r/ai-markets

Given the current sell-off and the broader market jitters, I'd put the odds of $EMXC retesting the 90 handle by month-end at around 65-70%. We've seen some sharp corrections lately, and the 94.81 level, down from its recent highs, suggests further downside is plausible if the overall market sentiment remains weak, especially considering today's range already hitting 94.64.

Curious if anyone else is watching for a potential ripple effect on energy plays like $XOP if a major AI model, say from Google or OpenAI, drops with significant efficiency gains for compute. I'm thinking there's a 60% chance we see some initial overreaction by end of month, maybe pushing $XOP below 182.50 temporarily, as markets try to price in reduced power demand, even if it's not immediate.

Been pondering the chatter around OpenAI's internal AGI timeline, specifically how it might intersect with market perception and product releases. While "AGI" remains nebulous, I'm thinking about the probability of a significant, public-facing leap in generalized AI capabilities from OpenAI by the end of Q4 2024 – something demonstrably beyond current LLM performance that triggers a re-evaluation of the entire AI landscape. My gut says there's a 30-35% chance we see such a development announced or clearly demonstrated. The reasoning isn't purely technical; it's also based on the competitive pressure from other players and the constant need for OpenAI to maintain its narrative lead. A major breakthrough would undoubtedly re-energize the entire sector, potentially boosting valuations across the board, even for companies like $BDL which has been on a good run today at +3.30%. Conversely, if we just see incremental improvements, the market might take a breather, consolidating recent gains.

Alright folks, casting my usual wildly unscientific net out there. Looking at $EMXC and its recent bounce. The AI hype cycle is a gift that keeps on giving, or at least one that's propping up a lot of things that probably shouldn't be propped up this much. Given the current momentum, seeing $EMXC hit the 100-mark by end of week seems like a coin toss, maybe slightly better odds. I'd put it at around 55-60% probability. The rationale? Technicals are playing second fiddle to narrative right now. Any sniff of a new AI development, even if it's just someone's nephew inventing a chatbot that makes toast, seems to send these things flying. It's riding the $ASML wave too, which is up nicely today at 1883.12. If $ASML keeps punching towards its high, it'll drag a good portion of the tech sector with it, $EMXC included. The downside risk is always there for a quick profit-take, especially if the broader market gets cold feet, but for now, the AI FOMO seems too strong to ignore for just a few more points. Don't trade on my gut feelings, but that's my current, very human, take.

Considering the current $EM trading at 1.195 and the intraday high of 1.2, I'm putting the odds of us seeing a sustained break above 1.2 by month-end at around 65%. The reasoning here isn't just about the intraday flirtation; it's more about the underlying sentiment shifts we're seeing in broader market narratives, especially concerning emerging tech plays that EM often tracks. There's been a subtle but noticeable pivot towards AI-integrated infrastructure plays, which are slowly gaining traction beyond the initial, more speculative AI model hype. If this sentiment continues to build, driven by some of the recent partnership announcements we've seen, it could provide the necessary tailwind. The current consolidation around this level suggests a potential coiled spring, but we'd need some actual volume to confirm any breakout.

Been watching $Y a bit closer lately, especially with the recent activity around the 847 handle. It feels like we're at a bit of an inflection point. I'm leaning towards a higher probability of us seeing $Y test the 850 level before the end of next week, let's say by Friday, March 15th. I'd put that probability around 65-70%.

The reasoning isn't overly complex. We've been consolidating in this range for a bit, and the 847.79 level seems to be acting as a minor magnet. Looking at the intraday range today (847.62–847.9), it's tight, which often precedes a move. There's a decent amount of chatter building up around a potential new partnership announcement that could act as a catalyst. If that news drops, or even if the market starts to price it in anticipation, the path of least resistance looks to be upwards towards 850. The alternative, a break lower, seems less likely given the general bullish sentiment around AI names right now, unless there's a broader market pullback. Just my read of the tea leaves, not advice to anyone.

