#United States #Sheridan #Crypto Analysis #GenesisL1 #GL1F Crypto

GenesisL1 Launches GL1F Crypto: A New Era for Crypto Analysis

In a significant development for cryptocurrency enthusiasts and professionals alike, GenesisL1 has officially launched GL1F Crypto, a decentralized, no-code machine learning studio designed to democratize access to sophisticated tools for cryptocurrency market analysis. This innovative platform aims to enable users—regardless of their coding expertise—to build, deploy, and monetize machine learning models with remarkable ease.

The Concept Behind GL1F Crypto

Operating on the GL1F protocol, this new platform provides a full-scale automated quantitative research lab that users can access directly from any web browser, whether on a desktop or a mobile device. The primary aim of GL1F Crypto is to break down barriers often associated with the complexities of data analysis, thus paving the way for broader participation in the cryptocurrency market.

In the initial release, users can create and deploy models in just five straightforward steps: dataset selection, training, backtesting, deployment, and prediction. At launch, GL1F Crypto offers an impressive library of 274 signals encompassing various aspects of the market, including not only cryptocurrencies but also traditional financial markets, significant world events, natural disasters, and even astronomical data—all designed to provide users with the historical context needed for informed decision-making.

No-Code Machine Learning: How It Works

What sets GL1F apart is its commitment to accessibility. Users are guided through the model-building process without needing to write a single line of code. By simplifying the complexity involved in machine learning, GenesisL1 empowers users at all knowledge levels to harness the power of AI.

Each model created on the platform is tokenized as a Model NFT, which is securely stored on the blockchain. This innovative feature ensures that the inference runs both on the Ethereum Virtual Machine (EVM) and within the browser, with outputs that are consistent and verifiable. Each creator can set licenses and monetize their models through various methods, including inference plans, per-call fees, or the sale of the Model NFT itself, which grants admin rights to the new owner. This creates an ecosystem where not only knowledge but also financial benefits can be shared among participants.

The Driving Force: Mikhail Fedorov's Vision

GenesisL1’s founder, Mikhail Fedorov, expressed his enthusiasm for this launch, stating, “Machine learning just left the hedge fund. GL1F Crypto is the world’s first data science and machine learning educational decentralized application (dApp). It gives everyone the lab to search for an edge and the discipline to test whether it holds up.”

This powerful sentiment highlights the drive behind GL1F Crypto: to offer a nurturing ground for both novices and seasoned professionals to explore data science's potential within cryptocurrency trading and analysis.

Currently, you can join this revolution of education and research as GL1F Crypto is live in early alpha at crypto.gl1f.com. The platform is open-source, with comprehensive details available in the GL1F whitepaper.

A Cautionary Note

It is essential to note that GL1F Crypto is categorized as experimental software meant for educational and research purposes. It does not constitute investment, financial, or trading advice. The native cryptocurrency of the protocol, L1, is dedicated to handling fees, execution, staking, governance, and settlement but does not represent equity or guarantee returns.

Conclusion

GenesisL1 sets a precedent in the blockchain world with the introduction of GL1F Crypto. This platform will not only democratize AI in cryptocurrency analysis but also foster a new generation of data scientists and cryptocurrency traders. The prospect of a more engaged and knowledgeable population in cryptocurrency trading suggests a promising future for this sector as education becomes increasingly accessible.

For further inquiries, media contact Mikhail Fedorov at [email protected] or via phone at +1 207-987-0880.