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Company NameCORE16 Inc.
CEODavid Cho
Business Registration Number762-81-03235
Address83, Uisadang-daero, Yeongdeungpo-gu, Seoul, 07325, Republic of KOREA
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SellSmartR
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12 hours ago
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When Nvidia Rises 4%, This AI Big Tech Gains 8%?
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Neutral
Neutral
BABA
Alibaba Group Holding ADR Representing 8
user
SellSmartR
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12 hours ago
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When Nvidia Rises 4%, This AI Big Tech Gains 8%?
Yesterday (15th), the S&P 500 and Dow Jones declined, but the Nasdaq reached a record high. The gain was largely driven by Nvidia, which rose 4% after the U.S. government approved resumed chip sales to China, boosting the broader tech sector. Interestingly, as Nvidia gained 4%, one Big Tech company jumped even higher—8%.One-Week Snapshot: China's AI GiantsAlibaba ADR (BABA) rose approximately 8.1% yesterday (15th). It wasn't alone—other U.S.-listed Chinese tech giants, including Tencent (TCEHY) and Baidu (BIDU), joined the surge. The common denominator? AI. At SellSmart, we're focused specifically on Alibaba. Why Alibaba? Globally recognized for e-commerce platforms like Taobao and AliExpress, Alibaba’s primary growth drivers—often overlooked by investors—are AI and cloud computing. Alibaba recently announced plans to invest approximately 380 billion yuan (around $53 billion) into cloud and AI infrastructure over the next three years, strategically expanding beyond e-commerce into logistics and fintech. In March, Alibaba released its open-source chatbot "QwQ-32B," followed in June by "Qwen VLo," a multimodal AI model enabling image generation—clear signals of aggressive moves into AI innovation.Year-to-Date Returns for China’s Big Tech AI TrioThe standout from Alibaba's Q1 2025 earnings was its rapidly growing Cloud Intelligence segment. Revenue jumped 18% year-over-year to 30.13 billion yuan, surpassing market expectations (29.9 billion yuan). Most notably, AI-driven revenue maintained triple-digit growth for the seventh consecutive quarter, underscoring Alibaba’s accelerating competitiveness in AI infrastructure and solutions. While overall revenue slightly missed forecasts—totaling 236.45 billion yuan versus 239.7 billion expected—adjusted EBITA came in strong at 32.62 billion yuan, exceeding market consensus (31.85 billion yuan). Momentum: Expanding AI ecosystem through collaboration with AppleApple needs AI capabilities to remain competitive in China but can only integrate AI approved by Chinese regulators into its "Apple Intelligence" ecosystem. On June 16, just four months after announcing their partnership, Alibaba released its Qwen-3 model optimized for Apple’s MLX machine learning framework. This positions Alibaba’s Qwen-3 to expand its AI footprint across China’s entire Apple ecosystem—including iPhones, iPads, and MacBooks. What is Qwen-3?Qwen-3, announced on April 29 this year, is Alibaba’s latest large language model (LLM).Its largest variant, Qwen-3-235B, outperformed models such as OpenAI’s o1, o3-mini-medium, DeepSeek R1, and Grok 3-Thinking in benchmark tests.The smaller Qwen-3 30B-A3B model demonstrated benchmark performance surpassing Gemma3, Deepseek-v3, and GPT-4o.Trained on roughly 36 trillion tokens and supporting 119 languages, Qwen-3 leverages a hybrid thinking mode—carefully processing complex tasks for greater accuracy, and rapidly responding to simpler queries, significantly boosting efficiency. Expanding Cloud InfrastructureChina's cloud infrastructure services are dominated by Alibaba, Huawei, and Tencent, holding market shares of 33%, 18%, and 10%, respectively. Alibaba’s cloud-related revenues grew by 15% year-over-year, while Tencent faced stagnation due to GPU supply constraints and internal prioritization of AI chips. Alibaba is expanding its regional infrastructure, opening its third data center in Malaysia in early July, with plans to launch a second data center in the Philippines by October—addressing growing AI demand across Southeast Asia. Wrapping UpThe resumed exports of Nvidia’s H20 chips to China present a pivotal momentum boost for Alibaba, which is strategically centering its growth around AI and cloud infrastructure. With Qwen-3 now integrated into Apple's ecosystem, Alibaba is positioned to gain significant ground in China's AI leadership race. In an environment marked by technological regulation and geopolitical tension, Alibaba’s dual focus on strong financial results and global partnerships makes it a company to watch closely.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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Neutral
Neutral
BABA
Alibaba Group Holding ADR Representing 8
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셀스마트 판다
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4 days ago
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K-Demon Hunters Goes Global — The Surprise Beneficiary? Nongshim
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Neutral
Neutral
072710
Nongshim Holdings
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셀스마트 판다
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4 days ago
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K-Demon Hunters Goes Global — The Surprise Beneficiary? Nongshim
There is a song trending on Spotify right nowThe OST tracks “Your Idol” and “Golden” from K-pop Demon Hunters are gaining serious attention.These songs ranked number 1 and 2 on Spotify’s US Daily Top Songs chartGolden entered the Billboard Hot 100 at number 23and the soundtrack album reached number 3 on the Billboard 200With this much buzz around the OST, it is natural for attention to turn to entertainment stocksBut the stock we are highlighting today is not HYBE or YGIt is the unexpected beneficiary—Nongshim HoldingsA global sensation that started with zero expectationsK-pop Demon Hunters, or KDHH, is an original animation produced by Sony Pictures. It follows the story of Huntress, a K-pop girl group trio—Lumi, Mira, and Joy—who moonlight as demon hunters behind the stage.Expectations were low before its release. In fact, close to zero.The premise—a Korean idol group created by a Japanese studio under American financing—reminded many of past Western attempts to mash up East Asian culture, often ending in failure.But once the film was released, the response was overwhelming.·        Charming character designs inspired by jakhodo art·        Detailed depictions of Korean food culture like ramen, gimbap, and hotteok·        An OST that captured the full spirit of K-pop·        Small cultural touches, like using tissue paper as a chopstick rest at restaurantsEven the subtlest details, instantly recognizable to Korean viewers, were faithfully portrayed.The result? Global fans praised it as “authentically Korean.”And the numbers followed:·        Ranked No. 1 globally in Netflix’s film category during its first week·        Hit No. 1 in 41 countries, including the US, Germany, and Thailand·        Dance moves from the film’s fictional idol group became real K-pop dance challengesThis led to a second wave of content spreading across platforms.Netflix and Sony were caught off guard by the success and scrambled to produce official merchandiseMeanwhile, a jakhodo-inspired badge from the National Museum of Korea sold out as an unofficial “fan good.”Nongshim Keeps Popping Up in K-Demon HuntersAs you watch the film, certain elements start to stand out.The spicy chips that lead character Joy eats look strikingly similar to Shrimp Crackers.The cup ramen eaten by Huntress members is branded “Dongshim” and features a large red character “Shin,” clearly reminiscent of Shin Ramyun. Even the instructions—“pour hot water and wait three minutes”—match the real product.Ahead of the film’s release, Netflix held a promotional event in New York City, handing out instant ramen to passersby.What makes this even more interesting is that Nongshim had no official PPL or sponsorship deal with K-pop Demon Hunters.The film’s global success has unintentionally delivered Nongshim a wave of free international exposure.K-Content? The Formula That Drives Real-World SalesThere have been past cases where K-content led directly to consumer spending.The 2020 Oscar-winning film Parasite is a prime example of K-content driving global consumption.The appearance of “Chapaguri” in the film caught international audiences by surprise. In the month following the film’s release, Nongshim’s overseas sales of Chapagetti more than doubled year over year, reaching approximately 1.5 million dollars.In March, BLACKPINK’s Jennie mentioned Banana Kick and Shrimp Crackers as her favorite snacks on The Jennifer Hudson Show. Just four days later, Nongshim’s market cap jumped by 260 billion KRW—an example of the “five-second magic” effect in action.This isn’t new. K-content has repeatedly influenced real consumer behavior abroad, translating into tangible gains in both revenue and stock price.K-pop Demon Hunters also features recurring elements that closely resemble Nongshim products, suggesting a similar ripple effect in global consumer markets may follow.Nongshim vs. Nongshim Holdings — Why the Real Play Is the Holding Company(This is Nongshim’s Instagram post from today, the 11th. Could it be hinting at a K-Demon Hunters collaboration?)Then why not just buy Nongshim directly? Why bother with Nongshim Holdings?Here’s why it matters.Recent momentum in the Korean stock market, fueled by this year’s amendment to the Commercial Act and the upcoming expansion of separate dividend taxation, has sparked a revaluation of low-PBR stocks. Holding companies have been leading that move.As the holding company of Nongshim, Nongshim Holdings reflects:·        The earnings and brand exposure benefits of Nongshim·        A currently low PBR·        A relatively high dividend yield·        And direct upside from policies aimed at improving holding company structuresThis is not just a case of “moving with the group.”Nongshim Holdings is a rare combination of undervaluation, dividend strength, and structure that aligns perfectly with what today’s market is rewarding most.In ClosingNetflix’s K-pop Demon Hunters delivered an unexpected global hit.Korean food products—especially Nongshim’s ramen and Shrimp Crackers—were naturally embedded in the content, building emotional familiarity and triggering consumer interest among international viewers.From Parasite in 2020, to Squid Game in 2021, and now K-pop Demon Hunters in 2025,K-content driving real-world consumption and stock price momentum is no longer a coincidence—it is a repeatable pattern.If you can’t invest in the content itself, why not ride the consumption trend it creates?Now is the time to take a closer look at Nongshim Holdings, the unexpected beneficiary.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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Neutral
Neutral
072710
Nongshim Holdings
user
셀스마트 앤지
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1 week ago
0
0
The Luxury Brand Gen Z Actually Buys—And It’s Not European
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Neutral
Neutral
TPR
Tapestry
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셀스마트 앤지
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1 week ago
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The Luxury Brand Gen Z Actually Buys—And It’s Not European
Tapestry’s Rebrand Is Outperforming the Luxury GiantsTapestry (ticker: TPR), best known for its Coach brand, is rewriting the rules of luxury—quietly outpacing legacy European players like LVMH and Kering.Coach’s transformation from “mom’s bag” to “my first luxury” is paying off. The company’s stock has climbed 32% in 2025 so far, while LVMH has dropped 23%—a divergence fueled by Coach’s standout Q3 results. Revenues grew 6.9% YoY; EPS surged 58%. Coach led the way with $1.3B in sales (+15% YoY), offsetting declines in Kate Spade and Stuart Weitzman.Europe saw breakout growth at +35%, driven by viral hits like the Tabby and Brooklyn lines. These products—priced between €300–600—blend trendiness with practicality, helping Coach land in the Lyst Top 5 (ahead of Prada in brand preference among Gen Z).A Luxury Brand That Gets the InternetWhile traditional luxury brands remain cautious about digital exposure, Coach leans in. On TikTok and Instagram, its “It Bags” power user-generated short-form content that drives organic buzz. Behind the scenes, Coach runs an advanced CRM engine—tracking clicks, searches, and purchases across online/offline platforms to deliver personalized deals, rewards, and product recommendations in real time.The results? Online revenue has jumped from 12% to over 20% in three years, and digital repurchase rates now exceed 50%.Value Over VanityUnlike rivals banking on price and scarcity, Coach is expanding its appeal by offering attainable luxury with functional appeal. Its lower reliance on China (15–20% of sales) compared to LVMH (30–40%) also provides strategic diversification.And despite strong performance, Tapestry remains attractively priced. Its current P/E ratio of 22.8x trails competitors like LVMH (19.45x) and Kering (21.93x)—even after their stocks fell in 2025.The TakeawayTapestry is not chasing prestige. It’s building brand love—through access, data, and consistency. In a crowded luxury space, that may be the most modern strategy of all. [Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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Neutral
Neutral
TPR
Tapestry
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셀스마트 판다
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2 weeks ago
0
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What Happened After Constellation Brands Missed Earnings?
