Profitable trading is just being patient enough to be boring.
Years in and this is what it comes down to for me. Curious where other people have landed.
Years in and this is what it comes down to for me. Curious where other people have landed.
I checked out Canborsa DEX after seeing the official release, mostly because I’d been curious how far tokenized stocks had actually come.
The signup process was frictionless in a way traditional finance still doesn’t understand. Connected the account, deposited funds, and that was it. No KYC maze, no brokerage setup, no forms eating half an hour of my life. I went from zero to holding SpaceX, Meta, and Google in under five minutes.
What caught me off guard was the leverage. Being able to trade stocks and precious metals at 2 a.m. on a Sunday, with no schedule and no gatekeeping, is a very different experience from normal markets. That’s not a gimmick. It changes the access model.
This is closer to what crypto was always supposed to do: open real markets to anyone, not just people with the right broker, the right passport, or the right timing. I’m still not ready to call it the future, but it’s a much stronger product experience than I expected.
Has anyone else actually tried tokenized stocks, or is this still early enough that most people are just talking about it?
All,
I'm a skeptic.
Somesh is legit.
I joined and find great value in what he's created. This is not a solicitation, this is not a promotion! this is my sharing of experience.
Here is my background before I get into the rest of it:
I have a well paying, executive level, professional job. Day trading is something I took on to create extra, kids college savings, pay down mortgage faster, etc. not my entire livelihood.
I was successful in options trading prior to joining. I did swing trading and understand all the technicals. Day trading 0dte is much higher risk though and requires much different discipline.
Here is the real thing about trading gurus to know first. NO ONE IS PERFECT. NO ONE SHOWS YOU 100% TRANSPARENCY. NO ONE FOLLOWS THEIR SYSTEMS WITH 100% ACCURACY.
But Somesh will admit this as much. There have been days he jumps off the trading call, dives back in and takes a loss due to self made mistakes. He might report it was 8k but it could be more like 20k. Who knows, who cares. Why? Cause everyone, EVERY TRADER, has misrepresented gains and losses. If you get caught up on this, you're not focusing in the right areas.
Somesh is the salesperson for a much bigger thing. That's what you have to understand.
What did he create that is worth the initial investment?
Kay Captials Univeristy Modules will take you soup to nuts in options trading. This is a well designed course to help you understand the market and options technicals. Can you find all of this on the internet? Sure. I could also study history on my own, but I got a degree from a university too. There is value in master classes!
KCU touches on mental aspects of trading. This is huge. Day trading is ultimately about becoming the casino. For this, you need to understand RISK and how to create your edge. That edge in 0dte is razor thin. You need to understand how that risk impacts you emotionally and how to not spiral and blow your account cause YOU WILL TAKE LOSSES. Your goal should be to absorb those and losses and stick to your controls.
But you must understand that there is HUGE risk with trading options. With HUGE risk comes HUGE reward.
Day trading is all about creating controls in what is ultimately a market YOU DO NOT CONTROL. This is exactly what KCU helps you with. But if you don't take ownership, then you'll contune to look at Somesh as a savior and you completely miss the point.
Somesh is not going to spoon feed you trades, press the buttons for you, and ensure you get rich. He and Vee actively look for trades. Everyone on the group does. You need to learn how to also. The group WILL HELP YOU in this. Being in the group WILL HELP YOU LEARN.
Ultimately you need to know your own risk and set your own goals. You need to develop your own execution technique from all the tools KCU will present. You need to manage the strategies that are taught in KCU and modify the structure to make it personal to you.
YOU HAVE TO PUT IN THE WORK!
Some other insider info:
Somesh on boards everyone personally.
He monitors if you've done the modules.
He knows if you just skipped through them.
He cares about you being successful cause your success is his success.
He will call you out if you haven't done the course material.
The course material is critical for understanding the language of the greater group.
Why a course? Cause people like to share their experience! Why do teachers teach???