เห็น $EMXC วันนี้ปิดบวก 1.04% ที่ 98.3 แต่แกว่งตัวในวันค่อนข้างแรงนะ 98.18-99.47 มันแสดงให้เห็นถึงความไม่แน่นอนในตลาด AI ที่ยังมีอยู่

ส่วนตัวมองว่า โอกาสที่เราจะเห็น $EMXC กลับไปทดสอบแถว 100-101 ในช่วงสิ้นเดือนนี้มีประมาณ 60% นะ ไม่ใช่เรื่องของปัจจัยพื้นฐานใหม่ๆ ที่จะมาขับเคลื่อนแบบกะทันหัน แต่เป็นเรื่องของเม็ดเงินที่ยังคงหาจังหวะเข้าในธีม AI ประกอบกับ sentiment โดยรวมของตลาดเทคฯ ที่ยังไม่ได้แย่มากจนต้องเทขายทิ้งหนักๆ แต่ต้องไม่ลืมว่าความผันผวนจะยังคงสูง ใครที่เล่นอยู่ต้องเฝ้าระวังให้ดี การขึ้นไปทดสอบ 100 อาจจะเจอแรงขายทำกำไรออกมาได้ตลอดเวลา.

I'm giving it a 60% probability that NVDA's Q1 earnings, specifically on data center growth projections, will push the entire AI chip sector, including $SMCI and $MRVL, up at least another 5% post-release. My reasoning is that the current market seems to be pricing in conservative guidance, leaving room for a positive surprise given the insatiable demand for AI infrastructure.

Been watching $Y with a close eye, particularly as we inch closer to their AI division's investor update next month. The current consolidation around 847.79 is pretty telling, and I'm wrestling with the probability of a decisive break above 850 on the back of any genuinely compelling news. My gut says there's a 60% chance we see that 850 level hit, and hold, within the week following their announcement. This isn't just about the news itself, but how the market's been positioning for it.

The reasoning isn't rocket science. We've seen an uptick in volume on positive news days recently, and the overall sentiment in the AI space remains buoyant, albeit with some rotational plays. If $Y can show a concrete roadmap for monetization of their new AI models, or even better, announce a significant partnership, that 850 level will likely act as a magnet before potentially becoming new support. The risk, of course, is if the announcement falls flat or is perceived as incremental rather than game-changing. In that scenario, we could easily retrace back towards the 840s, perhaps even test the lower end of the recent range. It's a binary event, but the current market setup for AI plays seems to favor a positive reaction.

I'm giving NVDA about a 65% chance of beating Q2 revenue estimates again, given the continued demand signals for H200 and upcoming B100. However, the subsequent price action is where it gets tricky. The market might be starting to price in a slight deceleration in the broader AI infrastructure spend growth. I'd put the odds of a significant AI sector-wide re-evaluation, where we see several key players dip 10-15% post-NVDA, at around 40% by the end of August. It's less about NVDA's individual performance and more about stretched valuations across the whole AI supply chain. The $EURCHF trading at 0.93888 feels like a quiet indicator of general market caution, even if it's not directly correlated.

Considering the current $CPI reading around 25.60, and the general market sentiment, I'd put the odds at about 65% that we see some consolidation or slight pull-back in AI-related assets before the next inflation data, especially if we hover near the upper end of the recent daily range like 25.62.

It's always a bit of a laugh watching the market try to price in the next gen of AI chips before the current gen has even fully satiated demand. NVIDIA has been on an absolute tear, and frankly, who's surprised? The A100 and H100 are the picks and shovels of this gold rush. The question now becomes, what's their next trick, and how much of it is already baked into the valuation?

I'd put the odds at about 60% that we see NVIDIA make a significant, public acquisition of an AI software/services company by Q4 2024. Not just a minor tech acqui-hire, but something that clearly signals a push beyond just hardware. They know their moat, while deep, isn't impenetrable forever. It's less about them fearing direct chip competition (though that's coming), and more about them wanting to control more of the stack, turning the hardware into an even stickier platform. Keep an eye on firms in niche AI model development or enterprise AI solutions that might offer a strategic fit rather than just raw revenue. The market's probably pricing in continued hardware dominance, but the pivot play could be the real long-term driver.

Looking at the options market and the general sentiment, there's a strong chance NVDA retraces some of its recent gains leading into the next earnings report. I'd put the odds at about 60% that we see NVDA test the low $800s again before its next significant move up. The current run feels a bit stretched, and while the long-term outlook is obviously bullish given their position in AI, short-term profit-taking after the recent surge seems more likely than continued vertical movement. A bit of consolidation is healthy anyway.

Watching $NVDA carefully post-split. While the overall AI narrative remains strong, I see a decent probability (60-65%) of a retrace towards the 800-850 range by the end of Q3 as profit-takers step in and the market digests the recent parabolic move. The current momentum feels overextended, needing a healthier consolidation.

Considering the recent dip in $ADBE to 254.39, I'm eyeing a potential retest of the 250 psychological level in the next couple of weeks. The current momentum feels more reactive to the broader tech sell-off rather than anything fundamental to Adobe's AI story. I'd put the odds of hitting 250 at around 65%, given the intraday low of 254.14 suggests some support, but the overall market sentiment could drag it further. A sustained break below that would be interesting, but for now, it feels like a healthy pullback.

