Connect with us

Uncategorized

Focus on Market Cap, Trading Volume Rather Than Engagement for a Successful Token Launch, Research Shows

Published

on

Move over the endless X threads and VC endorsements. A deep dive into the token launch dynamics by Simplicity Group shows that token debuts are more about cold, hard fundamentals and less about hype and marketing.

The firm analyzed over 50,000 data points related to 40 crypto token launches in the first four months of the year to derive following conclusions:

Engagement isn’t everything

The popular notion in the crypto community is that increased activity on social media translates to a successful token launch. But Simplicity Group found no statistical relationship between social media engagements, particularly replies, post and likes on X (formerly Twitter) and price performance of the token in one-week after the launch.

Infact, research points to negative correlation between interactions and returns one-week and one-month after the launch – indicating that the more replies, reposts and likes the project had, the worst its price performed. «This is statistically insignificant correlation, and not caustion, yet something to note,» the report said.

However, projects with more engagement ahead of the token generation event (TGE), as a data set of its own, had stronger one-month performance likely due to broader base of awareness.

The initial market cap reality check

The research analyzed the correlation between the initial market cap (IMC) and initial circulating supply (referred to as initial float) and the price performance one-week and one-month after the TGE.

It found a strong negative correlation between a token’s IMC and its price performance. «For every 2.7x increase in IMC, there’s an approximately 1.37% drop in 1-week returns and a 1.56% drop in 1-month returns,» the report said.

The report further noted that a lower IMC usually translates into a price pump over the first week, with the strength lasting for at least a month.

Meanwhile, initial circulating supply is irrelevant for predicting one-week price performance, the report revealed, implying that the total dollar value of the initial float matters more than the percentage of supply unlocked at the launch.

Trading Volumes

The report collected volumes on TGE, one week after the launch and one month following the launch and analyzed the correlation with the price performance.

Initially the two appeared uncorrelated, but Spearman’s rank correlation showed that tokens that experienced a drop in volume tended to perform worse in price terms.

«In simpler terms, while it seemed that performance is not linearly tied to volume, tokens with higher volume retention tend [to] perform better, even if the relationship between the numerical values isn’t linear,» the report noted.

Volume retention, calculated as the ratio, refers to how much of the volume is sustained one month following the TGE.

Big money doesn’t guarantee success

Lastly, the report scrutinized a popular belief that a well-funded project backed by big VCs is destined for success. The report, however, noted that, «raising more money does not mean you will have a better token, as the extra benefits of more cash do not, statistically speaking, outweigh the costs.»

The study found little to no statistically significant relationship between the amount of money raised by a project and its token’s price performance.

Key takeaways

Simplicity Group’s quantitive analysis showed that product-driven content and genuine user engagement far outweigh generic marketing efforts in driving sustainable token success.

The study cited Bubblemaps and Kaito as projects that organically generate content related to their core product functionality, demonstrating consistent engagement and positive price performance.

In contrast, those relying on heavy memes, promotional campaigns and generic calls-to-action have seen a sharp drop in engagement immediately following the TGE, leading to weaker price outcomes. The report also stressed the need for a consistent and authentic tone in all communications, aligning with the projects overall brand target, use case and target audience.

Lastly, it highlighted the critical role of transparency and acessible technical updates in building credibility.

Disclaimer: Parts of this article were generated with the assistance from AI tools and reviewed by our editorial team to ensure accuracy and adherence to our standards. For more information, see CoinDesk’s full AI Policy.

Continue Reading
Click to comment

Leave a Reply

Ваш адрес email не будет опубликован. Обязательные поля помечены *

Uncategorized

Asia Morning Briefing: The First AI vs BTC Environmental Impact Numbers are Here. And it Might Start a New Debate

Published

on

By

Good Morning, Asia. Here’s what’s making news in the markets:

Welcome to Asia Morning Briefing, a daily summary of top stories during U.S. hours and an overview of market moves and analysis. For a detailed overview of U.S. markets, see CoinDesk’s Crypto Daybook Americas.

