People I Learn From #9 Some people probably have no idea how much their support matters to someone who is just starting out. This week, I want to thank one of those people. @Stealthct_Storm. And there is something I want to tell him that he probably does not even know. He was one of the first people who started commenting on my posts. When I was rebuilding my presence here after my first account was suspended, I was basically starting from zero again. New account. Very little visibility. No established reputation. Just me, my charts, my research, and the screening systems I was spending countless hours developing. And like I have said before, I knew how difficult it was for people to trust a new account. Especially one posting technical charts, automated calculations, and research that probably looked like it was coming from a machine. But behind that account was a real person trying to share something useful. And Stealthct was one of the first people who gave that work some attention. He commented. He interacted. He supported what I was posting. He did not know me. He did not owe me anything. He simply showed up. And I noticed. I remember those early interactions because they happened at a time when I was trying to rebuild something that had already taken a lot of effort to create. Sometimes a comment might seem like nothing to the person writing it. But to the person receiving it, especially when they are just starting again, it can mean much more. It tells you somebody is reading. Somebody is paying attention. Somebody considers your work worth discussing. That mattered to me. And I want to thank him for it. But this series is not only about the people who have supported me. It is also about explaining why I think their accounts deserve attention. And @Stealthct_Storm brings something different to FinX. His account is not a formal research desk. It is not a complicated screening system. And it is not a feed where every post needs to be a detailed technical report. It is much closer to an open investing journal mixed with a very active community conversation. Crypto. ETFs. Dividends. Growth stocks. Macro. Market sentiment. And the everyday reality of trying to build wealth while dealing with volatility. What I find interesting is how he combines two very different parts of investing. On one side, he follows crypto and technology. $BTC. $ETH. $SOFI. $NVDA. Markets where price can move aggressively, sentiment can change quickly, and conviction gets tested constantly. On the other side, he has a very specific long term ambition. Building dividend income. His stated goal is to eventually reach $20,000 per month in dividends. That is an ambitious target. And I appreciate that he is willing to put the goal out there publicly. Of course, having a goal does not mean achieving it is guaranteed. And combining volatile growth assets with dividend investments does not automatically eliminate risk. The allocation, the quality of the holdings, the income sustainability, and the decisions made along the way still matter. But there is something useful about watching somebody document what they are trying to accomplish. It gives the community a chance to follow the journey. Not just the destination. And that brings me to something else I respect about his account. He is not afraid to show the emotional side of investing. The excitement when something works. The frustration when a stock disappoints. The uncertainty when crypto starts moving aggressively. The questions when market sentiment changes. And sometimes the simple reality that a bad market day does not feel good. A lot of people online pretend that successful investing means never experiencing uncertainty. I do not believe that. Uncertainty is part of the market. The important question is what we do with it. Do we react emotionally? Do we abandon our plan? Do we confuse a temporary price movement with a permanent change in the business? Or do we examine the evidence and make decisions according to our process? That is something every investor has to learn. And I appreciate accounts that are willing to show the human side of that experience rather than pretending everything is always under control. Another thing that makes Stealthct different is how much he interacts with people. He asks questions. He starts conversations. He wants to know what others think. Sometimes it is about Bitcoin. Sometimes it is about a company. Sometimes it is about market sentiment. Sometimes it is about the challenges of growing an account on X. And sometimes it is simply checking in with the community. His usual "X Family" approach says a lot about how he sees this place. Not just an audience. A community. And I genuinely respect that. I spend a lot of my time working with data. Charts. Screening systems. Relative strength. Market structure. Research. Calculations. Trying to separate what is actually happening from what people think is happening. But I also believe that market conversations should not become so technical that we forget there are real people behind the accounts. People with different goals. Different experiences. Different portfolios. Different levels of knowledge. And different reasons for being involved in the market. Some are trying to become better traders. Some want to build long term wealth. Some are learning about crypto. Some want financial independence. Some simply enjoy discussing markets with people who share the same interests. There is room for all of them. And people like Stealthct help keep those conversations going. That is valuable. Not because every opinion is correct. Not because every investment idea works. But because a community becomes stronger when people participate rather than simply broadcast. And that is exactly what he did with me. When my account was still small. When people did not know who I was. When I was trying to rebuild my presence and share my work. He was already there in the comments. And I think that is worth recognizing. Because supporting someone does not always require a big gesture. Sometimes it is a thoughtful reply. Sometimes it is asking a question. Sometimes it is acknowledging that somebody put effort into something. And sometimes it is simply showing up consistently. Those things matter more than people realize. I do not follow accounts because I expect to agree with every opinion they publish. I follow people for different reasons. Some challenge my assumptions. Some introduce me to new companies. Some teach me something about macro or technical analysis. And some remind me why the community itself is worth being part of. @Stealthct_Storm belongs in that last group for me. And I appreciate the market conversations that come with it. So thank you, brother. Thank you for being one of the first people to comment on my posts. Thank you for supporting my work when I was still rebuilding my account. Thank you for taking the time to engage with somebody you did not know. And thank you for continuing to make this community a place where people actually talk to each other. If you enjoy crypto, ETFs, dividend investing, technology stocks, and following somebody who openly shares the market journey while engaging with his community, take a look at @Stealthct_Storm. You will find an active account with plenty of conversations and a personal investing goal he is working toward. And from my experience, you will also find somebody who takes the time to support other people. That last part is why I wanted to write this. You probably did not realize how much those early comments meant to me. But I remember them. I respect the support. I appreciate the person behind the account. And I hope you reach the goals you are working toward. Thanks for being there from the beginning, man. I have not forgotten it.

