This is why I continue to be bullish on the long-term $SOFI thesis. Q3 adjusted net revenue hit a RECORD $1.4B, up 44% YoY, while adjusted EBITDA jumped 70% to $470M. GAAP net income reached $241M, members grew 35% to 17.1M, and total products increased 44% to 26.7M. Those are not small improvements. That is operating leverage showing up across the business. What really catches my attention is management raising 2026 guidance to roughly $5.04B in adjusted net revenue and $1.66B in adjusted EBITDA, while already introducing a 2027 outlook of $6.4B in adjusted revenue, $2.24B in EBITDA, and $0.90 EPS. That is the part I care about as an investor. Revenue is scaling, profitability is scaling faster, membership keeps expanding, and SoFi continues moving closer to becoming a full financial operating system instead of just another fintech app. I’m still watching valuation, credit quality, deposit growth, and whether execution keeps matching the story, but this quarter strengthens the thesis. As a SoFi Maxie, I like what I’m seeing. Sources: https://t.co/cNchYGp1Ki https://t.co/0zLQw09USz EDUCATIONAL MARKET COMMENTARY ONLY. NOT A RECOMMENDATION TO BUY, SELL, OR HOLD. $SOFI #SoFi #FinTech #Investing #TheFinancialLedger #WealthCoachLathan

Anthropic may be about to give public markets their clearest look yet at the real economics of frontier AI. @YahooFinance reports @AnthropicAI could publicly file its S-1 as soon as Friday, potentially setting up a November IPO. That matters because investors may finally get a deeper look at what it actually costs to build at the frontier. Anthropic has built a strong position around @claudeai, Claude Code, enterprise AI, and developer tools. But that growth also depends heavily on massive infrastructure partnerships with: $AMZN | @awscloud $GOOG / $GOOGL | @googlecloud The opportunity is obvious. AI adoption is accelerating. Enterprise demand is growing. Developer usage is expanding. And Anthropic has become one of the strongest companies in the frontier-model race. But the public-market question is much simpler: Can revenue growth justify the capital intensity? That is what I will be watching. THE BULL CASE Anthropic becomes core AI infrastructure for: • Enterprise workflows • Software development • Coding agents • Automation • Intelligent agents • AI-native business operations THE RISK CASE Compute costs, infrastructure spending, competition, governance, safety requirements, and valuation expectations outrun the economics. That is why the IPO itself is not the thesis. The thesis is: Revenue quality. Margins. Infrastructure costs. Enterprise retention. Free cash flow. Governance. AI safety. Capital efficiency. My View: The IPO will get the headlines. The S-1 will tell us whether the business model actually deserves the valuation. If @AnthropicAI files publicly, I will be reading that document closely. Sources: Yahoo Finance: https://t.co/u10RnTE0Bq Reuters: https://t.co/IV6az3vPkU Reuters: https://t.co/hKydqYJjou Stay Solvent. Stay Secure. #Anthropic #ArtificialIntelligence #IPO #AIInfrastructure #TheFinancialLedger

I think Bitcoin gets more interesting when you stop asking: “How high can $BTC go?” And start asking: “What could one satoshi eventually be worth?” Hal Finney was already thinking about this in 2009. His thought experiment was simple: If Bitcoin became a major global monetary system, what would a fixed supply actually imply? Bitcoin has a hard cap of roughly 21 million BTC. Each BTC contains: 100,000,000 satoshis That means the entire Bitcoin network can ultimately be divided into about: 2.1 QUADRILLION SATS That sounds like a massive number until you start applying global-scale value to it. If Bitcoin’s total network value reached: $21T → 1 BTC = $1M → 1 sat = $0.01 $100T → 1 BTC = ~$4.76M → 1 sat = ~$0.048 $517T → 1 BTC = ~$24.6M → 1 sat = ~$0.25 $1 quadrillion → 1 BTC = ~$47.6M → 1 sat = ~$0.48 $2.1 quadrillion → 1 BTC = $100M → 1 sat = $1 That is NOT a price prediction. It is a monetary thought experiment. Because Bitcoin’s future value depends on what role the network actually earns. Digital gold? Global collateral? Reserve asset? Settlement network? Global currency? Some combination of all of them? And here is the scarcity piece people overlook. If 21 million BTC were somehow divided evenly across roughly 8.3 billion people, each person would only receive around: 0.00253 BTC or roughly: 253,000 sats. And reality is even tighter because Bitcoin will never be distributed evenly and some coins are permanently lost. That is why I think denomination psychology eventually matters. If Bitcoin ever reaches true global monetary scale, people probably will not think in whole BTC. Nobody wants to say: “That costs 0.00000035 BTC.” They will say: “That costs 35 sats.” The long-term Bitcoin question may eventually stop being: “How expensive is one Bitcoin?” And become: “How much purchasing power does one satoshi represent?” That is a much more interesting way to think about fixed supply. 21 million BTC. 2.1 quadrillion sats. Potentially billions of users. That is where the scarcity thesis gets real. Stay Solvent. Stay Secure. #Bitcoin #BTC #Satoshis #DigitalAssets #MonetaryInfrastructure

