AI vs Marketmaker
Published: 2024-07-11 23:53:12


Today, an increasing number of people are becoming familiar with cryptocurrency and actively exploring its possibilities. With the advancement of neural network technologies, token creators now have the opportunity to integrate AI into market making. Neural networks facilitate transaction execution, display coin rates, and provide predictive insights.

However, the overarching question remains: what is the overall impact of AI adoption, and can it fully replace the role of a market maker today? The answer lies in examining existing cryptocurrency projects that have implemented neural networks.

The **[EARTH TON](t.me/earthtonofficial)** project has particularly captured my interest. Focused on ecological themes, which are highly appealing to investors, it boasts a significant following with 60,000 Telegram subscribers. This prompted me to explore it as an example of AI integration in cryptocurrency platforms.


**What advantages does AI offer businesses today?**

Neural networks have already revolutionized various economic sectors. From gadgets and self-service kiosks to online chatbots, AI brings several benefits:

Automation streamlines internal workflows, enhancing efficiency.
AI takes over tasks traditionally handled by employees, reducing labor costs.
Minimized incidents and errors due to human oversight.
These advantages have spurred the integration of neural networks into specific tasks within cryptocurrency projects. The market comprises various participants, including long-term investors and arbitrage practitioners.

Now, let's delve into how replacing a market maker with AI can benefit project development and investors alike.

Automating trading and transaction closures under AI control is pivotal for market makers aiming to increase trade volume and profits. AI replicates transaction processes swiftly, significantly reducing processing times compared to human interaction.

Implementing an autonomous AI algorithm for trading automation involves integrating bots for obtaining initial transaction data (e.g., cryptocurrency pair exchange rates, transaction volumes) directly from the platform. Placing this autonomous neural network on a separate server and synchronizing it with the platform via API ensures operational transparency and reliability.

AI also plays a crucial role in forecasting exchange rates and managing risks. Long-term investors rely on accurate predictions to capitalize on market fluctuations. By analyzing vast datasets, AI enhances forecasting accuracy, minimizing risks associated with market volatility.

For young cryptocurrency projects, AI presents an alternative to traditional market makers who typically prioritize established cryptocurrencies like Bitcoin and Ethereum. Implementing AI reduces dependency on market makers, mitigating risks associated with inexperienced or opportunistic actors.

While AI's current capabilities allow for specific market-making functions such as trade closures and accurate forecasting, broader applications require further development. Therefore, platforms like EARTH TON strategically leverage AI for secondary market processes while employing traditional methods for primary operations.

In conclusion, while AI can perform certain market maker functions effectively, complete replacement remains a distant goal. Nonetheless, its role as a reliable assistant is increasingly recognized across cryptocurrency platforms, like **EARTH TON**. Future advancements in AI technology will likely redefine its impact in various sectors, including cryptocurrency markets.