Bitcoin’s drop below $91,500 highlights the crypto market’s volatility, with Ethereum falling under $3,000. I see this pullback as a mix of macro headwinds—from Fed policy to AI-driven risk shifts—and a natural consolidation after recent highs. A small rebound near $91K is possible, but past halving cycles suggest a longer-term downtrend could still be in play. I’m watching crypto stocks closely. Coinbase breaking $275 & Robinhood near $115 show selling pressure, but selective opportunities may be forming. I’m cautious about treasury-heavy names like MSTR or BMNR, which could fall further, while stable plays like Circle seem more likely to stabilize. If Bitcoin rebounds near $90K, I’d take partial profits rather than fully exit, keeping some exposure for potential upside. I’m also ope

$Palantir Technologies Inc.(PLTR)$ I've been actively adding to my position in Palantir Technologies (PLTR) during this wave of market correction, and it's a decision rooted in both conviction and opportunity. Despite the recent pullback in tech stocks, I see Palantir's fundamentals remaining strong. The company's AI-driven analytics platform continues to secure government contracts while expanding its commercial footprint, giving it a dual revenue engine that many peers lack. This combination of predictable government cash flow and high-growth commercial potential makes PLTR particularly attractive when the market sentiment is shaky. From a technical standpoint, the current correction has created a compelling entry point. PLTR has pulled bac

With the shutdown ending, the relief rally makes sense — liquidity is coming back — but I don’t see it as a new bull trend yet. Key macro issues like inflation, yields, and Fed uncertainty are still unresolved, so I’m cautious about chasing the first rebound. The Dow–tech divergence also signals that risk is being repriced. Mega-cap AI stocks remain expensive, and recent selling from SoftBank and big short positions against NVDA and PLTR suggest more volatility ahead. In contrast, blue chips and cyclicals look more stable in the near term as funds rotate. For the next month, I lean toward blue chips and cyclicals outperforming since they benefit most from liquidity returning without facing valuation stress. I’ll watch AI leaders for opportunities, but I prefer to wait for cleaner setups r

This November’s volatility really showed me what “diversification” means — I’m in stocks, gold, and bitcoin, so I basically got to lose money in three different ways at once. When everything falls together, it forces you to rethink your risk tolerance, but it also teaches you to stay calm and understand your own limits better. I’m definitely the type who got pulled in by platforms and curiosity. I was just browsing, and all the “Top picks,” “Beginner-friendly stocks,” and market discussions around me pushed me to open an account. One tap later, I placed my first trade & only then did I realize that real market volatility hits way harder than the theory. Right now, I’d call myself the “tuition-paying but getting enlightened” type. I accept losses as part of the learning curve, and I’m

From my perspective, Nvidia's sell-off last week isn't automatically a danger sign, but it does show how sensitive the market has become to any shift in sentiment around AI. At these valuations, even great companies get punished on small changes in positioning or macro expectations. To me, it felt more like de-risking ahead of earnings rather than a fundamental reversal in the AI story. That said, I still think Nvidia $NVIDIA Corp(NVDA)$  $GRANITESHARES 1.5X LONG NVDA DAILY ETF(NVDL)$  $Direxion Daily NVDA Bull 2X Shares(NVDU)$  has a good chance of beating

From my point of view, Alibaba $Alibaba(BABA)$  $Alibaba(09988)$   rolling out the upgraded Qwen model to take on ChatGPT is definitely a positive catalyst, especially since the market has been rewarding anything tied to AI. A 5% pre-market jump shows how hungry investors are for signs that Chinese tech giants can stay competitive in the global AI race. For me, the key isn't just the model itself, but whether Alibaba can integrate Qwen across its vast ecosystem — e-commerce, cloud, and enterprise services — to translate hype into real revenue. That said, I'm still cautious about simply extrapolating U.S.-style AI valuations to A

Looking at the latest 13F moves, I see a clear pattern: institutions are becoming more selective rather than abandoning tech altogether. To me, the trimming in Nvidia by Bridgewater, Citi, and even Peter Thiel feels more like profit-taking after an extended run than a signal that the AI boom is over. When a stock becomes a consensus overcrowded trade, big funds often de-risk ahead of volatility—not because they've lost conviction, but because they want to lock in gains and rebalance. At the same time, I find it interesting that Berkshire and Renaissance chose to increase their positions in Google. That tells me institutions aren't rotating out of tech—they're rotating within tech, toward companies with stronger valuations and more diversified revenue streams. Google

