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反驳VLN拉高出货论，强调其基本面重定价及数据污染问题。
这是一次重定价事件，基于一家拥有三星、LG、奔驰等客户的正规半导体公司的资产负债表，模型显示其价值从-8200万美元开始调整。 如果你认为 $VLN 是“拉高出货(pump and dump)”，那你完全误解了，因为目前所有算法和大语言模型(LLM)仍在使用受污染的数据。 这纯粹是信息发现过程，市场正在对此进行定价。 如果你想了解财务状况而不仅仅是看市值，我建议你阅读我的置顶帖子。
英文原文
This is a repricing event from -$82 Million modeled off the balance sheet of a legitimate semiconductor that has Samsung, LG, Mercedes and others as customers. You’re completely misunderstanding if you think $VLN a pump and dump when every algorithm and LLM still use contaminated data. This is purely information discovery and markets pricing it in. I’d suggest you read my pinned post if you want to understand the financials rather than just looking at marketcap.
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AI模型数据污染需VLN人工审核
@ENTJ_46 例如，对于 Opus 模型，^ 它们都使用了受污染的数据，这需要借助 $VLN 进行人工审核 https://t.co/wTpg2BTVYn
英文原文
@ENTJ_46 Eg. With opus, ^ they all use contaminated data, and this requires manual review with $VLN https://t.co/wTpg2BTVYn
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指出算法误判$VLN财务数据导致做空，散户提前发现真相。
$VLN 零债务，持有 $9350 万现金和 $1100 万库存。几乎所有基于 $VLN 筛选器和数据网站污染数据建模的算法或大语言模型(LLM)都误以为其因 -$8200 万库存消耗导致的 $1 亿成本将在一年内破产。这一错误至今未纠正，因此周五出现了大量算法做空。只有 X 上的散户(Retail)早期发现了这一点。
英文原文
$VLN has 0 debt, $93.5M cash and $11M in inventory. Almost every algorithm or LLM modeled off of contaminated data from $VLN screeners and data sites thinking they will go under in 1 year from $100m in costs from -$82m inventory burn. This is still not corrected yet so we saw a ton of algorithmic shorts on Friday. Only retail on X found out about this early
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列举CRDO、VLN及AXTI因非基本面因素暴跌，指出市场虽蠢但终会修正。
市场有时极其愚蠢。$CRDO 因线缆颜色变化引发的波动就是完美例证。就在过去两周，$VLN 也因股票代码冲突（ticker collision）导致股价与现金/市值几乎 1:1 挂钩；而 $AXTI 则因 2026 年误报为 2024 年的合同收益延迟披露而暴跌 40%。市场最终会自我修正。
英文原文
Markets are extremely dumb sometimes. $CRDO cable color changes was the perfect example. Just this past two weeks there was also $VLN trading close to 1:1 with cash / MC because of ticker collision and $AXTI selling off 40% because of delayed 2024 contracted earnings when it's 2026. Markets correct themselves eventually.