Mistral AI recently offered a rare benchmark in the Artificial Intelligence industry’s environmental disclosure, detailing the footprint of its flagship large language model, Mistral Large 2.

Over 18 months, training and operating this model generated 20.4 kilotonnes of CO₂-equivalent emissions, consumed 281,000 cubic meters of water, and depleted 660 kilograms of antimony-equivalent materials, Mistral’s report said. Notably, a single 400-token response from its chatbot, Le Chat, uses just 1.14 grams of CO₂, 45 mL of water, and 0.16 milligrams of mineral resources.

But how does this compare to bitcoin’s carbon footprint? After all, bitcoin’s energy use has been the subject of significant debate and is often cited when establishing bans on bitcoin mining in jurisdictions.

That makes AI inference seem downright frugal compared to Bitcoin’s proof-of-work engine. On average, one Bitcoin transaction emits between 600 and 700 kilograms of CO₂, consumes more than 17,000 liters of water, and generates over 130 grams of electronic waste.

Zooming out, the entire Bitcoin network emitted roughly 48 million tonnes of CO₂ in 2023, according to the Cambridge Centre for Alternative Finance. It also consumed over 2 billion liters of water and produced more than 20,000 tonnes of e-waste.

However, the Cambridge Centre’s numbers, although peer-reviewed, have been the source of considerable criticism and require important caveats.

First, Bitcoin’s electricity mix is not monolithic.

According to a survey of miners conducted by BTC Investment fund Batcoinz as of March 2023, Hydropower (23.1%), wind (13.9%), and solar (5%) collectively account for more than 40% of Bitcoin’s energy consumption. The difference between the numbers is because surveys done by Batcoinz include off-grid generation.

Nuclear energy, often considered carbon-neutral, accounts for another 7.9%. Gas and coal together represent 44%, but Bitcoin’s energy profile is more diversified than critics often assume.

Second, LLMs may benefit from a cleaner grid by default. For example, nuclear energy comprises over 22% of the European Union’s electricity generation, which reduces the CO₂ emissions associated with model training and inference in EU-based data centers such as Mistral’s.

That advantage isn’t due to model architecture, it’s grid geography. A U.S.-based training run drawing from coal-heavy regions would present a very different environmental profile.

So while the marginal footprint of using an LLM is vastly smaller than processing a BTC transaction, both operate within infrastructure landscapes that significantly shape their true environmental impact.

Training frontier models like GPT-4 or Gemini can still require millions of GPU-hours and heavy water consumption, depending on location. Still, Bitcoin’s design, mining every 10 minutes regardless of demand, results in a fixed energy cost that scales with time, not usage.

In contrast, AI’s marginal cost scales with the frequency of model usage. That distinction makes the emissions from a chatbot reply easier to amortize than those from a block reward.

As global scrutiny increases over the environmental costs of computation, transparency initiatives like Mistral’s, provide important reference points.

While proof-of-work is energy-intensive, the Bitcoin blockchain’s halving mechanism steadily reduces the rate at which new coins are created, encouraging miners to become more efficient over time. Its environmental footprint should be weighed against the utility it provides in securing a decentralized, global financial network.

Continued improvements in clean energy adoption and mining optimization will be key for both BTC and AI as they scale into core pillars of the digital economy.

Market Movers:

BTC: Bitcoin is trading at $119,500, struggling to maintain momentum after last week’s all-time high of $123,100, as retail-driven sell pressure on Binance has pushed Net Taker Volume below $60 million and signaled growing bearish sentiment, according to CryptoQuant.

ETH: Ether has pulled back over 3% to $3,696 after a multi-week climb toward $4,000, as technical indicators flash red and analysts question whether the rally can continue without a broader correction, despite ongoing institutional accumulation.

Gold: Gold prices rose nearly 1% on Tuesday, with spot gold reaching a five-week high of $3,430.41 amid ongoing trade uncertainty and falling US bond yields, which continue to draw investor interest.

