• MOSDEX, a crypto arbitrage platform, uses AI and Deep Neural Networks to find arbitrage opportunities.
• The new technology is expected to lead to better profitability with lower costs for users.
• Introducing Deep Neural Networks in the DeFi space is paving the way for further AI adoption.
MOSDEX Leverages AI and Deep Neural Networks
MOSDEX, a crypto arbitrage platform, has deployed Artificial Intelligence (AI) and Deep Neural Networks (DNNs) on its arbitrage staking platform. The new technology is aimed at finding profitable cross-chain arbitrage opportunities in the decentralized finance (DeFi) space. MOSDEX expects this to lead to better profitability with lower costs for users, setting a “new benchmark” for DeFi.
How It Works
The AI Path Finder technology scans decentralized finance protocols and liquidity pools for price discrepancies, executing an arbitrate trade when it finds one. User capital funds these trades and they receive a share of the profits generated from them. This process is expected to be more efficient, faster and more profitable than traditional methods due to the deployment of DNNs technology by MOSDEX.
As with any yield-generating strategy in DeFi, there are associated risks with granting custody over your crypto assets which should be taken into consideration before doing so. Additionally, there is no guarantee of returns as the crypto markets are volatile and unpredictable in nature.
Impact of AI Adoption
The introduction of DNNs into the DeFi space reflects the growing influence of AI technology within cryptocurrency markets overall. This suggests that AI will continue to drive DeFi adoption going forward as more platforms look for ways to improve efficiency and profitability for their users through automation processes such as this one employed by MOSDEX.
Staying safe while investing in cryptocurrencies requires staying aware of any security threats or scams that may occur in order to protect yourself from potential losses incurred from them; KuCoin’s recent Twitter hack serves as an example of this risk which was luckily avoided by many investors who had taken preventive measures beforehand..