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CRDO因市场误读亚马逊线缆颜色大跌后反弹，作者批评市场逻辑幼稚。
$CRDO 现已回升 15.47%+。 有趣的是，仅仅因为 $AMZN 不喜欢紫色线缆，Credo 的市值就被抹去了数十亿美元。 Credo：“我们同比增长了 272%，每股收益超出预期 35%。” 市场：“是啊，但那些线缆是紫色的吗？” 有时市场很愚蠢，用幼儿园级别的逻辑进行交易。 https://t.co/L2RjbB04GM
英文原文
$CRDO is now back up 15.47%+. It's funny billions were wiped from Credo just because $AMZN doesn't like Purple. Credo: "We grew 272% Y/Y and beat earnings by 35%." Market: "Yeah, but are the cables Purple?" Sometimes markets are stupid and trade off Kindergarten logic. https://t.co/L2RjbB04GM
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澄清 $VLN 基本面，反驳 Reddit 误解，指出其财务健康及机器人业务增长。
哈哈，Reddit 大概是我互动的最蠢的群体。如果你读过我在 Reddit 的帖子，我会故意关闭大脑去和社区互动。 不幸的是，你现在在 X 上。 你们唯一说对的就是他们是以色列公司。除此之外，他们确实制造芯片组。名字里就有“半导体”这个词。 他们的信息在公开文件中，因为这是纽约证券交易所监管的半导体公司，我不知道你们指的“缺失信息”是什么。这不是那种拉高出货的中国仙股，而是一家拥有从三星到梅赛德斯等一线客户的真正半导体公司。 公司现金为 9350 万美元，不是 3000 万。他们零债务。任何“投资”可能只是让人混淆的存入国债的现金。 你们看到的一些负债是行权价为 11.5 美元的认股权证、运营支出或以股票形式支付的股权激励。第三季度每股收益为 -0.04 美元，而在 2026 年底转为正数，如果他们刚刚为机器人领域推出新芯片并以 40% 的年增长率扩张，这是极好的事情。 直接去看他们的实际财报，而不是像 MarketWatch 这样的扫描器。帖子的部分重点就是他们混淆了纽约证券交易所的 $VLN 和多伦多的 $VLN。
英文原文
lol Reddit is perhaps the dumbest group i interact with. If you read my Reddit posts I turn off my brain on purpose to interact with the community. Unfortunately you’re on X now. The only thing you got right was that they’re from Israel. Aside from that they literally make chipsets. There’s the word Semiconductor in its name. Their information is in public filings since it’s a regulated semiconductor on NYSE, I don’t know what “missing information you’re referring to”. This is not a pump and dump Chinese penny, it’s an actual semiconductor firm with t1 customers from Samsung to Mercedes. The company has $93.5 million in cash not $30 million. They have 0 debt. Any “investments” might just be confusing cash deposited in treasuries. Some of liabilities you see are $11.5 strike warrants, opex, or equity bonuses paid out in shares. -.04 EPS q3 earnings while shifting to positive late 2026 is a extremely good thing if they just created a new chip for the robotics sector and are growing it 40% y/y Go directly to their actual earnings, not scanners like market watch which was paetly the point of the post was that they’re conflating $VLN NYSE with $VLN Toronto.
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看好$VLN长期持有，认为其估值仍有翻倍空间且机器人业务前景广阔。
是的，我研究得越深入就越喜欢它。我个人持有 $VLN 股票超过1年。其他人可以随意使用这些信息。我的思路是，市场可能需要一些时间才能将14-18倍市销率(EV/Revenue)这样的溢价计入股价。但即使短期来看，5-7倍市销率也更有可能，这仍然大约是当前股价的两倍。此外，其增长最快的业务板块利润率极高，我预计机器人(Robotics)将成为2026年及2027年的巨大主题。
英文原文
Yeah the more I look into it the more I like it. I’m holding personally holding my $VLN shares 1Y+. Others can do whatever they want with the information. My thought process is that it would likely take some time to price in premiums like 14-18 ev/revenue anyway. But even short term something like 5-7 is more likely, which is still around double current prices. Also it’s extremely high margin too for their fastest growing segments, and I expect robotics to be a huge theme in 2026 and into 2027.
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博主回应夸奖，表示乐于分享信息综合，由市场验证观点。
@Ren_aramb 你太抬举我了哈哈。 我确实喜欢发布关于 $VLN、$CRDO 或其他标的的信息综合(Information Synthesis)。有趣之处在于，市场最终会裁定这些观点是对是错。
英文原文
@Ren_aramb You flatter me too much lol. I do enjoy posting information synthesis on stuff like $VLN, $CRDO or others. The fun part about it is markets will ultimately decide if it’s right or wrong
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自建数据管道发现$VLN异常，强调人工复核优于算法。
谢谢，我自建了类似 Citadel 的数据管道，在研究机器人板块股票时发现了 $VLN。这可能是我迄今发现的最大异常，因此我不得不手动将财务报告与分析师/扫描器报告进行交叉核对，以验证其真实性。即使算法 + 大语言模型(LLM) 也搞错了这一分析，只有人工审查才能发现这种差异。
英文原文
Thanks, I built my own Citadel-like data pipeline and I was researching robotics sector stocks and came across $VLN. This was probably one of the biggest anomalies I've ever found so I had to manually cross-check financial reports with analyst/scanner reports to see if it were true. Even algorithms + LLMs got this analysis wrong, so only manual review could spot this discrepancy.