@LTCFoundation @litecoin 15 years is a LONG time in crypto. That is exactly why I respect $LTC. Litecoin launched in 2011 and has survived multiple market cycles, exchange failures, regulatory shifts, competing chains, meme waves, DeFi cycles, and every “next big thing” crypto has thrown at the market. And it is still here doing what it was built to do. Fast settlement. Low fees. Proof-of-work security. Self-custody. Fixed supply. MWEB privacy. Real network usage. As a Litecoin Maxie, that longevity matters to me more than hype. Anybody can launch a token. Very few networks can prove they are still relevant 15 years later. Happy 15th Birthday to Digital Silver. 🥂💎 #Litecoin #LTC #DigitalSilver #TheFinancialLedger #WealthCoachLathan

@Minimilian84 @LTCFoundation this is exactly why I keep saying people are sleeping on $LTC. 50 MILLION transactions in 2026, roughly 12% of Litecoin’s entire lifetime transaction count, in less than one year is not just “price action.” That is network usage. What matters to me is that Litecoin keeps proving the same thesis: low-cost settlement, proof-of-work security, self-custody, MWEB privacy, growing merchant/payment utility, and now more infrastructure coming around LitVM and corporate treasury adoption. As a Litecoin Maxie, I do not need hype. I want usage, durability, and infrastructure. Price can lag fundamentals for a long time. Network growth is harder to ignore. Digital Silver keeps building. 💎🙌🏾 @litecoin #Litecoin #LTC #DigitalSilver #TheFinancialLedger #WealthCoachLathan

Before the Bell: Quick Market Hits October 9, 2026 | 5:54 AM CT FACTS Futures • Dow: +0.14% • S&P 500: +0.39% • Nasdaq: +0.78% Macro • Gold: $4,209.80, +1.27% • Crude Oil: $90.60, -0.97% Tech Movers • $ORCL: -5.48% • $AVGO: -4.35% • $ON: -3.76% • $NVDA: -2.94% • $INTC: -5.34% Defense • $RTX is in focus after Raytheon reportedly secured a $6.3B Pentagon contract tied to SM-3 interceptor replenishment. Cannabis • $MSOS: -4.47% • $CURLF: -4.16% Earnings Watch • Today: $DAL • Next: $JPM, $ASML, $TSM, $TSLA MARKET INTERPRETATION The premarket setup is constructive, with Nasdaq futures leading. The key question is whether this becomes a durable rebound or simply a short-term bounce after recent technology weakness. Lower crude could ease some inflation pressure at the margin, but elevated energy prices and Treasury yields remain important macro risks. Technology remains the key battleground. Investors are still weighing whether AI infrastructure spending, revenue growth, and cash-flow generation can justify premium valuations across semiconductors and large-cap tech. Four variables I am watching today: Oil Treasury yields Semiconductor leadership AI sentiment Green futures are a positive signal. They are not confirmation by themselves. Stay Solvent. Stay Secure. EDUCATIONAL MARKET COMMENTARY ONLY! NOT A RECOMMENDATION TO BUY, SELL, OR HOLD! #Markets #Nasdaq #AI #Semiconductors #Oil #Gold #RTX #ORCL #AVGO #TheFinancialLedger SOURCES Google Finance: https://t.co/SAfcOFf14g Yahoo Finance: https://t.co/4AFwsjFFzu Reuters Markets: https://t.co/YHJIH0Gzm1 CNBC Markets: https://t.co/D8FAZZjiBo