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Buy
Buy
STZ
Constellation Brands Class A
user
셀스마트 판다
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2 weeks ago
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What Happened After Constellation Brands Missed Earnings?
Constellation Brands reported weaker-than-expected earnings, fueling concerns over softening alcohol demand. For the quarter ending in May, the company posted $2.52 billion in organic net sales and $3.22 in earnings per share, both slightly below analyst expectations.The beer segment, which includes six of the top 15 beer brands by dollar share in the U.S., saw sales dip 2% due to a 3.3% decline in shipment volume. Still, the company expects beer revenue to grow by up to 3% this year.Its wine and spirits division suffered more, with revenue plunging 28% year-over-year due to both restructuring and weaker consumer demand. The company has cut guidance for the segment, citing sluggish sales and the divestiture of lower-end brands.Despite the downbeat numbers, STZ stock fell just 0.7% in after-hours trading. It’s already down over 26% this year, and nearly 40% from its March peak. But some institutional investors are seeing value. Berkshire Hathaway, for instance, more than doubled its holdings in Q1 2025, now owning 6.7% of the company.Historical trends show that even when Constellation misses estimates by up to 10%, the stock has tended to bounce back modestly. On average, it returned 1.3% over the next 20 days and 0.13% over 10 days—suggesting that while the short-term reaction can be negative, it often recovers relatively quickly.Mean: +0.13%25th percentile: -2.68%75th percentile: +2.82%Mean: +1.30%25th percentile: -4.15%75th percentile: +9.09%[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
article
Buy
Buy
STZ
Constellation Brands Class A
user
셀스마트 앤지
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2 months ago
1
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Tesla Q1 2025: It’s Not the Numbers—It’s the Narrative
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Neutral
Neutral
TSLA
Tesla
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셀스마트 앤지
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2 months ago
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Tesla Q1 2025: It’s Not the Numbers—It’s the Narrative
Tesla (TSLA) is scheduled to announce its Q1 2025 earnings on Tuesday, April 22.After a steep 40% decline year-to-date, investors are questioning whether a disappointing earnings report could trigger further downside. However, history suggests the stock reacts more strongly to the company’s future outlook than to headline financial results.1. Stock Behavior After Earnings Surprises and ShocksHistorically, Tesla’s stock tends to rise after earnings announcements — both following positive surprises and negative shocks.Interestingly, the worst stock performance has been observed after "mild disappointments" (shock 1; results falling between 0% and -30% below consensus).Paradoxically, larger earnings misses (shock 2 and 3) often saw better stock performance than moderate ones.Even when examining the two-week periods before and after earnings, Tesla’s average return two weeks post-earnings exceeds +5%, despite a slightly below-50% chance of gains immediately after results.Since Tesla's inclusion in the S&P 500 in Q2 2010, the probability that post-earnings returns outperform pre-earnings returns has stood at 55% across 60 quarters.2. More Important Than the Numbers: The Future VisionTesla’s stock reacts more to future growth prospects discussed during earnings calls than to the actual earnings numbers.Case 1: January 2025 Earnings ReleaseFor Q4 2024 earnings (reported January 2025):Revenue: $25.77 billion (5.5% below consensus $27.21 billion)Operating income: $1.583 billion (well below consensus $2.742 billion)Despite these misses, Tesla’s stock rose 4.15% in after-hours trading and gained 2.87% the next day.The rally was fueled by Elon Musk’s visionary statements during the earnings call, including:Commercial rollout of Full Self-Driving (FSD) starting June 2025 in Austin, TexasPlans for launching robotaxi servicesUpdates on the commercialization of the Optimus humanoid robotCase 2: April 2024 Earnings ReleaseSimilarly, during the Q1 2024 earnings release:Despite a 9% decline in vehicle deliveries and lower year-over-year revenue,Tesla’s stock jumped nearly 20% after the earnings call.This was once again driven by strong future technology investment and product roadmap acceleration, not the quarterly financials.3. Investor Behavior Patterns Around Tesla EarningsFocus on Long-Term Growth: Investors prioritize Tesla’s future potential over short-term earnings misses.Preference for Disruptive Innovation: High expectations around autonomous driving, AI, and robotics continue to support bullish sentiment.High Volatility: The stock typically sees ±10% swings around earnings.Better Post-Earnings Returns: Historically, returns over the two weeks following earnings are higher than in the two weeks before.ConclusionWhile Tesla’s earnings numbers certainly matter, the stock’s post-earnings trajectory is far more sensitive to management’s future vision.Past patterns suggest that even disappointing financial results can be overlooked if Elon Musk paints a compelling technological future.Tesla’s stock behavior reinforces its identity as a technology-driven company, rather than a traditional automaker.Investors are betting not on today’s margins, but on tomorrow’s breakthroughs — in AI, full autonomy, robotaxis, and beyond.Thus, investors should pay close attention not only to Tesla’s earnings figures but especially to management’s forward-looking commentary and technological roadmap.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
article
Neutral
Neutral
TSLA
Tesla
user
박재훈투영인
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4 months ago
0
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Optimal Trend Following Rules in Two-State Regime-Switching Models (Nov 6, 2023)
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Neutral
Neutral
NONE
No Relevant Stock
user
박재훈투영인
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4 months ago
0
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Optimal Trend Following Rules in Two-State Regime-Switching Models (Nov 6, 2023)
A recent study, Optimal Trend Following Rules in Two-State Regime-Switching Models, analyzes trend-following investment strategies and provides a theoretical foundation for identifying optimal trading rules. Unlike previous research, which primarily focused on empirical backtesting of various trading rules, this paper derives the optimal trend-following strategy using a regime-switching framework with two market states: bull and bear markets.Key findings include:In a Markov Switching Model (MSM) with fixed transition probabilities, the Exponential Moving Average (EMA) rule is the optimal trend-following strategy.In a semi-Markov Switching Model (ESMSM) where state durations influence transition probabilities, the optimal strategy resembles the Moving Average Convergence/Divergence (MACD) rule.Empirical analysis confirms that the theoretically derived optimal rules outperform traditional 10-month Simple Moving Average (SMA) and 12-month momentum strategies in real-world data.MethodologyReturn Modeling: Uses a two-state regime-switching model to capture bull and bear market dynamics.Markov vs. Semi-Markov Models:Markov Model (MSM): Transition probabilities between states are fixed.Semi-Markov Model (ESMSM): Transition probabilities depend on how long the market has remained in a given state.Deriving the Optimal Trend-Following Rules: Theoretically derives the optimal trading strategy for each model using mathematical and numerical analysis.Empirical Testing: Applies the optimal trading rules to international stock market data, including the U.S. and 16 other countries, and compares their performance with existing trend-following strategies. Key Findings1. Optimal Trend-Following Strategies Depend on the Market ModelMarkov Model (MSM):The Exponential Moving Average (EMA) rule is optimal.EMA assigns exponentially decaying weights to past prices, allowing it to react efficiently to regime changes.Semi-Markov Model (ESMSM):The optimal rule resembles MACD (Moving Average Convergence/Divergence).Like MACD, this rule incorporates both short-term momentum and long-term mean reversion, making it well-suited for markets where state duration affects trend strength.2. Empirical Analysis: U.S. Market PerformanceThe study analyzes U.S. market data (1875–2020) and evaluates the performance of:Theoretically derived optimal rules (EMA & MACD-like rules)10-month SMA12-month momentum strategyResults: The optimal rules consistently outperform traditional SMA and momentum-based strategies across different market regimes.3. Global Market PerformanceUsing out-of-sample testing on 16 international stock markets, the study finds that:Trend-following strategies outperform buy-and-hold in most markets.The optimal rules derived from theory often outperform traditional SMA and momentum rules.However, in some markets, SMA and momentum strategies perform better, suggesting market structure variations influence strategy effectiveness.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
article
Neutral
Neutral
NONE
No Relevant Stock
user
박재훈투영인
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5 months ago
0
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Is Apple Stock (Nasdaq: AAPL) the Short of a Lifetime or the New Widow Maker?(March 27, 2012)
article
Sell
Sell
226490
Samsung KODEX KOSPI ETF
+2
user
박재훈투영인
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5 months ago
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Is Apple Stock (Nasdaq: AAPL) the Short of a Lifetime or the New Widow Maker?(March 27, 2012)
I have a confession to make.I believe Apple stock (Nasdaq: AAPL) is going to be world's first trillion-dollar company yet I want to short the snot out of it.Am I being compulsive?...impulsive?....or foolish?Perhaps it is all three considering that Apple has risen more than 3,000% in the last ten years, turning almost any attempt to go against the grain into a "widow maker" trade.Trump boom awakens “silent” $2 stock [Sponsored by Timothy Sykes]I say almost because I am one of the lucky ones.A few weeks ago I recommended my Strike Force subscribers purchase put options on Apple, effectively shorting the stock. That resulted in a 47% profit in less than 24 hours for anyone who followed along, excluding fees and commissions.I'm not alone in my thinking.Why Buffett, Bezos, & Congress Are Piling Into This One Sector [Sponsored by Investorplace]Uber investor Doug Kass, general partner of Seabreeze Partners Long/Short LP and Seabreeze Partners Long/Short Offshore LP, tweeted recently that he had covered "half his short" on Apple following the announcement of their dividend and buyback plan.Given that the stock had run up to nearly $608 a share before the announcement, presumably Kass had banked some gains, too.7 Reasons to Short Apple Stock(Nasdaq: AAPL)I haven't spoken with Mr. Kass so I can't comment on his current thinking nor the specifics of his trade, but here are mine:The company has single-handedly repeated the bubble curve of the Nasdaq run up. That leaves a lot of empty space to the downside.Apple is a "fad" or a "hit" company, meaning that its price seems to correlate to new product launches rather than the sustainable development of key product lines. Companies that do that tend to fall back from orbit at some point - especially in the tech world. Palm and Research in Motion (Nasdaq: RIMM) are two that come to mind.When great leaders are gone, their legacies can struggle. While Apple has stood up so far following Steve Jobs' unfortunate death, I can only wonder, as many in the tech community are wondering, how deep and how far out his thinking will live on. Is it one product cycle, two cycles? Nobody knows. But we do know that Microsoft (Nasdaq: MSFT) became a very different company after Bill Gates stepped aside. Intel (Nasdaq: INTC) also flatlined three or four cycles after Andy Grove's departure from day-to-day operations.Apple's short interest of only 9.8 million shares is very low considering the company's three-month average daily trading volume is 18.2 million shares and the company's float is 931.8 million shares.The analyst community is almost completely positive. That's usually a sign of two things: a) that they're soft peddling opposing trades from other parts of the "shops" they work for or b) that they want a run up to maximize profits from positions they already hold. Either way, many have been tremendously wrong in their sales projections in recent quarters, understating anticipated results by as much as 30%-40% - a factor also noted by Kass in his trade set up analysis. Therefore, I am skeptical that they are raising numbers again.Apple's profit margins are unbelievably high at a time when the rest of the economy lurches along. While that's not a bad thing in isolation, I have a hard time believing that Apple can remain so far out of line if for no other reason that what goes up must come down eventually. And, since the road higher is far more unlikely for the rest of the markets, it is logical that Apple likely heads lower in the short term.Apple's fundamentals may soften. There are lots of reasons to love Apple but there are just as many reasons things may not be what they seem. If the economy worsens just how many people are going to buy "gee-whiz" technology beyond the hard core Apple-heads? Is there an Apple-killer in somebody's garage right now? Anti-trust investigations and supply problems are also big what ifs at the moment. Even a carrier failure could rock Apple because it may be their subsidies that keep Apple's costs down and profits high.Add it all up and there is enough to make you go hmmm...Of course, there is no doubt I will incur the wrath of Apple fans everywhere and arm chair traders from here to Tibet.Trump’s Shocking Exec Order 001 [Sponsored by Bayan Hill]Get over it guys; please refrain from the snarky e-mails telling me I'm an idiot or out of touch or worse - I believe in Apple. I really do.What I am suggesting is simply the logic behind Apple as a trading opportunity for nimble, aggressive and like minded market mavens.Besides, if I am correct and Apple does trade lower in the weeks ahead, I'm going to be picking up shares as an investment.