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VLN估值严重偏低，基本面显示其存在巨大重估空间。
你拥有一家拥有8000万美元远期营收、英伟达($NVDA)级别毛利率的无晶圆厂机器人半导体公司，其现金/库存与市值之比接近1:1。即便在上涨60%后，$VLN的市值/营收(EV/revenue)比率仅为2.4倍，而同类公司的交易区间在14-18倍之间。若重估至标准的10倍EV/revenue，其价格将是当前价格的3倍以上。这就是为什么自己进行基本面估值计算比看百分比变化要好，因为这看起来像是算法幻觉导致的极端错误定价。
英文原文
You had a $80m forward revenue, $NVDA-margin fabless robotics semi trading close to 1:1 cash/inventory to marketcap. Even after 60% run $VLN literally sits at 2.4 EV/revenue, while similar companies trade between 14-18. Re-rating to a standard 10 EV/revenue would be over 3 times+ current prices. This is why it's good to do the fundamental valuation math yourself rather than looking at percentage changes since this looks to be extreme mispricing from algorithm hallucination.
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发现机器人供应链标的$VLN估值极低，认为其严重被低估。
谢谢，$VLN 是我在研究机器人供应链时的一项惊人发现。我无法相信一家拥有 8000 万美元以上远期收入、且其增长的机器人业务毛利率高达 69% 的公司，其交易价格几乎与现金和库存余额 1:1 持平。即使在周五之后，$VLN 2.4 倍的 EV/Revenue（企业价值/收入）倍数看起来也完全不合理，因为相关公司的交易倍数为 14-18 倍，若有溢价甚至超过 30 倍。
英文原文
Thanks, $VLN was just an incredible discovery when I was looking through robotics supply chains. I'm in disbelief that a company with $80M+ forward revenue with 69% gross margins from their growing robotics segments was trading almost 1:1 with their cash and inventory balance. Even after Friday, 2.4x EV/revenue on $VLN just looks completely off when related companies trade at 14-18 multiples, or even 30+ if there's premiums.
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VLN转型高毛利AI业务，巨额现金消耗压制当前估值。
-8200万美元的现金消耗产生了极其巨大的实质性影响。 我来回顾一下历史： 去年，$VLN 还是一家低毛利（毛利率仅40%出头）、单一客户依赖梅赛德斯-奔驰的汽车芯片制造商，且该业务板块下滑了37.9%。 自那以来发生了许多实质性变化，他们成功将核心知识产权转型为适用于机器视觉机器人到医疗垂直领域等广泛应用的新型芯片组，实现了类似 $NVDA 69-70%的高毛利率。 该新业务板块目前占其收入的75%以上（同比增长40%+），而其汽车板块则下降了37%+。 如果模型中没有计入这-8200万美元的现金消耗，鉴于机器人和AI领域的估值溢价，Valens 今天的股价可能已超过10美元以上，对应10-12倍的EV倍数（即便这仍偏低）。 但你可以基于上述财务数据自行得出估值结论。
英文原文
-$82M burn made a extremely, extremely big material difference. I'll give you some history: $VLN last year was a low margin, automotive chipmaker (low 40's gross margin) and single supplier dependent on Mercedes, with this segment declining -37.9%. There's been a lot of material changes since then, and they were able to pivot their core IP to a new chipset for broad applications from machine vision in robotics to medical verticals, with $NVDA like 69-70% gross margins. That vertical now makes up 75%+ of their revenue (growing 40%+ Y/Y), while their automotive segment decreased 37%+. If there was no -$82M burn modeled, Valens might be trading above $10+ today with 10-12x EV Multiple (on the low end still) given to robotics and AI segments. But feel free to come up with your own valuation metric based on the financials above.
