Quant Hedge Fund Balance Computer and Brain Power

http://www.institutionalinvestor.com/article/3558232/asset-management-hedge-funds-and-alternatives/quant-hedge-funds-balance-computer-and-brain-power.html?ArticleId=3558232#/.V04BgWaYtRM.facebook


MAN-AHL

The firm trade four main strategies
1. classical long term trend following
2. proprieatory trend following
3. multistrategy
4. long only

- Man has been developing machine learning algorithms for half a decade.

"But the traders and scientists must know how the algorithms work and how avoid overfitting data to a trading hypothesis.

"You have to understand both the problem and the data, and fit them together carefully"
"You always run the risk of overfitting"


Aspect
- Aspect's trading program is actually seven in one, operating at a range of frequencies by capturing trends of between two weeks and six months.
- Aspect occupies a middle ground, blending human intuition and rigorous research to create trading programs that aren't just autonomous algo.

"Our research approach has always been hypothesis-driven"


WINTON
- Open a San Francisco data science center to tap Silicon Valley's talent
- See a future in building proprietary data sets.
- Winton ventures, a new venture capital unit that is on the hunt for data-driven start ups
- "We are interested in companies where really understanding what can be inferred from the data - drawing valid conclusion from the data - is essential to the success of the business