Opinion: The AI Bubble in Stocks Has Arrived. Why I'm Turning to Bet on Bitcoin?

marsbit發佈於 2026-07-02更新於 2026-07-02

文章摘要

This article argues that the AI-driven stock market surge shows clear signs of a bubble. The author, citing Howard Marks' cycle theory, presents a checklist of behaviors signaling a market top—excessive optimism, easy capital, and the belief "no price is too high"—and finds the current AI stock mania matches most criteria. Consequently, the author has sold AI-related ETFs and shifted focus to accumulating Bitcoin within a $50k-$60k range, viewing it as a scarcer asset with a wider margin of safety amid high equity valuations. The piece contrasts the narrow, frothy AI rally with what it sees as a more rational long-term opportunity in Bitcoin, especially given indicators like high CAPE ratios and selective risk appetite. The author's personal strategy involves holding significant cash, with capital allocated across trading, long-term accumulation (primarily BTC), and illiquid investments.

Author:Investing Beanstock

Translation:Deep Tide TechFlow

Deep Tide's Guide: AI stocks are soaring, but this trader is actually selling tech stocks and turning to bottom-fish Bitcoin. He used Howard Marks's cycle theory to examine the current market point by point and found that AI already meets almost all the characteristics of a "bubble top." For investors, this article provides a calm framework for cycle positioning, helping you judge whether it's time to be greedy or fearful now.

The stock market is experiencing an AI-driven, frenzied bull market, which should come as a surprise to no one.

Not being positioned feels downright stupid—because capital expenditure (CAPEX) will only continue to rise, and the forward valuations of all these stocks will only become crazier.

I won't comment on specific stocks or indices; banks and financial media worldwide are already providing blanket coverage. I'm more interested in figuring out—or at least trying to decipher—what stage of the market we're in. Not just in cryptocurrency, but across the entire financial markets.

To do this, I drew heavy inspiration from one of my favorite books: Howard Marks's *Mastering the Market Cycle*.

Most people understand cycles as a series of events. Most also understand that these events typically follow each other in a regular sequence: an upswing is followed by a downswing, and then eventually a new upswing. But to fully understand cycles, this isn't enough. Events in a cycle shouldn't just be seen as one following another; more importantly, each event *causes* the next to happen.

The straight line = the midpoint. The market's pendulum is the wavy line oscillating around the midpoint. Together they form the market cycle, driven by various market forces that cause it to deviate from the midpoint from time to time.

The movement of cyclical phenomena can be easily recognized in several stages:

a: Recovery from an overly depressed low extreme or "trough" towards the midpoint.

b: Continuing past the midpoint to swing towards the high extreme or "peak."

c: Reaching the peak.

d: Correcting downward from the peak back to the midpoint or mean.

e: Continuing the downward movement past the midpoint towards a new low.

f: Reaching the trough.

g: Recovering from the trough back to the midpoint.

h: The cycle repeats.

So Where Are We Now?

Is this a bubble? I think it's quite evident at this point that AI indeed *is* a bubble. According to Marks, a bubble is signaled when the sentiment that "price doesn't matter" is strong.

In a bubble, investors often conclude that you can make money by borrowing (using leverage) to buy the frenzied asset. No matter what your borrowing rate or funding fee is, the asset will surely appreciate faster than that.

"No price is too high" is the ultimate ingredient of a bubble, a fairly obvious signal that the market has gone too far.

There are actually conflicting schools of thought, believing the market can stay far above its intrinsic value and still reward multiples due to the frenzy.

What to Do?

Since we can't be sure when the bubble will burst, in my view, we have two clear approaches to portfolio allocation.

Dollar-Cost Averaging (I mean real DCA, no timing, you just buy in boring, mechanical dribs and drabs. The more batches you split into, the smoother your final cost basis, that's the whole point.)

Heavy cash allocation, but still allowing yourself to participate in the market through tactical/satellite positions, like active trading.

I personally prefer the second method. But that's because I actively monitor the markets day in and day out; I rely on my own market experience and intuition to navigate all this.

DCA isn't a bad method either. But it does require one to truly extend their time horizon. Not 1 or 3 years, but at least 5 years to really see results. Most people DCA for a few weeks, or try to DCA while also timing, and it backfires. If you plan to DCA into a particular investment, make sure you fully understand that business/industry, and then just stick to it in a super boring, repetitive way and go on with your life.

