Before the Bull Market Returns: Lessons I Learned in the Crypto World with Millions

marsbitPublished on 2025-12-12Last updated on 2025-12-12

Abstract

Investment Lessons from the Crypto Market: A Reflection Before the Bull Run This article shares hard-earned lessons from losing millions in the crypto space, offering a sobering perspective on market behavior and personal psychology. The author begins by distinguishing between investment and speculation, noting that crypto is primarily driven by sentiment and tokenomics, not fundamentals. In bull markets, emotion dictates 60% of pricing, token distribution 30%, and fundamentals only 10%. This makes speculation far more profitable than value investing, which often leads to significant losses as holders refuse to cut losses, hoping for a recovery that never comes. A critical mistake is poor timing and position sizing. The author emphasizes the importance of maximizing risk exposure early in a trend's reversal—when uncertainty is high but odds are favorable—rather than during the euphoric peak when downside risk is severe. Examples from the AI meme season and the BSC rally illustrate how late entries often lead to missed opportunities or forced, high-risk bets. The piece also warns against traditional valuation metrics like P/E ratios and token buybacks, which assume sustainable earnings—a rarity in crypto where few projects survive long-term. Market leaders often change, and entire sectors are disproven. Ultimately, the author concludes that theoretical knowledge isn't enough; true understanding comes from painful, personal experience. The market's cyclical nature means ma...

As the year ends, I'm reviewing the mistakes I made over the past year and summarizing them into a few key insights.

Sharing these is both a reminder to myself and a reference for others.

The principles are actually quite simple, but you only truly understand them after losing money.

It's like the moment your position gets liquidated, you regret why you used high leverage.

1. A Paradise for Speculators, a Graveyard for Investors

Hedge fund manager Hu Meng has a very precise definition of investment and speculation:

"If your return depends on the price difference of the same commodity at different times, that's speculation. If it depends on intrinsic value growth and dividends, that's investment."

In my first few years in the crypto world, I was a pure BTC holder and achieved decent results.

Such strong positive feedback led me to spend most of my time in crypto seeking a form of "investment I could sleep peacefully with."

This was the sense of security brought by so-called "value investment."

I looked at teams, whitepapers, and fundamental data, trying to find assets I could hold for one or two years.

Metrics like TVL, active wallet addresses, and trading volume—seemingly solid data—were the best sleeping pills for holding assets.

But this wasn't much different from BSC meme players buying assets and holding them, waiting for CZ or He Yi to respond.

I slept with data that might grow but could also go to zero tomorrow.

They slept with expectations of celebrity influence.

I wasn't any better than them.

The reason is, 【the crypto market has never been priced based on fundamentals】

  • In a bull market: Emotional pricing might account for 60%, tokenomics for 30%, and so-called "fundamentals" only 10%.
  • In a bear market: Emotional pricing accounts for 40%, tokenomics for 50%, and fundamentals still only 10%.

We are in a market where behavioral finance is overly effective, and the pendulum of emotions is very obvious. In such a market, speculation is far easier to profit from than investment.

If that were all, crypto value investing wouldn't quite be a "graveyard."

The most terrifying aspects of "value investing" are two-fold:

1⃣ When you deceive yourself into buying a coin from a value investment perspective:

A 10%-20% drop: You comfort yourself, "The market is stupid, everyone is drunk but I'm sober, spot holdings are safe." You don't cut losses; you might even want to average down.

A 50% drop: You vaguely realize you might be wrong, but since you've already lost so much, you can't bear to cut losses.

A 90% drop: You silently transfer the coin to an unused wallet. The next time you see the coin pump 100% in a group chat, you realize it needs to go up tenfold just to break even.

2⃣ When your initial motive was speculation, but you turn to value investing after a loss:

A 10% drop: "This coin might still have hope, waiting for a big buyer."

A 20% drop: "I'm actually value investing; holding at this price won't lose too much more."

You know the rest of the story.

So how does the money disappear?

I actually read about this principle a long time ago, but I only truly understood it a bit after going through GMX, DYDX, JUP, MET, PUMP, CLANKER, and BONK.