Does he have an ego? F yeah he has an ego. All hustlers and successful people do. He hustles for money. This does not mean scam. Not one in the same.
Does he make good money off it. Yeah.
Is it worth it? Yeah.
Does he work is ass off? Yeah.
Is it a scam, NO.
Is there a huge risk you could lose money in trading YES.
Take ownership and understand it for what it is. Its a group and process that will build guard rails for what is a very dangerous road. You have to have the stomach for it. But with great risk can come great reward. Bet on yourself, own your results, do the work!
Is anyone else trading this breakout?
So as you can read from the Header that AI is now everybody's go to tool to get through 10-K and so every time I do this I always reverify the data and questions I asked because let's be honest AI is good but not perfect and it does hallucinates numbers pretty much once I started noticing it is quite obvious so I ask it to give me the citations and then the page number is incorrect or the paragraph is off or the AI just couldn't corelate data and don't get me started on the tables part. Drop down your frustrations and solutions
Everyone keeps repeating that Palantir doesn’t own any SRFM and it’s just a customer relationship. That’s not how it looks once you actually read into it. Palantir has a meaningful chunk of SRFM shares that came out of a services deal, so they’re on the cap table and directly exposed to whether SRFM succeeds or fails. That’s real skin in the game, not just a logo in a press release.
SRFM isn’t just bolting on some basic analytics. The whole SurfOS concept and a big chunk of their operating model is being built on Palantir’s stack – routing, fleet utilisation, broker OS, operational planning. The more the network scales, the more data they collect and the more the software can optimise pricing, capacity and routes. That’s where the growth angle kicks in: you’re not just relying on “more planes = more revenue,” you’ve got software that can squeeze more yield out of each aircraft, each route and each partner relationship.
Yes, the company is cash‑hungry. They’re paying part of their Palantir bill in stock because cash is tight and they’re still in the build‑out phase. That’s dilution, but it’s also a way to lock in a top‑tier data/AI partner they probably couldn’t fund purely with cash yet. Early stage, capital‑intensive platform plays basically always look ugly on the cash front while they’re wiring up the system.
What I’m actually betting on here isn’t “a small airline.” It’s an air mobility platform trying to own the software and data rails for a slice of regional/commuter travel, with Palantir wired into the core. If that works, growth doesn’t just come from adding planes, it comes from scaling a software‑driven network where every extra bit of volume feeds back into better optimisation and margins. The value is in the operating system and the network, not just in selling seats.
What is the average return achieved by retail investors over the last 10 years? I have achieved an 18% return, but intuitively that doesn't feel like very much to me. At the same time, I understand that, historically speaking, this is actually a significant return. Am I alone in feeling this way?
Let me know the advantages and disadvantages
Scope??
Suggestions??
Beginner mistakes?
I am 48 years old and have spent the last 17 years navigating the ups and downs of the financial markets. I have experienced both spectacular successes and devastating setbacks even being forced to start over from scratch. Ultimately, my success stems not from "all or nothing" trades aimed at overnight riches, but from a robust, repeatable trading system that prioritizes risk management.
The results have exceeded my expectations so far, with my investment portfolio more than doubling in size. Of course, the journey has inevitably included days of losses and losing positions.
The key is that I strictly adhere to a set plan for every trade: defining risk before entering, cutting losses decisively when things go wrong, and maintaining consistent position sizing. My goal isn't a 100% win rate; instead, I focus on keeping losses manageable and driving asset growth through profitable trades.
My plan is simple: accumulate a net worth of approximately $5 million over the next year, then quietly retire and travel the world with my wife.
I run a stock discussion group where I share free daily market insights, covering stock selection logic, risk warnings, trading opportunities, and entry points. I share my strategies and experience at no cost, hoping to help those eager to learn, seeking inspiration, or interested in different perspectives on achieving financial freedom. If you are also pursuing financial freedom, feel free to reach out or share your thoughts I’m always happy to exchange ideas and grow together. Please note that this post does not constitute investment advice; I read and reply to every private message.