In my 2025 review and reflection post, I mentioned allocating 25% of my portfolio to passive ETFs, including QQQ, SOXQ, XAR, URA, and UFO. I think a large part of the gains came from QQQ and SOXQ, but I sold all of it in May because I believe the market had swung far past the midpoint.

I also said I was overall bearish on crypto until early 2026 (which turned out right), I managed to keep a lot of cash, and am now patiently deploying a portion into BTC. The target accumulation range is $50k–$60k, so I've already started allocating as of writing this.

"Crypto Is Dead, Pivot to AI"

Honestly, my only regret is not allocating more to speculative private market exposure in Anthropic and xAI. I think frontier models still offer the purest AI exposure, compared to public market "picks and shovels" types, like the GPU/semiconductor/storage narrative. Since those are already consensus, I don't think chasing them now offers asymmetric upside. That ship sailed a long time ago. Stocks like MU are up almost 10x in a year, and stocks like SNDK basically move like memecoins. Upside might still be there, but downside risk looks worse.

But the CAPEX! Yes, this might translate into real incremental value in the future, but it's still speculative. Overly speculative, excess money all funneling into the same thing, I've seen this movie before.

Is it disappointing to miss a big chunk of the AI bull run? Sure, it stings a bit. But I still have exposure, and it's doubled. I really don't think it's responsible to tell someone AI stocks are truly worth buying at today's valuations, unless they *really* know what they're doing and are in it for the long term (most aren't, they're here for quick money).

Market Sanity Checklist

Now, let's go back to how Marks judges if we are near/approaching a market top:

The economy is growing; economic reports are positive.

Corporate profits are rising and beating expectations.

The media only reports good news.

The securities markets are strong.

Investors are becoming increasingly confident and optimistic.

Risk is perceived as scarce and mild.

Investors believe taking risks is the necessary path to profits.

Greed drives behavior.

Demand for investment opportunities exceeds supply.

Asset prices exceed intrinsic value.

Capital markets are wide open; raising money or rolling over debt is easy.

Defaults are rare.

Skepticism is low, confidence is high, meaning risky trades can be made.

No one can imagine things going wrong. No favorable development seems impossible.

Everyone assumes things will get better forever.

Investors ignore the possibility of loss, only worry about missing out.

No one can think of a reason to sell, and no one is forced to sell.

There are more buyers than sellers.

If the market dips, investors are happy to buy.

Prices reach new highs.

The media celebrates this exciting event.

Investors become euphoric and carefree.

Equity holders marvel at their own cleverness; perhaps they'll buy more.

Those who stayed on the sidelines feel regret; therefore, they capitulate and buy.

^ This means:

Future returns are low (or negative).

Risk is high.

Investors should forget about missed opportunities, only worry about losing money.

This is a time for caution!

So, how many of these do you think the current stock market is exhibiting?

On the flip side of the "market top" checklist, the opposite scenario can also manifest:

The economy slows; reports are negative.

Corporate profits are flat or falling, missing expectations.

The media only reports bad news.

The market is weak.

Investors become worried and despondent.

Risk is perceived as everywhere.

Investors believe taking risks is just a way to lose money.

Fear dominates investor psychology.

Demand for securities is less than supply.

Asset prices are below intrinsic value.

Capital markets are closed; it's hard to issue securities or refinance debt.

Defaults surge.

Skepticism is high, confidence is low, meaning only safe trades can be made, or none at all.

No one thinks improvement is possible. No outcome seems too negative to happen.

Everyone assumes things will get worse forever.

Investors ignore the possibility of missing opportunities, only worry about losing money.

No one can think of a reason to buy.

There are more sellers than buyers.

"Don't try to catch a falling knife" replaces "buy the dip."

Prices reach new lows.

The media focuses on this depressing trend.

Investors become despondent and panicked.

Equity holders feel stupid and disillusioned. They realize they don't really understand the reasons behind their investments.

Those who didn't buy (or who sold) feel vindicated and are praised for their cleverness.

Those who held capitulate and sell at depressed prices, furthering the downward spiral.

^ This means:

Implied future returns are sky-high.

Risk is low.

Investors should forget about the risk of losing money, only worry about missing opportunities.

This is a time to be aggressive!