article
Sell
Sell
226490
Samsung KODEX KOSPI ETF
+2
user
박재훈투영인
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5 months ago
0
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So what can we learn from the Crash of 1929 to avoid a 21st Century Great Depression?(17 September 2008)
article
Strong Sell
Strong Sell
133690
Mirae Asset TIGER NASDAQ100 ETF
+3
user
박재훈투영인
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5 months ago
0
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So what can we learn from the Crash of 1929 to avoid a 21st Century Great Depression?(17 September 2008)
By the end of September 1929, the American stock market on New York’s Wall Street was riding the wave of a decade of intoxicating growth.The Roaring Twenties — that era of the Jazz Age, bootleggers and gangsters like Al Capone — had seen millions of ordinary Americans caught up in the excitement of owning shares, and making money.The Dow Jones Industrial Average of leading shares had grown five-fold in the previous five years.As the social historian Cecil Roberts was to put it later: ‘Everyone was playing the market. Stocks soared dizzily.'I found it hard not to be engulfed. I had invested my American earnings in good stocks.'Should I sell for a profit? Everyone said, “Hang on — it’s a rising market.”’On the last day of a visit to New York that September, Roberts went to have his hair cut.As the barber swept the clean white sheet from his shoulders and bent to brush his collar, he said softly: ‘Buy Standard Gas. I’ve doubled. It’s good for another double.’Stunned, Roberts walked upstairs and said to himself: ‘If the hysteria has reached the barber-level, something must soon happen.’ It did.On October 3, the day after Britain’s widely respected Chancellor of the Exchequer, Philip Snowden, had warned that the Americans had got themselves into a ‘speculative orgy’ on Wall Street, the New York stock market started to fall.Today, almost 80 years later, history seems to be on the verge of repeating itself — with the Dow Jones index of leading shares on Wall Street falling, followed by major stock markets around the world.Back in 1929, as October continued, so the fall in the value of stocks and shares steepened.On Monday, October 21, six million shares swapped hands, the largest number in the history of the exchange.But then, on the morning of Thursday, October 24, 1929, it went into freefall. When the New York Stock Exchange opened there were no buyers, only sellers.The Great Crash had begun. On the floor of the Exchange, there was pandemonium.Watched by none other than Winston Churchill, who was in the United States on a speaking tour and had come to see how his American investments were faring, there was ‘bedlam’ with ‘the jobbers (trying to buy or sell stocks and shares) caught in the middle’.As Selwyn Parker, author of a new book on the Crash puts it: ‘In vain attempts to be heard above the din, they were screaming orders to sell; when that did not work, they hurled their chits at the chalk girls.'Others, transfixed by the plummeting share prices, simply stood where they were in an almost catatonic state.‘What Churchill was watching,’ Parker goes on to say ‘was the collapse of the collective nerve of American shareholders.’On the street, the crowds of onlookers grew ever bigger as rumours of the falls swept New York — with thousands upon thousands of ordinary Americans fearful that they were about to lose everything.By midday police riot squads had to be called to disperse what The New York Times itself called ‘the hysterical crowds’, but they had little or no effect. Rumours spread everywhere — one was that 11 speculators had killed themselves that very morning, though it was not true.One poor workman on the roof of an office building nearby found himself watched by the crowds below — all convinced that he was about to throw himself to the street below.He didn’t, but the legend that one banker did throw himself to his death was to become one of the abiding myths of what became known as ‘Black Thursday’.Almost 13 million shares changed hands on the NYSE that day, the most that had ever done so, and yet the worst of the falls in value were recouped that same afternoon — in the wake of a rescue attempt by leading bankers who had held an emergency meeting at the offices of JP Morgan.Yet the rally didn’t last. By Monday, October 28, the sellers were back, and on Tuesday October 29, the Great Crash finally came to a dreadful conclusion in what The New York Times described as ‘the most disastrous day’ in the American stock market’s history.On that day — ‘Black Tuesday’ — losses approached £4.5 billion ( equivalent to £800 billion today), and more than 16.4million shares changed hands.No matter what the bankers, or wealthy investors like John D. Rockefeller, tried to do to stem the tide of sellers, their efforts were pointless. They were swept aside, as huge blocks of shares were sold, and confidence drained out of the market.Groups of men — ‘with here and there a woman’ in the words of one observer — stood beside the new ‘ticker-tape’ machines, which monitored the price of stocks and shares, watching as their fortunes vanished in front of their eyes.One reporter noted: ‘The crowds about the ticker-tape, like friends around the bedside of a stricken friend, reflected in their faces the story the tape was telling.There were no smiles. There were no tears either. Just the cameraderie of fellow sufferers.’ The comedian Eddie Cantor lost everything, but kept his sense of humour.‘Well, folks,’ he told his radio audience that evening, ‘they got me in the market, just like they got everybody else.'In fact, they’re not calling it the stock market any longer. They’re calling it the stuck market.'Everyone’s stuck. Well, except my uncle. He got a good break. He died in September.’Groucho Marx, star of Duck Soup and Animal Crackers, lost £400,000, while heavyweight boxer Jack Dempsey, one of the first multi-millionaire sportsmen, lost £1.5million.Even the man who was later accused of triggering the stock market boom, economist Professor Irving Fisher, lost everything.Just four months earlier, Fisher had told the readers of an article entitled Everybody Ought To Be Rich: ‘If a man saves £7.50 a week, and invests in good common stocks, and allows the dividends and rights to accumulate, at the end of 20 years he will have at least £40,000 and an income from investments of around £200 a month. He will be rich.‘And because income can do that, I am firm in my belief that anyone not only can be rich, but ought to be rich.’Small wonder that the most popular song of 1929 was Irving Berlin’s Blue Skies — with its unforgettable lines: ‘Blue skies smiling at me/Nothing but blue skies, do I see.’Millions of Americans had taken Fisher’s advice, often borrowing the money to do so. And, in another parallel with today’s financial crisis, ordinary people were encouraged to take exceptional risks — risks they did not appreciate, and which they would come to regret.Some had their doubts, but not many. One investor later recalled: I knew something was terribly wrong because I heard bellboys, everybody, talking about the stock market.’But, just like today, many of them were gulled by the slick salesmen of the investment houses and banks.As Parker explains: ‘In the five-year run up to the Crash, gullible investors borrowed wildly to get into the market, and many were systematically duped by Wall Street and the stock market fraternity at large.’After the Crash, one expert in the Department of Commerce estimated that almost half the £25 billion of stocks and shares sold in the United States during the Roaring Twenties was ‘undesirable or worthless’.But the other half clearly reflected the growing American economy — with shares in General Electric, for example, tripling in value in the 18 months before the Crash; while a £5,000 investment in General Motors in 1920 would have produced an astonishing £750,000 by 1929.By the end of 1928 most investors had come to expect incredible gains, and the presidential election campaign that November did nothing to quell the fever.Indeed, the Republican candidate Herbert Hoover, who’d been commerce secretary throughout the 1920s, took to the hustings to announce: ‘We shall soon, with the help of God, be in sight of the day when poverty will be banished from this nation.’It was to take a generation — and a World War — to see any semblance of prosperity return.The Great Crash of 1929 plunged America, and the rest of the world, into an economic depression that was to last for the next decade.As one commentator memorably explained afterwards: ‘Anyone who bought stocks in mid 1929 and held onto them saw most of his or her adult life pass by before getting back to even.’So why did the Crash — which had been precipitated by government increases in interest rates to cool off the stock market boom — turn into a depression?Simply because of the uncertainty the Crash fuelled.No one knew what consequences of the Crash were going to be — so everyone decided to stop trading until things settled down.Banks stopped lending money. Consumers stopped buying durable goods from shops.The stores, in turn, stopped buying from the manufacturers.Firms, therefore, cut back on production and laid off workers. And all of this fed on itself to make the depression still worse.In the following ten years 13 million Americans lost their jobs, with 12,000 losing their jobs every single working day.Some 20,000 companies went bankrupt, including 1,616 banks, and one in every 20 farmers was evicted from his land.In 1932, the worst year of the Great Depression which continued until the beginning of the war, an astounding 23,000 Americans committed suicide in a single year.And the pain was not restricted to the U.S.Weimar Germany, which had built its foundations in the aftermath of World War I with the help of American loans, found itself struggling with ever mounting debts.This, in turn, helped to usher in the brownshirts of Adolf Hitler’s National Socialist party.The impact on American self-confidence was devastating.As the Broadway lyricist Yip Harburg, who lived through those times, explained almost 40 years later: ‘We thought American business was the Rock of Gibraltar.'We were the prosperous nation, and nothing could stop us now. There was a feeling of continuity. If you made it, it was there for ever. Suddenly the big dream exploded’.Another writer, who lived through those days, M. A. Hamilton, said the Great Crash of 1929 shattered the dreams of millions of Americans —and that the average working man ‘found his daily facts reeling and swimming about him, in a nightmare of continuous disappointment’.‘The bottom had fallen out of the market, for good,’ wrote Hamilton. ‘And that market had a horrid connection with his bread and butter, his automobile, and his instalment purchases.'Worst of all, unemployment became a hideous fact and one that lacerated and tore at self-respect.’Suddenly, there were lines of men and women queuing up for free soup from the soup kitchens established by the Salvation Army, or provided by the wealthy men who had not been hurt financially, like the millionaire publisher William Randolph Hearst.And everywhere Americans were struggling to eke out a living.Once-successful businessmen were condemned to selling apples on street corners in New York, and, if they couldn’t afford apples, they offered to shine shoes.By the summer of 1932, according to the police, there were about 7,000 of these ‘shine boys’ making a living on New York’s streets.Just three years before they were almost non-existent and most were boys under 17.The New York Times reported ‘an army of new salesmen, peddling everything from large rubber balls to cheap neckties’, while unemployment also brought back the ‘newsboy’ (often men in their 40s) in increasing numbers.‘He avoids the busy corners, where news-stands are frequent,’ the paper explained. ‘And hawks his papers in the side streets with surprising success.'His best client is the man who is too tired to walk down to the corner for a paper’.The Great Depression was an economic apocalypse that no one could possibly wish to see happen again. But could it?There are worrying parallels. The American economist J. K. Galbraith blamed the Great Depression that followed the Crash on credit growth, as did his British counterpart, Lionel Robbins.And few doubt that it is the credit crunch — as well as the greed among bankers who took unacceptable risks with their clients’ money — that lies at the heart of the present falls in stock markets around the world.Certainly, Selwyn Parker believes this. In the past decade, he writes, ‘ somehow the banks managed to slip the regulators’ leash, distributing credit around the world like so much chaff. Casinos were better regulated than the banking industry.’The result of this credit binge, he adds, is the record levels of personal debt that we are seeing now, which leads, when things start to go wrong, ‘to general belt-tightening, fast-slowing growth and banks hoarding capital — the conditions we have right now’.‘The financial system and people’s material wealth today,’ Parker warns darkly, are much more vulnerable than anybody thought.’As stock markets fall around the world, we can only pray we are not on the brink of another economic apocalypse.But history suggests that the omens are far from good.