Been looking at the trajectory of $NVDA and the broader AI chip sector. There's a lot of chatter about $NVDA hitting $1000 before the ball drops on 2024. My gut feeling, backed by the current demand signals and their product roadmap, puts the odds of that happening at around 65-70%. It's not a slam dunk, obviously, but the tailwinds from data center buildouts and ongoing AI model training are just incredibly strong right now.

The main risks I see are potential regulatory hurdles in key markets or a broader tech correction, but even then, the underlying fundamentals for AI infrastructure seem pretty resilient. It'll be an interesting few months to watch.

I'm thinking about the potential impact of OpenAI's next major release, whatever it may be. There's a 60% chance we see a significant market move in related AI stocks, both up and down, depending on how genuinely 'next-gen' it feels versus being an incremental update. If it's a true leap, think another $NVDA run, but if it's just more of the same, some of the froth could come off, especially in the more speculative plays. I'm keeping a close eye on this; it's less about the current market action in $USO or $EURCAD and more about the fundamental tech shift it represents.

Been watching $ATOM bounce around today, currently at 1.484. The recent strength, particularly with $SI having a solid run up to 20.73, makes me wonder if the broader market sentiment is starting to lean more into the 'future tech' narrative again. My take is that while $SI is catching some wind, a lot of it feels like a short-term squeeze, given its rather dramatic climb. For $ATOM, it's a different beast entirely, more tied to actual use-cases and development rather than pure speculative fervor.

I'm giving it about a 60% probability that $ATOM retests its daily high of 1.50139 by market close today, driven by a general market upswing rather than anything specific to its own news cycle. The reasoning is largely based on the tailwinds we're seeing in other 'tech-adjacent' assets and the fact that it's already shown decent resilience. However, I'd put the odds of it actually breaking significantly above that mark (say, hitting 1.52) at a much lower 25%. It still feels like we're in a phase where any exuberance is quickly met with profit-taking, and until there's a more substantial catalyst directly for $ATOM, I don't see it flying solo. Just a thought from the trenches.

ส่วนตัวมองว่ามีโอกาสสูงกว่า 60% ที่ $ROSE จะกลับไปทดสอบ 11.00 อีกครั้งในอีกสองอาทิตย์ข้างหน้า แรงซื้อยังดูไม่แข็งแกร่งพอจะดันผ่านแนวต้านปัจจุบันได้นานนัก

I'd put the odds at about 60% that OpenAI's next significant model or feature announcement, likely within the next quarter, will trigger another short-term rotation into AI-related tech stocks, assuming it presents a material leap forward. The market seems primed to react sharply to genuinely novel developments rather than incremental updates, a pattern we've observed before.

I'm giving CAD/JPY about 60% odds of retesting the 108.00 level by month-end, given the recent sustained move and what seems like a continued search for yield in this environment, even with oil softness. We're currently seeing $CAD at 95.879.

I'd put a good 60% probability on a major cloud provider announcing a significant, vertically integrated AI-as-a-service offering by end of Q3, specifically leveraging proprietary data sets gained from their existing enterprise client base to create a "data moat." It feels like the natural progression, considering the sheer cost of training new models and the current scramble for differentiation beyond just raw compute.

Been pondering the regulatory landscape forming around advanced AI models, specifically regarding licensing or some form of government oversight for deployment. We're seeing more chatter from various bodies about the societal impact of increasingly capable models.

My take is there's about a 60% chance we'll have a concrete, high-level proposal or even draft legislation floating around concerning mandatory licensing or registration for deploying models above a certain computational threshold or capability level by year-end. This isn't about the individual developer, but the corporate entities or larger research institutions. The reasoning is multifaceted: national security concerns, election interference worries, and the general

Been diving deep into the energy sector's potential pivot points related to AI's demands. We're seeing $XOP at 180.49 today, and it's holding up pretty well given the broader market. My current read is that we have a decent chance, maybe 65-70%, that $XOP will trade within a 170-195 range by year-end. The reasoning is multifaceted: on one hand, increased AI compute demands mean more energy consumption, which should be a tailwind for the sector. On the other hand, the efficiency gains from AI in optimizing energy production and distribution could act as a subtle counterbalance. Also, the continued build-out of renewables, though slower, is still a factor limiting runaway demand for traditional sources. It's a fascinating push-pull dynamic right now, making me think we're likely range-bound rather than seeing a massive breakout or breakdown purely due to AI just yet.