Based on the checklist above, I do think BTC is exhibiting many of these (especially in the Saylor/MSTR situation). So I do feel BTC presents a more attractive investment prospect compared to today's high-flying AI stocks.

However, note that the above progressions are simplified, they may not even appear in the same order, nor necessarily appear in every market cycle, but these behaviors are real, they are indeed elements that rhyme in markets over decades.

The AI revolution has clearly benefited tech stocks, especially semiconductors over 1/3/5 year periods.

But investing is never done by looking in the rearview mirror (unfortunately, most people do and take reference from the past), advantage emerges where people ignore/dismiss it. We need to look at "what happens 1 to 10 years from now," not what today's environment is.

Looking at the chart above, saying you're a crypto investor and you should have invested in stocks would look silly.

Based on the above chart, if you chose stocks, statistically speaking, the likelihood of future underperformance is high.

Also, reading this in 2026 might sound like a joke now, but based on past lessons from cycles and an understanding of forward return/valuation fundamentals, I do think BTC will outperform stocks over the next few years.

The Most Dislocated Macro Environment Ever

We are also in one of the most dislocated, irrational market environments ever.

Under new Fed Chair Wash, interest rates are currently at 3.5–3.75%, and he's also publicly struck a hawkish tone. But rates aren't compressing; stocks instead keep rising, all because AI will cure cancer and everyone will make infinite money forever, right?

The Shiller CAPE ratio for stocks has broken above 40 for the first time, the first time since the peak of the dot-com bubble era. US stock market capitalization is now near 2x its GDP, valuations are higher than during the 2000 bubble.

Multiple expansions during a tightening cycle, this is textbook definition of dislocation.

This dislocation is primarily driven by a three-engine narrative/liquidity machine.

AI CAPEX supercycle: Large hyperscale cloud providers spending up to $725 billion in 2026, nearing $1 trillion, now accounting for over 30% of the entire S&P 500.

Late-cycle fiscal stimulus: Lower corporate and personal taxes/tariff rebates boosting nominal earnings, even as the Fed tightens.

Passive index fund flows: Index funds mechanically funnel every 401(k) dollar into the largest market cap companies, regardless of price. Boomers are now forced to buy these hyperscale cloud provider stocks at all-time highs, and they continue.

Risk Appetite Is Selective

Today capital is rushing into AI/semiconductors, while everything else including Bitcoin (last cycle's darling) is barely growing or bleeding. This is not a universally greedy market, but one funneling all capital into a single narrative (AI and its related verticals).

In 2025, AI-related stocks accounted for roughly 80% of the entire US stock market gains. Behind these all-time highs, market breadth is extremely narrow, most stocks aren't even contributing to the rally (unless you're AI-related).

Cracks Are Forming

The entire edifice assumes AI CAPEX can be met with real demand, and that energy-driven inflationary shocks will subside/not matter. Core PCE rose from 3% to 3.3%, oil prices surged from $57 to $113 during the Iran war then fell to $76, this is exactly why rate cuts were ruled out.

Cracks have already shown.

In the last full week of June, South Korea's KOSPI halted trading twice, Samsung and SK Hynix fell 12% in a single day, a warning of seller count versus remaining buyers.

Dalio also said his bubble gauge is near 1929 and 2000 levels, Buffett... still holds a record $381 billion in cash. Prices have become dependent on narrative, positioning, and leverage, there really isn't much margin of safety left.

My Personal Plan

Considering all of the above, here's how I, as a capital allocator, think about the whole picture.

Please note this is highly tailored to my own life situation, investment goals, and personality. Please do your own research, none of this constitutes financial advice.

I currently split my capital into 3 distinct buckets and manage accordingly based on a specific bucket.

Trading capital (highest risk, highest volatility, highest variance)

Long-term accumulation capital (buy-and-hold type I don't intend to sell)

Illiquid capital (private equity – SPVs, alternative investments)

How to allocate capital to which bucket is highly dependent on market environment and liquidity.

Right now, I keep most cash for Bucket 2. I've drastically reduced allocation to Bucket 1 due to deteriorating market edge. In crypto, I currently only deem BTC, HYPE, and LIT worth holding. Looking at stocks is playing musical chairs. Given current valuations, long-term allocation to stocks also doesn't make sense.

