most software can process. Markets constantly change and adapt, causing patterns to fade and rendering existing models useless.

To keep us at the top of our game, we rely on quants that use a supercomputer to look for patterns in petabytes of market data and devs that build meticulously engineered systems to execute trades faster than the blink of an eye.

7

TFLOPS

Processing Power

640

GB VRAM

for GPU Acceleration

4

TB RAM

In-Memory Storage

260

Mil USD

Daily Trading Turnover