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Ripple And Near Protocol Competitor Crosses $4.6 Million After AI Infrastructure Investment

by NZU
15 5 月, 2024
in Crypto News
0
Ripple And Near Protocol Competitor Crosses $4.6 Million After AI Infrastructure Investment

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In the rapidly changing world of cryptocurrency, new players keep appearing to challenge the older ones. In this ever-changing environment, Algotech, as a new player, has notched up huge successes, garnering over $4.6 million in presale fundraising, thereby positioning itself as a worthy adversary to behemoths such as Ripple and Near Protocol. 

Ripple and Near Protocols’ Facing Hurdles

As Algotech debuts on the market, other well-established players, including Ripple and Near Protocol, are facing their own troubles. The blockchain giant Ripple, which owns the XRP cryptocurrency, is presently battling in court with the US Securities and Exchange Commission (SEC) about whether XRP should be classified as a security.

The SEC has resisted Ripple’s claim of paying a lower fine, arguing that the suggested penalty of just about $10 million was “a slap on the wrist.” In view of the alleged violations and funds raised from XRP sales, the regulatory body contends for a fine of at least almost $2 billion.

On the one hand, another significant player in the cryptocurrency market, Near Protocol, is going through its problems. In an interesting twist of events, the protocol’s official social media handles were hacked into and some strange and mysterious messages were posted on them. A series of tweets commanding readers to fight for their freedom and dark references to it caused a stir among players in cryptocurrency community.

Additionally, the recent 40% staff layoffs by the protocol show that the situation is more worrisome than others had. On the other hand, Near Foundation has announced plans to reorganize itself with more focus on fewer programs raising questions about how well the protocol can survive in the long term.

Algotech’s Innovative Algorithmic Trading Approach

Amid the turbulent times of established players, Algotech captured the spotlight. A disruptive force in the industry, Algotech is a decentralized algorithmic crypto trading platform that intends to revamp trading and investment using technological innovation and automation.

Algotech’s platform has a wide range of algorithm strategies that cater to different market conditions and trading preferences. These range from mean reversion and momentum trading to breakout trading as well as arbitrage opportunities; thus, it targets providing customized solutions to profitable traders.  

Among Algotech key strengths is a strong technical infrastructure capable of handling huge volumes to trade at high speed. Enhanced algorithms together with optimized infrastructure guarantees low latency and reliability thereby creating a trader friendly environment for those dealing on dynamic financial marketplaces.

Algotech $1.2M AI Infrastructure Investment in H100 GPUs

In order to make trading better, Algotech has invested $1.2 million in H100 GPUs from NVIDIA because it realizes that artificial intelligence (AI) is central to improving trading capabilities. The aim of this investment is to exploit current technologies of AI and enhance the performance as well as drive innovation.

This means Algotech will be able to handle huge volumes of data on market trends faster, identify complex patterns, detect trends, and execute trades in a split second with utmost precision while using AI technologies. By applying machine learning and AI, Algotech expects more informed traders who can keep up with present market opportunities.

Furthermore, the use of H100 GPUs is in line with Algotech’s dedication to risk management and user safety. The use of advanced AI algorithms enables ongoing real-time market analysis that can identify possible risks while reacting promptly to them, leading to loss minimization, thus safeguarding investments and enhancing general trading performance.

Learn more:

Visit Algotech Presale

Join The Algotech Community


Credit: Source link

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