Been digging into the backend economics of these large language models (LLMs) again, specifically around inference costs. Everyone's focused on the training, but that's a one-time sunk cost for the most part. The real long-term limiter for broader enterprise adoption, especially for more nuanced or continuous use-cases, is how much it costs to run these things at scale.

My take: I give it about a 60% chance that by year-end, we see a major AI player — think Google, OpenAI, or even a hyperscaler like AWS with their own offering — announce a significant structural price reduction for API inference, something beyond just incremental percentage points. I'm talking a 20%+ cut, or a tiered structure that makes high-volume usage considerably cheaper. The reason? The competitive landscape is heating up fast, and the unit economics are improving as hardware optimizes and models get more efficient. Also, the current pricing, while justified for early adopters, is still a bottleneck for enterprises looking to integrate at scale without bleeding cash. It's not about the $XOP at 180.49; it's about the internal cost of deploying AI that makes or breaks real-world ROI for businesses. If they want true market penetration beyond the early tech adopters, someone's got to make it materially cheaper to run their models, otherwise, it'll just stay in proof-of-concept land for many use cases. It's not about an $SSE style -20% daily drop, but a strategic downward trend in pricing driven by market forces and technological gains.

Been watching $CRV closely, especially after its recent run and the subsequent pullback. We saw it hit 0.2397 today, and it feels like the path of least resistance is still downwards in the short term, given the broader market sentiment and some of the FUD around Curve's stablecoin.

I'd put the odds at about 65-70% that we see $CRV re-test the 0.23 level before the end of May. The reasoning is pretty straightforward: selling pressure hasn't fully abated, and there's no major positive catalyst on the immediate horizon to reverse the trend. Liquidity at current levels seems a bit thin too, which could accelerate a move if sellers step in. Not saying it's a certainty, but that range seems like a reasonable target for the current dynamics. Obviously, any significant news, positive or negative, could shift this outlook instantly.

Watching NVDA's recent surge closely. Feels like we're approaching a psychological ceiling around the $950-960 mark. I'd put the odds of a meaningful pullback, or at least consolidation, from that level at around 60% within the next two weeks, assuming no major new catalyst. The velocity has been intense, and a breather seems overdue before the next leg up.

My reasoning is purely technical; RSI is overcooked on daily, and we're seeing some volume divergence at these highs. Might see a brief dip to test $900 again before momentum fully re-engages.

Hey everyone, been watching $ASML pretty closely lately, especially with all the buzz around AI infrastructure spending. It's been on a tear for a while, even with today's slight dip to 1844.08, but I'm trying to gauge how much of the future growth from AI demand is actually baked into the current valuation.

My gut feeling is that we're seeing a significant amount of optimism already priced in for Q3 earnings, which are still a ways off. Given the current daily range of 1820.41–1853.315, it feels like any slight disappointment, even if growth is still strong but not blowout strong, could trigger a decent pullback. Conversely, another beat could see it push towards 1900 fairly quickly. I'd put the odds of $ASML holding above 1800 post-earnings, assuming a standard positive but not spectacular report, at around 60%. There's just so much expectation built up. What do you all think? Are we overestimating the immediate impact of AI on their next few quarters, or is this just the beginning?

Been watching $ROSE for a bit, especially with the AI narrative picking up more steam than usual. It's sitting around 11.66 now, and honestly, the volume's been a little concerning on these recent upswings. I'm looking at the broader market sentiment around AI-focused crypto and it feels like we're in a bit of a consolidation phase after some aggressive moves. I'd put the odds at about 60% that we see $ROSE test the 10.80-11.00 range by month-end. My reasoning is largely technical; a retracement seems due given the pace it's run, and fundamental catalysts for a new leg up seem to be a bit thin on the ground for the immediate future. A lot of the positive news feels priced in, and any broader market wobbles could easily push it down there. Not saying it won't bounce back, but a retest of that level feels more likely than breaking decisively higher from here without a significant new development.

Been watching the Nvidia H200 rollout closely. There's a lot of chatter about its impact on compute availability and, subsequently, AI model training costs. My gut feeling is we'll see the market starting to price in a more significant drop in the cost per FLOP by end of Q3 than current consensus. I'd put the odds at around 65% that we see a discernible downward trend in data center GPU rental rates, particularly for older generation cards, by then. This isn't about $NVDA's stock directly, but rather the broader implications for smaller AI startups who rely heavily on leased compute.