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133690
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5 months ago
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Taking Stock of the Numbers That Shaped Markets in 2001(From the Wall Street Journal Europe) ( Jan. 4, 2002)
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133690
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+2
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5 months ago
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Taking Stock of the Numbers That Shaped Markets in 2001(From the Wall Street Journal Europe) ( Jan. 4, 2002)
Numbers make the markets go 'round. So any conversation about equities is usually peppered with references to the highs, the lows and the ratios that try to make sense of it all.As markets enter a new trading year, here are data points for Europe and the U.S. that will help investors get through any cocktail conversation that revolves around investing and what happened in 2001.Europe17The Dow Jones Stoxx Index of 600 European blue chips fell 17% in 2001, its worst year since 1990. The index ended the year at 298.73, a long way from 359.79 at the start of 2001.The index was rarely in the black and hit its closing high of 362.47 on Jan. 29. The closing low, 235.90, came at the end of a manic week following the resumption of trading in New York Sept. 17. The Sept. 11 terrorist attacks on the U.S. shut down the New York Stock Exchange for four days.The bright spot: Those who invested the first day trading resumed earned 26.6% through the end of the year.11Germany's Neuer Markt, the darling of European indexes in 2000, wasn't so cool only a year later. The exchange for small-company stocks couldn't even average one initial public offering per month -compared with one every other working day in 2000, when 133 companies went public. The last of the year's 11 IPOs came July 24, when init innovation in traffic systems AG raised 59.8 million euros ($54 million).It was a dud year all around for IPOs. The total number of offerings in Europe, the Middle East and Africa collapsed 71% to 183 from 639 a year earlier, according to investment-banking research firm Dealogic CommScan.1,442,000,000That is the value in pounds of shares outstanding in Railtrack PLC, the formerly state-owned railway-network operator that the Labor government put in administration Oct. 8. Its shares haven't traded since.Angry shareholders have banded into a handful of groups and continue to threaten lawsuits in an effort to recover their money.FourUnlike the U.S. Federal Reserve, the European Central Bank was as slow as molasses in cutting interest rates in 2001. Its 18 members agreed to do so just four times. The repo rate ended the year at 3.25%, down from 4.5% at the start of the year.83.48The euro hit its low against the dollar July 6 when it was valued at just 83.48 U.S. cents. Euro bashers can note with glee that it represented an 11.4% drop in purchasing power from the start of the year, when it was valued at 94.24 cents.It has since made up half those losses; it ended the year at 89.15 cents.14,889,900,000While the ECB did little on the interest-rate front, it was busy overseeing the introduction of euro notes and coins. The 12 national central banks cranked out 14.89 billion banknotes -- some of which they will keep for themselves for emergencies. Each country also minted a total of 51,611,000,000 coins. Taken together, that is about 636 billion euros in cash making its way into the hands of 306 million Europeans.674,157,863While most exchanges across Europe reported sizable drops in trading volume, markets listing futures and options contracts were busier than ever. Eurex, the Swiss-German derivatives exchange, retained its title as the world's largest exchange with a 48% jump in the number of contracts traded, to 674,157,863.The U.S.FourWall Street's most harrowing stretch was four days when nothing traded at all.The Sept. 11 terrorist attacks transformed downtown Manhattan into a disaster zone and prompted a four-day halt in U.S. stock trading, the longest such stoppage since the Great Depression. Fearful of a market collapse when trading resumed, Wall Street rushed to set aside many longstanding rules and rivalries -- with mixed success. For example, federal regulators took the unusual step of relaxing nearly 20-year-old restrictions on when and how corporations can repurchase their own stock. The move unleashed share-repurchase announcements from hundreds of companies, but it didn't stop the Dow industrials from staging the biggest one-day point drop ever when trading picked up on Sept. 17.307,509,225,893The New York Stock Exchange certainly had lots of reasons to feel magnanimous.More than a quarter-trillion of them. Despite the historic trading halt in September, not to mention a war and a recession, a record 307.51 billion shares changed hands on the Big Board in 2001. That is well above 2000's total volume of 262.5 billion, itself a record high at the time. Way back in 1991, when a different Bush was waging a different war and we stood at the eve of a different recession, total trading volume on the NYSE was a mere 45.3 billion shares.690While the Big Board boomed, the Nasdaq withered. Hard hit by the decline in stock prices and the dearth of initial public offerings, the Nasdaq Stock Market has lost 690 listed companies since the end of 2000, according to data from the Nasdaq Web site. As of mid-December, the Nasdaq reported having 4,044 stocks listed on its Nasdaq National Market and the Nasdaq SmallCap Market, putting it on track to finish the year with its leanest roster since 1983.Although its cachet soared along with the 1990s tech boom, Nasdaq's ranks have been falling since 1997. That is when Nasdaq tightened its listing requirements to exclude any stock that trades below $1 (1.11 euros) for more than 30 days.92Staging an IPO, a glamour event in 1999, became an arduous challenge in 2001.Only 92 companies managed to reach the public markets, compared with 396 in 2000, according to Dealogic. For most of 2001, tight-fisted institutional investors balked at buying new issues, prompting more than 160 companies to scrap their previously filed IPO applications altogether. But business picked up in the fourth quarter with 31 IPOs, or more than a third of the year's total.3,287.71It is little wonder investors lost their stomach for IPOs, with the Dow industrials lurching 3,287.71 points from peak to trough during the year. A particularly unlucky soul who bought a basket of Dow stocks at the May 21 peak and sold at the Sept. 21 nadir would have seen his or her holdings shrink 29%. (Since the lows in September, however, the major stocks indexes have surged on hopes of an economic recovery.)6,447,893,636Not everyone is toasting the year-end rally, however. Judging from levels of short interest, or the number of open bets that stocks will fall, the recent run-up has brought out the bears as well. As of the last count in mid-December, short interest on NYSE-listed stocks rose 2.8% to more than 6.4 billion shares, notching its 10th monthly record in a row. (Some strategists consider increasing short interest to be a positive indicator, because it represents an obligation to buy stocks later on.)54It required 54 pages to list all the unsecured creditors of Enron and its subsidiaries. That is a list to make a short-seller grin.11Enron's stock wasn't the only thing that cratered in 2001: The federal funds interest rate got sliced 11 times, bringing it to levels not seen since the Berlin Wall was in its glory. Hoping in vain to ward off a recession, the Federal Reserve's policy makers chopped interest-rate targets throughout the year, most recently at their Dec. 11 meeting. But the power of the Fed to stimulate the economy was hampered by a bond market that stubbornly refused to let long-term interest rates fall as fast as the Fed committee might have wished.620So where will stocks be this time next year? Pick a number -- the odds are pretty good that you will land somewhere within the gaping 620-point window of forecasts for the Standard & Poor's 500-stock index.Major stock strategists predict that the S&P could settle anywhere from 950 to 1570 at the end of 2002, reflecting vastly different outlooks on the prospects for a quick rebound in the economy and in corporate profits. From its current level of 1148.08, an S&P of 950 would require a drop of 17%. To reach a target of 1570, the S&P would have to rise by 37%.ZeroReality check: Despite their painstaking prognostications, not one of these strategists correctly predicted the severity of the S&P 500's decline in 2001.Year-end forecasts had ranged from 1225 to 1715, all above the S&P's closing price for year-end 2001 of 1148.08.
