Earlier quoted context omitted.
1. You gotta start somewhere. Keep laughing at noobs though. 2. It says this person is new, and doesn’t have connections or inroads to get capital from “a big multi-manager”. 3. Sounds about right, but I disagree that the only way to go out on your own is by starting at an established shop. That doesn’t pass the sniff test. Very likely won’t make a profit. Sure. Will it get him a job offer, connections, or experience…
Noobs deserve to be laughed at when they start taking capital from retail investors.
Show HN: Algorithmic trading for everyone
61–70 of 81 posts
Re: Show HN: Algorithmic trading for everyone
#62Well, you tried something, next time try to make something that can't lose ordinary people money unexpectedly. A few notes: - The links didn't work in my mobile browser. - What I've seen similar platforms do is let users create strategies and then let other users invest in those, for a share of the profits. - Are you actually accepting investments already?? I hope that's just your family, but you might be in deeper l…
Re: Show HN: Algorithmic trading for everyone
#631. Takes months/years to develop a profitable trading strategy with a team of people. 3.5/mo on multiple algorithms is kinda laughable. 2. The adverse selection here is really really high: if you could generate alpha, you would find some capital from a big multi-manager or allocator (which is incredibly easy to get these days), and just focus on running their money. The fact that you are making a retail focused site…
Thank you for your feedback. It's a work in progress. Being the only developer, an engineering student and a part-time freelance dev at the same time, it's hard to keep up with the maintenance of the algorithms and keeping the platform working perfectly. 3.5 months was the time i developed full-time. Some of the algorithms have been running since aug 2020
Re: Show HN: Algorithmic trading for everyone
#64Any time I see ML claims, I want to see rigorous validation. At the end of the day, whether or not your approach works isn’t debatable. It’s measurable. My prior is that everyone is full of shit, because most ML claims are.
Check some of my ML projects here!: https://github.com/MatiasMingo/Machine-Learning-Projects
Cheers!
Re: Show HN: Algorithmic trading for everyone
#65Great idea, I wish for you to succeed with that and do not be discouraged by negative comments here. If you love what you do, keep doing it, eventually you will figure out the missing pieces. Take a look if you still didn't at open source trading bots like Gekko. And add a email subscription service, I would love to be notified about news and product updates. Good luck!
Kindly, Matías
Re: Show HN: Algorithmic trading for everyone
#66Since your site is down - and if this is open source, can you share a link to the source code?
Kindly, Matías
Re: Show HN: Algorithmic trading for everyone
#67i don’t think you can simply let people invest in strategies you manage. that stuff is highly regulated and i think you will have to become a broker?
Cheers!
Re: Show HN: Algorithmic trading for everyone
#68Earlier quoted context omitted.
Thank you for your feedback. It's a work in progress. Being the only developer, an engineering student and a part-time freelance dev at the same time, it's hard to keep up with the maintenance of the algorithms and keeping the platform working perfectly. 3.5 months was the time i developed full-time. Some of the algorithms have been running since aug 2020
Don't let these people discourage you. You are starting up and by the fact that you already got people's attention in HN, that shows that you are onto something greater. Keep the good work!
Cheers!!
Re: Show HN: Algorithmic trading for everyone
#69How would you compare yourself with Quantopian? https://en.wikipedia.org/wiki/Quantopian
Re: Show HN: Algorithmic trading for everyone
#70Another interesting platform which grows on similar concepts is Composer: https://www.composer.trade
A big missing piece in OP's project is a backtesting - I think that a very important part of testing your strategy is trying it on real-world data.