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指出$VLN因数据错误被算法低估，实为高毛利AI芯片股，建议手动建模验证。
Valens 在 $2.5 的价格看起来存在极端的错误定价。 所谓的 -8200 万美元库存消耗（Inventory Burn）是一个巨大的数据错误，很可能是由于 $VLN 和 $VLN 多伦多股票代码冲突（Ticker Collision）导致的。 散户投资者已经提前发现了这个 Alpha（超额收益机会）。 然而，算法尚未察觉，因为它们仍在基于 -8200 万美元的消耗建模负企业价值（Negative EV）（这需要人工修正）。 鼓励大家从 Stonegate、Streetwise 和扫描器上发布的财务数据中，对以下所有信息进行事实核查，特别是关于 -8200 万美元的错误。 $VLN 因其 2.55 亿美元的市场规模而被严重误解。 这并非因为公司质量，也绝对不是某种“拉高出货”的中国仙股。而是由于算法定价在 -8200 万美元消耗导致的一年内跑道（Runway）不足而受到的人为压制。 这是一家被极度错误定价的 AI 和机器人无晶圆厂（Fabless）芯片制造商，拥有： - 梅赛德斯 - 三星 - Mobileye (EyeQ6) - 西门子 - Logitech 以及许多其他领先的 OEM 和机器人公司作为客户。 $VLN 拥有： - 零债务。 - 9350 万美元现金和 1100 万美元以上的库存。 - 1100 万美元以上的库存。 - 约 8000 万美元以上的预计远期收入。 - 其机器人/机器视觉/工业垂直领域的毛利率为 69.1%（同比增长 40%）。汽车板块的混合毛利率将其拉低至 63.0%。 如果你想比较类似的公司： - Lattice $LSCC 交易在约 19 倍和 23 倍 EV/Revenue（企业价值/收入比）。 - Macom $MTSI，交易在约 13 倍和 16.5 倍 EV/Revenue。 Valens 的交易价格为： 2.4 倍。这看起来像是一个故障（Glitch）。 即使是非溢价、毛利率 20-30% 的公司，交易倍数也在 4-5 倍。 我们现在看到一家拥有 $NVDA 级别毛利率的无晶圆厂芯片制造商，在机器人机器视觉到 AI 汽车领域存在极端的错误定价。 最后一点： 我鼓励每个人根据财务数据自己做估值建模。 然后对 -8200 万美元的错误进行尽职调查。 也许你会得出与我相同的结论，即在 $2.5 时存在极端的错误定价。 你拥有一家无债务、拥有 $NVDA 级别毛利率的机器人/AI 领域无晶圆厂芯片制造商，拥有 Tier-1 客户，但由于技术报告错误而以困境倍数交易。 这可能是历史上散户发现的最罕见时刻之一。
英文原文
Valens looks like extreme mispricing at $2.5. The -$82M inventory burn was a massive data error, likely from ticker collision between $VLN and $VLN Toronto. Retail has found out about the alpha early. Yet algorithms have not caught on yet, as they're still modeling negative EV from -$82M burn (this requires manual correction). Everyone is encouraged to fact check everything below from financials posted to -$82M error on Stonegate, Streetwise, and scanners. $VLN is heavily misunderstood due to its $255M market cap size. This is not due to company quality and it's definitely not some pump and dump Chinese penny stock. But an artificial suppression from algorithmic pricing in <1Y runway from $82m burn. This is a extremely mispriced AI & Robotics fabless chipmaker with: - Mercedes - Samsung - Mobileye (EyeQ6) - Siemens - Logitch and many other leading OEMs and Robotics companies as customers. $VLN has - Zero Debt. - $93.5 Million Cash and $11M+ in Inventory - $11 Million + in inventory. - ~$80M+ est. forward revenue - 69.1% gross margins on their robotics/machine vision/industrial vertical (growing 40% Y/Y). Blended margins from their automotive segment brings it down to 63.0%. If you want to compare similar companies: - Lattice $LSCC trades around 19x and 23x EV/Revenue. - Macom $MTSI, trades around 13x and 16.5x. EV/Revenue. Valens trades at: 2.4x. Which looks like a glitch. Even non-premium, 20-30% gross margin, companies trade at 4-5x. We now see an extreme mispricing of a $NVDA-margin fabless chipmaker in verticals for machine vision in robotics to AI automotive sectors. Final Point: I encourage everyone to do valuation modeling themselves from the financial data. And then do due diligence on the -$82M error. Maybe you'll come to the same conclusion that I did regarding the extreme mispricing at $2.5. You have a debt-free, $NVDA-margin fabless chipmaker in the robotics/AI space with Tier-1 customers, trading at a distressed multiples likely due to a technical reporting error. This might be one of the rarest moments in history retail has discovered.