Wishing everyone successful trading!
If you find this interesting, cool! If not, cool.
I have no intention of recommending specific stock tickers or chasing the day's top gainers. My goal is simple: to thank those who have helped me and to share the stock selection methods and strategies I have developed through actual trading.
I typically screen for stocks that are temporarily overlooked by the market, undervalued, and have a small free float. Rather than chasing market fads or volatility driven by emotion, I prefer to wait for confirmation signals to appear.
I closely monitor the stability of multi stage trends such as the stock price's performance relative to the 5-day, 13-day, 34-day, and 55-day moving averages as well as changes in trading volume and liquidity. I evaluate trend quality by analyzing moving average structures, price stability, and the relationship between price and volume, thereby seeking opportunities for trend following trades.
This is just one part of my overall trading process, but it helps me avoid much of the chaotic, violent price volatility and allows me to focus on stocks that may be quietly building momentum.
Each week, I share my watchlist, market insights, and risk considerations in the stock discussion group I established. Everything is completely free; I do not provide specific trading signals or paid tools, nor do I make any promises of profit.
If you are interested in this approach to market research and observation, please feel free to leave a comment below or send me a private message. It is perfectly normal to hold different views; we are all learning and improving together.
As many people have shown interest in my stock discussion group, I have received a large volume of messages and may have inadvertently overlooked some comments or private messages. If you are interested, please feel free to contact me directly, and I will reply promptly once I see your message.
I did a search, and it seems like it should give me a route map showing the changes from the 70s to the 2020s.
I was curious about how money moved from the industrial sector to energy companies in the 70s. Then, I wondered how it flowed from energy companies to Japanese finance in the 80s. After that, it shifted from Japan back to commodities and energy, which is often called the old economy. Then, in the 90s, it moved to telecommunications, like Microsoft and Cisco. After the dot-com bubble, it went to Chinese banks and energy companies again. Finally, in the 2010s, it moved to big tech companies like Apple, Meta, Google, Microsoft, Amazon, Tesla, Oracle, and how money shifted from heavy industries to lighter and softer ones.
It looks like big tech is pouring money into semiconductors, memory providers, grid energy, and other areas of the AI and structural worlds.
We’re seeing another shift happening.
What if AI investment turns into a bubble and a crisis erupts?
This time, the crisis could hit the biggest companies globally, unlike before.
Nut the money already went and the money credited to the AI layers providers companies such as Nvidia , micron , TSMC and now we are seeing the energies companies and other first 3 layers energy , connections and semiconductor
If its bubble it will hit the big companies
Okay, so the reduction will definitely affect AI layer companies.
However, for the first three layers, it will be a minor impact.
From now on, I think we should consider investing more in those three layers and other companies that haven’t been investing in AI, like mandatory energy companies and consumers. People will still need to buy from them to live.
Let’s not put all our eggs in the AI basket.
Let’s put some in energy, medical, and consumer sectors.
I’ll start investing in those areas alongside the AI three layers.
If the bubble is real and it bursts, I’ll be prepared and not collapse. 😅
What do you think Guys
For over a year now, many macro-bears on social media have been screaming that AI investment is a bubble and that the 1999 Dot-Com crisis is repeating. They claim that the Capex from Nvidia, Micron, TSMC, Broadcom, and Big Tech is just fake demand built on hype.
I was researching who has gained the most from people's money from the past until today.
Over the last 20 years, I found that the best gainers were banks, energy companies like Chevron and ExxonMobil, and distributors like Walmart.
In the last 10 to 15 years, it was Mega-Tech companies: Apple, Microsoft, Amazon, Meta, and Tesla.
But from now through the next ten years!
Do you know that tech companies alone (Apple, Meta, Amazon, Tesla, Microsoft, Google) paid around $1T? To whom?
I know many macro-bears on social media and many smart investors are saying it's a bubble like the 1999 Dot-Com crisis.
