My 2027 comeback pick would be Adobe (ADBE). Unlike some beaten-down stocks where the decline reflects weakening fundamentals, Adobe still owns a powerful ecosystem across Photoshop, Illustrator, Acrobat and enterprise creative workflows. The biggest concern is whether generative AI disrupts that moat, but I think AI could also strengthen it if Adobe successfully monetises Firefly and embeds AI deeper into products customers already use. What attracts me after the sell-off is the combination of recurring revenue, strong cash generation and a valuation that has compressed significantly from its former premium. I would watch AI-related revenue growth, Creative Cloud retention and margins closely. If those remain healthy, the market may eventually realise that AI is not only a threat to Adob

I would pick power-generation and electrical-grid infrastructure for the strongest long-term potential. Semiconductors remain essential to AI, but chip demand is more exposed to technology cycles, competition and rapidly changing architectures. Power is a harder constraint. More AI data centres mean more generation capacity, transformers, switchgear, transmission infrastructure and grid connections, regardless of which chipmaker ultimately wins. The interesting part is that this demand extends beyond AI. Electrification, EVs, manufacturing and ageing grids also require substantial investment, giving the power theme multiple structural drivers. I would still keep semiconductor exposure, but for a longer-term infrastructure play, I think the less glamorous bottleneck of supplying and delive

I see this as a potential buying opportunity, but not a reason to rush in. The key question is whether AI spending eventually translates into stronger revenue, margins and free cash flow. If earnings continue to justify the investment while valuations reset, quality technology stocks become more attractive. I would prefer staying invested and adding gradually rather than using inverse ETFs as a long-term hedge. Inverse ETFs can be useful tactically, but daily rebalancing and volatility can make them difficult to hold for extended periods. I am watching semiconductor earnings, AI capex guidance, Treasury yields and free-cash-flow trends. If earnings estimates start falling alongside continued high AI spending, I would become more cautious. Otherwise, a valuation-driven correction could ult

The biggest takeaway for me is that a good process matters more than whether one individual trade wins or loses. I especially agree with the idea of reading the full chart before looking for candlestick patterns. A bullish signal means much less if it appears against the higher-timeframe trend or directly below major resistance. I would rather miss an opportunity than enter simply because a familiar pattern appears. The fourth lesson is probably the hardest in practice: accepting that a rejected trade can still rally afterwards without making the original decision wrong. Judging every decision by its eventual P&L encourages FOMO and gradually destroys discipline. For me, the ideal sequence is: trend → support/resistance → volume → multi-timeframe confirmation → entry signal → risk man

D. Wait for confirmation. After such a sharp move, I would rather see whether earnings, Treasury yields and fund flows confirm a genuine change in trend before chasing either the sell-off or rebound. AI and semiconductor valuations remain demanding, but strong earnings and cash-flow growth could quickly restore confidence. I am watching semiconductor ETFs most closely, particularly SOXX. If chip earnings remain resilient while Treasury yields stabilise and institutional flows return, I would view the correction as a potential opportunity. If yields keep rising and earnings expectations weaken, there could still be more downside ahead.

I think the S-REIT rebound is becoming more interesting, but I would still be selective rather than treat it as a broad sector recovery. Lower financing costs can provide a tailwind, but the more important test for 2027 is whether REITs can deliver sustainable DPU growth through positive rental reversions, high occupancy and disciplined capital recycling. Rate cuts alone cannot fix weak assets or leasing problems. I would favour REITs with visible demand drivers, such as data centres, well-located commercial assets and suburban retail. Keppel DC REIT and FCT are particularly interesting to watch for different reasons. For the more challenged names, I would want to see occupancy and tenant replacement improve before becoming more confident. Ultimately, the strongest S-REITs should be those

I think stronger cash generation from AI companies would reverse the defensive rotation first. Cheaper funding can lift valuations, and lower oil can ease inflation pressure, but neither directly answers the market’s biggest concern: whether massive AI spending can generate sufficient returns. If major AI players show accelerating free cash flow, improving margins and clear monetisation from their AI investments, investors would have a stronger reason to rotate back into growth and tech. That would turn the AI story from “expensive promise” into demonstrated earnings power. Cheaper funding would probably amplify that move, but stronger cash generation is the catalyst I would watch first.