I have spent the last couple of weeks exploring Trade Tracs, and I think more traders and investors should know what @CaseyVSilver is building. First, I want to make something clear. This is NOT a paid partnership or sponsored post. I am not promoting this because someone asked me to. I am sharing it because I have been using the platform, I find it useful, and I believe other traders and investors could benefit from exploring it. If you follow Casey, you probably already know that he spends a lot of time analyzing the market during his live sessions and sharing his observations with the community. Trade Tracs is the platform he is building around that work. And after spending some time going through the different tools, I realized there is much more here than simply looking for stocks that might go up. Let me explain what I found and how I think these tools can be useful. First, the Market Overview. When I open the dashboard, I can quickly see what the major indexes are doing, which sectors are leading, which industries are performing better and how the overall market is behaving. There are interactive charts with moving averages, market movers, quick insights and direct access to other research tools. For example, if financial stocks are showing strength while technology is struggling, I can immediately start investigating whether that is just a daily difference or something developing into a broader rotation. This is useful because I don't want to analyze a stock without understanding the market environment around it. Then there is Daily Tracs. This is where Casey's daily market commentary becomes particularly interesting. He shares his market bias, important index support and resistance levels, macro developments, sectors worth following and stocks on his watchlist. I also like the historical archive because I can go back and see how his market interpretation changed from one session to another. For example, one day the market might be preparing for a technology rebound, while the next session earnings results introduce new risks. Having those observations organized helps me understand the thinking behind the changes. I don't have to agree with every conclusion to find the process useful. Sector Trac is another tool I particularly like. It shows how different sectors are performing relative to the broader market and allows comparisons across different timeframes. You can examine which sectors are strengthening, weakening or holding their position, and explore heatmaps showing how individual companies are contributing. For example, utilities, healthcare and consumer defensive stocks might start showing better relative performance while technology or consumer cyclical groups weaken. That immediately gives me something to investigate. Is the market becoming more defensive? Is leadership changing? Or are we simply looking at a temporary divergence? The platform also includes sector rotation and money flow classifications. I treat those as indications of changing relative performance, not direct proof of institutional transactions. Then comes Theme Trac, and this is where things get even more interesting for my own research. Instead of stopping at traditional sectors, I can investigate specific market themes. Cybersecurity, enterprise software, memory, semiconductors, AI infrastructure, data center power, rare earths, copper, gold miners, robotics, autonomous vehicles, nuclear energy and many others. This matters because a sector can look weak while a particular theme inside it is showing relative strength. Take technology as an example. Semiconductors could be losing momentum while selected cybersecurity or enterprise software companies are holding up much better. Or AI infrastructure could be weakening while memory or software applications are attracting more attention. Theme Trac helps identify these differences without having to manually open dozens of charts just to find out where the stronger pockets might be. And what about individual trade opportunities? That is where Signal Tracs becomes useful. The platform identifies potential setups and presents information such as entry zones, stop levels, targets and its own conviction assessment. I saw examples involving $CHKP, $CART and $QLYS, each with its own trading plan rather than simply a ticker and a bullish label. I like that approach because a stock idea without an entry, an invalidation level and a risk assessment is incomplete. Of course, these are the platform's model assessments, not guaranteed outcomes. I still need to validate the chart myself, but having that information organized gives me a starting point. The Market Breadth and VIX tools are also worth exploring. This is something I pay close attention to in my own market analysis. The platform tracks advancing and declining stocks, participation above important moving averages, broader bullish and bearish classifications and changes in volatility. Think about a situation where the major indexes are holding up relatively well, but most individual stocks are trading below their intermediate moving averages. That tells a very different story from the index chart alone. And combining that information with the VIX helps me understand whether the market environment is becoming more difficult for swing trading. There is also a Market Regime and Health Scorecard. This brings trend, breadth and volatility together into a broader assessment of market conditions. What I find useful is that it doesn't stop at giving the market a label. It connects that assessment to a trading playbook. For example, during a difficult environment, the platform may favor smaller starter positions, tighter risk controls, selective pullbacks and more patience instead of chasing breakouts. It also separates stronger themes from those showing deteriorating momentum. I already use my own technical systems for these decisions, but seeing another structured interpretation is useful for comparing conclusions and questioning my assumptions. Now, one area that deserves more attention is the earnings research section. There is an earnings calendar, historical earnings analysis, surprise tracking, pre-earnings