2. Go All-In During the Foreplay, Practice 'Inch Stopping' at the Climax

Regarding position management, GCR had a principle that many overlooked but is extremely important:

"In the altcoin cycle, you should maximize risk exposure when the trend just reverses and gradually protect capital over time."

This is counterintuitive to most people.

I've made this mistake countless times over the past two years.

The AI Agent Trend

At the beginning of last year's AI meme season, I participated with small positions in goat, ai16z, and some other meme tokens. The multiples were good, but the absolute returns were mediocre. Then, by the time swarms came around, friends around me started making hundreds of thousands of U.S. dollars at a time. I began increasing my bet sizes. Then I started losing疯狂ly. I think many people are like me; if it weren't for TRUMP later on, the returns might not even have beaten BTC.

TRUMP at the beginning of the year saved too many people. The fate of most was to be exposed after the AI agent trend receded. But TRUMP emerged just as AI agents started to fall, allowing many to retreat swiftly, switching from AI memes to Trump to exit.

The BSC Trend

In September, I, who basically no longer scanned chains or played memes, happened to see CZ's tweet about '4' that afternoon. I bought 4 BNB for a few hundred dollars and didn't pay attention. What followed was the spectacular BSC行情. I belatedly missed the chance to increase my position early. To make up for missing the early multiples, I was forced to use the profits from '4' and funds transferred on-chain to buy into the 'Binance Life' narrative.

Reflecting afterward, if I had increased risk exposure early on, I would have been much more comfortable later, no matter what happened. Even if wrong, the losses wouldn't have been huge.

Most of the time, our instinctive reaction is:

  • When the trend just starts, the future is uncertain, so we should wait and see;
  • When the trend is hot, consensus is established, so we should go heavy.

Because when the trend first reverses, the market is still shrouded in the trauma of the last bear market, and all "stories" sound like scams. At the climax of the trend, the story becomes perfect, and consensus peaks.

But from a risk-reward (Odds) perspective, the opposite is true:

  • Early trend emergence (reversal point): Although full of uncertainty, the odds are highest here. Downside is limited, making it worth placing heavy bets to seek returns.
  • Climax phase (consensus point): Although it looks "stable," the price has already priced in future expectations. Downside risk increases dramatically. At this point, one should practice "inch stopping" (withdrawing/ taking profit), not go All-in.

3. Beware of the PE and Buyback & Burn Trap

All PE and cash flow valuation methods have a major premise: that performance is sustainable in the long term.

But from the birth of BTC until today, aside from BTC, nothing has really been sustainable.

The leaders of all sectors have changed. If you look at the Top 10 list on CoinMarketCap from 5 years ago, you'll find more than half the names are now unfamiliar or even zeroed out.

The PERP sector leader alone has changed from dydx, to gmx, to hyperliquid.

Countless sectors have been disproven. Most projects don't last more than a year.

PE valuation and buyback & burn have been the most painful investment experiences for me, where I've stepped into the most traps. This is very similar to the "value investment" discussed earlier.

When some projects are presented to you at 5x or even 3x PE, it's really hard to resist buying.

Because I still hold onto that little幻想 (fantasy), I can only say beware of the PE trap, but I think many people can completely avoid this trap.

As for me, I feel I haven't lost enough money yet and still have some幻想 about the industry. I'll persist for another year.

Finally

The lesson humanity learns from history is that we never learn from lessons. As 0xPickleCati's article a few days ago made very clear.

Some pains, if not experienced personally, cannot be understood and distilled into instinctive reactions.

Related Questions

QAccording to the author, what is the main difference between investment and speculation in the crypto market?

AThe author defines investment as returns depending on intrinsic value growth and dividends, while speculation depends on price differences of the same commodity at different times.

QWhat does the author claim are the three main factors that determine crypto pricing in a bull market, and their approximate weightings?

AIn a bull market, the author states that emotional pricing accounts for about 60%, tokenomics (chip structure) accounts for 30%, and fundamental factors account for only about 10%.

