From the article: "And if you are careful enough to save money (for example living at home saves about 3K a month when all is said and done) and not increase your expenses too much (no need to get a Porsche when a BMW or VW suffices), it’s not hard to save 200K by the time you turn 24."
Uhh, sure? 200K at 24, in savings?
So that's about 250K pre-tax. Say you graduate high school at 18, find a magical job that gives a high school grad $42,000 a year, and spend /not one cent/ for six years, maybe... (or extrapolate outwards).
Or maybe you go to college. Graduate, let's say, age 21... In this economy, how many college graduates walk out of school into an $85,000/year job and no living expenses...
Never underestimate the value of a silver spoon in your mouth... and never underestimate the power of denial about just how silver your spoon is.
Due to family financial pressures, I had to graduate early. Fortunately I was taking enough credits to graduate a year early.
I really didnt want to discuss numbers, but I realize that the comment seems a bit misguided if not put in perspective. I started out with salary 250K (not including signing and year-end bonus), but most of my salary excess went to helping out my parents, so I really couldnt save much. Most of the savings came from saving bonus checks and not increasing spending when I was promoted.
My remark about the car specifically was to point to the fact that almost all of my coworkers were fortunate enough not to have that type of family pressure, so they could afford to get nicer cars (my BMW is a 40K 3-series, for which I could take a lot of deductions because I was running a startup at the time, compared to some of my subordinates driving 160K porsches). It's easy to say that you won't scale up your expenses when your income rises, but its hard to do so when your coworkers and social network are scaling up much faster than you.
Presumably, the kind of person who would start their own HFT company is earning more than 85K/year out of college. Close to double that if they're a trader at a bank, potentially more if they're at a smaller firm and do well.
Still, 200K after two years of work is a tall order after taxes and living expenses. But given four or five years, it's not that surprising.
> In this economy, how many college graduates walk out of school into an $85,000/year job and no living expenses...
Probably the same people actually able to set up a HFT shop. Let's face it, this isn't for everyone. I don't think we should be crucifying the author on this particular point, it seems like there is a lot of interesting information to be had here.
FTA: "Many successful people are persuaded not to try. For most people, a steady $500K/yr is enough to keep them happy, especially if they are protected from the risks of the business."
I'm pretty sure he's starting out making $500k (as a quant, I guess), not $42k. Other sections of the article imply that he was working at in finance and then decided to go out on his own.
I'd like to go on the record as the pessimist in the room. If you go down this path, I strongly believe that you're going to lose your shirt building a bankruptcy machine. In many ways, the markets are a mechanism for transferring your money to the pockets of people who started out with more money than you.
I'd strongly suspect that this guy is definitely in the upper middle, to begin with. "Why buy a Porsche when a BMW will do?", complaining about the duldrums of a six digit income... talking about being easily able to have quarter of a million in savings at age 24... etc, etc.
Here's another question I'm curious about. Given that you've decided to start an automated trading firm, how much better off are you going for microsecond timescales rather than, say, seconds or minutes?
Would be very interested to see the rest of the story. I've always had a lingering interest to bootstrap a trading algorithm. It doesn't even have to be HFT.
As an ML/AI guy, I'm curious about the problems encountered by HFT systems. What I would love to see is some data, along with the desired outcome. Maybe also include the amount of time available to make the said decision. One could go further and institute a "Netflix prize" with such data.
Right now, I'm clueless about what kind of data these systems deal with, and what are they supposed to do.
Many of the items discussed in this pre-article seem way overkill for what the author seems to be trying to do. It doesn't take much to create an account with a reputable broker like Interactive Brokers that has a good live API for auto-trading (and support paper trading to test your code without using real cash). There are no upfront fees on many brokers and the commission is often minimal depending on the transaction. eTrade has similar APIs. Historical data is available at minimal cost through a sites like eoddata.com. Also, especially if you're just starting and experimenting with formulas, using your personal laptop/desktop with a live feed from IB is more than enough to act on live tick data for the symbols you're interested in.
