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Compiling LLMs into a MegaKernel: A path to low-latency inference

https://zhihaojia.medium.com/compiling-llms-into-a-megakernel-a-path-to-low-latency-inference-cf7840913c17
78•matt_d•2h ago•21 comments

Curved-Crease Sculpture

https://erikdemaine.org/curved/
139•wonger_•8h ago•19 comments

Homegrown Closures for Uxn

https://krzysckh.org/b/Homegrown-closures-for-uxn.html
46•todsacerdoti•4h ago•2 comments

How OpenElections uses LLMs

https://thescoop.org/archives/2025/06/09/how-openelections-uses-llms/index.html
73•m-hodges•6h ago•21 comments

Show HN: EnrichMCP – A Python ORM for Agents

https://github.com/featureform/enrichmcp
62•bloppe•4h ago•16 comments

Andrej Karpathy: Software in the era of AI [video]

https://www.youtube.com/watch?v=LCEmiRjPEtQ
1041•sandslash•21h ago•576 comments

Show HN: A DOS-like hobby OS written in Rust and x86 assembly

https://github.com/krustowski/rou2exOS
124•krustowski•8h ago•22 comments

Estrogen: A Trip Report

https://smoothbrains.net/posts/2025-06-15-estrogen.html
90•sebg•2h ago•26 comments

Extracting memorized pieces of books from open-weight language models

https://arxiv.org/abs/2505.12546
32•fzliu•3d ago•7 comments

Star Quakes and Monster Shock Waves

https://www.caltech.edu/about/news/star-quakes-and-monster-shock-waves
26•gmays•2d ago•4 comments

Testing a Robust Netcode with Godot

https://studios.ptilouk.net/little-brats/blog/2024-10-23_netcode.html
21•smig0•2d ago•5 comments

Guess I'm a Rationalist Now

https://scottaaronson.blog/?p=8908
189•nsoonhui•11h ago•544 comments

Show HN: RM2000 Tape Recorder, an audio sampler for macOS

https://rm2000.app
6•marcelox86•2d ago•1 comments

Show HN: Claude Code Usage Monitor – real-time tracker to dodge usage cut-offs

https://github.com/Maciek-roboblog/Claude-Code-Usage-Monitor
176•Maciej-roboblog•12h ago•98 comments

What would a Kubernetes 2.0 look like

https://matduggan.com/what-would-a-kubernetes-2-0-look-like/
112•Bogdanp•10h ago•178 comments

Flowspace (YC S17) Is Hiring Software Engineers

https://flowspace.applytojob.com/apply/6oDtY2q6E9/Software-Engineer-II
1•mrjasonh•5h ago

Show HN: Unregistry – “docker push” directly to servers without a registry

https://github.com/psviderski/unregistry
604•psviderski•23h ago•134 comments

Posit floating point numbers: thin triangles and other tricks (2019)

http://marc-b-reynolds.github.io/math/2019/02/06/Posit1.html
42•fanf2•7h ago•27 comments

DNA floating in the air tracks wildlife, viruses, even drugs

https://www.sciencedaily.com/releases/2025/06/250603114822.htm
52•karlperera•3d ago•49 comments

Juneteenth in Photos

https://texashighways.com/travel-news/the-history-of-juneteenth-in-photos/
164•ohjeez•4h ago•94 comments

Why do we need DNSSEC?

https://howdnssec.works/why-do-we-need-dnssec/
64•gpi•5h ago•100 comments

From LLM to AI Agent: What's the Real Journey Behind AI System Development?

https://www.codelink.io/blog/post/ai-system-development-llm-rag-ai-workflow-agent
110•codelink•12h ago•34 comments

Visual History of the Latin Alphabet

https://uclab.fh-potsdam.de/arete/en
91•speckx•2d ago•62 comments

Munich from a Hamburger's perspective

https://mertbulan.com/2025/06/14/munich-from-a-hamburgers-perspective/
95•toomuchtodo•4d ago•78 comments