QWhat is the author's key lesson about position management from the GCR principle regarding altcoin cycles?

AThe key lesson is to maximize risk exposure when a trend first reverses (early stages) and gradually protect capital as the trend progresses, which is the opposite of most people's intuition to go all-in at the peak.

QWhy does the author warn against relying on PE ratios and token buyback/burn mechanisms in crypto?

AThe author warns that PE valuation and buyback/burn mechanisms assume long-term sustainable performance, but in crypto, most projects have short lifecycles,赛道 leaders change frequently, and many business models are ultimately proven invalid, making these traditional metrics dangerous traps.

QWhat personal examples does the author give to illustrate the mistake of increasing bet size only after a trend is well-established?

AThe author cites two examples: 1) In the AI meme season, they started with small positions, then increased bet size later on Swarms and began losing money significantly. 2) In the BSC行情, they initially bought a small amount of 4BNB after CZ's tweet, then later used profits and additional funds to buy into the 'Binance Life' coins, missing the early high-multiple gains.

Related Reads

Gary Yang: Agent Economy and AI Submicroeconomics

**Title:** Agent Economy and AI Sub-Microeconomics - Gary Yang **Summary:** Following the AI singularity, the pace of evolution has accelerated rapidly, creating new generational disparities in technological advancement globally. While many regions are still grappling with single-agent bottlenecks, Silicon Valley has moved ahead into the next dimension: the Agent Economy and A2A ecosystems. The article outlines six key areas of this emerging paradigm: 1. **AI Payment Competition & H2A Bottlenecks:** A fierce battle for AI Agent payment protocol standards is underway (e.g., MPP, x402). However, most current efforts remain Human-to-Agent (H2A), essentially grafting AI onto traditional human-centric commerce, which creates a non-AI-native bottleneck. The true potential lies in Agent-to-Agent (A2A) autonomous economies. 2. **Agent Economy & the Inevitable A2A Trend:** The Agent Economy is defined by autonomous AI Agents creating, exchanging, and capitalizing value as independent economic actors. The A2A ecosystem describes their interactions. This represents the next major investment frontier, akin to the early days of e-commerce or DeFi, but with faster iteration and an AI-native, efficiency-first perspective that often diverges from human needs. 3. **AI Protocol vs. Crypto Protocol:** AI Protocols are the foundational rules for Agent interaction in an open network (communication, discovery, collaboration), akin to the governance and economic laws of the AI world. Currently, they focus on communication and weak boundaries, unlike Crypto Protocols which emphasize asset rights and clear ownership. While they appear different due to political-economic factors and legacy system constraints, their eventual convergence into a unified Digital Protocol system is seen as inevitable, driven by first principles. 4. **AI Agent Sub-Microeconomics & Biological Analogy:** AI Agent economics differ fundamentally from human economics: higher frequency/lower value transactions, energy/value direct correlation, efficiency-driven (not emotional) decisions, task-oriented (not consumption-oriented) behavior, and near-zero organizational/communication costs. A powerful analogy frames the Agent economy as a biological system: the LLM is the nucleus, the Agent harness is the cytoplasm, the Agent itself is a cell, its communication protocol is the cell membrane, and external tools (Skills, Prompts) are the extracellular environment. 5. **The Inevitability of AIFi & FinChip:** AIFi (AI Finance) represents the financial system where AI-native value within the Agent economy is tokenized and exchanged. Unlike TradFi/DeFi where value resides *in* finance, in AIFi, value originates *in* AI, and finance becomes its form. This shift is enabled by Agents taking over value discovery. FinChip (Financial Chip) is introduced as a key infrastructure—a fusion of AI autonomy and crypto smart contracts—forming intelligent financial assets to power the future A2A economy. 6. **AI-Native as a Paradigm Shift:** Adopting AI is not akin to "Internet+". It requires AI-Native thinking—designing systems based on first principles, the shortest energy-value path, and maximum efficiency. This abstract, counter-intuitive logic poses a significant, ongoing challenge for all practitioners, as effective, generalized upgrade methodologies will be slow to emerge in this rapidly evolving landscape.

