Readit Newsvillager commented on Machine learning on mobile – hard mode on? my-it-notes.com/2022/09/m... · Posted by u/villager
How easy is to rollout your ML solution on the mobile device now days?
This is a really spot on take on this moment in time. I also wrote a bot circa 2016/2017 [1] and the constant exchange error handling killed any profit I would eek out of the arbitrage. I was only doing this part time while a student so wasn't a huge deal to me, but losing to an exchange throwing up an error that I had never seen before and never would again, or my all time least favorite exchange cryptsy having one side of their books 'stuck' for hours was fabulous.
That was the most funny thing - we thought if we work only with major exchanges - we will avoid any issues related with immature systems.
Thats make me severely reconsider acceptance criteria of product to be ready to face customers :D
My eyebrows went up when I read "It was early 2017." I'm pretty sure I remember chatting about this at work in 2013 or very early 2014 and even then my understanding was that it was too late and that automated cross-exchange arb trading had already been done. It's exceptionally difficult to squeeze any profit out of this kind of very crowded trade. There have even been Twitter bots that have come and gone which automatically identify opportunities and broadcast to the whole world how an aspiring entrepreneur can lose a lot of money trying to make fractions of a penny if they act now.
That's the thing that was difficult to overcome - it was common belief and a common perception that everything were settled already.
Probably in other fields situation might be the same - judging only by facts and data can bring potential opportunities.
I also shared this experience. I moved from a Python prototype to Java for improved concurrency but still ended up being beat out by somebody closer or faster.
yeah, choice of language is not so easy in this case: c++ seems to be industry standard, but I am curious to measure how golang or scala would improve time of development and what would be their performance.
I did something similar (https://github.com/Metabot-Tech/artis), I stopped when my bot wasn't fast enough to place order. I had a lot of fun trying to optimize round trip time with various datacenters around the world.
Out of curiosity what was the full timing - since the moment we get data till the moment when we sent request to exchange?
>> I had a lot of fun trying to optimize round trip time with various datacenters around the world.
To be honest - I am thinking crypto exchanges are not at this state yet: many of them relying on public clouds, some of them still send non-compressed plain text json data, etc.