My pick is IBM for the first bounce. Unlike some of the other post-earnings sell-offs, IBM’s fundamentals still look fairly solid. Revenue grew 5%, software grew 8%, and management raised its full-year free-cash-flow outlook. That makes the drop look more like high expectations being reset than the investment thesis breaking. Lam Research also delivered strong numbers, but semiconductor sentiment is currently fragile and its outlook was not strong enough to satisfy elevated AI expectations. Tesla has much greater upside potential, but its valuation and heavy AI/robotics spending make its recovery more dependent on sentiment. AT&T is steadier, but probably lacks the catalyst for a sharp rebound. So for me: IBM first for probability of recovery, Tesla for biggest potential rebound if ri

One defensive rally does not make a regime change. For me, confirmation would require persistence, breadth and fundamentals. I would want to see defensives outperform tech for several weeks, not just during sharp risk-off sessions. More importantly, PG, KO, LLY, WMT and Berkshire should continue showing relative strength even when the broader market rebounds. That would suggest investors are deliberately reallocating capital rather than temporarily hiding from volatility. Earnings also matter. If defensive companies deliver resilient earnings and guidance while highly valued AI names face slowing growth or further multiple compression, the rotation has a fundamental reason to continue. Berkshire is worth watching as a signal too. If its huge cash pile continues moving into buybacks, acquis

One strong day is not enough to call this a lasting rotation. I would look for persistence and breadth. If staples, healthcare and other defensive sectors continue outperforming for several weeks, while tech repeatedly fails to regain leadership, that would be much more convincing. We are already seeing some persistence: consumer staples gained about 5% last week while technology fell sharply. I would also watch earnings revisions and valuations. A genuine shift should be supported by stable or improving earnings expectations for defensives, rather than investors simply paying higher multiples for safety. Berkshire is particularly interesting. Its cash and Treasury holdings were about US$359B at end-Q2, but it has restarted sizeable buybacks and deployed capital into equities and acquisiti

C. Tesla’s earnings and Robotaxi execution. SpaceX AI computing and Starlink could become enormous businesses, while a Tesla-SpaceX merger would reshape the whole Musk ecosystem. But Tesla’s Robotaxi execution is the biggest near-term test because expectations are already embedded in its valuation. If Robotaxi can scale safely, gain regulatory acceptance and demonstrate attractive unit economics, Tesla has a credible path beyond being primarily an EV manufacturer. If execution repeatedly falls short, investors may start questioning how much of Tesla’s future AI and autonomy potential should be priced in today. For me, actual Robotaxi deployment matters more than another ambitious announcement. Execution is what turns the narrative into cash flow.

That 50% threshold makes me much less willing to call the Tesla-SpaceX merger a done deal. It is not 50% of votes cast, but 50% of ALL Tesla shares, meaning abstentions and shareholders who simply do not vote effectively make the hurdle harder to clear. Musk himself called it “quite a high hurdle”, while the independent committees have not even agreed on transaction terms yet. I think the deal is credible and clearly being explored seriously, but “inevitable” is too strong. The eventual valuation and exchange ratio will be crucial. If Tesla shareholders feel they are giving SpaceX too generous a valuation, even investors who like the strategic AI, robotics and infrastructure synergies could reject it. For me: serious possibility, yes. Certainty, definitely not yet.

@D1ane’s view matches mine most closely. Strong headline profits are encouraging, but for banks I care more about what remains after credit losses, provisions and operating costs are accounted for. NIM can benefit from the rate environment, but that advantage can fade. Likewise, Berkshire trimming BAC is worth watching, but I would not treat another investor’s positioning as sufficient reason to change my own thesis. I would become more bullish if banks show resilient loan quality, controlled expenses and sustainable earnings growth without relying heavily on favourable rates. Conversely, a clear rise in delinquencies and credit losses would concern me even if headline earnings continue beating estimates. For me, asset quality and sustainable profitability beat the headline number.