链捕手40m ago

Gary Yang: Agent Economy and AI Submicroeconomics

链捕手40m ago

From 'The Big Short' to San Francisco: The Revelry and Dizziness Within the AI Bubble

From "The Big Short" to San Francisco: The Frenzy and Dizziness in the AI Bubble The article captures the intense, frenetic atmosphere in San Francisco, the epicenter of the current AI boom. Drawing a parallel to the "smell of money" from *The Big Short*, the author observes a city gripped by a singular status game centered entirely on AI and technology. This manifests in a palpable, caffeine-fueled anxiety ("people are shaking"), rampant comparison using vanity metrics like funding rounds, and pervasive "Big Bubble Behavior." The piece explores the city's stark contrasts: its dystopian streets versus beautiful vistas, and the disconnect between the doomsday concerns of some AI researchers and the optimistic, growth-focused "GTM" teams. It critiques the obsession with "math genius" founders as the new ticket to outsized returns, akin to scouting sports prodigies. Referencing economic historian Carlota Perez's "frenzy phase" and Karl Polanyi's "double movement," the author frames the boom as a period where financial speculation detaches from fundamentals, with society potentially becoming subordinate to a new economic force driven by "geniuses in data centers." Ultimately, while acknowledging the unprecedented wealth creation and party-like energy, the article concludes with cautionary advice: when the music is playing, you should dance, but don't get drunk. The core reminder is to stay grounded, avoid distorted judgment, and maintain perspective amidst the euphoria.

marsbit41m ago

From 'The Big Short' to San Francisco: The Revelry and Dizziness Within the AI Bubble

marsbit41m ago

Is AI Creating a New Class of 'Information Poor'?

AI is generating a new kind of "information poverty." The core issue isn't that AI denies answers to the poor; it's that it provides abundant, cheap, and plausible-sounding answers to everyone. This availability shifts the true scarcity from obtaining answers to possessing the **judgment to evaluate them** and the access to turn them into real-world opportunities. New information poverty thus describes those who have AI tools and outputs, but lack the complementary skills, authorization, and contextual experience to critically assess and act on them. Research reveals a multi-layered divide: access to AI is stratified by income and platform design (e.g., premium vs. free, embedded tools). In workplaces, usage heavily favors higher-paid, more experienced, or formally trained employees, with AI often automating entry-level tasks that were traditional stepping stones. Crucially, the heaviest users are often mid-career professionals whose existing expertise allows them to effectively judge and leverage AI outputs, while novices risk over-relying on them without building judgment. While controlled experiments show AI can significantly boost low-skilled workers' performance, real-world adoption and benefit are constrained by unequal social and organizational structures. Historically, general-purpose technologies first reward those with existing complementary capital. AI, by affecting judgment-based work, may accelerate and deepen this initial inequality gap, even if it narrows over decades. The danger lies in the illusion of competence it creates, potentially stunting the very critical thinking needed in an era where judgment is paramount.

marsbit1h ago

Is AI Creating a New Class of 'Information Poor'?

marsbit1h ago

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

On June 5th, South Korea's stock market experienced a sharp decline, with major chipmakers like Samsung and SK Hynix dropping nearly 10%. Amidst the turmoil, NVIDIA CEO Jensen Huang's visit to Seoul played a dramatic role in boosting market sentiment. Following a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung, Huang confirmed that NVIDIA's new Vera CPU will utilize SK Hynix DRAM. The companies announced a multi-year technical partnership to co-develop next-generation memory for NVIDIA's AI infrastructure, covering products from data centers to personal AI and robotics. This collaboration extends beyond memory supply. SK Hynix is integrating NVIDIA's AI and Omniverse platform into its own semiconductor design and manufacturing processes, including computational lithography and creating digital twins of its fabrication plants for autonomous operation. While strengthening ties with SK Hynix, NVIDIA is diversifying its supply chain for the upcoming HBM4 memory, with Samsung, SK Hynix, and Micron all certified as suppliers for its Vera Rubin platform. Despite this, Huang warned that the global chip shortage, driven by relentless demand from AI factory construction, is expected to persist for several years across the entire supply chain. His visit underscores NVIDIA's systematic effort to deepen integration with South Korea's broader tech industry.