For Bucket 3, the amount is mostly fixed, about 20% of my net worth. Given its illiquidity and years needed to realize full returns, this bucket remains largely unchanged for the foreseeable future.

As of writing, I'm mostly cash (>80%), with allocation weights across the 3 buckets at 10%, 70%, 20% respectively.

Under Bucket 2, I've made 4 buys of spot BTC so far, average price around $59k. I'm also interested in certain ETFs, which I'll disclose when I decide on a long-term allocation.

In summary, nothing too fancy. More like fishing, waiting for that big fish. I don't mind catching a few small ones before the big one comes, but the point is to keep fishing, stay focused, and not give up.

Perpetual DEX Airdrop Farming Still an Edge

Although my trading decreased in June, I think one massively undervalued edge in crypto is perpetual DEX farming, especially Variational.

Though primarily driven by airdrop incentives, it's still ranked top 3 among perpetual DEXs, excluding the clear market leader Hyperliquid.

Variational is still in private beta, meaning you need an invite to use. What's special? It's an RFQ-based perpetual DEX, theoretically meaning they can list all sorts of pairs (even the most obscure) and still have deep liquidity, unlike order books that need crazy bootstrapping.

I mainly use it to trade commodities like crude oil, gold, silver, copper, and some other pairs. Focusing on open interest and holding long-term gets the most efficient points.

Referrals get a 15% points boost, my code automatically grants you SILVER tier for 90 days upon sign-up.

Other platforms I'm still farming with significant point allocation are:

The TGE target for all mentioned perpetual DEXs is Q3 2026.

I think the fear around STRC is overdone. But this financial engineering does alter investor behavior around it. Unwillingness to allocate until Saylor finishes selling $1B of BTC is now a key "bottom signal."

At $58k BTC price, I think valuations are reasonable. It's even below the 200-day moving average now.

This means H2 2026 could be a significant period for long-term accumulators. I do think there will be one last capitulation and heavy forced selling (including Saylor), likely coinciding with stocks starting to weaken.

While this isn't a pure BTC bullish post, I think among all assets that exist today, BTC offers one of the widest margins of safety, even if the ultimate low is about 15–20% down from here.

Think about it, in a long-term stagflation environment, scarce assets perform best. It was gold in the past, an asset outside the monetary system that existed for millennia.

I think ten years from now, accumulating BTC today will be seen as one of the most rewarding moments in a long time.

While stocks will indeed rise over time in the future, at this moment, I can't justify buying at such high valuations and am happy to watch from the sidelines until it comes back to earth.

What do you think? How are you thinking about capital allocation now?

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相關問答

QAccording to the author, what are the two main portfolio allocation methods suggested for dealing with the current market, which one does he prefer, and why?

AThe author suggests two methods: 1) DCA (Dollar-Cost Averaging) in a true, non-timing, mechanical way. 2) Being heavy on cash while allowing participation through tactical/satellite positions like active trading. He personally prefers the second method. The reason is that he actively monitors the market daily and relies on his market experience and intuition to navigate it. He finds DCA requires a genuine long-term horizon (at least 5 years) and strict discipline, which most people lack as they often try to time the market within it.

QBased on Howard Marks' framework from 'The Cycle', what key characteristics does the author believe the current AI-driven stock market is exhibiting that signal a potential bubble top?

AThe author believes the AI-driven market exhibits many characteristics from Howard Marks' 'market top' checklist. Key ones include: prices seeming irrelevant ('no price is too high'), the belief that leverage is a sure path to profit, widespread investor confidence and optimism, greed driving behavior, asset prices exceeding intrinsic value, easy capital raising, low skepticism, high confidence enabling risky trades, and investors worrying more about missing out (FOMO) than losing money. He argues the market shows 'price doesn't matter' sentiment, a hallmark of a bubble.

QWhy does the author view Bitcoin as a more attractive investment prospect compared to high-flying AI stocks at this moment?

AThe author views Bitcoin as more attractive because he believes it is exhibiting many characteristics from the *opposite* side of Howard Marks' checklist—the one indicating a market bottom or undervalued state. He implies BTC shows signs like fear dominating investor psychology, prices potentially below intrinsic value, high skepticism, low confidence, and investors worrying about losing money rather than missing gains. He also cites BTC trading below its 200-day moving average around $58,000, offering a wider 'margin of safety' and reasonable valuation, especially in a potential long-term stagflation environment where scarce assets historically perform well.