With gold surging again, I'm not surprised to see Wall Street shouting about a potential move toward $5,000. Safe-haven demand tends to come back whenever markets get shaky, and this year's geopolitical and liquidity uncertainties make gold especially appealing. For me, the trend still looks firmly bullish. That said, I don't chase gold just because of big headline targets. Instead, I look at whether it still fits my portfolio as a hedge. When equities get volatile, having some exposure to gold helps balance things out, and that's the part that actually matters to me more than the exact price projection. If gold keeps climbing, great — I benefit from the hedge. If it pulls back, I'd even consider adding more because my goal is long-term stability rather than trying to time the top. So whil

$Palantir Technologies Inc.(PLTR)$   When I see Palantir dropping 7% and heading toward that $160 gap, I don't panic — I actually view it as a healthy reset. Gap fills are common after strong earnings rallies, and Palantir has always been a stock that moves in sharp waves rather than smooth trends. So a pullback into the previous gap doesn't change my long-term conviction. If the price really dips to around $160, I would see that level as a logical technical support and a place where I'd seriously consider adding. It's where sentiment often resets, and historically Palantir tends to attract strong buying interest after overreactions. For me, that area offers a better risk-reward than chasing strength. But I don'

When I see Bridgewater cutting 65% of its Nvidia $NVIDIA Corp(NVDA)$  position right before earnings, I don't immediately jump to the conclusion that Nvidia is "doomed." Big funds rebalance for many reasons—portfolio concentration, risk control, quarter-end window dressing, or simply locking in huge gains after a historic AI rally. Nvidia's long-term fundamentals haven't changed overnight, so I don't interpret this single move as a collapse signal. I also don't assume institutions have exclusive early access to information about an "AI bubble." What they do have is stricter risk limits and a shorter performance cycle—they may reduce exposure ahead of volatility simply because they can't afford a big drawdown. Th

When the AP cash arrives this December, I'm not planning to splurge it immediately. Even though the payout feels like a bonus, I still view it as part of my overall budget. So my first step is to check if I have any upcoming year-end expenses — travel, insurance renewals, or festive gatherings — that the cash can offset. Reducing financial stress is a perfectly valid use too. But if I don't need to spend it, I prefer to treat this AP money as "opportunity capital." Instead of letting it sit idle, I want it to work for me. At the very least, it should go into a high-yield savings account or fixed deposit to earn a guaranteed return while staying liquid for 2026. That said, my inclination is still to invest. A small lump sum like S$600 is perfect for topping up my existing positions rather t

With liquidity tightening, delayed federal spending, and rate-cut expectations fading, the selloff didn’t surprise me. A $1.2 trillion drop looks dramatic, but the market has been weakening for weeks, and the shift in Fed tone pushed sentiment over the edge. For now, I see this more as a needed reset than a full-blown panic. On individual names, I’m staying cautious. Tesla turning negative YTD doesn’t look like a buy yet, and many big tech names — Amazon, Meta, Palantir, Nvidia — are just starting to test key support. With Nvidia’s earnings next week and Burry set to release his AI-overvaluation thesis, volatility could easily continue. I’d rather watch the price action than jump in early. Overall, I’m choosing patience. These dips are tempting, but I want to see if support holds or if a

Between $CoreWeave, Inc.(CRWV)$ and $Circle Internet Corp.(CRCL)$ , I’m leaning more toward CoreWeave on this pullback. A 25% weekly drop feels oversold, especially since the earnings beat was solid and the selloff came mainly from a data center delay, not weakening demand. With a huge backlog and major clients like OpenAI and Meta, the long-term setup still looks strong to me. Circle’s decline is tied closely to Bitcoin dropping below $100,000, so its movement depends heavily on whether BTC can regain that level soon. With the stock now near its IPO price, it’s tempting, but it behaves more like a macro/crypto trade — strong if Bitcoin bounces, sluggish if the volatility continues. If I had to choose