My vote: D, down 5%-10%. Netflix remains a strong business, but earnings reactions are often about expectations rather than whether the company is doing well. With the market already pricing in continued subscriber, advertising and margin growth, weaker-than-expected guidance could outweigh a solid quarter. If I owned $Netflix(NFLX)$, I would hold rather than buy more ahead of earnings. I would want to see whether advertising growth, operating margins and future revenue guidance justify the valuation before adding. Netflix can still deliver strong long-term growth, but at elevated expectations, even a small disappointment can produce a surprisingly large reaction. My prediction: good business, demanding expectations, -5% to -10% af

My vote: B, up 3%-8%. Meta enters earnings with high expectations, so simply beating estimates may not be enough. I think the biggest drivers will be ad revenue growth, AI-driven improvements in engagement and advertising efficiency, and management’s outlook for AI spending. I would hold rather than aggressively buy before earnings. Meta’s AI investments appear increasingly tied to its core advertising engine, but rising capex remains a key risk. If earnings show that AI spending is translating into faster revenue and profit growth, I would be more comfortable adding after the results. A huge +8% move needs a major surprise. My base case is a solid report and a more moderate positive reaction.

My pick is PTC Therapeutics for the best balance of growth and risk. Belite Bio has an exciting near-term FDA catalyst, while Trevi Therapeutics and COMPASS Pathways could offer substantial long-term upside if their pipelines succeed. However, these opportunities carry greater clinical and regulatory risk. PTC already has commercial products and growing revenue, giving investors clearer fundamentals to evaluate. I would watch whether sales growth translates into stronger margins and cash flow. Belite may have greater short-term upside on a positive FDA decision, but for the most compelling overall investment case, I prefer PTC’s combination of commercial traction and future growth potential.

I would choose B: Perfect Exit. Buying at the absolute bottom would be amazing, but I do not think a perfect entry is necessary to make a good investment. If the fundamentals are strong, buying reasonably close to the bottom can still produce excellent returns. Knowing the exact top seems far more valuable. It eliminates one of the hardest decisions in investing: deciding when optimism has gone too far. I could let winners run without worrying about selling too early, then exit before the reversal. My worst attempts at market timing usually come from waiting for an even better entry. Sometimes the market rebounds before my target is reached, and I end up buying higher or missing the opportunity altogether. So definitely B for me. I can tolerate an imperfect entry, but give me the perfect

My vote: B. Micron ($MU). Nvidia remains the strongest AI leader, but expectations are already extremely high. For a continued rebound, I think Micron offers an interesting combination of HBM growth and a broader memory-cycle recovery. AI servers require significantly more high-performance memory, so expanding HBM demand could support Micron’s revenue and margins. At the same time, stronger DRAM pricing would provide another earnings tailwind beyond HBM alone. The main risk is that memory remains cyclical. If competitors add capacity too aggressively, pricing could weaken again. But if HBM demand stays strong while conventional memory supply remains disciplined, Micron could still have meaningful earnings upside. For rebound potential rather than simply picking the strongest company, my c

If I could own only one for the next year, I would pick SpaceX. Tesla still has significant upside if autonomy and robotaxi execution accelerate, but expectations are already extremely high and its core automotive business faces intense competition. Over a one-year horizon, that makes execution risk particularly important. SpaceX appeals to me because it has multiple growth engines. Starlink, aerospace and the rapidly expanding AI business provide greater diversification, while rising global demand for connectivity, space infrastructure and AI compute could support further earnings growth. The key risk is valuation. Exceptional growth does not automatically make a stock attractive at any price. I would want to see revenue growth translate into sustainable margins and cash flow. Between th

I would pick electrical-grid construction for the strongest long-term potential. Semiconductors remain essential to AI, but expectations and valuations are already high, while rapid technology cycles create competitive risk. Power-generation equipment should also benefit, but demand can be more dependent on individual projects and capacity additions. Grid infrastructure looks like a broader bottleneck. AI data centres require enormous amounts of reliable electricity, and that means more substations, transmission lines, transformers and grid connections. Importantly, these investments can benefit not only AI but also electrification and general growth in power demand. Companies such as Quanta Services therefore interest me as a “picks and shovels” approach to the AI build-out. I would stil