Typical red LEDs used for displays have a peak emission somewhere in 600-650nm range, but it's bell curvish so yeah you can expect a small amount of 670nm light out of it.
Does getting exact 670nm light matter? It's just the wavelength that this particular study investigated. They do not offer conclusions for other wavelengths as they did not test them, it's as simple as that. But a lot of other researchers did, especially in red/infrared part of the spectrum and generally with positive results - http://bitly.com/PBM-database. So I would guess you should be able to get some of the described effect at nearby wavelengths as well. 670nm seems to be near an absorption peak of cytochrome c oxidase, a molecule believed to be involved in the mechanism of light therapy action, which is why I suppose it appears frequently in research.
Really depends on time horizon you're talking about. They actually work pretty well for HFT, there's plenty of data around, and most of the information is just in market data - no nasty low frequency stuff to deal with like news, earnings, alternative data, insider trading, butterflies flapping wings in china etc. But the problem is by the time your GPU spits out a datapoint somebody else can go in and trade a few thousand times in the meantime. State of the art on the most heavy competed exchanges is that your fpga (or even asic) with a fiber connected directly to the exchange needs to start sending ethernet/ip headers even before it made up its mind what it wants to send in the payload.
At lower frequencies when the data gets thin and noise/overfitting is a major problem, yeah it makes sense to use simpler models. Bias/variance tradeoff in action.
Fair points. I talked with a couple of HFTs and the general view was that their asymptotic backtests look promising on GPUs but that for most of the liquid markets the latency is way too high - basically confirming what you write.
On niche markets with low liquidity, one doesn't have such tight latency envelopes but those markets also offer more opportunities in general so again there's no real justification to use fancy ML models or GPUs in general.
GPUs are too slow for HFT trading, yes. Deep neural networks in general do work in this domain, people do use them, but the stuff that you can profitably deploy into production is not going to be your vanilla garden variety neural networks, there's a lot of extra engineering required to make it fast enough.
Why not both? Linear models for absolute lowest tick-to-trade latency doesn't preclude you from using fancier stuff at earlier modelling steps. Final linear models you ship to fpga can be mere distillations/triggers
The author is spot on. You just happened to be working for the scrappiest/shittiest faang that's all. Shop around, there is decent money to be made in Europe - but of course it's not as easy to walk into it as in the US today. Oh and don't forget that it's TC that matters in big public tech, not salary.
I have gone through interview rounds a few months ago at several of the companies the author mentions in the blog post and I can confirm that the range seems about right. The offers I received for their EU offices were between €120k - €170k (total comp).
But - compared to what I have heard about the US, the variance between offers is much more extreme in the EU, depending on whether these companies only compete in the local market or globally, and it is really hard to figure this out before going through the whole process. I have been surprised by a few companies that pay very competitive salaries in the US but which are barely competitive compared to some of the salaries I know from local companies here in the EU.
So yeah, it is possible to find these salaries in the EU, but they will still be considerably lower than what you can expect in the US and the bad offers are harder to weed out in the EU.
>You just happened to be working for the scrappiest/shittiest faang that's all.
You know, with this statement you've just proved his point, that good tech wages in Europe are super scarce when you need to be very picky with wich FAANG you join for good compensation. That's basically skimming the cream off the cream you just skimmed. How much are you left with now, ~1% of the total tech jobs?
Amazon is worst payer among them in the US as well. Facebook and Google pay decent money in London and Zurich, almost on par with US in the latter, London is maybe ~30% less.
> How much are you left with now, ~1% of the total tech jobs?
If you want top 1% pay, you gonna have to hunt for top 1% jobs, seems obvious, no?
>If you want top 1% pay, you gonna have to hunt for top 1% jobs, seems obvious, no?
Of course, but the discussion was about the fact that the tech job market in Europe is poor. You pointing out that the top 1% devs in Europe make really good money doesn't change that since the 99% are left with sub-paar options.
To make it clearer, a better indication would be to look at median opportunities and wages in the tech sectors, and here the wages in the EU are far lower than in the US even when adjusted for the local purchasing power and real estate prices (actually, I think this makes it even worse for Europe, as stuff cost more and real estate is more expensive).
If you remove the 1%ers like FAANGS and other US unicorns pumped with VC money form the EU tech scene, you're not left with much good local grown opportunities, the wages take a massive nose-dive, which is what the majority is earning.
How comes in eastern Europe where fertility is low, immigration is practically non-existent and wages much lower than Sweden, the property prices keep rising too?
Because of internal immigration. Due to povery, lack of investments and lack of opportunities, the countryside there is becoming empty fast as everyone moves from the villages/small cities to the 3-5 big metro areas in the country with top universities and cushy skilled desk-jobs instead of bumming around in rural areas begging for low paying manual labor type jobs.
In western europe, rural areas and small towns, although boring AF, usually have some trade schools or small collages and local industries of their own that still keep locals there and sometimes attract foreigners so not everyone has to scram to the big cities, although big cities there have major housing issues too.
Wages there are high for skilled workers who can sell their work on the global market, like tech workers, but people are tired of the herd stupidity of the population, political corruption, the incompetente of government institutions, underfunded healthcare, useless police, etc. so they pack up and leave even though they'll take a hit on lifestyle frivolities.
Put spare money every now and then into VOO or VT or similar and forget. No knowledge needed and time investment is like a few minutes of your time a month/quarter/year. Squeezing more alpha than that and not losing it, properly done (i.e. not gambling), is at least a part-time job. Chances are you'll do better putting that time into your own career.
Exactly. If you're in tech, you should be shooting first of all for $500k TC today than $500k pnl, the former is way easier (luck aspect aside). No point in thinking about active investing until you have like 7 figures of own capital to manage.
wat? Google used clicks ("navboost") since approximately forever, it's one of strongest signals for all major web search engines. I guess the better question is why they don't optimize ranking directly on clicks, why still bother with all that expensive human raters business... well optimizing for clicks helps but only until a certain point beyond which it starts hurting relevancy by overpromoting old popular results and clickbait. But as an ingredient in overall ranking in one way or another they and everyone else definitely use click data.
Steadily losing 0.5-1kg/month just by cutting out carbs and sugar. Not really full keto (which requires like 70-80%+ calories from fat to maintain ketosis), just paying attention to nutrition facts, stopped buying high carb food, started cooking more with quality ingredients I control, otherwise eat whatever and however much I want.
The biggest change by far was cutting out cow milk which is actually very caloric and sugary. I easily drink 1l+ carton a day and that's 500+ cals alone! Human metabolism is pretty high but that's just too much calories to consume every day and that you can hardly feel. Found a good substitute - almond milk, especially Blue Diamond and Alpro brands - they cream coffee and taste in it just like regular milk with only a fraction of calories and no carbs. Another good sub I grew to love is grated/mashed cauliflower instead of rice and potatoes.
Does getting exact 670nm light matter? It's just the wavelength that this particular study investigated. They do not offer conclusions for other wavelengths as they did not test them, it's as simple as that. But a lot of other researchers did, especially in red/infrared part of the spectrum and generally with positive results - http://bitly.com/PBM-database. So I would guess you should be able to get some of the described effect at nearby wavelengths as well. 670nm seems to be near an absorption peak of cytochrome c oxidase, a molecule believed to be involved in the mechanism of light therapy action, which is why I suppose it appears frequently in research.