article
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Sell
133690
Mirae Asset TIGER NASDAQ100 ETF
+2
Event
user
셀스마트 대니
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4 months ago
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0
S&P 500 Stocks with Over 10% Target Price Downgrades – Part 2 📉 (3rd Week of March)
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AMD
Advanced Micro Devices
+26
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4 months ago
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S&P 500 Stocks with Over 10% Target Price Downgrades – Part 2 📉 (3rd Week of March)
Over the past eight weeks (Jan 17, 2025 – Mar 12, 2025), several major S&P 500 companies have seen their target prices cut by more than 10% in analyst reports.This reflects a combination of fundamental shifts in these companies, macroeconomic factors, and changes in industry competition. From a sell-side perspective, such target price downgrades can signal short-term downward pressure on stock prices, requiring investors to consider appropriate risk management and sell strategies.Below is a list of stocks whose target prices have been cut by more than 10% compared to eight weeks ago. For each stock, we provide the target price as of January 17, 2025, and March 12, 2025, along with the percentage decrease.1. AES (AES-US)Target Price (Mar 12, 2025): $15Target Price (Jan 17, 2025): $18Decline: -16.7%Key Issue: Slower growth in the power and utilities sector, combined with rising energy costs, is pressuring the company’s profitability.2. Albemarle (ALB-US)Target Price (Mar 12, 2025): $98Target Price (Jan 17, 2025): $112Decline: -12.5%Key Issue: Falling lithium prices and declining global EV demand are negatively impacting the company’s earnings outlook.3. Advanced Micro Devices (AMD-US)Target Price (Mar 12, 2025): $147Target Price (Jan 17, 2025): $173Decline: -15.0%Key Issue: Slowing demand in the data center and PC markets, along with intensified AI competition, has led to downward earnings revisions.4. Biogen (BIIB-US)Target Price (Mar 12, 2025): $198Target Price (Jan 17, 2025): $228Decline: -13.2%Key Issue: Delays in new drug approvals and growing competition are raising concerns about the company’s revenue growth.5. Builders FirstSource (BLDR-US)Target Price (Mar 12, 2025): $178Target Price (Jan 17, 2025): $203Decline: -12.3%Key Issue: A slowdown in the construction industry and rising raw material costs are putting pressure on profitability.6. Celanese (CE-US)Target Price (Mar 12, 2025): $69Target Price (Jan 17, 2025): $93Decline: -25.8%Key Issue: Weakening demand for chemical products and rising raw material costs are negatively affecting earnings.7. Charles River Laboratories (CRL-US)Target Price (Mar 12, 2025): $183Target Price (Jan 17, 2025): $204Decline: -10.3%Key Issue: Increased competition in the pharmaceutical research and lab supply market is putting pressure on growth projections.8. Electronic Arts (EA-US)Target Price (Mar 12, 2025): $144Target Price (Jan 17, 2025): $163Decline: -11.7%Key Issue: Increased competition in the gaming industry and weaker-than-expected demand for new releases are weighing on revenue forecasts.9. Edison International (EIX-US)Target Price (Mar 12, 2025): $71Target Price (Jan 17, 2025): $86Decline: -17.4%Key Issue: Profitability concerns in the utilities sector and growing regulatory pressures have led to a target price reduction.10. Enphase Energy (ENPH-US)Target Price (Mar 12, 2025): $78Target Price (Jan 17, 2025): $89Decline: -12.4%Key Issue: Slower growth in the renewable energy market and rising raw material costs are weighing on the company’s performance.11. Fidelity National Information Services (FIS-US)Target Price (Mar 12, 2025): $83Target Price (Jan 17, 2025): $93Decline: -10.8%Key Issue: Increased competition in financial services and payment processing is impacting earnings outlooks.12. FMC (FMC-US)Target Price (Mar 12, 2025): $49Target Price (Jan 17, 2025): $67Decline: -26.9%Key Issue: Weak demand for agricultural chemicals and rising input costs are pressuring earnings expectations.13. Huntington Ingalls Industries (HII-US)Target Price (Mar 12, 2025): $199Target Price (Jan 17, 2025): $224Decline: -11.2%Key Issue: Changes in defense and shipbuilding budgets, along with reductions in government spending, have weighed on earnings projections.14. Hewlett Packard Enterprise (HPE-US)Target Price (Mar 12, 2025): $20Target Price (Jan 17, 2025): $24Decline: -16.7%Key Issue: Slowing demand for enterprise IT infrastructure and increased competition in the cloud computing market are affecting the company’s growth prospects.15. Kraft Heinz (KHC-US)Target Price (Mar 12, 2025): $32Target Price (Jan 17, 2025): $36Decline: -11.1%Key Issue: Rising raw material costs and changing consumer spending habits highlight the need for brand competitiveness improvements.16. Microchip Technology (MCHP-US)Target Price (Mar 12, 2025): $66Target Price (Jan 17, 2025): $80Decline: -17.5%Key Issue: Short-term uncertainties in the semiconductor industry and inventory adjustments are negatively impacting earnings expectations.17. Mondelez International Class A (MDLZ-US)Target Price (Mar 12, 2025): $67Target Price (Jan 17, 2025): $75Decline: -10.7%Key Issue: Slowing global consumer goods market growth and rising raw material costs are increasing margin pressures.18. MarketAxess Holdings (MKTX-US)Target Price (Mar 12, 2025): $232Target Price (Jan 17, 2025): $259Decline: -10.4%Key Issue: Increased competition in the bond trading platform market and interest rate volatility are affecting revenue growth.19. Moderna (MRNA-US)Target Price (Mar 12, 2025): $53Target Price (Jan 17, 2025): $69Decline: -23.2%Key Issue: Declining COVID-19 vaccine demand and uncertainties in new drug development are impacting investor sentiment.20. NetApp (NTAP-US)Target Price (Mar 12, 2025): $123Target Price (Jan 17, 2025): $138Decline: -10.9%Key Issue: Increased competition in the data storage and cloud solutions market is slowing the company’s growth trajectory.21. ON Semiconductor (ON-US)Target Price (Mar 12, 2025): $61Target Price (Jan 17, 2025): $79Decline: -22.8%Key Issue: Strong demand for automotive semiconductors is offset by weak IT and consumer electronics demand, leading to lower revenue forecasts.22. Sempra (SRE-US)Target Price (Mar 12, 2025): $83Target Price (Jan 17, 2025): $94Decline: -11.7%Key Issue: Market volatility in the energy and utilities sector and changing regulatory environments are weighing on profitability forecasts.23. Skyworks Solutions (SWKS-US)Target Price (Mar 12, 2025): $72Target Price (Jan 17, 2025): $97Decline: -25.8%Key Issue: Weakening demand for 5G components and increasing competition in the smartphone market are negatively impacting growth.24. Teleflex (TFX-US)Target Price (Mar 12, 2025): $165Target Price (Jan 17, 2025): $240Decline: -31.3%Key Issue: Slowing demand in the medical device market and global economic uncertainty are lowering earnings projections.25. United Parcel Service Class B (UPS-US)Target Price (Mar 12, 2025): $131Target Price (Jan 17, 2025): $148Decline: -11.5%Key Issue: Slowing growth in the global logistics market and rising costs are putting pressure on profit margins.26. Western Digital (WDC-US)Target Price (Mar 12, 2025): $79Target Price (Jan 17, 2025): $88Decline: -10.2%Key Issue: Short-term weakness in the memory semiconductor market and declining prices are impacting revenue and profitability.27. West Pharmaceutical Services (WST-US)Target Price (Mar 12, 2025): $281Target Price (Jan 17, 2025): $377Decline: -25.5%Key Issue: Rising raw material costs and increasing competition in the pharmaceutical and medical device industries are pressuring growth expectations.While the reasons and extent of target price downgrades vary by company, overall, these revisions reflect common macroeconomic risks, such as economic recession fears, supply chain uncertainties, rising costs, intensifying competition.Additionally, some companies are affected by structural industry changes, such as fluctuations in EV battery demand and semiconductor industry trends.From a sell-side perspective, stocks experiencing significant target price cuts could face short-term downside pressure. Investors should consider risk management strategies, including portfolio rebalancing, short positions, market-driven adjustments – Stay alert to upcoming earnings reports, interest rate changes, and key economic indicators, as these can significantly impact volatility.By aligning investment decisions with broader market trends, investors can navigate these shifts with greater flexibility and strategic foresight.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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AMD
Advanced Micro Devices
+26
Economy & Strategy
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2 weeks ago
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How Does the S&P 500 React After the ISM Services PMI Release?
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SPX
S&P500
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2 weeks ago
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How Does the S&P 500 React After the ISM Services PMI Release?
The U.S. ISM Services PMI for June is scheduled for release on July 3 at 10 a.m. ET. Market consensus expects a slight rebound to 50.5, up from 49.9 in May — a return above the neutral 50 threshold would indicate an expansion in the services sector.In May, the index dipped below 50 for the first time since June 2024, reflecting contraction. New orders fell sharply to 46.4, signaling weak demand. However, the prices index surged to 68.7, suggesting ongoing inflationary pressure, while employment barely held expansion at 50.7.The upcoming data will likely influence both Fed policy expectations and market sentiment. A reading above expectations may signal resilience in services, while a downside surprise could revive concerns about economic slowdown and shift investor preference toward defensive assets.S&P 500 Performance After ISM Surprises (2008–present)After an upside surprise (92 events)+0.50% average return over 2 weeks+0.55% average return over 1 monthAfter a downside surprise (113 events):+0.12% average return over 2 weeks+0.63% average return over 1 monthHistorical data suggests that ISM Services PMI surprises have limited short-term impact on equity returns. While direct correlation remains weak, there is potential for indirect effects via shifts in interest rate outlooks and investor sentiment over a one-month horizon.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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2 weeks ago
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S&P 500 Rallies in May and June — What Comes Next?
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SPX
S&P500
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2 weeks ago
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S&P 500 Rallies in May and June — What Comes Next?
