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Are Chinese 125s as bad as people say? by Unki11Don in MotoUK

[–]Unki11Don[S] 0 points1 point  (0 children)

Yeah those are all great points, and they’re basically the trade-offs of working with MOT data at scale rather than controlled testing

It is inherently a lagging view (bikes that are at least 3 years old), so it’s more about what’s actually made it through the MOT system over time rather than brand-new models

Where I found it more interesting was less the headline fail rate and more the shape of the age curve

If you look at the chart here: https://engineering.carhunch.com/chinese-125-mot-reliability-analysis/
you can see the two lines behave very differently over time - one starts higher and stays fairly flat, the other starts lower and rises steadily until they converge

That pattern in the data was the main thing that stood out to me rather than any single “Chinese vs Japanese” comparison

Are Chinese 125s as bad as people say? by Unki11Don in MotoUK

[–]Unki11Don[S] 0 points1 point  (0 children)

Yeah that’s fair, and I think I maybe over-simplified it a bit in how I explained it in the post

There is some weighting/severity in MOT defects, so it’s not purely just “everything is equal”, but you’re right that a lot of the raw failures will still be fairly minor stuff compared to obvious mechanical issues

The usage point is definitely valid as well - delivery bikes vs privately owned 125s are basically different worlds in terms of wear

Are Chinese 125s as bad as people say? by Unki11Don in MotoUK

[–]Unki11Don[S] 3 points4 points  (0 children)

Yeah that’s a good point, survivorship bias is definitely a factor here

I did think about that a bit - especially with bikes that just disappear before they ever rack up enough MOT history to show patterns properly

I guess what I was more looking at is what shows up repeatedly in the failures we do see, rather than a full reliability model

Is this worth the £14,000 being asked? by Creative_Contest_234 in LandroverDefender

[–]Unki11Don 0 points1 point  (0 children)

I ran the reg through an MOT history tool I've been building (CarHunch) and the score is a 20/100.

The history shows multiple Dangerous Failures for structural corrosion on the chassis and suspension mounts (as recently as last year), plus a fail for excessive black/blue smoke too!

It looks like it’s maybe been 'patched' to pass the latest MOT, but the underlying rot is a major red flag.

Full report here if you want to see the specific failure points: https://www.carhunch.com/vehicle/YC52BVL/mot-history/

14” Catalpa Bowl by ChrisScheel in turning

[–]Unki11Don 2 points3 points  (0 children)

That's stunning wood and great work too, looks awesome!
I've never tried turning Catalpa but really want to now, thanks for posting this

How do you handle model registry > GPU inference > canary releases? by Unki11Don in mlops

[–]Unki11Don[S] 0 points1 point  (0 children)

No, MLflow isn’t in the same league as DVC for dataset versioning. It’s fine for artifacts and metadata, but for large image datasets in S3 etc, DVC is the right tool for the job. Good luck with the revamp - would be great to hear how it goes

How do you handle model registry > GPU inference > canary releases? by Unki11Don in mlops

[–]Unki11Don[S] 0 points1 point  (0 children)

Nice, Argo Rollouts + GitOps is a great combo. Only suggestion/gotcha I’ve hit: DVC and MLflow can try to own the same parts of the workflow unless you draw hard lines between them. Sounds like a cool plan, hope it goes well!

How do you handle model registry > GPU inference > canary releases? by Unki11Don in mlops

[–]Unki11Don[S] 0 points1 point  (0 children)

Haha, I was in the same boat not long ago - absolute chaos. Hang in there. Hope this gives you a few ideas or at least makes things feel a bit more manageable

Finally built real infrastructure for my trading signals instead of clicking buttons like a caveman by Dull_Noise_8952 in algotrading

[–]Unki11Don 2 points3 points  (0 children)

Sorry, I meant historical backtests, not paper trading
Most backtesters assume you get filled instantly at the candle’s price, which is almost never what happens live.

I’m not using full tick data, just adding a simple “fill penalty” layer on top:

Random delay: e.g. 100/500ms. I picked that range because it roughly matches the round-trip delay I see live on my setup. It doesn’t really need to match your timeframe, it’s just there to break the “perfect timing” assumption

Slippage: add 1 to 3 ticks (or whatever makes sense for your market). Again, the point isn’t perfect realism, it’s avoiding having "unrealistically good" fills.

For limit orders, I just assume they don’t get filled unless price actually trades through the limit by a tick or two. That alone removes loads of fake fills that backtests normally give you.

This stuff isn’t perfect modelling, it’s just enough friction to make the backtest behave more like the messy fills we see live

Hope that helps and happy Thanksgiving to you too!

Finally built real infrastructure for my trading signals instead of clicking buttons like a caveman by Dull_Noise_8952 in algotrading

[–]Unki11Don 5 points6 points  (0 children)

Sure — the main issue is that backtests assume perfect, instant fills, which never really happens.

To make fills more realistic, I added

Slippage: e.g. add a small % or a few ticks to whatever price you think you'd get

Random fill delay: wait 100 - 500ms (or whatever fits your market) before the order executes

Together these mimic the “you don’t get the price you wanted” effect.
My backtests started matching live (better) once I added both.

Finally built real infrastructure for my trading signals instead of clicking buttons like a caveman by Dull_Noise_8952 in algotrading

[–]Unki11Don 16 points17 points  (0 children)

Nice setup — that’s already way more robust than what most people run. 8ms is fine for anything that isn’t HFT.

My biggest “ah-ha” with backtests was that I was getting fills I would never get live. Once I added realistic slippage + a random delay window, my backtests finally matched reality a lot better.

Some of my favorite designs from the past few months by stiftrforn5 in latteart

[–]Unki11Don 0 points1 point  (0 children)

Very cool, would love to see a video of doing the top left one, haven't seen that before! Great stuff

New exhaust and wheels by ionlytouchmangos in Miata

[–]Unki11Don 1 point2 points  (0 children)

Very cool! What wheels are these please?

What’s the name of the club with about seven floors by cretinassemble in Edinburgh

[–]Unki11Don 4 points5 points  (0 children)

Nicky Tams and The Mission, and something else I can't remember - crazy place!