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回复网友提问，表示几乎从不。
@KAnalyser1 几乎从不。
英文原文
@KAnalyser1 almost never.
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指出因代码冲突导致的数据错误，反映自动化时代的普遍现象。
@sachbarnes @illyquid 只是直到昨天，大家才意识到纽交所 $VLN 与多伦多证券交易所 $VLN 之间的股票代码冲突导致的“数据错误”。毕竟在这个时代，几乎一切都是自动化的，并非每个人都会手动核实分析师和扫描器发布的每一个数字。
英文原文
@sachbarnes @illyquid It's just that nobody realized data error from ticker collision between $VLN on NYSE and $VLN on TSX until yesterday. Not everyone fact manually checks every number posted by analysts and scanners. In this day in age anyway, almost everything is automated.
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更正某公司现金及库存数据。
@illyquid 更正* 手头现金 $9350 万 + 库存 $1100 万。
英文原文
@illyquid correction* $93.5m cash on hand + $11m inventory.
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作者驳斥对$VLN的误解，基于高毛利、大客户及低估值论证其做多逻辑。
我认为这很大程度上源于极度的认知缺失。欢迎人们核实所有信息，从财报数据到 Stonegate、Streetwise 和扫描器发布的 -8200 万美元技术故障。$VLN 并非随机的中国仙股炒作，其机器人垂直领域（主要收入来源）拥有 8000 万美元以上的远期营收，且毛利率类似 $NVDA 达 69-70%，同时持有 9500 万美元现金和 1100 万美元库存。它也并非无名之辈，三星、Mobileye、梅赛德斯、罗技、西门子等众多 OEM 及机器人+AI 公司均为 $VLN 的客户。$VLN 在 2.5 美元时交易估值约为 2.5 倍 EV/Revenue，而 Lattice、Macom 等类似公司交易估值为 14-18 倍。我只是在发布关于真实定价错误的观点以及我做多（Long）的原因。市场可以随意定价，我强烈建议大家自行研究。此外，最重要的是，这种信息发现有助于这家被压制的芯片制造商的员工在市场开始纠正关于库存消耗的错误信息时重新成长。
英文原文
I think a lot of it comes from an extreme lack of understanding. People are welcome to fact check everything from financials posted to the -$82m technical glitch that Stonegate, Streetwise, and scanners all posted. $VLN isn't some random pump and dump Chinese penny stock, they have $80m+ forward revenue off 69-70% $NVDA like margins for their robotics vertical (majority of revenue) and $95M cash + $11m Inventory. It's not unknown either, Samsung, Mobileye, Mercedes, Logitech, Siemens, and many other OEMs and robotics + AI companies are $VLN's customers. VLN trades at ~2.5 EV/revenue at $2.5 while Lattice, Macom, and similar companies they all trade at 14-18x. It's just me posting about the genuine mispricing and why I'm long. Markets can price it in however they want and I really encourage people to do the research themselves. Also most of all, this information discovery helps all the employees at this suppressed chipmaker start to grow again if markets start to make corrections based on misinformation about the inventory burn.