A back-to-back rally in May and June has historically been a strong setup for the S&P 500.Since 1988, this pattern has occurred 16 times. In 15 of those years (93.8%), the market continued to climb over the next six months. The average return was +8.8%, with even the bottom quartile posting a solid +5.9%. Top quartile returns reached +11.45%.<6-month return distribution after May–June rallies (1988–2024)>Mean: 8.81%25th percentile: 5.90%75th percentile: 11.45%There are rare exceptions. In 2018, despite early strength, the index fell 7.8% in the second half—reminding us that outside shocks or policy shifts can break momentum.Still, history leans bullish.  Unless macro risks intervene, a strong May–June tends to set the tone for a strong finish.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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3 months ago
1
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Lessons from the Tariff Tantrum: What the Market Just Told the White House (Apr 11, 2025)
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NONE
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3 months ago
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Lessons from the Tariff Tantrum: What the Market Just Told the White House (Apr 11, 2025)
The past week offered a sobering reminder: markets still hold veto power.Soaring bond yields on Tuesday night triggered a rare wave of concern—even among those previously dismissive of a financial crisis scenario. The sudden spike in long-term yields appeared to spook the White House into delaying its tariff policy by 90 days.According to The New York Times, insiders revealed that the sharp rise in Treasury yields and broader market chaos pushed President Trump to announce a temporary suspension of retaliatory tariffs on most nations.“Economic turmoil, especially the surge in Treasury yields, caused the President to backtrack on Wednesday afternoon,” said four people with direct knowledge of the decision.What likely drove the bond sell-off? Leverage unwinding, liquidity runs, and perhaps even foreign governments hitting the sell button. Regardless of the cause, the combination of equity losses, rising yields, slowing growth, and inflation fears forced the administration’s hand.The equity market has responded with violent swings:S&P 500 returns over the past six sessions include: -4.8%, -6.0%, +9.5%, -3.5%.Wednesday marked one of the top 10 best days for the S&P 500 since 1928, but the optimism didn’t last.This is not normal volatility. This is structural tension.Bond Market Strikes FirstThe yield surge was not just a market move—it was a message. The fixed income market essentially checked the White House, forcing a rare policy reversal.And yet, the core risk hasn’t dissipated. Stocks remain fragile. Bond yields are still climbing. The U.S. dollar continues to weaken. The tariff regime, even with the delay, remains historically aggressive.The Wall Street Journal reported:“Trump told advisors he was willing to accept ‘pain.’ He acknowledged tariffs could cause a recession but said he wanted to avoid one if possible.”That’s a chilling calculus: accept short-term economic damage for perceived long-term leverage. It also raises the odds of a policy-induced downturn.Bear Market… Or Close Enough?Technically, the S&P 500 has not entered a bear market, falling 18.9% from peak—shy of the 20% threshold. But the market has seen similar near-bear drawdowns before:1976–1978: -19.4%1990: -19.9%1998: -19.3%2011: -19.4%2018: -19.8%In reality, the 1% difference is only relevant to historians, not investors.Markets price in future risk. In 2020, stocks rallied while millions lost jobs. The market looked ahead—and was right. This time could be no different: the market may fall before the recession hits, and rebound while the economy is still contracting.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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Copper Prices Continue to Surge, $10,000 Mark in Sight (Mar 18, 2025)
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Copper Prices Continue to Surge, $10,000 Mark in Sight (Mar 18, 2025)
On March 17 (local time), London Metal Exchange (LME) copper futures closed at $9,804 per ton, continuing their strong rally. New York Commodity Exchange (COMEX) May copper futures also surged to $9,900 intraday. Copper prices are approaching their highest level in five months, with analysts predicting a breakthrough past $10,000 within three months if supply constraints persist.The key driver behind copper’s rise is China’s economic stimulus measures. The Chinese government recently announced new policies to boost domestic consumption, while industrial production and retail sales exceeded market expectations, fueling optimism about increased raw material demand. Meanwhile, the U.S. is considering imposing tariffs on copper imports, raising concerns over potential disruptions in global supply chains. In response, raw material companies have begun preemptively shipping copper to the U.S.On the supply side, risks persist. Chile, the world’s largest copper producer, saw a 24% drop in production in January, reaching its lowest level in nine months. State-owned mining giant Codelco has warned that production could decline further due to ongoing mine maintenance.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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U.S. Stocks Rise for Second Day on Dip Buying; Tesla Drops 4.8% (Mar 17, 2025)
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U.S. Stocks Rise for Second Day on Dip Buying; Tesla Drops 4.8% (Mar 17, 2025)
U.S. stocks extended their gains for a second consecutive session, supported by dip buying and easing economic concerns. On March 17 (ET), the Dow Jones Industrial Average rose 0.85% to 41,841.63, while the S&P 500 and Nasdaq gained 0.64% and 0.31%, respectively.According to the U.S. Department of Commerce, February retail sales increased 0.2% month-over-month, falling short of the 0.6% forecast. However, core retail sales (control group) rose 1%, offering a mildly positive signal for GDP growth expectations. Additionally, reports that former President Donald Trump is engaging in negotiations with Russian President Vladimir Putin to discuss ending the war in Ukraine fueled hopes of geopolitical risk reduction.Stock HighlightsTesla (-4.8%):Investors reacted negatively to China’s announcement of free autonomous driving trials, raising market uncertainty.Mizuho Securities cut Tesla’s price target from $515 to $430, adding to the downward pressure.Intel (+6.8%):Surged after announcing a corporate restructuring strategy.Baidu (+9%):Benefited from expectations of increased consumer spending in China due to new government stimulus measures.Nvidia (-1.8%):Weighed down by ongoing U.S.-China tensions.Quantum Computing Stocks Soar:D-Wave Quantum (+10.15%) and Quantum Corp (+40.1%) surged as investors anticipated AI-related breakthroughs ahead of Nvidia’s upcoming AI conference.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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Determining Optimal Trading Rules Without Backtesting (Sep 12, 2015)
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Determining Optimal Trading Rules Without Backtesting (Sep 12, 2015)
A recent study, Determining Optimal Trading Rules Without Backtesting, challenges the conventional reliance on backtesting for optimizing trading strategies. The paper argues that overfitting in backtesting can lead to misleadingly strong performance during testing but poor real-world results. To address this issue, the study proposes a new methodology for determining Optimal Trading Rules (OTR) without backtesting.Instead of using a backtesting engine, the methodology builds on alternative modeling techniques and presents empirical evidence that an optimal solution exists when prices follow a discrete Ornstein-Uhlenbeck (O-U) process. The study then demonstrates how to numerically compute this optimal trading rule.MethodologyThe proposed OTR framework follows these steps:Price Process Modeling: Assumes that asset prices follow a discrete Ornstein-Uhlenbeck (O-U) process, which exhibits mean-reverting properties, meaning prices tend to revert to a long-term average.Model Parameter Estimation: Estimates key parameters of the O-U process (e.g., mean reversion speed, volatility) using historical price data.Profit and Loss Targets: Defines stop-loss and profit-taking levels with various combinations.Monte Carlo Simulation: Simulates price trajectories using the estimated parameters and applies different stop-loss and profit-taking rules to calculate returns.Sharpe Ratio Optimization: Computes the Sharpe ratio for each combination and selects the trading rule that maximizes risk-adjusted returns as the optimal strategy.Key Findings & Case StudiesThe study’s primary contribution is demonstrating that optimal trading rules can be derived without backtesting under certain market conditions. Specifically, when prices follow an O-U process, selecting specific stop-loss and profit-taking levels leads to an optimal strategy.1. Case: Long-Term Equilibrium at Zero (Market Makers)This scenario represents liquidity providers such as market makers.When the half-life of mean reversion is short (i.e., prices revert quickly), the optimal strategy is to use tight profit-taking levels and wider stop-loss levels.This approach secures small but frequent gains while tolerating temporary losses.The model shows that in this case, the Sharpe ratio can reach up to 3.2, indicating strong risk-adjusted returns.2. Case: Long-Term Equilibrium Above Zero (Hedge Funds & Asset Managers)This scenario applies to investors holding long-term positions.Since positions have a higher probability of being profitable, the profit-taking threshold is set higher compared to market makers.3. Case: Long-Term Equilibrium Below Zero (Risk-Averse Traders)This scenario applies to traders aiming to minimize losses and exit positions quickly.The strategy prioritizes early exits on losing trades to protect capital.For each scenario, the study visualizes the Sharpe ratio across different stop-loss and profit-taking levels using heat maps, enabling traders to intuitively identify the optimal trading rule based on market conditions.This research presents a novel approach to avoiding backtesting overfitting and developing more robust trading strategies. While it was previously assumed that backtesting was necessary for optimizing trading rules, this study demonstrates that under certain conditions, an optimal strategy can be determined theoretically.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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Modeling Crypto Asset Price Dynamics, Constructing Optimal Crypto Portfolios, and Valuing Crypto Options (Nov 13, 2021)
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Modeling Crypto Asset Price Dynamics, Constructing Optimal Crypto Portfolios, and Valuing Crypto Options (Nov 13, 2021)
"Modelling Crypto Asset Price Dynamics, Optimal Crypto Portfolio, and Crypto Option Valuation"This study explores crypto asset price dynamics, optimal portfolio construction, and valuation methods for crypto options, providing a comprehensive framework for crypto investment and risk management.1. Research ObjectivesIdentify a multivariate model that best explains crypto return distributions.Construct an optimal crypto portfolio by minimizing risk using VaR (Value at Risk) and CVaR (Conditional Value at Risk).Develop a pricing model for crypto options based on crypto assets as underlying securities.2. Research MethodologyData Source: Collected daily closing prices (July 25, 2017 – July 2, 2019) for seven major cryptocurrencies:Bitcoin, Ethereum, XRP, Litecoin, Bitcoin Cash, EOS, Binance Coin.Price Modeling:Applied the ARMA(1,1)-GARCH(1,1) model to capture crypto return volatility.Tested various multivariate distributions for joint modeling.Portfolio Optimization:Used Monte Carlo simulations and backtesting to validate strategies.Measured portfolio risk using VaR and CVaR.Crypto Option Valuation:Applied Esscher transformation to derive risk-neutral pricing.Used Generalized Hyperbolic Distributions for fair value estimation.3. Key Findings1) Crypto Portfolio Diversification Can Reduce RiskWhile individual cryptos are highly volatile, a well-diversified portfolio can stabilize returns, sometimes even outperforming traditional stock markets.This is similar to mixing volatile chemicals to create stable rocket fuel—proper asset allocation enhances stability.2) Portfolio Construction: Identifying Risk Contributors and StabilizersUnderstanding which cryptos reduce risk and which ones increase it is crucial for portfolio construction:Bitcoin (Risk Stabilizer) → Reduces overall portfolio volatility, acting like a buffering agent.EOS (Risk Contributor) → Increases portfolio volatility, akin to adding extra spice to a dish.Portfolio Strategy:Allocating more Bitcoin while adjusting EOS exposure can enhance stability without sacrificing returns.3) CVaR-Based Portfolio Optimization is Most EffectiveMinimizing CVaR (Conditional Value at Risk) results in the most stable long-term performance.CVaR considers extreme losses, making it ideal for crypto risk management.Investors should focus on how much they might lose in worst-case scenarios, not just average performance.4) New Valuation Framework for Crypto OptionsProposed a novel approach to pricing crypto options, crucial for the nascent crypto derivatives market.As crypto option markets mature, this framework can guide fair pricing and hedging strategies.However, market realities (e.g., liquidity constraints, transaction fees) must also be considered.ConclusionThis study demonstrates that crypto investing can be stabilized through diversification and risk management, despite its inherent volatility.It also highlights the potential of crypto options as an emerging asset class, offering hedging opportunities and structured investment products.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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Analyzing the Effectiveness of Long-Short Strategies in the U.S. Mid-Cap Equity Market (Dec 17, 2024)
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Analyzing the Effectiveness of Long-Short Strategies in the U.S. Mid-Cap Equity Market (Dec 17, 2024)
"Market-Neutral Strategies in Mid-Cap Portfolio Management: A Data-Driven Approach to Long-Short Equity"This paper examines the effectiveness of a market-neutral long-short strategy in the U.S. mid-cap stock market, leveraging market inefficiencies and quantitative optimization techniques.1. Research ObjectivesDevelop an effective long-short strategy that exploits inefficiencies in mid-cap stocks.Optimize portfolios using financial indicators such as profitability, valuation, and liquidity.Assess stability and resilience across different market conditions.2. Research MethodologyUsed U.S. stock data (2013-2023) sourced from WRDS and Compustat.Ensured point-in-time (PIT) compliance to prevent data leakage.Applied data preprocessing techniques such as outlier removal, multicollinearity adjustments, and feature selection.Maintained market neutrality while optimizing portfolios based on profitability, valuation, and liquidity factors.Conducted backtesting across various market conditions to evaluate strategy performance.3. Key Findings1.High Sharpe Ratio Achieved:The backtested strategy (2013-2023) produced a Sharpe ratio of 2.132, demonstrating strong risk-adjusted returns.2.Effectiveness of a Data-Driven Approach:Combining fundamental factors (profitability, valuation, and liquidity) proved to be highly effective.Reinforces the importance of fundamental analysis in investment decision-making.3.Stability and Resilience of Market-Neutral Strategy:Backtesting across different market conditions confirmed the strategy’s robustness and consistency.Suggests that the strategy is not overly dependent on specific market trends.4.Optimization Enhances Risk Management:Portfolio optimization effectively controlled risk while outperforming market benchmarks.The balanced long-short position reduced exposure to market volatility.ConclusionThis study confirms that a market-neutral long-short strategy can generate stable returns in the mid-cap segment. By leveraging data-driven optimization techniques, the strategy effectively exploits market inefficiencies while maintaining stability across market conditions.A high Sharpe ratio indicates superior risk-adjusted returns, reinforcing its advantage over traditional benchmarks.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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4 months ago