QWhat are the three main drivers the author identifies as creating the current 'dislocated' and 'irrational' macro market environment?

AThe author identifies three main drivers: 1) The AI Capital Expenditure Supercycle, with hyperscalers spending massively (projected $725B in 2026), now representing over 30% of the S&P 500. 2) Late-cycle fiscal stimulus, including tax and tariff rebates boosting nominal profits even as the Fed tightens policy. 3) Passive index fund flows, where funds mechanically funnel retirement savings (like 401(k)s) into the largest market-cap companies regardless of price, forcing buying at historic highs.

QHow has the author personally allocated his capital across different 'buckets' based on the current market outlook, and what is he specifically accumulating in his 'long-term accumulation' bucket?

AThe author has allocated his capital into three buckets: 1) Trading capital (highest risk), 2) Long-term accumulation capital (buy-and-hold), and 3) Illiquid capital (private equity/SPVs). Given the current market, he has significantly reduced allocation to bucket 1 due to poor market edge. He holds most of his cash for bucket 2 (>80% cash overall). His current weightings are approximately 10% for bucket 1, 70% for bucket 2, and 20% for bucket 3. Within bucket 2 (long-term accumulation), he is specifically accumulating spot Bitcoin, having made four buys at an average price of around $59,000.

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什麼是 DOGE M

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613 人學過發佈於 2025.02.03更新於 2025.02.03

