I cannot type what I talk about here but there are quite a number of gems I have never publicized before. This is an important 30+ minute video. I especially highlight you do not need to trade 24/7. If you set a certain target of daily percent moves against your overall portfolio, you can easily reduce risk by overtrading. This takes place in both up and down markets for the crypto currency asset class.
There are lessons in this 30 minute video
Please watch this video with all the others I have highlighted on Youtube channel at youtube.com/quantlabs.
So many people want to build these high frequency trading systems but personally I think they’re learning from the wrong people. I am very lucky to have people who have contributed
to my own knowledge to know the right way and a wrong way to develop these trading systems. If you followed me for a while, you know who exactly I’m referring to. If you don’t know
who I’m referring to, let’s just say they’re making more then your family for the next 20 generations will ever make. Fortunately he was able to give me a solid advice and probably the best
advice I’ve ever heard regarding all these programming languages.
I also find it quite preposterous how these old school trading gurus claim they are pumping out well to do traders. To me, that is utter garbage, if you’re confident with your trading audience
or community you would easily allow third-party analysts to to measure their income. It is to showcase who is making bank! if they are, then you would showcase it. Wouldn’t you? Well guess
what? I do that with a service called Quantcast. At my last check, 40% of my trading audience makes over $150,000. Let me stress this: it is verified by Quantcast!
As I posted a old item on someone’s neutral review of Anton Kreil, another Facebook follower posted this:
Anton was an institutional trader, there are huge differences between institutional trading and retail trading. Here you go, successful deutsche bank currency trader, and he sux as retail…
As you know we’ve had a few highly successful Forex traders who have run various operations that profit in the millions. This person referred me to this video to watch which had this description:
Batur traded €100 million in forex markets for Deutsche Bank and Credit Suisse and has worked for several other banks and funds for over a decade. The interview covers London trading life, how market makers operate in the forex market, algorithms and quants and trading psychology.
Expert Insider thoughts on low latency programming trading languages like C C++ Java vs Python
A set of tips came in from another expert through my newsletter:
Let me try to categorize things from Low latency point of view.
such systems like HFT application has two parts of it, one part which is latency sensitive and one part which is non latency sensitive.
Component which are latency sensitive are developed majorly in C and C++.
and non latency sensitive component can be developed in any language of choice in which developer feel comfort and have expertise to make the development much faster.
–> Yes this is definitely a big standard, I prefer C as it even simpler and better hook development into a low latency operating system like a custom Linux kernel
The major reason why industry and senior developers in profession prefer to use other language is because Mastering C and C++ is too difficult hence getting an expertise developer in C and C++ is difficult. One things I would like to point if developer has not written a latency sensitive code in C and C++ it will not be latency sensitive application.
People prefer Java because it is too easy to learn and things are faster to develop and maintain as compared to the core part of C and C++. Java is pure Object Oriented language. While Object oriented is just one part of C++.
–> The suggested open Trade Manager Java project could be a decent starting point here. The .NET stuff I have worked is definitely another great starting point
Which is normally low latency developer avoid and use the template generic programming which is much harder to learn.
–> Totally agree, you want your systems to be generic based only with no state as that takes up less processing
Python is never been a main stream language for Low latency side of the system. It will be a poor choice. But yes for the part of the system which is non low latency python might be a smarter choice it will give you much faster development cycle and easily maintainable code base.
–> I really agree here so most should stick with a high performance language like C to reduce jitterness at the OS level, Java does this with the garbage collector. I have provided many video talks from experts on this including from the biggest banks on the planet.
Start categorize your systems.
Also avoid mixing and using language adapters and try to find other alternative solutions.
Some insider trading secrets I thought you would like to know about:
Are these videos from Anton Kreil videos golden for those who gives insider secrets on Goldman Sachs traders – See more at: https://quantlabs.net/blog/2013/11/are-these-videos-from-anton-kreil-videos-golden-for-those-who-gives-insider-secrets-on-goldman-sachs-traders/#sthash.Qa7LhNbH.dpuf
I love tasty Trader so here are some beginner tips: