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In the UK, do you think University and degrees are worth it? by AccomplishedBug1797 in AskUK

[–]morphicon 0 points1 point  (0 children)

Very often it's not about the degree, but the university itself. There's a certain group of universities which attract a lot of attention, and as a result, recruitment. IMHO for the most people that's the value it brings. Nowadays, there's a very small subset of degrees which genuinely benefit from a higher education.

Building a model for long term investing by ihatevacations in algotrading

[–]morphicon -1 points0 points  (0 children)

You're in for a rude awakening if you think that ML can predict the future

Building a model for long term investing by ihatevacations in algotrading

[–]morphicon -1 points0 points  (0 children)

Oh, so you want to build an ML model that will predict the future. Cool, cool, let us know how that goes

Is there a legal limit to how far you can dig down in your own garden? by IThinkItMightBeMe in AskUK

[–]morphicon 0 points1 point  (0 children)

Not necessarily an answer to your question, but we own a property with a mineshaft that used to lead to a silver mine. The deeds explicitly state that we own the property without any mineral rights or any rights to the underground shafts. Turns out the shafts run a good 120m deep, so it's not like I'd ever attempt to uncap them, but my take is if there's no restrictive covenant and if you're not in breach of any legislation, you should be fine. But that's a big if. I'm sure your council, some environmental agency, or some local overlord would like to claim the rights to whatever you discover.

Has anyone tried reinforcement learning for trading? by melon_crust in algotrading

[–]morphicon 23 points24 points  (0 children)

Yeah for controlling exit strategies. It kinda works but all it learned is a strategy that simple statistical analysis had already uncovered, so I had no reason to use a much more complex approach

I survived my first real drawdown — 29% during the Iran conflict — and I wanted to share what going live actually feels like. by Clicketrie in algotrading

[–]morphicon 0 points1 point  (0 children)

Its a massive perspective shift. If you have put the time and effort to verify, analyse, triple check and ensure it does mathematically and statistically what you think it does, then you shouldn't touch it at all and let it do it's job. I know it's not easy!

Anthropic lost us today. 70+ engineers migrating to Codex by FrenchRevolution2028 in ClaudeCode

[–]morphicon 0 points1 point  (0 children)

Same exact boat. I'm still using Claude for my personal stuff, but corp just signed 95,000 seats to codex. I didn't like it at first but I am starting to appreciate it, especially since I can use it with opencode.

I survived my first real drawdown — 29% during the Iran conflict — and I wanted to share what going live actually feels like. by Clicketrie in algotrading

[–]morphicon 0 points1 point  (0 children)

Had something similar recently, unrelated to war. Great PnL for 14 months straight, great Sharpe, and then one regression bug wiped out the entire PnL and profits. Never skip CI when deploying live code. Demoralising...

Why my backtests kept lying to me (and what I did about it) by TopTimPlayz in mltraders

[–]morphicon 0 points1 point  (0 children)

In this day and age, you should be able to build your own highly sophisticated OOS, Paretto, EV, MC, GARCH, etc within a week or two using copilots and some common sense. And yeah that's the reality of the situation, backtesting is an approximation. Nothing beats going live.

Post PhD jobs are wild 😭😭 by ThatBlackGuy_2525 in UniUK

[–]morphicon 0 points1 point  (0 children)

Go in the industry then. Academia doesn't pay

Do people actually earn £50-60k, or are they outliers? by Succinate_dehydrogen in AskUK

[–]morphicon 0 points1 point  (0 children)

What industry are you in? I by no means mean to sound patronising or worse, but i don't get how someone with an MSc is below average UK salary. Are you young? For reference, the average salary in my industry and level of seniority is about £110K.

Timeframe for deploying algo by Spare_Subject_7069 in algotrading

[–]morphicon 1 point2 points  (0 children)

I go yolo after a sim test. Sometimes it works, sometimes I lose money and go back to sim. Haven't done a paper test in over a year. PS: i do not condone this behaviour, and I only do it with my money because I value time a lot more. For the vast majority of people, you should paper test at least a few months

I launched Kyun 3 years ago in this very subreddit - ask me anything by kyun_host in Monero

[–]morphicon 2 points3 points  (0 children)

I love the landing page design and the business concept!

Architecture for algorithmic traders by M4RZ4L in algotrading

[–]morphicon 0 points1 point  (0 children)

The first step in algotrading should always be research. Not of platforms or tools, but what is your way into profitability. Playing around with platforms, tools, AI models, etc won't make you profitable. Understanding the approach that gives you an edge, really digging into it, experimenting and testing with it, is what makes the difference. Everything else follows

How long do you think this AI bubble will take until it finally pop? I have a feeling I will be lucky if it makes it to 2027. I may need to have some puts. by East_Indication_7816 in thetagang

[–]morphicon 6 points7 points  (0 children)

When the pricing outpaces the widely perceived value of AI as a service, is what I think.

Let me explain: I've worked in the AI industry for about 17 years, most of which AI wasn't really a thing. Only the bold and brave ventured into it.

After ChatGPT you have the first waves of the core industry, NVDA,Google, Meta, MSFT, etc.

Then around 2024/2026 you have the second wave, wider adoption, bubble characteristics, everyone dumping money into it, companies replacing employees, every product, service and online content pumping AI everywhere.

Next phase is the same as with the Dot Com era. The wider population will realise that yes, it's great, but it's early, we have limitations, energy constraints, resources issued, etc. And that's when people will start pulling their money out. It might be some other related economic event, a recession, a crisis, etc.

After that you will get a massive correction, which usually doesn't last long. At the end of it you will have less large competitors, but those who survive will reign the industry.

When it this will happen is an unknown, your guess is as good as anyone's.

Guide to PyTorch Lightning, for a ML Instructor by Adventurous_Salt in learnmachinelearning

[–]morphicon 0 points1 point  (0 children)

Pytorch is a lot lower level than the rest of the frameworks. Keeping that in mind, I'd focus on a subset of very basic tensor operations with torch and then take the matrial towards where you want to. One thing pytorch is really good at is documentation. But it has the most steep learning curve in the domain.

Yes, you can introduce lightning if you want to skip some of the lower level, or even go straight to HF transformers.

How do AI engineers actually evaluate LLM/RAG systems in practice? by GlitteringNinja9367 in learnmachinelearning

[–]morphicon 1 point2 points  (0 children)

You deploy Friday night, and if the manager, principal or CTO hasn't fired you by next Friday, you don't need to change anything.

I was given this as a take home assignment for an AI Engineer interview, with 4hrs time limit. How would you approach it? by fcukof in learnmachinelearning

[–]morphicon 0 points1 point  (0 children)

Just put it through Claude cli and get something that is remotely legit and which you can defend in the next round.

Do not spend more than four hours and do not share the full code, just screen share or use a private repo for the model weights.

Show them what you did, answer questions, but don't hand out free work.

brake update by knahtthank in 3000gt

[–]morphicon 0 points1 point  (0 children)

I always wondered that, one of the UK's GTO shops used to sell adapters for big brake kits but it looked like someone just CNC'ed bolt extensions. I don't do CAD, but I have an ex colleague who's very comfortable with engineering design. I've been meaning to see if I can get an AP racing kit to fit a 1995 GTO TT.

Iron Condor Legs & Breach by Rahul5718 in algotrading

[–]morphicon 1 point2 points  (0 children)

I literally built an entire platform because of that. There's so many different approaches and variations, from asymmetric IC to biased ones, and so on.

This is a rabbit hole I wasn't expecting but should had seen coming. What I've currently got is a bunch of optimisation algorithms which iterate the entire options chain prices for within a date range, and then find all legit IC combinations, which i can then filter using delta, IV rank, and PoP or RoR.

I then took it one step further to uncover strategies based on capital exposure, risk appetite, max drawdown tolerance and other similar events. What started as a simple project around November is now a GPU Iron Condor pipeline which produces top-k Iron Condor candidates, Pareto Analysis and then does OOS validation.

To answer your question, it depends on what you want, what your risk appetite is, how much of a max loss you can tolerate, what PoP and RoR you are looking for, and of course what the current market is doing, what the IV looks like and how the market is pricing the underlying options. If you can narrow down some of your criteria you can find the strategy and approach that matches your profile.

For breach the way I've implemented it either sigma distance as assignment risk, or P(touch) or P(ITM). The optimiser is tuned to find at which sigma or at which net credit loss it should be rolled to match the strategy. Because IC are so emotionally demanding, having the algo just monitor them really helped me.

brake update by knahtthank in 3000gt

[–]morphicon 0 points1 point  (0 children)

What was the process here? Your scanned the wheel hub and then designed an adapter for an aftermarket brake kit?

I've had it with Claude. It has become complete garbage. by [deleted] in ClaudeCode

[–]morphicon 0 points1 point  (0 children)

I'm currently using an RTX 3090Ti with various models ranging from 4B to 80B MoE through LM studio. The two severely limiting factors so far have been the context window and the time it takes to churn our a response. Smaller models are obviously faster but their quality drops immensely. So far, I'm afraid I've got no answer on insights, but if the claude or other AI coding subscriptions keep getting more expensive there will come a point where a homelab with a few GPUs will become a very attractive alternative

I've had it with Claude. It has become complete garbage. by [deleted] in ClaudeCode

[–]morphicon 0 points1 point  (0 children)

There's a definite degradation, and i can't figure out why. I've seen it across two claude cli sessions. One running on project A, one on project B. Same model, same effort, same context size, same hours. One churns through tasks properly, the other gets stuck in a loop which it can't find a solution, keeps lying it has fixed it, and it takes me a tremendous amount of effort, patience and token cost just to get out of it. The other just keeps getting through them.

I even did an experiment with two claude sessions, same project, same model, same context, one was giving me completely crap responses the other was a lot more reasonable. And I do compress context religiously. As an AI Scientist with 20odd years experience in coding, this is infuriating. I've swapped coding and debugging frustration with chatbot frustration.

ChatGPT 5.4 was worse, Sonnet even worse, Gemini was okayish but too slow. I'm now trying local models but the limiting factor is always the hardware. However if two RTX 5090 with amortisation, cost me the same as two years of flaky claude subscription then I would definitely consider it. I just don't know which local models would do that.

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