Nikkei 225: Asia-Pacific markets opened higher after U.S. President Donald Trump announced a “massive Deal” with Japan, lifting tariffs to 15% on Japanese exports, with the Nikkei 225 rising 1.71% at the open.

S&P 500: US stocks closed mixed Tuesday, but the S&P 500 edged slightly higher to a record 6,309.62 as investors weighed earnings reports

Elsewhere in Crypto:

Continue Reading

Uncategorized

Dan Tapiero Projects Crypto Economy Hitting $50T, Launches $500M Fund Under New Firm

Published

on

By

Well-known digital asset investor Dan Tapiero is merging private equity firms 10T Holdings and 1RoundTable Partners under a new brand 50T, reflecting his forecast that the digital asset ecosystem will reach a market value of $50 trillion in the next decade.

«50T is a natural evolution from our original thesis in 2020 when we launched 10T with the belief that the digital asset ecosystem would grow from $300 billion to $10 trillion in 10 years,» Tapiero said in a Tuesday press release.

«Today, we estimate that we’re already at $5 trillion, far exceeding our initial timeline, which is why we’re adjusting our outlook upward,» he said. «Recent successes like the Circle IPO and Deribit acquisition demonstrate the maturity of this sector and validate our investment thesis that all value will eventually move on-chain.»

USDC stablecoin issuer Circle surged nearly 10-fold from its initial price following its the stock market debut last month, while crypto exchange Coinbase acquired Deribit for $2.9 billion in May.

Funds under 50T were investors in Circle, Deribit, and digital trading platform Etoro, which also went public recently, and other portfolio companies are also gearing towards going public, the press release said.

50T is also launching a $500 million growth equity fund dubbed 50T Fund alongside the rebrand.

It’s a closed-end fund with a ten-year horizon, designed to back later-stage companies building out core infrastructure in blockchain and web3, with a first close planned in Q4 2025.

Continue Reading

Uncategorized

SEC Approves, Immediately Pauses Bitwise’s Bid to Convert BITW Crypto Index Fund to ETF

Published

on

By

The Securities and Exchange Commission approved — then abruptly paused — Bitwise’s plan to convert its Bitwise 10 Crypto Index Fund (BITW) into a spot exchange-traded fund (ETF) on Tuesday, raising fresh uncertainty around the agency’s standards for crypto ETFs.

The fund holds 90% of its weight in bitcoin (BTC) and ether (ETH), with the remainder spread across Solana (SOL), XRP, Cardano (ADA), Avalanche (AVAX), Chainlink (LINK), Bitcoin Cash (BCH), Uniswap (UNI) and Polkadot (DOT). It manages $1.68 billion in assets and rebalances monthly.

Bitwise launched the fund in 2017. The 2.5% expense ratio remains steep by ETF standards, but the conversion to a spot ETF would make BITW the first multi-asset crypto index ETF in the U.S. — if it proceeds. The asset manager has not yet disclosed if the management fee would stay at 2.5%.

A similar product, Grayscale’s Digital Large Cap Fund (GDLC), which tracks BTC, ETH, XRP, SOL and ADA, also received initial SEC approval before the agency reversed course, pausing the fund’s launch.

A letter from the SEC on Tuesday said «the Commission will review the delegated action,» identical wording to the letter Grayscale received when its ETF was paused.

According to sources who spoke to CoinDesk at the time, the SEC’s hesitation likely stems from the need to establish consistent standards for crypto ETFs, particularly for tokens like XRP and ADA that do not yet have standalone ETFs.

The SEC’s ETF docket has been busy. On Tuesday, the regulator published filings from Franklin Templeton, Fidelity, Invesco Galaxy, and others seeking to amend redemption mechanics for their Bitcoin and/or Ethereum ETFs. It also launched a review of the Canary Capital SUI ETF and extended the deadline on 21Shares’ SUI ETF application.

Separately, 21Shares filed a proposal for an ETF tracking ONDO, the token powering real-world asset platform Ondo Finance.

Continue Reading

Trending

Copyright © 2017 Zox News Theme. Theme by MVP Themes, powered by WordPress.