2,459 karma · joined March 3, 2017
I have a rtl-sdr and I’ve played with gnu radio, but the signals that I had to explore were very limited! Apart from few remotes for fans and stuff around the house I only had fm radio and little more.
What I find very interesting from this is the possibility of taking a Si5351A breakout board, configuring it with I2C (I can do that), modulate it with something like audio and a mixer (I can code that… maybe) and plug that directly, likely through and attenuator, to gnu radio!
It would certainly be a lot easier to get a sdr transmitter, but I wasn’t aware of the possibility of modulating a Si5351A with a “simple” signal like 48kHz audio!
On the pages where you want to stay logged in like in HN, click the lock icon left of the URL and toggle "LibreWolf: Always store cookies/data for this site" and that's it.
There's certainly something refreshing about knowing exactly for which sites I'm storing cookies (so far kagi, HN, gmail, YT...)
I also find curious the human part of wishing to be believed. The numbers in trading are completely ridiculous given that the ceiling is very high for a skilled trader, and thus most people bundle it together with Vegas the hundreds of thousands of dollars in a gambling game or horse race.
I keep forgetting my own complete unbelief until I experienced a trade with triple digit returns... that makes no sense but I did it (the trick is to not return that to the market and to know that those are exceptions and slow and steady wins the race!).
The irony is that many people here in HN (this is y combinator after all) attempting entrepreneurial pursuits with the hope of making a living and a big payout on acquisition and whatnot... in spite of knowing the statistics of how rare it is for that to happen.
At any rate, thanks a ton for sharing that, it is very encouraging! I've seen people do it, that post is one example, and I have the wild believe that I can do it too! I'm expecting nothing but blood, sweat, and tears, but it's worth it for me :-)
I’m probably biased but I prefer futures, even for forex, just because is only one market vs all the extra markets a big spreads in forex, 6E for euro dollar or M6E for even smaller positions/capital/risk.
There also the element that there are a lot of things you don’t learn until you run a system live
There’s usually an inverse correlation between win-rate and accuracy. If you increase your risk you can be right more often but your rewards are smaller. Alternatively you can be more “selective” with tighter stops and thus lower risk and is likely that you’ll be wrong more often but that the winner will be bigger…
I believe that you can have the skills to build a system that can detect patterns from historical data, but notice how, for example, from the previous calculations the problem of trading is less of a “technical” problem and more of a market, risk management, money management, statistical kind of problem.
Then there’s the emotional part of, you still have the power to stop your system… if it has had 4 or 6 losses in a row… are you still keeping it up? Loosing is inevitable in trading, but how much loosing can you handle? Have the market conditions changed? How do you measure that?
Good luck!
I’m just a sample of one, but it’s certainly interesting to see how apparently I’m just one of many
When one starts thinking about how to look at all those factors and when one starts thinking about how to measure those factors (what is volatility? What high or low? Compared to what baseline? Does the baseline move?) it becomes clear that the problem is a bit more complicated to measure and implement in code than it is to train oneself and trade discretionary.
With very fast execution (think server collocation on the exchange and direct fiber network access to the exchange server) the possibility of market making opens, I think of the things that Jane Street does, and look how crazy profitable they are. But very few people have access to that.
It might be time to explore librewolf or Vivaldi again
This is funny tho
> Game is rigged for big players. You are gambling.
That’s the whole point of the thing, I’m not playing their game! Look at, say, wheat… a report comes out with adjusted supply/demands (USDA releases those), then if players need to buy/sell a few million bushels of wheat… well, you don’t buy/sell a couple million bushels of wheat without paying on slippage…
I’ve made money exactly that way from “big players”. We are not playing the same game at all!
Props to whoever can work that out by themselves.
There’s a guy that supposedly has a couple of live trading bots trading live money on YouTube. I’ve watched his stuff and don’t really have reason to not believe him since I can look at the charts myself and see that they are indeed live. His tutorial of mql5 is also very interesting. Algo bot programming is kind of just event programming. When a bar closes or on a tick… buy? sell? do thing? That’s all it is! The trick is in when to buy/sell/do nothing.
https://www.youtube.com/live/QfDysU5eyM4?si=mvjN8dj6IHMlODR6
Futures are leveraged tho, so it’s kinda like a table saw, you can be very efficient with it but it can also remove your thumb as efficiently
I also started with the idea of doing algo trading, my tests results looked amazing! then I learned about slippage, commission, over fitting my stuff to my test data... trading is not a computer problem, is a market problem and once one understands those building an algo makes more sense. I use some tools I coded myself but I still have no idea how to quantify what I see on a chart, why one "signal" I'm fine trading, and another is a no inspite of being the same signal (think stuff like SMA crossing)
Good luck!
But I finally stuck with MotiveWave, so much so that I actually paid for a full license even though there are a bunch of great free platforms. Main thing, works on Linux and macOS, where as many other platforms are exclusive Windows.
Also, the SDK is quite nice too!
As for commodities, I've found some success in agricultural commodities but I also dabble in currencies and indexes. Agricultural though have some interesting characteristics given than they have an actual physical thing behind them as opposed to how stocks move... which varies depending on which side of the bed the CEO of the company woke up!
But you are right, trading certainly makes one A LOT more aware of risk/reward just in general life, which can be good or bad. Also, it is very easy to gamble instead of speculate, that is to trade something one "hopes" would work vs. trading something that has a statistical percentage of working, and the difference between the two is purely emotional, because one can convince oneself of quite literally anything! Come with a bullish bias and everything looks bullish... take a step back and reconsider and see how easy is for one to see what one wants to see.
There’s a humongous amount of BS out there about trading or day trading but the fact is that people do it and make it, and my best friend being a consistently profitable trader for the last 4 years didn’t help my skeptic case…
At any rate, turns out that the challenge of trading is less of a technical or financial one. Sure, one needs to understand stuff like price action and market structure and such, but the core of the thing is kind of like developing this complete disregard towards money. Making and losing money can’t mean anything or have any emotional impact, one needs to just see numbers, statistics and trust on one’s strategy.
I’m not sure I’m comfortable recommending this to anybody because it requires a weird commitment to failing but still striving and it is hard but not in any way I was familiar with. It’s hard in losing X% of my trading account and waking up next day with a clear head to do the same thing again.
This! I’ve found a lot of value in Julia for math specially in financial analysis.
Julia’s DataFrame and general development workflow are excellent for research and when it comes to deployment is not too shabby either.
I’m aware of pandas and the rest in Python, but for some reason Julia feels a lot more “ergonomic” for my use case.
When ok buys a book for kindle, it seems that one supposedly doesn’t own the book? One “owns” it at the “goodwill” of Amazon?
I put my kindle on eBay today and I think going forward I’ll consider buying physical books and when necessary “finding” the digital versions of it?
There’s certainly a very visible increase in price and decrease in capacity but it’s certainly interesting when you get sd cards with a proper datasheet vs. customer level devices
https://www.digikey.com/en/products/filter/memory-cards/501?...
But apart from that Bruno is open source (MIT), you can fork it and have it anyway you want…
The paid option seems just like the traditional open source model of make software free but offer enterprise support. And given that CTOs tent to want to pay for stuff (postman is terrible nowadays but is still picked and paid for) why would Bruno straight up say no to money?