You can't do ultra low latency trading on IB or any of the discount brokerage houses. Essentially, your order goes through their system before it goes out on the broad market, and that (time) cost is orders of magnitude larger than the internal system cost. Also, the (economic) costs of doing business with that type of broker are comparable to to the profits.
There are difficulties with simulating at this level, and I will go into this later, because the quality breaks down. Many ultra low latency trades involve some sort of rebate capture (profiting off of the fact that the exchange gives you money if you provide liquidity to the markets), and that requires some sort of model for how the rest of the market would react to the presence of your extra liquidity.
[+] [-] FireBeyond|14 years ago|reply
Uhh, sure? 200K at 24, in savings?
So that's about 250K pre-tax. Say you graduate high school at 18, find a magical job that gives a high school grad $42,000 a year, and spend /not one cent/ for six years, maybe... (or extrapolate outwards).
Or maybe you go to college. Graduate, let's say, age 21... In this economy, how many college graduates walk out of school into an $85,000/year job and no living expenses...
Never underestimate the value of a silver spoon in your mouth... and never underestimate the power of denial about just how silver your spoon is.
[+] [-] veyron|14 years ago|reply
Due to family financial pressures, I had to graduate early. Fortunately I was taking enough credits to graduate a year early.
I really didnt want to discuss numbers, but I realize that the comment seems a bit misguided if not put in perspective. I started out with salary 250K (not including signing and year-end bonus), but most of my salary excess went to helping out my parents, so I really couldnt save much. Most of the savings came from saving bonus checks and not increasing spending when I was promoted.
My remark about the car specifically was to point to the fact that almost all of my coworkers were fortunate enough not to have that type of family pressure, so they could afford to get nicer cars (my BMW is a 40K 3-series, for which I could take a lot of deductions because I was running a startup at the time, compared to some of my subordinates driving 160K porsches). It's easy to say that you won't scale up your expenses when your income rises, but its hard to do so when your coworkers and social network are scaling up much faster than you.
[+] [-] scottostler|14 years ago|reply
Still, 200K after two years of work is a tall order after taxes and living expenses. But given four or five years, it's not that surprising.
[+] [-] akanet|14 years ago|reply
Probably the same people actually able to set up a HFT shop. Let's face it, this isn't for everyone. I don't think we should be crucifying the author on this particular point, it seems like there is a lot of interesting information to be had here.
[+] [-] notJim|14 years ago|reply
I'm pretty sure he's starting out making $500k (as a quant, I guess), not $42k. Other sections of the article imply that he was working at in finance and then decided to go out on his own.
[+] [-] alsocasey|14 years ago|reply
I'll continue reading for the technical insights, but honestly, this reflects a certain lack of perspective.
[+] [-] spullara|14 years ago|reply
[+] [-] bhickey|14 years ago|reply
[+] [-] FireBeyond|14 years ago|reply
[+] [-] ScottBurson|14 years ago|reply
[+] [-] SeoxyS|14 years ago|reply
[+] [-] SkyMarshal|14 years ago|reply
http://www.amazon.com/Quantitative-Trading-Build-Algorithmic...
http://collective2.com/
[+] [-] ajays|14 years ago|reply
Right now, I'm clueless about what kind of data these systems deal with, and what are they supposed to do.
Any HFT/ULLT people willing to share data?
[+] [-] arange|14 years ago|reply
[+] [-] veyron|14 years ago|reply
There are difficulties with simulating at this level, and I will go into this later, because the quality breaks down. Many ultra low latency trades involve some sort of rebate capture (profiting off of the fact that the exchange gives you money if you provide liquidity to the markets), and that requires some sort of model for how the rest of the market would react to the presence of your extra liquidity.
[+] [-] veyron|14 years ago|reply
[+] [-] jimlast|14 years ago|reply
[+] [-] somecoolguy|14 years ago|reply
[+] [-] veyron|14 years ago|reply