marsbit2h ago

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

marsbit2h ago

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

The Nasdaq plunged 4.18% on June 5, 2026, its worst single-day drop in over a year, as a much stronger-than-expected US jobs report triggered fears of economic overheating and delayed Federal Reserve interest rate cuts. The selloff, centered on high-valuation tech and AI stocks like Nvidia and Broadcom, spread across major indices. The article examines whether this signals a market top. The strong May non-farm payrolls data, nearly double expectations, pushed bond yields higher, directly hurting rate-sensitive tech stocks. This exposed vulnerabilities in the crowded AI trade, where valuations had soared on narratives of infinite growth, despite emerging signs of slowing order momentum and corporate AI monetization challenges. Prior to the drop, market indicators flashed warning signs: historically high valuations (e.g., Shiller CAPE ratio near 39.5), extreme bullish sentiment, and high levels of leverage. Technical charts showed key support levels being breached. Wall Street is divided on the outlook. Bears, citing risks of "stagflation" and AI bubble comparisons to the dot-com era, warn of a potential significant correction. Bulls view the drop as a healthy correction within a bull market, underpinned by a strong economy and expected corporate earnings growth of around 7% in 2026. The immediate future hinges on upcoming key events: the May CPI inflation data and the mid-June FOMC meeting. Their outcomes will critically shape market expectations for the Fed's rate path. The article concludes that conditions for a major market top are aligning, marking a fragile transition from narrative-driven gains to a phase demanding validation from macroeconomic data and corporate fundamentals. Caution is advised.

