R
Ryder System, Inc.
stock NYSE

P O W E R H O U R

We went from it’s so over to we are so back in a span of 10 minutes. BER R FUK.

Also almost all of the it companies were buying back thier shares and giving huge dividends. Instead of expanding and using that money on R&D. But kon kareg research India ke investors toh sab motu pet wale hai har hafte paise aye return chahiye with no risk. 

Setup isn’t terrible, but it looks like you’re shorting after a decent move already happened and into a lower support/demand area. That makes the R:R weaker. A good setup with bad R:R can still be a bad trade. I’d keep the 1:2 rule unless you have something else proving a lower R:R works for this exact setup

Abend,
vor zwei Monaten hatte ich mein Scoring gepostet, drei getrennte Scores pro Kreis (Rendite, Risiko, Qualität) statt einer Gesamtnote, und dafür ordentlich Kritik kassiert. Der meistgevotete Kommentar war sinngemäß "**was bringt mir Rendite in einer überalterten Kleinstadt, die gerade zum Dorf schrumpft**". Der Einwand war **berechtigt**, genau solche Fälle hatte mein Risiko Score kaum abgestraft.
Daran hab ich seitdem gearbeitet. Risiko und Qualität beziehen jetzt Bevölkerungsprognose, Wanderung, Beschäftigung und Leerstand viel stärker ein. Den Effekt sieht man gut am Saale-Holzland-Kreis: bei der reinen Rendite liegt der mit 96 von 100 ganz vorne, fliegt jetzt aber raus, weil ihm bis 2040 rund 16 % der Bevölkerung wegbreche und das sieht man jetzt der Qualität von gerade mal 8 von 100.
Außerdem habe ich die UI stark überarbeitet. Oben steht eine kleine **Zusammenfassung** mit **qualitativen Informationen**, darunter könnt ihr zu den **Inseraten** gelangen und im Standort eurer Wahl nach Objekten suchen und dabei verschiedenste Filter anwenden, so habe ich schnell selbst paar Objekte gefunden, die ich gerne besichtigen möchte. In den Rendite, Sicherheit/Risiko und Standortqualität Sektionen ist jetzt nachvollziehbar **welche Komponenten den jeweiligen Score am stärksten beeinflußen**, **welche Indikatoren** (z.B. Leerstand, Bevölkerungsdynamik usw.) **besonders auffällig sind**, welche Werte diese haben und wie diese **im Vergleich zu allen anderen Kreisen** ausfallen**.**

Für diesen Post hab ich dann nur **die Kreise behalten, die bei allen drei gleichzeitig überdurchschnittlich sind und gleichzeitig unter dem bundesweiten Durchschnittspreis liegen.** Übrig bleiben 7, und keine einzige Großstadt ist dabei. München, Hamburg, Köln scheitern meistens schon am Preis. Überrascht hat mich eher, dass sich der Rest geografisch ballt: **4 der 7 liegen in** **Niedersachsen**.
Der sauberste Fall ist der Landkreis **Emsland**. 4,4 % Bruttomietrendite, Einstieg bei rund 2.130 €/m². Die Miete ist in 5 Jahren um 5,7 % gestiegen, die Nachfrage ist also real. Sicherheit und Qualität liegen beide bei 89 von 100, ein Niveau, das man sonst eher von teuren Großstadtkreisen kennt. Wirtschaftlich steht der Kreis auf mehreren Beinen (Meyer Werft, Erdgas, Maschinenbau-Mittelstand), hängt also nicht wie Wolfsburg an einem einzigen Konzern. Günstig ist er nicht, weil dort niemand wohnen will, sondern weil er im Metropol-Hype schlicht nicht vorkommt.
Und es ist kein Einzelfall im selben Korridor liegen weitere Kandidaten: **Rotenburg (Wümme)** mit dem stärksten Renditepotenzial unter den Geheimtipps (**P** 80), **Diepholz** (**P** 75) sowie **Grafschaft Bentheim** am niedersächsischen Rand. **Cloppenburg** bleibt Sicherheitsanker (**R** 93), qualifiziert aber mit **P** 39 nicht als Hidden Gem. Hohe Sicherheit allein reicht nicht, wenn das Renditepotenzial unter der Schwelle bleibt.
Damit das nicht wieder eine Blackbox wird: Im Immopal Terminal lässt sich jeder Score bis auf den einzelnen Indikator aufklappen. Hinter der 89 bei der Qualität steht zum Beispiel ein Leerstand von 2,7 %, also besser als 92 % aller Kreise.
Wichtig, damit das keiner falsch versteht: Auf große Preissprünge würde ich hier nicht wetten, beim Emsland sind die Kaufpreise zuletzt eher seitwärts gelaufen. Die Rechnung geht über die Cashflow nicht über die Wertsteigerung. 
Was ich ausdrücklich nicht behaupte: Das sind **Landkreise**, keine einzelnen Objekte, da liegen gute und schlechte Lagen dicht beieinander. **Und das Klumpenrisiko wie in Wolfsburg mit VW bekomme ich noch nicht sauber ins Modell, die bekannten Fälle (Wolfsburg, Salzgitter, Ingolstadt usw.) haben bisher nur ein Warnschild.**
Die ausführliche Fallstudie hab ich hier aufgeschrieben: [immopal.ai/forschung/rendite-risiko-qualitaet-prq-2025](http://immopal.ai/forschung/rendite-risiko-qualitaet-prq-2025)
Zwei Sachen würden mich interessieren.
1) Passt das Ganze für euren eigenen Kreis zu eurem Eindruck vor Ort, oder liegt mein Scoring daneben?
2) Findet ihr Standorte oder Inserate die ihr interessant findet?
**TL;DR**: Ich bewerte \~400 Landkreise, getrennt nach drei Dimensionen: Rendite, Risiko und Standortqualität. Letztes Mal war das Risiko nicht ausreichend modelliert, jetzt schon.. Sucht man jetzt Kreise, die gleichzeitig eine gute Mietrendite, ein niedriges Risiko und eine gesunde Struktur haben (und günstiger als der Bundesschnitt sind), bleiben nur 7 übrig, keine einzige Großstadt, 4 davon in Niedersachsen. Der klarste Fall ist das Emsland: 4,4 % Mietrendite, \~2.130 €/m².
Zum deutschlandweiten Ranking: [https://immopal.ai/standorte](https://immopal.ai/standorte)

