nikhilsaraf9

I recently learned about Holochain which is a P2P framework for building scalable distributed apps. You may find it useful: https://holochain.org

The nesting of comments really bothers me too, the deeper you go into a thread, the narrower the columns.

If you're looking for an app that has solved the nested comments issue, check this out: https://shn.app.link/HN-ask2

Disclaimer: I made it, it's open source, and contributions are welcome! (Built in react native)

The commenting experience on mobile left me in pain. That's why I created an open-source HN app using ReactNative: https://shn.app.link/HN-ask1

Which are some of your iOS apps?

hey, you can email me at nikhil-temp-email@forward.cat and we can connect.

Disclosure: I made a P2P payment app for iOS and Android too, it's called AgreeOn: https://agreeon.app.link/p2p-future

Please add comments / solutions on the Stack Overflow link. thanks!

That's fair enough. Total autonomy can be pursued, not necessarily achieved, so better to accommodate and minimize the imperfections

@raverbashing, One trade a day, maybe even less.

I want to clarify, the intention of this system is specifically to NOT be a HFT system because I'm aware of the large handicap associated with inferior data available at slower speeds. It's intended to primarily help with stock picks since it can look through more data than a human can. This would involve both fundamentals and technical analysis. The most frequent trades would be once a day and may end up being closer to once a month. It is intended to be a low-cost solution. I would like the trades to be done by the system but the approach will not require it.

Based on some of the comments it seems such a system will be the underdog and will be the prey for the large HFT shops. And that's one of the risks of such an experiment. Once I put in real money into this (not too much, but just enough to not be consumed by the fee) there will be a hard point after which I'm ready to throw in the towel. I think of this more like an investment management software that has more knowledge than myself (various trading techniques, tax laws, etc.).

Yes. That is a massive handicap that the system will have (it's not going to be co-located and probably won't have access to early information, etc). I'm wondering whether it's possible to develop a system that accommodates these deficiencies while still ending up on top.

Thanks for the advice. I will definitely err on the side of caution and not get caught up with the backtesting and over fitting. Allocating resources (funds) will probably play an important role to manage risk in the system.

At the end of the day, I'm trying to answer the question: can you make money in the stock market with a low-touch (eventually no-touch) approach with the help of advanced software and analytics. Hopefully the answer is yes ;-)

Yummyfajitas, that's exactly why I do not want human input. Also, I'm not trying to make money on every bet, but to make more money in my winning bets (less fees) than I lose in my losing bets.

That's very interesting. I'm trying to integrate the concept of "special events" like earnings or dividends or announcements into the mix. Although that isn't the driving force for what I'm trying to do. I'd be interested to learn how it works out for you guys.

Seems highly rated and a classic. Will get myself a copy.

I had actually looked into quantopian when I was getting started, but decided not to use that for my primary source of backtesting because they place limitations on users since that reduces pressure on their systems, allowing them to scale. This restricts backtesting ability and was a dealbreaker for me. The publicly shared algorithms, on the other hand, seem like they can provide a lot of insight, and I will look into those. Thanks!

Thanks for sharing, seems very close to what I'm trying to do. Will give that a thorough read!

I haven't based this off of any existing papers yet, I'm intending for it to start off as fresh research, and depending on how it goes, maybe include/test theories from existing papers. Do you have any papers that you would recommend?

If you could please shed some light as to why you hold that opinion (past experience etc.), it would be of great help!

I haven't read the book. From the description on Amazon it seems the investor/mathematician let his emotions come in the way of his investment decisions which led to him losing money. I think that's a risk we run by providing that human touch, which sometimes may even help us if the software is making stupid decisions. My goal is to build a fully-automated system (no human interference) that makes "confident" decisions based on statistics and hard numbers.

What are some of the cool "unintended powers" you would want from Google Glass?

Have you considered putting yourself out there. What I mean is that have some project that you can show as your own work. With your name on it. Work hard towards making that successful. Be it an app, a website, an open-source project, it has to be recognized as primarily your development work.

This could some day become a business or a side project as a hobby but for now it will give you a load of credibility when you go for interviews and will also give you the confidence that you need.

Good Luck!

seems like a great idea! wondering if you could plug this into comments on facebook where you could have your own such images embedded into text, like custom emoticons (or make the like like an @mention where its a word and a link to an image at the same time). Great stuff!

Maybe they should build a superhuman army to take over the world, but then they'd have competition with Google! ;-)

That's awesome! maybe you should invite some more friends to it and collect some more money ;)

I agree with you that the shareholders control public companies (mainly by the stock price). In a free market this would mean that the stock holders have indirectly indicated that it is best for Apple to give back cash instead of hoarding it because they feel Apple has no better investment they can make. IMO Apple has so much in cash reserves that if they tried to invest most of it they would be very loose and would make not so lucrative investments, so it may just be best that they return some of it back the way they are, and also invest some more in R&D.

Dell is currently also in the process of taking itself private in what could be the largest of it's kind, and a precursor to what we could see coming ahead. Read this article for more about it: http://venturebeat.com/2013/02/05/dell-privatization-marks-a...

You seem to have understood this for the most part. What this really boils down to is simple economics: supply and demand. Apple says they will spend $100 Billion to buy back shares. But who's shares will they buy, yours, mine? How to decide? How does this help shareholders?

Well... as it turns out, people who know about this news will realize that there is an increased demand for Apple Stock (since Apple effectively entered the market to buy their own shares). These people will hold out to sell at a higher price. More buyers means greater value for the product -the stock in this case. Others will follow slowly causing the price to gradually rise, the stock rose ~4.6% after the news broke.

People who want to sell will take the money and sell (at the higher price), while others will hold on, and will be rewarded by a higher share price of their existing Apple shares. Thus, everyone wins!

Thank you John. This is a preliminary version of the app to prove the concept behind it and get feedback about what people think (Lean Startup, MVP). So far the response has been quite good and warrants moving forward with it. What you have requested will be included in the upcoming updates, I hope you will check them out!

Felice, Thanks for checking out the app, I'm glad you found value in AgreeOn and hope that it continues to solve your money lending issues. I've been working on a UI update that will give it a more professional look and feel to polish it up a bit.