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Simulation of Human Stock Traders' Chart Analysis Methods Using Deep Learning Models (Apr 8, 2024)
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Simulation of Human Stock Traders' Chart Analysis Methods Using Deep Learning Models (Apr 8, 2024)
This study aims to simulate the methods of human stock traders based on chart analysis using deep learning models. Despite the efficient market hypothesis, inefficiencies exist in the stock market, and deep learning can serve as a valuable tool to capitalize on these inefficiencies and outperform market returns.1. Core ConceptUtilization of Chart Patterns:Professional technical analysts identify specific patterns in historical price charts to predict future price movements. This study assumes that a deep learning model can learn and utilize such chart patterns.Long-Term Data Usage:The model analyzes stock price data from the past 600 days to capture long-term trends.Binarized Returns:The model predicts whether stock prices will rise or fall by 10% or 20% within a specified period (D days). Binarization reduces sensitivity to minor price fluctuations, simplifying model training.2. Data PreprocessingOHLCV Data Collection:Daily Open, High, Low, Close, and Volume (OHLCV) data from South Korea (KOSPI, KOSDAQ) and the U.S. (NYSE, NASDAQ, AMEX) markets are collected.Log Price Transformation:To prevent sharp gradient explosions, logarithmic price data (base 10) is used instead of daily returns.Label Assignment:The model classifies stock price movements into three categories:10% (or 20%) Rise: If the highest price within D days exceeds the current closing price by 10% (or 20%).10% (or 20%) Fall: If the lowest price within D days is at least 10% (or 20%) below the current closing price.Sideways Movement: If neither threshold is met.3. Model ArchitectureResNet-Based Model:The model employs skip connections from ResNet to effectively capture long-term trends. A modified ResNet architecture optimized for time-series data, as proposed by Wang et al. (2017), is used.Input:A 5×600 tensor, where 5 represents OHLCV features and 600 corresponds to past days of stock data.Layers:Five ResNet blocks (each with convolutional layers of kernel sizes 7×1, 5×1, and 3×1).Batch normalization and ReLU activation functions applied.Global Average Pooling (GAP) layer to extract key feature representations.Fully connected (FC) layer followed by Softmax activation to output probabilities for price movement categories (10% rise, 10% fall, sideways movement).4. Model TrainingLoss Function: Binary Cross Entropy (BCE).Optimization Algorithm: Not specified.Epochs: 50.Batch Size: Not specified.Precision: 16-bit floating-point precision.Training Duration: 1.5 days for Korean stock data, 5 days for U.S. stock data5. Key Experimental ResultsSouth Korea Market Performance:Annualized return: 75.36%Sharpe ratio: 1.57Outperformed simple market investments and achieved significantly higher risk-adjusted returns.U.S. Market Performance:Annualized return: 27.17%Sharpe ratio: 0.61Outperformed NASDAQ, S&P 500, and Dow Jones benchmarks but underperformed AMEX.Still demonstrated superior performance compared to major indices.Impact of Softmax Logit Thresholds:Adjusting the Softmax logit threshold significantly influenced backtesting results.Optimized threshold selection enhanced accuracy and reduced trading risks.These findings suggest that deep learning-based chart analysis can be an effective strategy for outperforming market returns. The model's superior performance in the Korean market suggests that chart patterns may be more useful in relatively inefficient markets.In contrast, the model’s lower performance in the U.S. market may be due to higher market efficiency, making it harder to extract excess returns solely from chart analysis. However, the study highlights the potential for improving performance by fine-tuning Softmax logit thresholds, making this an essential aspect of trading strategy optimization.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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4 months ago
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Improving MACD Technical Analysis by Optimizing Parameters and Modifying Trading Rules: Evidence from the Japanese Nikkei 225 Futures Market (Jan 12, 2021)
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Improving MACD Technical Analysis by Optimizing Parameters and Modifying Trading Rules: Evidence from the Japanese Nikkei 225 Futures Market (Jan 12, 2021)
This study explores how optimizing MACD (Moving Average Convergence Divergence) parameters and refining trading rules can enhance profitability in the Nikkei 225 futures market. While the traditional MACD settings (12, 26, 9) performed poorly between 2011 and 2019, the study finds that optimized parameter values significantly improved returns. Additionally, applying additional trading strategies helped reduce false signals and further enhance performance.Key Findings:1. Limitations of Traditional MACDThe standard MACD settings (12, 26, 9) were ineffective in the Nikkei 225 futures market.This suggests that a one-size-fits-all approach does not work, as different markets exhibit unique price movement patterns and volatility levels.2. Importance of Parameter OptimizationOptimizing the short-term EMA, long-term EMA, and signal line values is crucial for improving MACD performance.For instance, using optimized parameters (e.g., 4, 22, 3) led to significant performance improvement, highlighting the need for market-specific adjustments.3. Enhancing MACD with Additional StrategiesTo further improve accuracy and reduce false signals, the study introduces three additional trading rules:n-Day Holding Strategy: Holding positions for n days after a trading signal to prevent premature exits.x%-Line Crossover Strategy: Trading only when the MACD line crosses a certain threshold, reducing whipsaws.Peak/Bottom Search Strategy: Identifying the first peak or bottom of the MACD histogram before entering a trade.These strategies only worked effectively when paired with optimized MACD parameters, suggesting synergy between parameter tuning and additional filtering rules.Investment Strategy RecommendationsOptimize MACD settings: Perform backtesting to identify the best-fitting MACD parameters for each market.Utilize additional strategies: Apply holding periods, crossover filters, and peak/bottom detection to enhance accuracy.Implement risk management: Use stop-loss orders and position sizing to limit downside risk.ConclusionTo maximize MACD effectiveness in the Nikkei 225 futures market, traders must customize MACD settings based on market characteristics and integrate additional filtering strategies to reduce false signals and enhance profitability.Cautionary NotesResults are based on data from 2011-2019, and performance may vary in different timeframes or markets.Past performance does not guarantee future results, and traders should apply rigorous testing before implementing strategies.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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3 Ways to Avoid the Mistake of Selling Profitable Stocks Too Early (Dec 2, 2022)
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3 Ways to Avoid the Mistake of Selling Profitable Stocks Too Early (Dec 2, 2022)
SummaryTraders often sell too early and miss out on long-term profits.Three key hints can help avoid panic selling.It’s essential to learn rational trading instead of relying on emotional logic.As the impending recession frightens investors, many traders immediately sell stocks after hearing the cynical outlook of JPMorgan Chairman Jamie Diamond. Although history shows that the market always recovers, investors repeatedly oscillate between rational and panic selling.The S&P 500 index has increased 119-fold since 1969. As Morgan Housel explains in his book The Psychology of Money, "Investors should simply sit back and let their money grow." Despite various major global crises affecting the market, those who held onto the S&P 500 reaped enormous rewards. A famous adage—“Time in the market beats timing the market”—aptly illustrates that market timing is nearly impossible.Time and the power of compounding naturally drive success, so why do people sell too early?As a behavioral economist, I train traders to remain emotionally resilient during economic turmoil. I help them develop the strength to withstand volatility and the discipline to avoid premature selling. In this article, I share three tips that can benefit traders of all sizes.Why Do Investors Sell Too Early?First, let’s examine why traders fall into this trap. Trading is an emotional game rather than an analytical one. Research in behavioral finance and emotional regulation supports this assertion. Traders often incur losses not because they overlook flaws in a company’s financials, but because their emotional rules compel them to sell as soon as a stock’s price falls.Economic downturns, wars, and pandemics may temporarily damage the market, yet the data shows that doing nothing during these periods can still yield profits.1. Reaching Fair Value: Overcoming Emotional BiasHalo Effect:Traders become overly attached to a successful position, delaying the sale even when it is warranted.Loss Aversion:The natural aversion to realizing losses makes traders wait for a rebound in underperforming positions.Solutions:Quantify Qualitative Judgments:Assign measurable values to factors like a company’s competitive moat, management quality, and financial stability. Compare these metrics across your holdings to replace lower-ranked assets.Blank Slate Test:Imagine rebuilding your portfolio from scratch. This exercise helps remove emotional attachments and forces a more objective selection of assets.Maintain Terminal Inputs:Avoid frequently changing the final assumptions (growth, risk, profitability) in your DCF model.Regularly Review Business Characteristics:Instead of selling at the market cycle’s peak, consider liquidating positions when market sentiment is excessively exuberant.Partial Selling:For quality companies, reduce your position gradually rather than liquidating entirely.Set a Fair Value Range:Rather than fixating on a single fair value number, establish an expected outcome range to allow for flexibility.2. Theme Change: Coping with Shifts in Investment RationaleCompanies evolve over time and may experience unexpected events such as mergers, acquisitions, or CEO changes.Investors can become fixated on past decisions, even when the original investment thesis no longer holds.Solutions:Document Preliminary Sell Reasons:Record the risk factors and expectations you had at the time of investment, and review these notes if those factors materialize.Detect Warning Signals:Pay attention to indicators such as management changes or shifts in business segments—especially those that erode the company’s competitive moat.Philip Fisher’s Three-Year Rule:Consider selling if the company fails to meet performance expectations within three years, as a way to prepare for potential inertia.3. Protect Yourself from Habitual BehaviorNobel laureate Richard Thaler discovered that dinner guests tend to ruin their appetite with finger foods. To ensure guests wait for the main dish, he suggested clearing away the snack bowl from the table.Today, trading is easier than ever. Mobile applications make it simple to tap the “sell” button. To avoid panic selling, you must protect yourself from your own habits. Changing your behavior requires both physical and mental improvement.Tip No. 1: Trade Only on a Desktop ComputerJust as you wouldn’t eat when you’re not hungry, don’t sell when it isn’t necessary. The first tip to eliminate impulsive trades is to trade only on your desktop computer. Behavioral experts compare trading to gambling; traders will do anything to avoid losses while chasing high profits. Most people touch their phones around 2,617 times a day, constantly checking the latest stock prices. Even a small piece of market news suggesting chaos can trigger an unconscious sell order.Tip No. 2: Hire an Asset ManagerAre you managing all your assets yourself? My second tip is to delegate at least 80% of your portfolio to an asset manager. Directly controlling every asset exposes you to significant risk. The media may tempt you to sell solid stocks like Alphabet (GOOG), even when market conditions do not justify such a move, especially when volatile assets like cryptocurrencies are involved.Protect yourself by relying on professionals. Unlike self-managed portfolios, asset managers typically work within systems designed to eliminate emotionally driven trades. Keep only up to 20% of your cash under your direct control and delegate the rest to experts.Tip No. 3: Apply Simulation TheoryMy final advice is to expand on the simulation heuristic: the more you simulate a scenario, the more plausible it sounds, and eventually, you start accepting it as reality. Just as a small, clumsy lie can grow and become more elaborate over time until you believe your own fabrication, simulation theory teaches you to manage your expectations in volatile markets. If you can predict price fluctuations, you’re more likely to avoid impulsive selling. In essence, simulation theory is a mindset: “I know this stock will undergo a turbulent journey for the next 10 years, and I’m prepared for it.”Morgan Housel recommends holding value stocks for up to 30 years. During that period, multiple downturns—including recessions (on average every six years), pandemics, wars, and inflationary episodes—will occur. Acknowledging that volatility is 100% inevitable over a long investment career is a crucial step in emotionally preparing for a rollercoaster ride.There’s one volatility predictor that might surprise you. If you hold shares of Meta Platforms (META), be prepared for a rough ride. One study found that companies with strong CEOs can experience more price volatility. With Zuckerberg holding over 54% of the voting rights, this is not a reason to avoid selling META stock. Rather, it means you should apply simulation theory and anticipate volatility.In Conclusion...Removing the human element from trading can help prevent costly mistakes. Protect yourself and prepare mentally for market volatility. The three tips I have provided can help minimize human interference in trading and build emotional resilience. By trading only on your desktop to prevent impulsive selling, hiring an asset manager to avoid emotionally driven trades, and applying simulation theory to brace yourself for challenging market conditions, you can safeguard your investments. As Warren Buffett once said, “My life is the product of compounding.” Like Buffett, you should let your investments compound by holding onto them.