A 60.3% win rate on its own tells you nothing — it's meaningless without your average R:R (60% wins at 0.5:1 loses money; 60% at 1.5:1 prints). And a 6-year backtest on optimized Fib levels is a classic overfit trap. The real questions: what's your expectancy *net of spread + commission*, and does it hold on out-of-sample / walk-forward data you didn't tune on? In-sample win rate isn't an edge — it's a curve fit until proven otherwise.

As true as that may be, a superpod costs like $20m. Eli Lilly spends $14b a year on R&D.

The reason the YouTube examples look clean and your live trades don't is that those videos are hindsight. They show you the sweep after it already worked, marked up on a chart where you can see the reaction. In real time, most pokes through a level are just pokes, not sweeps, and there's no way to know which is which until the reaction happens. So the fix is to stop trying to catch the sweep and start reacting to it. Price runs the level, and then you wait, does it reclaim and reject hard, or does it just keep going? The sweep only means something if the reclaim confirms it.
On finding the important S/R, the levels that actually matter are the obvious ones everyone can see, not the clever hidden ones. Prior day high and low, the overnight session range, the previous day's close, round numbers. They matter precisely because everyone sees them, which is where stops and resting orders pile up, which is what creates the liquidity to sweep in the first place. If you find yourself drawing an obscure level nobody else would notice, it probably has no orders sitting at it, so nothing happens there.

if you are looking for a gamble right now, you could buy some OTM $PCT options. I have a lot of those right now and I am hoping it goes back into the 11-12 area within a few months.
for me it is a total gamble though, I have no actual information or research on it. I just like the way the chart looks haha
also, after reading your comment about NOK, you inspired me to buy a lot of options on it too just for the hell of it. I took all my RKLB profits and bought OTM next January calls. we will see how it goes. its all funny munny anyways. none of it is R E A L

Read the post chewing on pan masala, full R&D supported

R&D ? I think there is a law against it in Indian IT law book.

Defense contracts aren't rare at all in quantum. Who do you think funds most of the R&D?

Numbers are misleading
India's R&D figure ($15-18B) is stale and low. By 2024, India ranked 7th globally in R&D spending at an estimated $75.7 billion, not $15-18B. The $15-18B range corresponds to figures from several years prior.
China's R&D number ($500B+) is also mismatched. China's 2024 R&D expenditure was approximately $785.9 billion, so the post undershot China while overstating the gap with India by using mismatched time periods.
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The "freebies" figure for India is fabricated or conflated
India's actual central government subsidy spending (food + fertiliser + fuel) is roughly $40-50B per year, not $110B. Subsidies accounted for about 8% of total annual spending of $557 billion, which comes to roughly $44B. The $110B figure appears to lump in state-level spending, pension outlays, and welfare programmes to inflate the number.
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China's "freebies" figure looks low
The post claims China spends only $22B on freebies. A CSIS analysis found China directs at least $248-407 billion in subsidies, below-market loans, land deals, and tax breaks to favoured companies alone, not counting social welfare. The $22B number is almost certainly wrong by an order of magnitude.
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The framing buries a structural difference
India's subsidies are primarily directed at food security for 800 million people near or below the poverty line. China's subsidies are primarily industrial, directed at companies in strategic sectors. Calling one "vote bank" and the other "innovation" is a rhetorical move, not an economic analysis.
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The conclusion doesn't follow even from the post's own numbers
A country that spends more on keeping poor people fed is not necessarily spending less on innovation. The post treats R&D and welfare as a zero-sum trade-off, which is not how national budgets work.