Geochronology supports LGM age for human tracks at White Sands, New Mexico

https://www.science.org/doi/10.1126/sciadv.adv4951
33•gametorch•6h ago•12 comments

Getting Started Strudel

https://strudel.cc/workshop/getting-started/
121•rcarmo•3d ago•48 comments

Elliptic Curves as Art

https://elliptic-curves.art/
191•nill0•18h ago•24 comments

My iPhone 8 Refuses to Die: Now It's a Solar-Powered Vision OCR Server

https://terminalbytes.com/iphone-8-solar-powered-vision-ocr-server/
420•hemant6488•1d ago•177 comments

June 2025 C2PA News

https://www.tbray.org/ongoing/When/202x/2025/06/17/More-C2PA
14•timbray•5h ago•0 comments

In praise of “normal” engineers

https://charity.wtf/2025/06/19/in-praise-of-normal-engineers/
116•zdw•4h ago•85 comments
Open in hackernews

Show HN: TrendFi – I built AI trading signals that self-optimize

https://trend.fi
30•wolfman1•3d ago
Hey HN,

For the past few years, I've been obsessed with trying to get AI to produce accurate trading signals. The main challenges I found with AI trading models are lack of consistency, context window bottlenecks, hard to backtest, and high cost.

Asking ChatGPT "Should I buy Bitcoin today?" doesn't work well because the LLM doesnt have a set trading strategy to opperate from. In addition, the small context window makes it challenging to fit enough historical data into. Not to mention it gets very expensive as well.

My solution is a hybrid approach. Instead of having the LLM make direct predictions, I use AI as the "conductor" in the system that has the ability to run a series of backtesting simulations on high thread count AMD EPYC servers.

The AI then processes the results, identifies optimal parameter changes, and can self-optimize after every trade (as needed) to adapt to changing market conditions. This setup uses LLMs for high-level reasoning and CPU cores for what they do best.

I should mention that TrendFi is designed as a trend based model. It's not for day trading or catching every small market fluctuation. Its goal is to accurately identify major trend changes and provide clear alerts for those key moments.

Check it out: https://trend.fi

– Michael

Comments

henning•5h ago
The usual response applies: if you have profitable trading signals, why would you sell it? Every time you sell a copy, that makes it less effective.
cortesoft•4h ago
Usually, the reason is you lack capital to trade on your signals yourself.
Vaslo•4h ago
Seems like you could build the capital fairly quickly if your system works. And you should be able to have people invest in you if you show results.
deadbabe•4h ago
Money now is better than money later. If you have a secret that is guaranteed to make money, but only over the course of several years, you could just sell it now and get that profit today instead of waiting.

The person buying the secret will pay less than the long term profit as a fee for them giving you the money upfront now.

But if you have rights to resell the secret multiple times you will earn money far quicker, perhaps more than the secret’s long term value.

runako•3h ago
200%/yr starting from $10,000 => still needs a day job for a number of years.

This is why Wall Street is able to hire talented young traders, some of whom will develop profitable systems. Over time, some of them are able to amass enough savings and the track record necessary to get investors. But at t=0, somebody has to pay the rent.

gaadd33•3h ago
If you can reliably generate 200% a year after fees/taxes/etc, you could just get a bunch of credit cards and use broker margin on top of that. It wouldn't surprise me if you could easily start with 200k at that point. Sure the first year would be rough, like grad student living but you would quickly be in the six figures.
HenryBemis•50m ago
Yes, _but_ (and that is a huge but), I remember some summers ago Erdogan was giving a speech in a village and instead of saying "we have faith in the markets" he said "we have faith in Allah" (not judging, just observing)(it was a time that Turkish Lira was doing very bad, inflation was ruining the country, Erdogan hired his son-in-law to be central banker (or something like that) and that very day Euro took a big dive because of the exposure of Turkish debt, etc etc. Trump (again, not judging, just observing) said "tariffs all around" and markets and currencies crashed a couple of months ago, then recovered, then dropped again, etc.

So, "big bets", especially wig margin, require small movements (or small bets with big movements). And getting in debt is never a good idea, because a tweet by Jerom, Kristine, Vladimir, Xi, Putin, Macron, can send you packing and with an extra $200k debt at 20% interest rate, from which th average person will never recover.

whiplash451•2h ago
A margin account would put you on fast track if you are sure about your strategy
runako•2h ago
Yes, but even with a margin account you still need money today and gains in the market take some time to accumulate from a small base.
selectodude•2h ago
If you returned 200%/yr, you'd be running a fund an multiple times more successful than Renaissance's Medallion fund and would be able to attract outside capital and become a billionaire many times over in maybe five years.
runako•1h ago
Obviously 200% is not realistic. But, entertaining the claim, even if you can do 200% annually, you still have to earn money in the near term unless you have a pot of cash so you can both invest and live.
cheald•3h ago
If you have genuine reliable alpha, leverage exists. But you'd better make damn sure your edge is as good as you think it is.
wolfman1•4h ago
Most trading signals aim to exploit a secret edge. A temporary market inefficiency. The value is in the secret itself. Once you sell the secret, the small window of opportunity is competed away almost instantly.

Trend based models are different. The "secret" isn't a secret at all. Think of a trend based trading strategy more as a disciplined methodology. Trend based models follow price and attempt to identify as early as possible when an asset flips from bearish to bullish.

Therefore, selling our model wont destroy the underlying trend, especially in highly liquid assets, such as: SPX, BTC, etc.

bcyn•4h ago
This doesn't make as much sense as you think it does. If you could predictably trade a flip from bearish to bullish (for example, of course there are other trend-based signals), you would not share that signal because others would overcrowd your trade (by buying/shorting and moving the price more quickly towards the trending direction than you).

A potential argument is that these signals are only applicable to a certain bracket of portfolio sizes (e.g. larger AUM funds would not be able to trade this strategy) -- but you are sharing this with folks presumably in your range of portfolio size.

wolfman1•4h ago
Overcrowding an entry on highly liquid assets is something that is so far from reality for our service.
henning•3h ago
The more highly liquid an asset, the more efficient it is and the fewer trading opportunities after accounting for transaction costs. In something like the S&P 500, everything is already priced in.

Meme stocks and shitcoins being manipulated by whales are not efficient and also not as liquid.

The larger point remains that none of the above considerations are discussed on this product's page.

wolfman1•1h ago
I'm realizing there's a lot of confusion about what trend based models actually are. I was under the assumption the concept was more widely understood, but I'm realizing we need to explain it better.

To be clear, there's nothing new or innovative about a trend based model. It's one of the most commonly used investment strategies by intuitions, etc. It's been widely utilized for far longer than I've been alive.

mempko•4h ago
The market goes up exponentially over time. It's a mathematical certainty. The reason giving away trading signals is even possible is because the market isn't efficient. But not only that, there are forces behind prices beyond just speculation where signals can be correct over the long term. Also it takes a while to understand if particular signals are good outside of backtesting so there is no definitive 'these signals are perfect and everyone will use them'

In other words, markets have varying scales of information and are certaintly not efficient despite what academia has you believe. Trend following works precisely because there can be underlying reasons for the trend, and traders piling on just reinforces that trend. Where profitability of the signal depends finding robust trend changes as early as possible.

dzink•5h ago
The market is a battlefield of adversaries. For someone to cash out on a signal profitably, the others have to get less. A signal system is then easily abused by the signal maker who takes a position before hustling a bunch of people to take it. Or it is abused by a hedge fund or market maker who does the same and raises spreads on you when you are trying to make trades, etc.
wolfman1•4h ago
That's a fair concern.

Because TrendFi is a trend based model, the signals are not for HFT or day trading. Instead, we identify major market shifts that play out over weeks or months. This long timeframe means the signals are less vulnerable to the immediate front running or spread manipulation that plagues short-term signals.

Also, the AI's ability to self optimize after trades means the underlying parameters are not static. If external players were to try and consistently game the signals, the system is designed to adapt to those new dynamics.

waynenilsen•4h ago
perhaps team up with https://www.getquantbase.com/ that is how i invest in https://www.quiverquant.com/strategies/s/Congress%20Buys/ its a decent platform designed for rebalancing / taxes etc
downrightmike•3h ago
Serious question: What good are reported trades delayed by months?
waynenilsen•2h ago
The S&P 500 historically returns about 10% annually with a Sharpe ratio around 0.5-0.6. This fund's metrics show it outperforming on both absolute and risk-adjusted bases. The 36.35% CAGR is excellent.

Now, imagine if you could trade on the information when they do.

malshe•50m ago
I checked this fund's performance going to the first link you shared. In the last about 3 years it underperformed S&P 500 by 2.5%
bko•4h ago
I'm very skeptical of systems that claim to help with trading signals. Primarily because if you had a system, then you would use it yourself. Trading is pretty much a zero sum game especially when it comes to signals. If you had a profitable signal and you publicized it, it would disappear almost immediately.

If your performance is correct and you're getting 200% per year, why sell the sauce for $20 a month?

I would just post the historical and open trades. Charge a subscription if you want to get exactly when you're selling them, otherwise release them on a few week lag to incentivize subscription. But give the rest away for free as you want others to pile in to your trade.

wolfman1•4h ago
This is typically true for day trading signal services. I'm very skeptical of them too. I've tried many of them and none worked for me. There are a lot of scams.

The best model I tried was from The Technical Traders. They offer a trend based model for SPX/QQQ and they consistently outperform buy and hold for 10+ years now.

We were inspired by their service and wanted to take a modern spin on trend based models with a more affordable price point (they charge $2500yr).

Trend changes don't happen all that frequently. Therefore, they wont disappear immediately either. Timing trend changes correctly can make a huge difference.

ImPostingOnHN•4h ago
> The best model I tried was from The Technical Traders. They offer a trend based model for SPX/QQQ and they consistently outperform buy and hold for 10+ years now.

- Has that been independently verified?

- Have they only been trading for 10 years?

- How do we make sure this isn't a case of chance + survivorship bias?

wolfman1•4h ago
Not sure, but I personally used their service for 2y and they're the real deal. Looks like they've been around since 2008. So almost 20y now. The main guy that runs it (Chris V) is top notch. I'm not affiliate with them in anyway but I would highly recommend their service to anyone.
ImPostingOnHN•3h ago
- From where, then, did you get the info that "they consistently outperform buy and hold for 10+ years now"?

- What does "they're the real deal" mean?

- Two years is not enough to test a strategy like this. 20 years would be better better, but it sounds like they already did that and the strategy fails half the time (hence the 10-year claim)? Does it fail randomly, or did they market a strategy that worked for the first 10 years, then didn't, and now have a new strategy with the same claims?

I'm asking these questions because people usually work hard for their money, and when someone makes (or relays) a claim that they can consistently multiply it better than expected, skepticism and scrutiny is imperative.

wolfman1•2h ago
They're the real deal means they're not a scam.

I don't know everything about their business. I recommend just looking at their website. They've been in business for nearly 20y and have consistently outperformed buy & hold.

ImPostingOnHN•1h ago
> they're not a scam.

Nobody explicitly said it was a scam, just that the claims are questionable and unverified. There's certainly no shortage of people on the internet who claim to have a get-rich-quicker-than-average scheme with claims exactly along these lines. Obviously those claims should be verified.

> I recommend just looking at their website.

A random website can't be trusted as an unbiased source about itself. I did check their website, but couldn't find anything there regarding your claims that was independently verified.

> [Chris has] consistently outperformed buy & hold [for 10+ years].

This is literally one of the most common hook/marketing lines from investment advice "businesses"/scammers.

---> Where did you learn this? <---

---> How do you know it is true? <---

^--- These questions should be answered if one wishes to avoid scams, just as a general life rule.

> They've been in business for nearly 20y

If Chris has been in business for 20 years, and Chris' strategy has worked for 10 of those years, that means Chris' strategy works 50% the time.

Thus, even if the claims of beating the market for 10 out of 20 years were true, that could be easily explained by random chance.

wolfman1•48m ago
There must have been a misunderstanding.

They've been around since 2008 and appear to have beaten SPX yearly since then.

I'm sure he has thousands of people that will vouch for him. Ask around on Reddit, etc. if you're curious.

fasthands9•59m ago
Even then you have to be careful.

It would be trivially easy to build an algo that beats the market 90% of years but 10% has huge losses. Just construct a slightly levered portfolio, with some protection against minor losses, but totally exposed to big losses.

If you sold that, it would appear like its working for awhile and you'd probably have lots of trusted customers by the time it fails.

(I'm a bit cynical, I worked in finance briefly, and I realized the fund we were selling to investors was essentially this)

mdorazio•3h ago
Looking at the Performance page, this doesn’t seem that impressive to me. The profits are primarily driven by going long on coins during a crypto boom, plus some favorable Rivian and Nvidia trades.

If you exclude all the crypto related stuff (a lot of people here don’t want to touch that) the 2024 average individual trade return was a bit over 7%, strongly boosted by 3 outlier trades. Hard to calculate the fund performance for that subset though. Meanwhile if you bought and held MAGS over the same time period you would have gotten about a 1.67x return with long term cap gains tax benefit - probably a better total play than this model even with the crypto trades (especially if accounting for crypto trade fees).

Also there is no indication of YTD 2025 performance, which would be more indicative of model strength due to the March-April dip and slowdown in crypto + AI bull markets. I’ve been burned before by services like this and am not in a hurry to do so again.

4b11b4•2h ago
What major trends are being identified and how?

Does this use standard indicators that already exist?

helsinki•1h ago
If you’re making real money trading, you’re not telling people about it.
wolfman1•1h ago
What about Hedge funds?
HenryBemis•1h ago
They want _your_ money as well as their profits, because they will charge you some nice fees irrespective if 'this year' was profitable or not.
wolfman1•1h ago
The fees are no joke
dataviz1000•1h ago
I set out on a journey to learn quantitative trading based on signals. The first thing I did was study linear algebra, calculus, statistics, probability, and deep learning. Four months in, I’m on chapter 11 of a deep-learning time-series forecasting book, working through the problems when the author mentions that, to date (it has changed since), there hasn’t been a published paper proving deep learning works better than traditional statistical analysis—i.e., everything in scikit-learn. That sucked.

So I moved on to the next step. There’s an industry that generates hundreds of millions of dollars in ad revenue from blogs and videos on how to trade. For several months, I tested each of these strategies using a backtesting library, vectorbt. People had blogs and videos about using XGBoost and LSTM with other deep-learning libraries—every single one failed.

There’s so much BS in the industry, and I got sucked into the rabbit hole. At least I’m honest enough not to take advantage of other people. Maybe I’ll start a YouTube channel where I backtest every strategy to show everyone that they all fail—and explain why.

wolfman1•1h ago
Anything that is related to HFT or day trading is almost impossible in my experience as well. The big funds can do it but I dont think retail has a chance with these approaches.

Have you researched trend or stage analysis? They're slower strategies and dont offer the get rich quick hype, but they do have far better success when done well.

wolfman1•1h ago
Btw I think your YT channel would be a good idea.
sheepscreek•43m ago
Yeah, I think all arbitrage setups of any kind are already being exploited by those with a hard to replicate edge (nano second execution/latency, very very deep pockets - typically your large market makers like Citadel). Just think about it: Jim Simons (RIP) had been doing it for longer than most of us have been alive.

Pretty soon AI won’t be optional, it’ll be the only way to run a profitable quant shop.

wolfman1•11m ago
Agreed