sentiment, model-based earnings expectations and post-earnings reviews. You can investigate which companies are reporting, what analysts expect, whether estimates have been revised and how previous results compared with expectations. There is also an Earnings Flag tool that identifies potential chart structures developing after significant earnings gaps. This is interesting for swing traders. Imagine a company reports better than expected results, gaps higher and then begins consolidating instead of immediately giving back the move. Rather than manually searching through hundreds of earnings charts, the platform can help narrow down which ones deserve a closer look. That doesn't make the setup trade ready, but it can save research time. And I would treat the earnings prediction scores as screening estimates, not validated probabilities of success. Macro Trac adds another layer. This section connects market preparation with economic events, central bank decisions, inflation, bond yields and major global headlines. It also includes market news sentiment and a broader economic calendar. For example, if I am preparing a technology swing trade ahead of a Federal Reserve decision, I want to know that the event is coming and understand how it could affect market volatility. A technically attractive chart can still become a difficult trade when a major macro catalyst changes market conditions. Being aware of that risk matters. And there are more tools available. Scanners, interactive charts, trade planning, a trading journal, market news and other features designed to help organize the process. I have not explored every feature to the same depth yet, and this is certainly not a complete presentation of the platform. But what I have seen so far is enough for me to understand the direction Casey is taking. What I appreciate most is that these tools connect different parts of the trading process. Market environment first. Then sector and theme strength. Then individual stock selection. Then technical confirmation, entry quality and risk management. And finally, reviewing the decisions afterward. That is close to how I already approach the market with my own screening systems, technical indicators and research process. Trade Tracs doesn't replace those systems for me, and I don't expect it to. But it gives me another perspective, helps me discover information faster and provides tools that I can compare against my own analysis. For day traders and swing traders, I think there is quite a bit here worth exploring. Long term investors can also use the sector, theme, earnings and macro tools, although deeper fundamental research remains necessary. And I want to emphasize something. Using a tool like this doesn't mean blindly following every signal or accepting every market prediction. You still need to understand what you are trading, validate the evidence and manage your own risk. No dashboard can remove uncertainty from the market. But a well organized research process can help us make more informed decisions. That is what I look for when evaluating trading tools. So credit to my friend @CaseyVSilver for the work he is putting into Trade Tracs, for sharing his market analysis with the community and for building something that traders can actually explore and use. I appreciate people who don't just talk about their process but put real effort into building tools around it. If you haven't explored the platform, take a look and decide whether it fits your own workflow. tradetracs.com/ Again, this is not a paid partnership. Just me sharing another tool I have been using in my everyday market research. And if you find something useful in it, that is exactly why I wanted to share it. My market journal, not financial advice.

thanks bro. yours are great also

2,000 FOLLOWERS! THANK YOU ALL! Today my account passed 2,000 followers, and I want to take a moment to thank every single one of you who decided that my work is worth following. To everyone who reads my posts, shares them, comments, asks questions or simply takes the time to go through my research, I genuinely appreciate you. I know my posts are long. Sometimes very long! But there is a reason for that. I don't want to simply show you a chart, mention a ticker or tell you that a company looks interesting. I want to explain why I am looking at it, what the evidence shows, what could go wrong and how I approach the decision. When I started building my own portfolio, I didn't have access to all the information and knowledge I have today. I had to learn a lot through trial and error, and believe me, some of those mistakes were expensive. That is one of the main reasons I share so much of my work here. If something I learned the hard way can help another investor avoid making the same mistake, understand a chart better, question an investment thesis or manage risk more carefully, then the time I spend writing these posts is worth it. I am not here to pretend I have all the answers. I still make mistakes, I still have losing trades, and I am constantly learning, questioning and improving my own systems. And I want to share that part too. Not just the winners, but the failures, the lessons and the entire process behind them. I don't want anyone to blindly follow my decisions. I want people to understand enough to make better decisions for themselves. That, to me, is what a good investing community should be about. And I have met some genuinely wonderful people here. People who support each other, share their knowledge, challenge ideas respectfully and make this journey much more enjoyable. So thank you for welcoming me into this community, for trusting me with your attention and for giving my work a place in your daily market routine. 2,000 followers is a wonderful milestone, but what matters more to me is the knowledge and friendships we build along the way. Let's keep learning, sharing, questioning and growing together as traders and investors. And remember, nobody knows everything about the market. There is always something new to learn, including for me. Thank you all. I genuinely mean that. My investing journal, not financial advice.