But I want to look at the news from the last two days and the market data coming out. That bubble thesis has completely fallen apart; we have officially entered an era of structural resource cannibalization, and it's showing up in the real-world consumer economy.
Just read the following two news items:
1. Apple raised iPad and MacBook prices by around 20% on June 25th. Why?
2. Micron's earnings announcement on June 24th, 2026: they reported a 15x increase in quarterly profits with gross margins scaling past 80%. Why?
Here is the proof: Apple no longer controls pricing and is no longer able to protect the customer from AI investments. People will pay this bill. What does that mean?
It means that real AI infrastructure companies, like the following:
1. Semiconductors (Silicon, CPUs, GPUs, TPUs)
2. Memory
3. The Energy Grid & Power
4. Thermal Management
...will be the biggest gainers for the next several years, and perhaps for the next ten.
The costs are no longer just passing from companies to AI layer providers; they are starting to hit the customers.
Wait for Apple's next earnings report. If people are still paying this 20% extra, it means that AI investment is no longer a bubble, and new economic growth is coming.
How should we think now?
The initial boom of those companies may be past, and future growth will be more normalized rather than the explosive rise of the last year, but life goes on.
Let us consider: who will be the biggest gainers among the AI layer companies? They might be the next big boom.
Most people who followed $CYDY remember March 30, 2021. The FDA publicly stated that CytoDyn's claims about leronlimab were "misleading and not supported by the data", no benefit was shown in COVID-19 treatment trials. The stock dropped 25%+ that day.
What happened afterward was a class action lawsuit covering investors who held $CYDY between March 27, 2020 and March 30, 2022.
A $500,000 settlement has been reached and terms are now submitted to the court for approval.
Who qualifies?
Anyone who held $CYDY during the class period and suffered losses from the alleged misrepresentations about leronlimab's effectiveness for HIV and COVID-19.
Can I still apply?
Yes, you can submit your application now and it will be processed once claims filing officially opens after court approval.
If you were damaged by this don't forget to check your eligibility. GL!
For anyone who's spent time writing serious bearish research only to watch it disappear into the social media void — we built something for you.
What GRZLY is:
GRZLY is a public prediction platform for bearish stock theses. You publish a Drop: a ticker, a written argument (minimum 200 characters), a resolution window of 30 to 365 days, and optionally a specific price target. The community votes Bearish or Skeptical with conviction scores weighted by each voter's historical accuracy — so the signal is calibrated, not raw sentiment.
When the window closes, Polygon.io pulls the closing price and resolves the outcome automatically. The result goes into the Bear Book, a permanent archive of resolved calls. Correct or not, the record stands.
Over time, every user builds a public accuracy score. The best analysts rise based on outcomes, not engagement.
Why this is different from StockTwits, Reddit, and everything else:
Every existing tool for sharing bearish conviction is either unstructured (Reddit, Twitter), editorially gated (Seeking Alpha), or doesn't track outcomes at all (StockTwits). None of them hold you accountable. None of them tell you who's actually been right over time.
GRZLY enforces structure, timestamps everything, and lets the market resolve it. That's the whole product.
The data angle — and why it matters long-term:
This is worth paying attention to. Every resolved Drop produces a clean, structured record: thesis text, publish date, resolution date, entry/exit price, binary outcome, conviction score at resolution, voter accuracy distribution. Nothing like this dataset exists publicly. Short interest data from S3 Partners or Ortex tells you how much short interest exists — it doesn't tell you why, or whether the people behind it were right. GRZLY's Bear Book adds reasoning, accuracy weighting, and verified outcomes to the conviction signal. The dataset gets more valuable the longer the platform runs, because accuracy scores compound with sample size. A Vibelord with 50 resolved Drops and a 74% hit rate is a meaningfully different signal than one with 3.
The plan is to eventually license this to hedge funds, quant shops, and financial data platforms as a differentiated alternative data feed. The community builds the moat; the institution pays for it.
What it isn't:
Not a brokerage, not a prediction market with financial stakes, not investment advice. No money changes hands on outcomes. It's a reputation engine and accountability system.