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指出Fintel数据延迟，建议用实时数据观察$VLN空头回补引发的波动。
为了帮大家理清，Fintel 等数据源存在延迟。如果你想查看实时资金流向，尤其是周五的情况，可以付费使用 Ortex 或查看实时经纪商数据，以了解 $VLN 的算法做空在周五出了什么问题。你可以看到 IBKR 的可用券源从 220 万股降至 19 万股（这仅是众多经纪商中的一家），即使股价从 $1.7 上涨，由于筛选器尚未修正 -8200 万美元的消耗，数据依然滞后。随着 $VLN 回升至公允价值，空头回补通常会导致更大的价格波动或上涨。
英文原文
So just to help you out, Fintel and others are delayed data. If you want to see live flows, especially on Friday, you can pay for Ortex or look at live brokerage data to see what went wrong with $VLN algorithmic shorts on Friday. You can see 2.2M availability in IBKR drop to 190k (this is just 1 brokerage of many) on the way up even from $1.7 because screeners didn’t correct the -$82m burn yet. As $VLN climbs back to fair value, covering all shares sold short usually leads to more price volatility or increases.
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博主感谢粉丝的积极互动与支持
@retail_mourinho @RJCcapital @meeijer @Courage_wins @YoYInvestor @WheelieInvestor @bodoxstocks @BlackPantherCap @itsRobertBurns @itschrisray @wliang @pepemoonboy @mc_khristina @endless_frank @spacanpanman @accounting_ds @michaelsikand 也感谢你们！谢谢大家的积极态度
英文原文
@retail_mourinho @RJCcapital @meeijer @Courage_wins @YoYInvestor @WheelieInvestor @bodoxstocks @BlackPantherCap @itsRobertBurns @itschrisray @wliang @pepemoonboy @mc_khristina @endless_frank @spacanpanman @accounting_ds @michaelsikand Appreciate you too! Thanks for the positivity
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回复其他用户并附带链接，无具体投资观点。
@meinbergka98213 @basedinwv https://t.co/iRx4y93BvW
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@meinbergka98213 @basedinwv https://t.co/iRx4y93BvW
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研究有时很简单，如理清细节或发现财报差异。
@Lehi88 谢谢！有时候就像搞对 $CRDO 线缆颜色那么简单，或者像这次在 $VLN 上发现分析师报告与资产负债表之间的差异。
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@Lehi88 Thanks! Sometimes it’s as easy as getting the color of the cables right with $CRDO or in this case finding discrepancies between analyst reports and balance sheets with $VLN.
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澄清媒体误报 $VLN 涨幅，指出其实际涨幅与模型预测价不同。
@basedinwv 发现这对 $VLN 来说挺有趣的。不过新闻搞错了，因为它只涨了 58%，也许是将此与我建模预测 $7.00 的价格混淆了 https://t.co/FegV7lXxdi
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@basedinwv Found this amusing for $VLN. News got it wrong though since it’s only up 58%, maybe it conflates that with me modeling it for $7.00 https://t.co/FegV7lXxdi
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分享$VLN财务数据，指出其机器人业务高增长且高毛利，估值具吸引力。
你可以自行进行公允价值计算并做出自己的决定。 我在之前的帖子中提供了关于 $VLN 的指标，但我会在那里重新发布它们： 一家无晶圆厂半导体(fabless semiconductor)公司，市销率(Sales)为2.1倍，市值(MC)为2.53亿美元，拥有： 9355万美元现金，1097万美元库存，零债务 综合毛利率为63%（GAAP）/ 66.7%（Non-GAAP）。 - CIB（企业互联网业务）毛利率：69.1% - 汽车业务毛利率：43.2% 3. 远期营收约8000万美元（同比增长20%以上） 4. 76.3%的营收来自机器人业务板块，其毛利率像 $NVDA 一样达到69%-70% 5. 机器人业务板块营收增长40.4%，而汽车业务萎缩37.9%。增长中的业务（机器人）盈利能力几乎是萎缩业务（汽车）的两倍。
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You can do fair value calculations yourself and make your own decision. I provided metrics in the earlier post about $VLN but I’ll just repost them there fabless semiconductor at 2.1x Sales, $253m MC with: $93.55M Cash, $10.97M in Inventory, Zero Debt Blended Margins of 63% (GAAP) / 66.7% (Non-GAAP). - CIB Gross Margin: 69.1% - Automotive Gross Margin: 43.2% 3. Fwd revenue ~$80M (20%+Y/Y growth) 4. 76.3% of their revenue coming from Robotics segments with $NVDA like 69%-70% gross margins 5. Revenue segments from robotics growing +40.4% while automotive are shrinking 37.9%. The growing part of the business (robotics) is almost two times as profitable as the shrinking part (automotive).