@TheStreet this is one of those AI opportunities that is impressive and frustrating at the SAME time. AI analyzing roads, bridges, inspection records, deterioration patterns, traffic importance, and repair priorities makes complete sense. This is exactly where AI should create real operational value. But from a Business Analytics mindset, the wild part is that we have effectively created a MAN-MADE economic problem through decades of deferred maintenance, fragmented databases, inconsistent inspections, budget constraints, and infrastructure underinvestment. Now that same problem has become a potentially massive technology market. Think about the cycle: Infrastructure deteriorates. Maintenance gets deferred. Inspection data gets trapped in disconnected systems. Repair backlogs grow. Governments face limited budgets. Then private technology companies emerge to monetize the optimization problem. That is WILD. Not because profit is inherently bad. Profit can incentivize innovation. But imagine the economic value that could have been preserved if we had better asset-management systems, lifecycle forecasting, preventative maintenance, and infrastructure analytics from the beginning. This is where AI becomes powerful. Computer vision can identify deterioration. Machine learning can analyze decades of inspection history. AI agents can help engineers determine WHICH bridge should be repaired first based on condition, traffic, network importance, cost, and risk. That is not AI replacing engineers. That is AI improving CAPITAL ALLOCATION. And that may be the bigger investment thesis hiding here. The next major AI winners may not simply sell models. They may help governments and businesses make better decisions about TRILLIONS of dollars in physical assets. We created a massive infrastructure problem through human decisions. Now AI may become one of the tools we use to manage the consequences more intelligently. Source: https://t.co/BUvzEATUOJ #ArtificialIntelligence #Infrastructure #BusinessAnalytics #Investing #TheFinancialLedger #WealthCoachLathan

@KongBTC this is very close to how I view the Bitcoin and Litecoin relationship. $BTC is the harder reserve asset in my framework. $LTC is the transactional layer I increasingly view as DIGITAL SILVER. I do not think investors have to choose one and attack the other. They solve overlapping but different economic problems. Bitcoin excels as scarce digital property and long-term monetary savings. Litecoin gives me many of the same principles with an emphasis on USING the network: fast settlement, consistently low transaction costs, proof-of-work security, self-custody, optional privacy through MWEB, and a fixed 84M supply. That creates a simple personal philosophy: Preserve purchasing power with scarce assets. Maintain liquidity for opportunity. Use decentralized rails when they provide a better solution. Control your own keys whenever appropriate. And never confuse speculation with financial infrastructure. If Bitcoin becomes increasingly analogous to digital gold, Litecoin does not need to defeat Bitcoin to succeed. It needs to become one of the most dependable forms of decentralized digital money people can actually MOVE and SPEND. Store value. Move value. Protect sovereignty. That is a monetary system I can understand. @litecoin #Bitcoin #Litecoin #LTC #DIGITALSILVER #FinancialLiteracy #TheFinancialLedger #WealthCoachLathan

@litecoin THIS is the kind of $LTC growth I care about as a Litecoin Maxie! Going from roughly 176K LTC to more than 535K LTC held inside MWEB over 12 months is not a price prediction. It is NETWORK BEHAVIOR. MWEB gives Litecoin users optional confidentiality by obscuring transaction amounts and improving fungibility while still allowing people to use the transparent Litecoin base layer when they choose. That matters because real money should give users options. Spend privately when appropriate. Hold your own keys. Move value cheaply. Settle without asking permission. The bigger thesis for me has never been “number go up.” It is that Litecoin continues building the characteristics of usable digital money: Fast settlement. Low fees. Proof-of-work security. Fixed 84M supply. Long-term uptime. Self-custody. Optional privacy through MWEB. And growing infrastructure around the network. A 3X increase in LTC entering MWEB tells me more users are actually USING one of Litecoin’s differentiated features. Price gets the headlines. UTILITY builds conviction. Digital Silver keeps quietly doing the work. 💎🙌🏾 #Litecoin #LTC #MWEB #DigitalMoney #TheFinancialLedger #WealthCoachLathan

@felixprehn this is where I separate investing research from “find the next 20x” content. $NVDA and $PLTR look obvious in hindsight. They were NOT obvious when the market was pricing execution risk, competition, capital requirements, and uncertainty. That is survivorship bias. $NNE is a good example of how I would approach an emerging company from a Business Analytics mindset. The thesis is interesting: Nuclear demand is rising. AI and data centers need reliable power. Microreactors could serve remote infrastructure, defense, industrial sites, and eventually commercial applications. And @nano_nuclear has made tangible regulatory progress with its KRONOS MMR program entering formal NRC review. But I am not asking: “Can this become the next NVIDIA?” I am asking: Can management execute? Can the technology clear NRC review? How much capital will commercialization require? What does dilution risk look like? Can fuel supply scale? What is the realistic deployment timeline? Who becomes the customer? What does unit economics look like after deployment? What competitive advantage survives once larger nuclear companies enter the market? That is how I research asymmetric opportunities. The upside story gets my attention. The balance sheet, regulatory pathway, competitive moat, and execution data determine whether it earns capital. Potential 20x return is NOT the thesis. Successful commercialization is the thesis. Sources: https://t.co/XzTkWcDQsc https://t.co/jYBLu1cubo EDUCATIONAL MARKET COMMENTARY ONLY!❗ NOT A RECOMMENDATION TO BUY, SELL, OR HOLD!❗ $NNE #NuclearEnergy #Investing #BusinessAnalytics #TheFinancialLedger #WealthCoachLathan