If you do serious bearish research and want a verifiable public track record, this is built for you.
> grzly.com "Short the hype. Build your record."
We're posting this here because we want your feedback - please, help us grow GRZLY!
I've been trading for more than a decade now, and one thing still surprises me:
The more experience I gained, the fewer indicators I ended up using.
When I first started, my charts looked ridiculous. RSI, MACD, Bollinger Bands, volume profiles, Fibonacci levels, moving averages everywhere. I thought the traders making real money must have some secret combination of indicators that gave them an edge.
Now my primary intraday chart has basically two things on it:
A 20 EMA and a 50 EMA.That's it.
I know some people will immediately roll their eyes and say moving averages are lagging indicators. They're right. They are lagging. But I've found that most traders lose money trying to predict where the market is going instead of reacting to what it's already doing.
When the shorter EMA is above the longer EMA, I look for pullbacks and continuation. When it's below, I look for weakness and rejection. What matters isn't the crossover itself. What matters is whether price respects that area when it comes back to test it.
The biggest mistake I used to make was chasing momentum after a stock had already made most of its move. These days I'd rather miss the first 20% of a move and participate in the middle than constantly try to catch the exact bottom.
Ironically, the less I trade, the better my results have become.
Most of my losing happened periods when I felt like I needed to be in a trade. I'd sit in front of the screen all day convincing myself that every little move was an opportunity. Looking back, boredom probably cost me more money than bad analysis ever did.
One thing I've noticed over the years is that clean trends tend to make almost any reasonable strategy look brilliant, while choppy markets make almost every strategy look broken. That's why risk management matters more than entry precision in my opinion.
The market doesn't pay you for being right.
It pays you for surviving long enough to be right repeatedly.
So I'm curious where everyone stands on this.
Do you think simple trend-following systems are underrated?
Or do you believe indicators like EMAs are mostly useless and price action alone is all that matters?
I'd honestly be interested to hear what traders with different styles think.
Previous weeks' results:
Week 7: $573 on $53,800 invested
Week 8: $811 on $70,400 invested.
Week 9: $1093 on $103,450 invested
Week 10: $1040 on $97,400 invested
Week 11: $1077 on $102,800 invested.
Week 12: $1170 made on $98,600 invested
Week 12.5: Bonus round: $475 extra made increasing investment to $106,100
Week 13: $1,133 on $106,100 invested
Week 13.5 Bonus Round: $336 extra made increasing investment to $115,900
Week 14: $1,053 on $105,750
Week 15: $1,146 on $110,700
Week 16: $1,105 on $111,850 invested
Week 17: Trades in comments as usual. I have a few things in the shitter so probably no new positions, just rolling this week.
I might have a busy day tomorrow so rolling today instead. Every post somebody asks what the strategy is.
Strategy: Roll puts already sold or open new positions from the low delta list from brokerbotics. If at assignment risk roll earlier. Try to get 1% to roll lower, if not possible, roll for minimum credit to same or lower price. Always credit though. Here's the prompt:
find me 20 unique lowest risk puts to sell on stocks
expiry: next week
strike at least 8% from stock price
return at least 1%
sort by delta
furthest away from stock price
minimum strike price 10
Results:
Which is the best video (preferably) you've ever seen on cutting losses(STOPLOSS)? One that changed the way you look at losses. One that made your soul, body and nerves feel alright or manageable to take losses. One that helped you stop averaging more quantities when the position goes against you.
I’m 48, and after spending years in the markets riding both euphoric highs and painful lows I finally built a system that kept me consistent. Not perfect, but reliable enough to grow steadily without chasing “overnight miracles
Before fading out of active trading, I want to share some experiences that have worked for me. There are no fees and no commercial promotions here; it's purely a space for everyone to learn, exchange ideas, and grow together
If you are interested, feel free to send me a message it might be worth looking into. While this approach may not suit everyone, it could offer a useful reference