marsbit2h ago

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

marsbit2h ago

Trading

Spot
Futures

Hot Articles

What is DOGE M

Doge Matrix ($doge m): The New Breed of Community-Driven Cryptocurrency Introduction In the ever-evolving landscape of cryptocurrency, new projects constantly emerge, each aiming to capture the interest of investors and enthusiasts alike. One of the latest entrants to this domain is Doge Matrix, represented by the ticker symbol $doge m. This project has attracted attention thanks to its roots in the popular meme culture surrounding Dogecoin, establishing its place within the web3 space. This article aims to provide a comprehensive analysis of Doge Matrix, covering its overview, creator, investors, functionality, timeline, and notable aspects. What is Doge Matrix ($doge m)? Doge Matrix is a community-driven cryptocurrency project that seemingly builds upon the widespread appeal of Dogecoin, a digital currency known for its Shiba Inu mascot and its meme origins. While the overarching objectives of Doge Matrix are not extensively defined, it is characterized by a commitment to harnessing community involvement and support. Unlike traditional cryptocurrencies that often emphasize utility or intrinsic value through underlying technologies, Doge Matrix positions itself within a space that embraces the cultural phenomenon of cryptocurrencies, particularly appealing to those who resonate with the ethos of meme-based assets. Drawing on the strengths of the Dogecoin community, Doge Matrix operates as part of a broader ecosystem, inviting participation and engagement from users who share an interest in cryptocurrency and the digital landscape. Who is the Creator of Doge Matrix ($doge m)? The identity of the creator of Doge Matrix remains unknown. This lack of transparency is not an uncommon occurrence in the cryptocurrency space, where some projects are launched without revealing the identities of their founders. The absence of information regarding the founding team can raise questions among potential investors about the project’s accountability and direction. Who are the Investors of Doge Matrix ($doge m)? As it stands, there is no publicly available information detailing the investors or investment foundations that back Doge Matrix. The project appears to rely primarily on community support rather than institutional investment. This model aligns with the community-driven nature of the initiative, fostering an environment where the direction of the project is shaped by its participants rather than being dictated by a select few financial backers. How Does Doge Matrix ($doge m) Work? The specifics regarding the operational mechanisms of Doge Matrix are somewhat vague, reflecting a broader trend of projects in the meme coin space where innovative functionalities are not always clearly articulated. Nonetheless, Doge Matrix seems designed to tap into the existing cryptocurrency ecosystem by encouraging user participation while tapping into the familiar cultural references associated with Dogecoin. Its potentially unique characteristics derive from community interactions rather than technological advancements, emphasizing shared experiences and collaboration among token holders. While the exact innovations have not been explicitly outlined, the project appears to create a space where community members can engage, share ideas, and propel the project's potential forward. Timeline of Doge Matrix ($doge m) Reflecting on the project’s timeline reveals notable events that have defined its journey thus far: November 25, 2024: Doge Matrix reached its all-time high value, marking a significant milestone in its early history. January 1, 2025: Conversely, Doge Matrix hit its all-time low value, illustrating the volatility often associated with cryptocurrencies, especially in the early stages of a project's lifecycle. Ongoing: The project continues to be actively traded and supported by its community, although specific future milestones or objectives have yet to be disclosed. Key Points About Doge Matrix ($doge m) Community Focus At the heart of Doge Matrix is a commitment to community engagement. The project thrives on the premise of collaboration and shared objectives among its members, emphasizing the importance of collective effort. Unlike centralized projects that often have a defined leadership structure, Doge Matrix at present showcases a more fluid approach to governance, where every community member's voice matters. Volatility The cryptocurrency market is notorious for its volatility, and Doge Matrix is no exception. Its price history reflects significant fluctuations between high and low values, which is typical of many new cryptocurrencies but underscores the risks associated with investment in emerging tokens. Lack of Detailed Information One of the most striking features about Doge Matrix is the scarcity of detailed information regarding its technological underpinnings and operational mechanisms. This ambiguity necessitates that potential investors conduct thorough due diligence before engaging with the project. Conclusion In summary, Doge Matrix ($doge m) illustrates a new wave of cryptocurrency projects that lean heavily on community engagement and cultural relevance. While lacking in certain specifics—such as clear leadership, defined objectives, and detailed functionality—the project has managed to generate interest within the crypto community, leveraging the established appeal of meme culture. As with any investment in the cryptocurrency space, understanding the inherent risks and conducting comprehensive research is essential for potential participants. Doge Matrix stands as a reminder of the dynamic, sometimes unpredictable nature of the crypto industry, marked by constant evolution and enthusiasm for community-driven initiatives.

