LOT
Lotus Technology Inc.
stock NASDAQ ADR

OFFICIAL ANNOUNCEMENT

GUYS A LOT OF PEOPLE HAVE BEEN ASKING IF I AM OKAY AFTER THE ATTACKS ON IRAN. PLEASE DONT TRUST UNAUTHORIZED SOURCES SUCH AS u/stupidber.

I AM ALIVE AND WELL. I WAS ABLE TO ESCAPE WITH THE HELP OF THE CARTEL. I WILL POST PROOF OF LIFE OF ME AND REMY VERY SOON

TAKE CARE AND GOD BLESS AMERICA

MY BODY IS A TEMPLE. THE KIND THAT GETS A LOT OF TOURISTS AND VISITORS EVERY DAY

TODAYS TRADE DEAL- 10oz 999 FOR THIS 90% LOT

You're saying everyone who purchases from Littleton is making a big mistake. You should more accurately say anyone buying full retail from Littleton is making a big mistake.
Their return and cancellation processes are very easy and there are great opportunities with their deals to save a LOT of money.
There's no trap for anyone following very simple rules - return any unneeded coins with cancellation and it's done.

[WTS] German LOT, Geiger, Reichsmark

Idk, real estate seems a LOT more risky to me than crypto. Especially "in war" 

He spent A LOT of time on the phone. They wanted him to come into a physical office and prove he was an adult. He found it easier to open an account elsewhere. Also, people can downvote my comment relating this all they want, it doesn't undo what happened.

You're leaning mostly boglehead in your investment approach. It works, but it's boring. Nobody makes movies or rap videos about DCA investors. Also, new investors RARELY start with DCA, in fact they start by thinking they are the wolf of wall street. Example - a LOT of reddit around April 2025. Hence, a lot of new investors get burned by the market or their stupidity and then don't want to touch equities.

You are correct. Senior military leaders know that this attack is unwise. This will not be a short-lived bombing attack. Why? Iran has a LOT of ballistic misslies stationed all over their country. Patriot missiles are extremely expensive and their lengthy production process creates a supply choke point. Cruise missiles that fly in our atmosphere are much easier to shoot down than ballistic missiles that fly into space and then reenter the atmosphere. Even the massive US stockpile of arms for defending against thousands of ballistic missiles, which Iran has, will run out. That wasn’t an issue in the 12 day war due to it not being an existential threat to Iran. The scariest part is that military minds are not seeing an off-ramp. The US and Israel have committed to regime change in Iran; it will take a lengthy time for that to happen and will incur massive costs to all parties.

Brother, if you find yourself undecided, what I teuly recommend is to backtest A LOT. test all market conditions, see the right hour to entry and which pair performs best and when

https://preview.redd.it/41ann3wwu6mg1.jpeg?width=1170&format=pjpg&auto=webp&s=2d1243ca0c44adc91962dd46a7c5a9e624c5b2f1
THAT PUMP STARTING TO MAKE A LOT OF SENSE

Trading is cruel. It's never easy. It takes A LOT of hard work and discipline. You can make it, but be humble. Find one strategy that works for you and stick with it. You can do it. Start small. 1 share at a time.

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So Altman is fine with roving ai death squads & horrifically in-depth mass surveillance of Americans? the DoD NEEDED to do this deal as fast as possible, because they have a LOT of lists to make & the midterms are coming, a soldier might not want to ‘you know’ a potential voter on polling day, but a fully autonomous drone squad? Shit, they have no qualms about morality. Calls on any company that sells EM weapons, anti-drone tech & personal defence equipment

some people learn whatever lesson you hopefully learned a LOT later in life

I’ve bought several of them from APMEX at spot over the last two years - glad to have some small gold instead of just ounces
Keep in mind that saving for a whole year while the price is rising your ounce could cost a LOT more too. If it took you all of 2025 to save for an ounce it went up $2000 - so saving for a whole ounce isn’t ALWAYS the best way.

I see A LOT of quantitative analysis, but little to no qualitative analysis on the actual business. You didn't mention what this company actually *does*

YEAH I AM BACK

A LOT OF YOU HAVE BEEN ASKING WHERE I’VE BEEN.

TRUTH IS, I DISAPPEARED INTO THE JUNGLE TO HUNT THE COLOMBIAN CARTEL. MONTHS OF SILENCE. WATCHING. LEARNING. EARNING THEIR TRUST. EVENTUALLY, THEY BROUGHT ME IN.

BY THE TIME I RESURFACED, I WASN’T CHASING THEM ANYMORE — I WAS RUNNING THEIR EAST COAST OPERATIONS.

THEY CALL ME EL GRINGO

Oh I'm very much looking forward to the coming quarter just to see how much of the new potential revenue sources can be revived, and built on, just quite sour about that presumably sizeable deal we were briefed on, and even had a suggestive end of year PR about under Sumit over a year ago, then were reminded about it a couple times, then... crickets.
I bought a LOT of shares based on that trajectory, and nothing came of it at all.

Please forgive the noob question...

I've been a long time lurker in this sub while building my own models / features / ML pipeline / PPO / execution engine in python. Maybe i'm doing something different than a majority here, but i'm not really understanding the whole backtesting thing you guys are all talking about and showing here daily.
I train symbol specific models and have my model pipeline learn from X months of previous data (anywhere between 12-60 months - set in my yamls). Before everyone takes a tangent about overfitting, I took a LOT of time to code: strict chronological splits (no random shuffles), full walk-forward validation, OOF predictions only for meta training, zero look-ahead features (everything computed from completed bars only), feature engineering frozen prior to OOS evaluation, thresholds tuned only on validation (never on test), and final performance reported on unseen forward data. Not every symbol I test has edge, but that's to be expected. Once I have a tuned symbol model, I run it on live (paper) trading. Is this equivalent to what everyone here is calling backtesting?

When people talk about backtesting here, does that really mean they are coming up with a hypothesis of "if I try using XYZ features, at this TP/SL ratio, what happens over time"? Can I equate what I'm doing with Machine Learning to this?

I don't want to cloud this conversation talking about results, I'm merely trying to learn about what I may be doing wrong or missing. To me, backtesting doesn't really apply to my pipeline, can someone help me intellectually bridge this gap in my understanding?