No, this is investors rewarding FB for bowing out of the frontier AI model race everyone already knew they were going to lose and signals they won't be wasting more money on R&D for a failing product.

Most of the costs/loses related to AI are for R&D and hardware.
As the technology matures over time, those costs will drop over time. For example, hardware can only get better for so long and when each new hardware improvement becomes more and more incremental, then the lifespan that each piece of hardware can be used extends longer before it needs to be replaced or upgraded

1:2 as R:R is okay. So $50 - $70 loss is 0.5 to 0.7% drawdown according to ur plan which is way less than what most prop allow, around 4% and in this game u set ur own rules. Eliminating the big losses will take u far but still give urself time to grow and congrate urself for how far u've come then slowly improve. Goodluck

Sup guys, here's the result of my June's Trades
SStarting Balance $2000
Ending balance $11800
Net profit $9800
Target was $10k
could have taken one more trade but i decided to take a back seat and enjoy the last week of the month with my fam and friends
I have tried both, more trades in a month and less trades in a month and i get almost the same result with both.
Most of the trades i took in June have been posted here on my reddit profile if anyone's interested in looking at them, not posting them here again.
Using price action trading strategy where to me it's like If price hits Resistance "A" then > it should go to Support "B"
This is the bread and butter of my strategy, finding key areas of S/R and taking trades off of them.
Who else had a good Month in June ? Share your stats below and let's discuss !!

That feeling I got when I heard Toys R Us was shutting down? Yeah, I just got that feeling again.

Ye 15 billion R&D me utlize bhi nahi hote honge sadly.

Day 3, Week 9. Green. It is not a challenge, doing normal trades as all of you 🙂 Probably done for the week. Taking a break for thursday and friday even if I will have an opportunity to look at the chart.
300 is risky psychological numbers, just human nature. It could reject and dump or break it and get rejected. Today, it tried a couple of time and then broke it. I could have stayed in a few more minutes and make easy $2k 🫩 but I keep to my plan $10-15 and out. Market is there tomorrow, long after your are gone.
As I write this at 10.15 ET, I am done for today.
I got in at 9.58 and 2 min later, I was already out. I don't last long and it feels good. Nothing to prove to anyone who tell you to last longer 😬 Took my $12 profit per contract. I did increase the contracts to 30 today.
People who leaving their current for other companies or other reason or retiring in IT or corporate related jobs are no longer being replaced in most companies. They are cutting cost silently, forcing remaining people to absorb the work, a way to reduce cost. How are you going to ask for payrise or bonus by working more for free for a year? They will just tell you: tough time, you are lucky to have a job, we'll see next time, keep going extra mile 🫪
I never use R ratio in any of my calculations, it works for some people, but this maths does not work for small accounts and also for day trading options or futures if you want to be profitable consistenly from what I see.
No fancy options strategy like iron condor, selling etc. Using simple EMAs, VWAP etc to see the trends and levels.
One and done: 25 contracts = $360 total profit.
Total options cost = $2,340
15 % profit
Time in Trade : 2 min. A morning glory trade, lasting long is over rated 🤤
Life is short. You do not need many trading days to grow an account. It is the same if you do options or futures, start small. If you shit in your pants after the first trade and lose in second trade on same day, stop being silly and only do one trade or take a break of 15min before trying second trade.
If I start doing 2 trades a day, I can grow my account much faster, however for this plan, I need to stick to it. When I will grow again a small account next time on options or futures, I will target to a shorter amount of time, maybe 3 months.
Start small, money you can afford to lose, then grow your account.
It is not a shame to trade with 1 contract. Shame or pride does not give you profits.
If you are learning by yourself, give it 2-3 months to see how you are progressing.
If you believe I am lucky every day with the trades and posts 🤷🏻‍♂️ so be it. I believe I have no choice, to put in the effort and keep doing, any loss is my loss as it is me executing my own trades and money.
Started with $300, just 3 contracts, 9 weeks ago, and growing it to $60,000 with 1 trade a day in 6 months target. If you were also trading, even $10 per contract per day, you will have progressed a lot.
My trading plan and strategy is trading one trade a day, 2-5 times a week depending on availability.
I only day trade options on ETFs like SPY, QQQ, IWM etc. Timestamp on the broker is UK time. So, entry time of 2.58 is 9.58 ET.
I trade on my samsung s10e and screenshot is from TastyTrade.