A new view on algorithmic trading. Developing financial tools and trading systems for clients, we’ve coded several hundred trading strategies. Some fulfilled expectations, others failed miserably. Coming from a background in physics and computer game programming, I wondered why trading seems not to be an exact science. What is the difference between a successful and a doomed strategy? And how can you determine that before actually trading it?
Premium:
This is a premium link