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指出$VLN因数据错误被算法压价，建议自行建模评估其真实价值。
这是算法压价，源于吸收了那笔8200万美元的笔误数据。否则 $VLN 现在可能已经是7美元的股票了。我建议你们自己建模测算一下：一家AI无晶圆厂半导体公司，拥有9300万美元现金、1100万美元库存、7000-8000万美元的年营收、60%以上的综合毛利率，在自动驾驶和机器人计算机视觉领域实现20-30%的同比增长，其估值应该是多少。
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It’s algorithmic price suppression due to ingesting data from the $82m typo. Otherwise $VLN might be a $7 stock by now. I’d suggest you try modeling yourself what a AI fabless semi would be valued at with $93m cash, $11m in inventory, $70-80m yearly revenue with 60%+ blended gross margins, 20-30% y/y growth, in automotive and robotics computer vision segments.
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澄清$VLN无息债，区分负债与债务概念。
@Dexsa18929428 没有债务是正确的。你误解了负债(Liabilities)与债务(Debt)的区别。 $VLN 没有债务，拥有 9350 万美元现金和 1100 万美元库存。债务是指需支付利息的款项。而负债是指运营支出(Opex)成本，或像行权价为 11.5 美元的认股权证(Warrants)以及以股票结算的员工奖金等。
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@Dexsa18929428 No debt is correct. You’re misunderstanding liabilities vs. debt. $VLN has no debt, $93.5M in cash, and $11m in inventory.Debt is interest bearing. Liabilities are opex costs or stuff like $11.5 strike warrants or employee bonuses that are settled in shares.
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作者建模 $VLN 目标价 7.3 美元，认为算法误做空是额外利好。
我的意思是，我建模得出的股价约为 7.30 美元（当前为 2.5 美元）。基于 2027 年远期数据，1.3 亿美元营收乘以 5 倍市销率(EV/Sales)，加上 9350 万美元净现金。我认为算法因混淆股票代码而大量做空 $VLN 只是锦上添花。话虽如此，我只是在分享信息发现，市场将决定如何对此进行定价。
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I mean I modeled for ~$7.30 (from $2.5 currently) share price. From forward 2027, $130M 5x EV/Sales + $93.5M net cash. I think algorithms piling in to short sell $VLN because they mixed up tickers is just a cherry on top. That being said I’m just posting info discovery, markets will decide how to price that in
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算法过度做空VLN致借券枯竭，建模失误。
@sslickith 我仍然无法相信算法在这些价位上做空了最大数量的股票，以至于它们即将面临 $VLN 的借券枯竭。他们在建模方面真的搞砸了 https://t.co/BUFviLSUX6
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@sslickith I still can’t believe algorithms are shorting the maximum amount of shares at these levels to the point they’re about to run out for $VLN They really messed up modeling https://t.co/BUFviLSUX6
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指出市场误用数据导致 $VLN 被低估，算法过早做空反而利好散户。
不，我只是说该公司理应获得重估，因为市场错误地使用了错误的股票代码作为数据。但巧合的是，算法也基于这些信息过早地进行了做空，这对于发现 $VLN 这一差异的散户来说更是锦上添花。
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No I’m just saying the company deserves to be re-rated because markets mistakenly used the wrong ticker for data. But it just so happens that algorithms are shorting off this information too extremely early on, which is a cherry on top for retail who discovered this discrepancy on $VLN
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博主分享实时数据链接并调侃。
@Tradesofadegen 实时数据，哈哈 https://t.co/nOM1u3Dzwy
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@Tradesofadegen Live data lol https://t.co/nOM1u3Dzwy
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VLN融券额度见顶，算法交易导致股价异常。
@Tradesofadegen 看起来融券可借股份(short share availability)几乎已触及上限。算法似乎真的把 $VLN 搞砸了 https://t.co/dOv14HSiux
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@Tradesofadegen Looks like short share availability is almost capped out. Algorithms seem to have really messed $VLN up https://t.co/dOv14HSiux