lzhou

it's actually pretty funny since opus will suggest both of these with enough prying (though with a single-prompt it might not try it).

Assuming your result set isn’t massive, it’s not very hard to have a 30-40 line array function (that takes a query) and returns a sql resultset.

John Henry dies at the end of the story.

I find it amusing that there seems to be a cargo cult going on with respect to Steve Job's fashion.

A technology-enabled brokerage is very different from a technology company with brokers. First, there is a cultural difference in who the heroes of the company are. Also, the latter is much more capital intensive.

I suspect they probably would have needed another 20-30MM to really get moving on the latter. A lot of that money going to consolidation of existing brokerages and monopolizing listing content.

Being a neutral aggregator is mutually exclusive from being a dominant brokerage.

I think 4) holds.

We have 2 spectrums for all known strategies (the amount of gold in the veins is another question):

* Strats that are automatable vs non-automatable.

* Strats that are unique (known to a few) vs well-known strats

Automatable:

Well-Known - This is where HFT becomes an engineering problem. It's also the easiest business decision to make. I hire some engineers + buy some computers and I can mint some money for a time. This is also a race to the bottom -- where there will be some easy money to be made at equilibrium, but it'll be unsustainable for HFT firms at the margin. I would say manual trading has 0 impact here -- and they'll likely get crushed.

Unique - These are strategies that only a small set of firms know. Eventually these strategies become well-known as people move around companies. There must be some secret strategies, though. Otherwise, why would Rentech & Citadel sue their own employees (unless we are to believe Simons & Griffin are simply vindictive). I think manual trading could work here if there is a strategy that simply haven't been discovered by the HFT & quant. It's might be hard, but not impossible. These secrets aren't anything you'll find online or in some trading forum, though. Or perhaps they are, but no self-respecting quant would go there (lest they become laughing stocks in their fund).

Non-Automatable:

Well-Known - PE is an example of one. In terms of liquid assets, maybe penny stocks are another area. If a group of "manual" traders couldn't get permission to delve there... it's probably even harder for a quant fund. It's also the territory of insider info and rumors.

Unique - Maybe being there for the liquidity crashes I stated earlier is a good example. But there are certainly non-automatable unique strats around.

Depending on how much gold you believe is in the veins, all strategies are heading towards automatable & well-known. However, in the interim, I can see manual traders still making money (even with a sharpe > 1). In fact, I would say there are well-known strats you can execute manually (in say, your PA, that return sharpe ~0.8ish).

I'm not sure that's completely true.

1) Are there places / markets that ST Arb and HFT won't go because it's too illiquid or too idiosyncratically volatile?

2) Are there edges so small that you won't chase?

3) Are there one-off opportunities (2010 flash crash, UST flash crash recently, etc.)?

4) Is there a set of strategies that manual traders know (which they should probably transfer to HFT strategies) that the HFT/ST arb shops don't know?

I think the answer to all of those questions is "yes". They probably take on a lot more risk per trade. They would also be better served by automating their strategies. But I think it's not as cut and dry as you state.

Each individual trader might be "amateur" -- but the firm as a whole might end up with a decent return / risk.

Another huge thing -- Data quality. Bloomberg gets free crowd-sourced feedback on their data. Apparently, there are hedge-funds (especially for less liquid assets) that make money by finding broken data, buying something cheap (or shorting) and then calling BBG to fix their info.

That's when the flustered interviewee can either fight (patch his solution) or flight (start all over using a class with refs). The most obvious patch is to use a large hashmap instead of a massive array. Still inefficient, but no longer that desperate (and actually has some added benefits).

So the old - allocate a massive array, then use 2n+1, 2n+2 for the left/right children wouldn't have flown with you huh?

For an API, you can also try http://open.mapquestapi.com/nominatim/ (which is kinda free -- and uses OpenStreetMap data).

The biggest problem we've had is changing non well-formed addresses / ambiguous addresses into canonical addresses with lat/lng. Google Maps wins on that front.

Aside from the total debt vs median wage issue - the chart also doesn't mention that THE recession that happened. What happens in a recession? 1) parental wages and/or job security are lower [ie, more debt needs to be taken on] 2)median wages coming out are lower. That may be partly the cause of the relationship.

Median wages dropped (starting in 2007) because of a recession, and we are still in the adjustment process of that (ex. on the wage side). We notice that post popping of the 2001-2002 bubble, the median wages actually increased into 2007.

I don't have all the facts, but the chart is misleading.

I thought this actually involved dating other founders....

Listia is extremely fun. Just paging through some of the auctions, you see the goofiest stuff. Ex: PG's dracula cape (I think worth at least 10 credits...). http://www.listia.com/auction/197

Grats guys! Really love your product =P

Grats guys!