3.7k Total ViewsPublished 2025.02.03Updated 2025.02.03

What is DOGE M

What is $M

Understanding Mantis ($M): A New Era in Cross-Chain Interoperability In the continually evolving landscape of Web3 and cryptocurrency, new projects strive to offer innovative solutions aimed at enhancing the user experience and expanding functional possibilities within the decentralized financial ecosystem. One such project garnering attention is Mantis ($M), a pioneering protocol founded on the principles of cross-chain interoperability and intent-based settlements. This article delves into the essential aspects of Mantis, including its core functionality, creators, investment backing, innovative features, and critical milestones. What is Mantis ($M)? Mantis is described as a multi-domain intent settlement protocol that simplifies cross-chain interactions, enabling users to execute complex financial transactions across various blockchain platforms seamlessly. The protocol operates through three primary layers: Intent Expression: Users can articulate their transaction goals using natural language facilitated by the DISE LLM, an advanced AI language model. For instance, a user might express a desire to swap Ethereum (ETH) for Solana (SOL) with a specific slippage tolerance of 1%. Execution: This layer employs a network of solvers that compete to fulfill user intents. Transactions are executed using mechanisms such as Coincidence of Wants (CoWs) and Order Flow Auctions (OFAs), which ensure that user demands are met optimally. Settlement: Leveraging the Inter-Blockchain Communication (IBC) protocol, Mantis enables atomic cross-chain transactions, allowing users to operate across various supported chains, including Ethereum, Solana, and Cosmos. Mantis is engineered to introduce native yield generation for idle assets, employing cryptographic proofs to maintain the integrity of transactions throughout the entire process. Creators & Development Team Mantis was conceived by the Composable Foundation, a research-driven organization notable for its emphasis on blockchain interoperability solutions. This foundation collaborates with esteemed academic institutions, including Harvard University and the University of Lisbon, contributing to extensive research and development efforts that inform Mantis's architecture and functionality. The Composable Foundation’s commitment to fostering innovation in the blockchain space positions Mantis as a robust solution for the growing demand for interoperability among multiple blockchain networks. Investors & Backing While specific details about individual investors have not been publicly disclosed, Mantis enjoys substantial backing from various entities, including: Ecosystem grants from IBC-enabled chains, which support the protocol's growth and integration within decentralized finance ecosystems. Strategic partnerships with infrastructure providers that enhance Mantis's network capabilities and deployment strategies. Funding through the Composable Foundation's treasury, ensuring sustained financial support for ongoing development and operational costs. These collaborative efforts reflect a consensus among stakeholders about the importance of enhancing cross-chain functionality and the potential utility of Mantis's infrastructural innovations. Key Innovations Mantis sets itself apart through several pioneering innovations that enhance its functionality and utility: Chain-Agnostic Intents: Users can initiate transactions from any supported chain while settling on another. This flexibility empowers users, driving increased interaction among different platforms. AI-Powered Interface: The integration of DISE LLM allows users to conduct complex DeFi operations using natural language, thereby simplifying interactions and making blockchain technology accessible to a broader audience. Cross-Domain MEV Capture: Mantis creates an internal market for maximal extractable value (MEV) through competitions among solvers. This innovative approach allows for greater efficiency and value extraction in complex transactions. Modular Settlement Layer: The protocol supports various verification methods, including zero-knowledge proofs and optimistic rollups, providing a versatile framework that can adapt to emerging blockchain technologies. Historical Timeline Mantis's development is marked by several critical milestones that chart its trajectory and growth: | Year | Milestone | |————|————————————————————————-| | 2022 | Initial concept development within the Composable Foundation's research division. | | Q3 2024 | Launch of the testnet with bridging capabilities between Solana and Ethereum. | | Q1 2025 | Anticipated Token Generation Event (TGE) alongside the mainnet launch. | | Q2 2025 | Expected integration of DISE LLM and expansion of cross-chain capabilities. | | 2025 H2 | Planned support for over 15 chains through further IBC upgrades. | This timeline outlines Mantis's evolution, from conceptual discussions to active implementation and future growth phases. Ecosystem Growth Strategy Mantis's strategy for ecosystem growth includes several initiatives designed to encourage user participation and developer engagement: Credits System: Users can earn protocol credits by providing liquidity and engaging in referral programs. These credits are redeemable for incentives in the future, fostering a robust user community. Modular Software Development Kit (SDK): This toolkit empowers developers to create applications based on intent-driven models utilizing Mantis's infrastructure, thus promoting innovation within its ecosystem. Governance Model: As the protocol matures, $M token holders will have a voice in protocol governance, allowing them to vote on proposed upgrades and changes, thereby enhancing community engagement and decentralization. Mantis represents a significant advancement in the realm of cross-chain architecture. By seamlessly integrating advanced AI algorithms with a robust settlement framework, Mantis seeks to tackle the problems of fragmentation within multi-chain ecosystems. Its innovative approach prioritizes improved user experiences while adhering to the foundational principles of decentralization and security, setting a new standard for the future interoperability of blockchain technologies. As Mantis continues its journey of growth and implementation, it promises to be a project to watch closely in the competitive landscape of Web3 and decentralized finance. With its focus on crossing boundaries and elevating user engagement, Mantis is poised to be an integral part of the future developments in the cryptocurrency space.

244 Total ViewsPublished 2025.03.18Updated 2025.03.18

What is $M

How to Buy M

Welcome to HTX.com! We've made purchasing MemeCore (M) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy MemeCore (M) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your MemeCore (M)After purchasing your MemeCore (M), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade MemeCore (M)Easily trade MemeCore (M) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

7.2k Total ViewsPublished 2025.07.02Updated 2026.06.02

How to Buy M

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of M (M) are presented below.

活动图片