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Who's raising our rates?(May 22, 2000)
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Who's raising our rates?(May 22, 2000)
Who are these guys, and why are they jacking up the nation's rent, so to speak, by raising the cost of credit-card, car-loan, home-mortgage and other debt?In one sense, last week's stiff interest-rate hike by the Federal Reserve's little known Federal Open Market Committee was a no-brainer, given the still sizzling growth of the U.S. economy. But in another sense, the panel's increase in the so-called federal-funds rate from 6% to 6.5% marked a spectacular wager on your future, with your money, by 10 unelected and largely unknown officials operating behind closed doors. By raising the rate that underpins most other borrowing costs to its highest level in nine years, the committee is hoping--make that praying--to cool the economy and forestall ruinous inflation without jeopardizing the longest-running expansion in U.S. history.Such high-stakes crapshoots are routine for the FOMC, a secretive body whose ability to raise or lower interest rates makes it perhaps the second most powerful group of appointees in Washington--behind only the Supreme Court. Led by Federal Reserve Chairman Alan Greenspan--the one member with star wattage--the panel gathers eight times a year around a 27-ft. 11-in. black granite and mahogany table to issue diktats that are feverishly parsed on Wall Street and around the world. The members are the seven Fed governors, plus five of the 12 regional Federal Reserve Bank presidents at a time. (Two governors' seats are currently vacant; a Ph.D. in economics will help if you'd like to apply.) The remaining bank chiefs are nonvoting but vocal participants.While the press tends to treat Greenspan as the sole author of interest-rate policies, insiders and Fed watchers know that is hardly the case. Greenspan, actually considered a moderate among the group's inflation hawks and doves, is clearly first among equals and exerts a considerable influence over the FOMC. But as a careful consensus builder, he is also at pains to stake out positions that the rest of the committee can live with--and thereby avoid any risk of being embarrassed by a close vote. "There is a limit to how far the chairman's influence can be extended," Fed governor Laurence Meyer recently explained. "A good chairman sometimes has to lead the FOMC by following the consensus within the committee."What confronted this increasingly hawkish panel last week was a maverick economy that simply refuses to do what it's told. The Fed had raised rates a quarter of a percent--or 25 basis points, in the lingo--no fewer than five times since last June, with little tangible impact on either GDP growth or unemployment. Joblessness stood at just 3.9% in April, its lowest level in three decades. This persistent lack of idleness sent shivers up the spines of FOMC members, who fear that tight labor markets will lead to inflationary wage increases. To make matters worse, from a Fed perspective, the economy expanded at a brisk 5.4% clip in the recent first quarter, well above the presumed 3.5% to 4% "speed limit" that many economists have viewed as the upper range for growth without inflation."There is real frustration within the FOMC," says Fed watcher David Jones of the Aubrey G. Lanston investment firm. "Borrowing costs have been going up for more than a year, and yet no one seems to care. The Fed is asking 'What does it take to get the consumer's attention?'" The FOMC's answer: its first 50-basis-point increase in the federal-funds rate--the interest that banks charge one another for overnight loans--in five years, plus a stern warning that you can expect another boost when the committee meets again next month. (What should you do about your finances? See following story.)Ironically, the Fed's get-tough stance came just hours after a Commerce Department report showed that the "core" rate of inflation (the Consumer Price Index with volatile food and energy prices omitted) had fallen to an annual rate of 2.4% in April, down from 4.8% in March. That led Senator Tom Harkin, an Iowa Democrat, to denounce the FOMC increase as "clearly excessive" at a time when "accelerating inflation is not apparent." If this continues, says Harkin, "our economy is going to bleed to death." In other words, the Democrats need a slowing economy in an election year like they do another Monica.Last week's hawkish increase marked a clear departure from the gradualist policies that Greenspan had championed for years. "Three years ago," recalls former Fed vice chairman Alice Rivlin, "some [FOMC] members were worried about the economy overheating. But I wasn't, and neither was Greenspan." Both argued that technology was making workers more productive and stifling inflation. The FOMC thus opted for a string of small rate hikes that became a hallmark of Greenspan's cautious approach to monetary policy.But this spring the chairman reset his course, and other doves on the panel found themselves in full retreat. The tough new thinking was reinforced by the arrival of voting members like Jerry Jordan, president of the Federal Reserve Bank of Cleveland (Ohio). "There is [agreement] right now that the economy is growing too rapidly," Rivlin says. The moral: "If you step on the brakes a little and the car doesn't slow down, then you need to step on them a bit harder the next time."The stubbornly strong growth convinced Robert McTeer, president of the Federal Reserve Bank of Dallas, that larger rate increases may be appropriate this year. McTeer, whose voting term expired last December, had been the only panelist to dissent from Fed tightening in 1999. "I believed, unlike some others, that productivity gains were keeping inflation sufficiently in check," McTeer says. "But as we moved into 2000, the signals from the economy were fairly clear cut. There was little question in anyone's mind that inflationary pressures were building."Nor was there much doubt on Wall Street about what the Fed panel was planning. Just two weeks ago, Robert Parry, the president of the Federal Reserve Bank of San Francisco and a voting member, strongly hinted at the outcome by declaring in a speech "We have moved cautiously, but that doesn't mean we only have a single note to play."The curtain went up promptly at 9 a.m. last Tuesday when Greenspan stepped through the doorway that connects his office to the boardroom to signal the start of the FOMC meeting. (The room sports a large map of the U.S. at one end and, at the other, a fireplace with a bronze sculpture of Demeter, the Greek goddess of agriculture and fertility.) Instead of taking his usual place at the head of the table, Greenspan pulled out a chair in the middle--a move that highlighted his desire to forge a consensus but set off a round of musical chairs to preserve the customary seating plan in relation to the chairman.The meeting commenced, as all do, with the approval of the minutes of the last gathering--this is a government bureaucracy, after all--and some staff reports. Then a "go-round" took place in which the presidents and Fed governors discussed the economic outlook, each having had access to two briefing books bulging with fresh data and policy choices. Then it was Greenspan's turn, the meeting's moment of truth, when he delivers his interest-rate recommendation and the rationale for it. "Greenspan always has some striking insight, or some number that no one else has ever heard of before," notes Fed watcher Jones.The complete transcript of what the chairman and other FOMC members said won't be released for five years, yet Fed watchers have little doubt that most speakers expressed exasperation at the refusal of the expansion to knuckle under to past rate increases and stressed their determination to try again.Nor did students of the Fed see any sign of dissent from the doves. "In the old days," says economist Kevin Flanagan of Morgan Stanley Dean Witter, "there was a debate over who was an influential hawk and who an influential dove." But today, Flanagan notes, any policy disagreements tend to vanish into Greenspan's carefully nurtured consensus. Concurs Fed governor Meyer, who has a reputation as a hawk's hawk on inflation: "Many members will voice some disagreement with the chairman's view in the go-rounds. But many of those will vote with the chairman in the end."Having done so, the most powerful monetary movers and shakers on the planet invariably line up for an informal boardroom lunch. Reaching for paper plates and plasticware, the FOMC members help themselves to a buffet that last week featured cold cuts, soft drinks, salads and chocolate-chip cookies--a special favorite of many members. Then they headed back to their offices to watch Wall Street's reaction, while bankers across the country adjusted the loan-rate signs in their windows. --Reported by Bernard Baumohl and Eric Roston/New York and Adam Zagorin/Washington
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CORE16 Model Forecasts June CPI at 2.6 Percent
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CORE16 Model Forecasts June CPI at 2.6 Percent
You can check out CORE16’s proprietary CPI forecasting model at the link below.👉 https://core16-cpi-nowcast.streamlit.app/CORE16 CPI model predicted June CPI (to be announced in July) at 2.6 percent.What is CPI, and Why Does It Need to Be PredictedThe Consumer Price Index (CPI) is not just a basic inflation number.CPI is one of the most important economic indicators that moves interest rates, bonds, and equity markets.The Federal Reserve, in particular, uses CPI as a core reference when setting monetary policy.In that sense, understanding CPI is essentially predicting the direction of the market.But CPI is released with a lag—each month’s figure is reported in the following month.Before the official number comes out, the market has no choice but to rely on speculation, and that gap in visibility has long created differences in investor timing. To address this gap, the Cleveland Fed developed a CPI nowcasting model.By incorporating high-frequency data such as oil prices, food costs, and gasoline prices,the model provides real-time CPI estimates even before official releases.It is structurally simple, but its speed and interpretability have earned it a strong reputation as a practical tool for market insight.Inspired by the Cleveland Fed, CORE16 built its own CPI forecasting model tailored for domestic investors.Rather than focusing on complex algorithms, the goal was clear:deliver the fastest and most reasonable estimate based on the latest available data. The CORE16 model updates daily in real time.Between 2024 and March 2025, it reduced forecast error by approximately 20 percent compared to existing methods.Looking ahead, CORE16 plans to expand beyond CPI to cover employment data, retail sales, corporate earnings outlooks, and more.Our mission is to help investors see the market more clearly and respond faster—through data-driven insight and proactive decision-making.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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