什麼是 DOGE M

什麼是 $M

理解 Mantis ($M):跨鏈互操作性的新時代 在不斷演變的 Web3 和加密貨幣領域,新項目努力提供創新的解決方案,旨在提升用戶體驗並擴展去中心化金融生態系統中的功能可能性。其中一個引起關注的項目是 Mantis ($M),這是一個基於跨鏈互操作性和基於意圖的結算原則的開創性協議。本文深入探討 Mantis 的基本方面,包括其核心功能、創建者、投資支持、創新特徵和關鍵里程碑。 Mantis ($M) 是什麼? Mantis 被描述為一個 多域意圖結算協議,簡化了跨鏈互動,使得用戶能夠在各種區塊鏈平台上無縫執行複雜的金融交易。該協議通過三個主要層次運作: 意圖表達:用戶可以使用由 DISE LLM 提供的自然語言來表達其交易目標,這是一種先進的 AI 語言模型。例如,用戶可能會表達希望以 1% 的滑點容忍度將以太坊 (ETH) 交換為索拉納 (SOL)。 執行:這一層利用一個解決者網絡,競爭以滿足用戶的意圖。交易通過如需求一致 (CoWs) 和訂單流拍賣 (OFAs) 等機制執行,確保用戶需求得到最佳滿足。 結算:利用跨區塊鏈通信 (IBC) 協議,Mantis 實現原子跨鏈交易,使用戶能夠在包括以太坊、索拉納和宇宙等各種支持的鏈上操作。 Mantis 被設計為為閒置資產引入 原生收益生成,並利用加密證明來保持整個過程中交易的完整性。 創建者與開發團隊 Mantis 由 Composable Foundation 構思,這是一個以研究為驅動的組織,以其對區塊鏈互操作性解決方案的重視而聞名。該基金會與包括哈佛大學和里斯本大學在內的著名學術機構合作,為 Mantis 的架構和功能提供廣泛的研究和開發支持。 Composable Foundation 致力於促進區塊鏈領域的創新,使 Mantis 成為滿足多個區塊鏈網絡間日益增長的互操作性需求的強大解決方案。 投資者與支持 儘管有關個別投資者的具體細節尚未公開披露,但 Mantis 享有來自多個實體的實質支持,包括: 來自 IBC 支持鏈的生態系統補助金,支持協議在去中心化金融生態系統中的增長和整合。 與基礎設施提供商的戰略夥伴關係,增強 Mantis 的網絡能力和部署策略。 通過 Composable Foundation 的財庫提供的資金,確保持續的財務支持以應對持續的開發和運營成本。 這些合作努力反映了利益相關者對增強跨鏈功能和 Mantis 基礎設施創新潛在效用的重要性達成共識。 主要創新 Mantis 通過幾項開創性創新來提升其功能和效用: 鏈無關意圖:用戶可以從任何支持的鏈發起交易,同時在另一條鏈上結算。這種靈活性賦予用戶權力,促進不同平台之間的互動。 AI 驅動的界面:DISE LLM 的整合使得用戶能夠使用自然語言進行複雜的 DeFi 操作,從而簡化互動,並使區塊鏈技術對更廣泛的受眾變得可及。 跨域 MEV 捕獲:Mantis 通過解決者之間的競爭創建了一個內部市場,以獲取最大可提取價值 (MEV)。這一創新方法允許在複雜交易中實現更高的效率和價值提取。 模組化結算層:該協議支持多種驗證方法,包括零知識證明和樂觀滾動,提供一個靈活的框架,可以適應新興的區塊鏈技術。 歷史時間表 Mantis 的發展標誌著幾個關鍵里程碑,描繪了其軌跡和增長: | 年份 | 里程碑 | |————|————————————————————————-| | 2022 | 在 Composable Foundation 的研究部門內進行初步概念開發。 | | 2024 第三季 | 啟動測試網,實現索拉納和以太坊之間的橋接能力。 | | 2025 第一季 | 預計代幣生成事件 (TGE) 與主網啟動同時進行。 | | 2025 第二季 | 預期整合 DISE LLM 並擴展跨鏈能力。 | | 2025 下半年 | 計劃通過進一步的 IBC 升級支持超過 15 條鏈。 | 這個時間表概述了 Mantis 的演變,從概念討論到積極實施和未來增長階段。 生態系統增長策略 Mantis 的生態系統增長策略包括幾項旨在鼓勵用戶參與和開發者參與的舉措: 信用系統:用戶可以通過提供流動性和參加推薦計劃來獲得協議信用。這些信用可在未來兌換獎勵,促進強大的用戶社區。 模組化軟件開發工具包 (SDK):這個工具包使開發者能夠基於意圖驅動模型利用 Mantis 的基礎設施創建應用程序,從而促進其生態系統內的創新。 治理模型:隨著協議的成熟,$M 代幣持有者將在協議治理中擁有發言權,允許他們對提議的升級和變更進行投票,從而增強社區參與和去中心化。 Mantis 代表了跨鏈架構領域的一個重大進展。通過無縫整合先進的 AI 算法和強大的結算框架,Mantis 努力解決多鏈生態系統中的碎片化問題。其創新方法優先考慮改善用戶體驗,同時遵循去中心化和安全性的基本原則,為未來區塊鏈技術的互操作性設立了新標準。 隨著 Mantis 繼續其增長和實施之旅,它承諾成為 Web3 和去中心化金融競爭格局中值得密切關注的項目。憑藉其跨越界限和提升用戶參與的重點,Mantis 預計將成為未來加密貨幣領域發展的重要組成部分。

95 人學過發佈於 2025.03.18更新於 2025.03.18

什麼是 $M

如何購買M

歡迎來到HTX.com!在這裡,購買MemeCore (M)變得簡單而便捷。跟隨我們的逐步指南,放心開始您的加密貨幣之旅。第一步:創建您的HTX帳戶使用您的 Email、手機號碼在HTX註冊一個免費帳戶。體驗無憂的註冊過程並解鎖所有平台功能。立即註冊第二步:前往買幣頁面,選擇您的支付方式信用卡/金融卡購買:使用您的Visa或Mastercard即時購買MemeCore (M)。餘額購買:使用您HTX帳戶餘額中的資金進行無縫交易。第三方購買:探索諸如Google Pay或Apple Pay等流行支付方式以增加便利性。C2C購買:在HTX平台上直接與其他用戶交易。HTX 場外交易 (OTC) 購買:為大量交易者提供個性化服務和競爭性匯率。第三步:存儲您的MemeCore (M)購買MemeCore (M)後,將其存儲在您的HTX帳戶中。您也可以透過區塊鏈轉帳將其發送到其他地址或者用於交易其他加密貨幣。第四步:交易MemeCore (M)在HTX的現貨市場輕鬆交易MemeCore (M)。前往您的帳戶,選擇交易對,執行交易,並即時監控。HTX為初學者和經驗豐富的交易者提供了友好的用戶體驗。

1.3k 人學過發佈於 2025.07.02更新於 2026.06.02

如何購買M

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