For my retirement core, I keep it simple — I focus on $DBS(D05.SI)$ and $OCBC Bank(O39.SI)$ , the top two banks in Singapore. Both offer stability, strong earnings, and reliable dividends, which is exactly what I want for long-term planning. OCBC’s new highs and DBS’s consistent profitability make them easy picks for steady compounding. Between banks and REITs, I still lean toward banks as my foundation. REITs provide good cash flow, but DBS and OCBC have proven they can handle cycles, grow dividends, and stay resilient. They give me the long-term confidence I’m looking for without needing to monitor them closely. I hold them using CPF and cash — CPF for disciplined long-term growth, and cash for a

I expect $NVIDIA Corp(NVDA)$ to post another solid quarter, but with the stock already near record highs, a lot of optimism is priced in. AI demand remains strong, yet expectations are so elevated that even good results could trigger some profit-taking. My base case is a moderate ±5% move, with a slight lean toward a short-term pullback if guidance doesn’t exceed the hype. For my earnings play, I prefer a neutral-to-mildly-bearish setup. I’d use a bear call spread — selling a slightly OTM call and buying a higher strike to cap risk. This lets me collect premium while positioning for a “good but not amazing” reaction, especially with implied volatility already inflated before earnings. For the poll: A: No, I don’t think NVDA will close above $19

For me, Tesla's slide back into negative YTD territory doesn't change my long-term view — if anything, it reinforces how emotional the market can get around this stock. A drop of this size in a single session usually reflects shifting macro sentiment rather than a collapse in Tesla's actual fundamentals. So instead of reacting to the noise, I'm asking myself whether anything in Tesla's long-term roadmap — energy, AI, autonomy, margin recovery — has genuinely broken. So far, I don't see that. $Tesla Motors(TSLA)$  $Direxion Daily TSLA Bull 1.5X Shares(TSLL)$  $GraniteShares 2x Long TSLA Daily ETF(

Honestly, when I see a sudden broad-based sell-off like this — tech sliding, rate-cut odds shrinking, and names like Tesla and Palantir dropping 7% — my first reaction isn't panic. It's to step back and ask whether the fundamentals of my long-term positions have actually changed. Most of the time, the answer is no. These kinds of "mini Black Friday" moments happen when macro sentiment shifts abruptly, not because every company suddenly became 7–14% worse overnight. For stocks I already believe in — the ones I've researched and planned entry levels for — a sharp dip actually gets my attention. But I still won't buy blindly. I look for whether the pullback is simply fear-driven or whether new fundamental risks have emerged. If it's just the market reacting emotionally to rate expectations, t

I absolutely believe in long-term investing. Buffett’s punch-card idea always reminds me that every decision should be intentional, not emotional. The fewer decisions I make, the more carefully I evaluate each one — and that mindset keeps me focused on sustainable growth instead of chasing short-term hype. If I had only 20 punches, I think I’ve used a handful so far on businesses I genuinely understand and believe in. Companies like Tesla and Palantir are part of that list — not because they’re “hot,” but because I see long-term potential in their technology, execution, and the markets they’re shaping. I’d hold them through volatility as long as their fundamentals and long-range trajectory stay intact. To me, long-term investing is about patience, conviction, and letting compounding do th

First, I'm optimistic about Alibaba's AI push. $Alibaba(09988)$  $Alibaba(BABA)$ The company is revamping its "Tongyi" app and positioning the upgraded "Qwen" model to directly take on leading global chatbots. What stands out to me is that Alibaba isn't just building a model — it's integrating AI into its e-commerce ecosystem, especially on Taobao. This shift toward agent-style AI for consumers could finally give Alibaba a more visible AI monetisation path, which the market has been waiting for. However, I'm still cautious about assuming this alone will send the stock back to $190. Execution risk is real: Alibaba still trails some local c

I’m not a Singaporean citizen, so I’m not entitled to receive the Assurance Package payout. But if I were eligible, I’d definitely put that money to work rather than spend it. To me, even a small sum like S$600 can grow meaningfully over time if invested wisely — it’s all about mindset and consistency. If I received the payout, I’d likely allocate it toward investments such as S-REITs, T-bills, or even add to my existing ETF portfolio. These options strike a good balance between stability and steady returns, especially in today’s uncertain environment. The goal would be to turn a one-off payout into a small but growing income stream. That said, I’d also view it as an opportunity to practice disciplined investing — treating it not as “free money” but as capital that deserves thoughtful all