Bitget App
Trade smarter
Buy cryptoMarketsTradeFuturesStocksEarnInstitutionAI & More
MemeToro Development Begins As Morgan Stanley Expands From Bitcoin Into ETH And SOL Products: Best Presale Crypto?

MemeToro Development Begins As Morgan Stanley Expands From Bitcoin Into ETH And SOL Products: Best Presale Crypto?

BitcoinSistemiBitcoinSistemi2026/07/30 15:33
By:BitcoinSistemi

Morgan Stanley has expanded beyond Bitcoin by launching Ethereum and Solana trusts, giving traditional investors access to three major digital assets. At the other end of the market, MemeToro has started public development with Coinsult.

Morgan Stanley Gives Investors Regulated ETH And SOL Access

Morgan Stanley Investment Management launched the Ethereum Trust and Solana Trust on July 28. Both exchange-traded products charge an expense ratio of 0.14%.

MSSE tracks the CoinDesk Ether Benchmark 4PM New York Settlement Rate, while MSOL follows the equivalent Solana benchmark.

The products intend to stake part of their ETH and SOL holdings. Staking rewards will pass through to the trusts, giving investors potential income alongside price exposure.

Morgan Stanley’s existing Bitcoin Trust held more than $381 million in assets through July 16. The expanded suite now covers Bitcoin, Ethereum, and Solana under one product range.

Staking Returns Come With Specific Risks

Morgan Stanley’s new products are not FDIC insured and can lose substantial value. Their staking strategies introduce slashing, validator, and liquidity-buffer risks.

The trusts provide convenience but do not give investors direct control over the underlying assets. They also carry annual expenses that direct holders may avoid.

ETH and SOL offer established networks, public liquidity, and significant institutional acceptance. Their scale can make extreme percentage gains more difficult than those available to smaller tokens.

MemeToro’s Public Repository Shows Development Has Started

MemeToro has entered its Foundation and Architecture phase with Coinsult leading development.

The project has published its architecture, launch-manifest specification, example manifest, roadmap, security policy, and contribution guide through an MIT-licensed GitHub repository.

Its practical development benefits include:

  • Publicly visible progress
  • Community issue submissions
  • Standardized launch manifests
  • ERC-8004 integration plans
  • Security design before deployment
  • Independent review before mainnet

The Hourly AI Agent Creates A Distinct Use Case

MemeToro’s planned agent will analyze news, market movements, and social sentiment continuously. It will produce a complete memecoin concept every hour, including the name, ticker, reasoning, and launch manifest.

The fair-launch protocol will accept fixed-rate funding in BNB, stablecoins, or $MT. Wallet limits will restrict early concentration, while contracts will automate deployment, liquidity, and distribution.

This model gives MemeToro a different purpose from Morgan Stanley’s trusts. The trusts provide regulated exposure to existing assets. MemeToro aims to create transparent markets around new AI-generated assets.

Final Words

MemeToro has raised $87,351.66 during Stage 5, filling 71.02% of the round. Each $MT costs $0.00285, compared with a planned launch price of $0.01875.

The difference is roughly 6.58 times, but public trading may produce a different valuation.

Investors should follow the commits, review the manifest, and check whether Coinsult completes each published milestone.

Morgan Stanley’s expansion shows that crypto is entering traditional portfolios. MemeToro represents the opposite edge of that market: open-source development before a platform exists.

For high-risk buyers, early verification of project progress is important. MemeToro now provides that visibility, but execution remains the deciding factor.

0
0

Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

Understand the market, then trade.
Bitget offers one-stop trading for cryptocurrencies, stocks, and gold.
Trade now!

You may also like

Google (GOOGL.US) achieves major breakthrough in quantum computing! Key error rates reduced by about 40 times, moving closer to practical application

Google, a subsidiary of Alphabet, announced that it has demonstrated a new technology which reduces the error rate of a key aspect of quantum computing by about 40 times. This marks progress toward building powerful and reliable machines capable of solving problems beyond the reach of traditional computers.

智通财经•2026/10/19 00:57
Google (GOOGL.US) achieves major breakthrough in quantum computing! Key error rates reduced by about 40 times, moving closer to practical application

Firmus's IPO dream shattered, triggering a chain reaction! British AI data center developer Nscale's $30 billion valuation under pressure as investors "slash price" to $16 billion

Recently, a group of investors has urged Nscale to consider a valuation range of $16 billion to $19 billion, believing that this range is more likely to attract buyers. One important factor is the failure of the IPO plan of Australian AI data center company Firmus.

智通财经•2026/10/19 00:47
Firmus's IPO dream shattered, triggering a chain reaction! British AI data center developer Nscale's $30 billion valuation under pressure as investors "slash price" to $16 billion

Goldman Sachs: US stocks still have upside potential, but don't chase the leading stocks; market breadth is at its narrowest since the Internet bubble.

Goldman Sachs believes the stock market still has room to rise, but warns investors not to chase the market leaders.

智通财经•2026/10/19 00:47

UBS Trading Desk: Last Week’s US Stock Market Performance Resembled the Time of the ‘AI Stock Guru Liquidation’

UBS Trading Desk believes that US equities last week experienced "deleveraging rather than derisking"—AI and momentum sectors faced targeted sell-offs, with storage dropping 16% in a single week. Funds shifted to defensive and value sectors, but overall risk exposure was not systematically abandoned. Hedge funds' total exposure remains at the high 90th percentile, and risks of further deleveraging persist. The so-called "AI stock guru liquidation" at the time was also a result of crowded positions being forced to close, rather than a fundamental-driven systemic sell-off.

华尔街见闻•2026/10/19 00:16
UBS Trading Desk: Last Week’s US Stock Market Performance Resembled the Time of the ‘AI Stock Guru Liquidation’