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Ripple 的技術長 David Schwartz 推出了受 XRP Ledger 的自動做市商 (AMM) 啟發的人工智慧交易機器人。這些早期機器人旨在增強中心化交易所交易體驗並產生理想的年收益率。施瓦茨預計收益率為 11%,但也承認價格小幅上漲和交易費用等挑戰。為了促進協作和透明度,程式碼將在 GitLab 上發布,使社群能夠做出貢獻以提高機器人功能。
Ripple Introduces AI-Powered Trading Bots, Unleashing Enhanced Trading Capabilities
Ripple 推出人工智慧交易機器人,釋放增強的交易能力
David Schwartz, Chief Technology Officer of Ripple, has unveiled the development of artificial intelligence (AI)-powered trading bots, designed to revolutionize the trading experience on centralized exchanges. These bots, currently in their nascent stages, are inspired by the XRP Ledger's Automated Market Maker (AMM) and aim to deliver attractive annual yields.
Ripple 技術長 David Schwartz 公佈了人工智慧 (AI) 支援的交易機器人的開發成果,旨在徹底改變中心化交易所的交易體驗。這些機器人目前處於起步階段,受到 XRP Ledger 的自動做市商(AMM)的啟發,旨在提供有吸引力的年收益率。
Bot Capabilities and Potential
機器人的能力和潛力
According to Schwartz, the trading bots are estimated to generate an annual yield of approximately 11%. Ripple's objective is to showcase the bot's capabilities effectively and reliably, recognizing that it may not be responsive to smaller price gains. However, Schwartz cautions that trading fees can impact pricing and profitability, presenting a significant challenge.
據 Schwartz 稱,交易機器人的年收益率預計約為 11%。 Ripple 的目標是有效、可靠地展示機器人的功能,並認識到它可能不會對較小的價格漲幅做出反應。然而,施瓦茨警告說,交易費用可能會影響定價和獲利能力,構成重大挑戰。
To address this, Ripple plans to release the bot's code on GitLab, enabling the public to review and contribute to its development. This open-source approach fosters collaboration and allows for the collective enhancement of the bot's capabilities.
為了解決這個問題,Ripple 計劃在 GitLab 上發布該機器人的程式碼,使公眾能夠審查並為其開發做出貢獻。這種開源方法促進了協作並允許集體增強機器人的功能。
Challenges and Opportunities
挑戰與機遇
The trading bot's implementation is contingent upon its performance and improvement from its current rough state. Additionally, the team faces the challenge of navigating the tax implications associated with short and long-term gains.
交易機器人的實施取決於其性能以及相對於當前粗糙狀態的改進。此外,該團隊還面臨著應對與短期和長期收益相關的稅收影響的挑戰。
Despite these hurdles, Ripple is undeterred, recognizing the potential of decentralized AMMs on the XRP Ledger. Schwartz believes that XRP-based AMMs may dominate the market due to the algorithm's design, which favors volatility harvesting.
儘管有這些障礙,Ripple 並沒有被嚇倒,它認識到 XRP 帳本上去中心化 AMM 的潛力。 Schwartz 認為,基於 XRP 的 AMM 可能會因為演算法的設計有利於波動性收穫而主導市場。
Market Impact
市場影響
The announcement of the trading bots has positively impacted the price of XRP, which has risen by 4.88% in the past 24 hours. The cryptocurrency is currently trading at $0.6348, with an increase of 4.88% in market capitalization and 13.81% in 24-hour volume.
交易機器人的發布對 XRP 的價格產生了積極影響,XRP 的價格在過去 24 小時內上漲了 4.88%。該加密貨幣目前交易價格為0.6348美元,市值上漲4.88%,24小時成交量上漲13.81%。
Alignment with XRP Ledger Principles
與 XRP 帳本原則保持一致
The development of the trading bot aligns with the principles of the XRP Ledger. As Schwartz stated, "The long-term vision is AMMs on XRPL with two supported assets. I'm betting that the ones with XRP will dominate, based on the design of the algorithm, which favors volatility harvesting."
交易機器人的開發符合 XRP 帳本的原則。正如 Schwartz 所說,“長期願景是 XRPL 上的 AMM 擁有兩種受支持的資產。我敢打賭,基於有利於波動性收穫的演算法設計,支持 XRP 的 AMM 將佔據主導地位。”
Industry Context
產業背景
Ripple's trading bots will join a growing ecosystem of crypto trading bots, including Pionex, CryptoHopper, and Coinrule. Many of these bots offer free accounts to users, creating a competitive landscape.
Ripple 的交易機器人將加入不斷發展的加密貨幣交易機器人生態系統,包括 Pionex、CryptoHopper 和 Coinrule。其中許多機器人向用戶提供免費帳戶,從而形成競爭格局。
Conclusion
結論
Ripple's AI-powered trading bots represent a significant step forward in the evolution of centralized exchange trading. By leveraging AI and the principles of the XRP Ledger, Ripple aims to enhance the trading experience and deliver attractive returns. The open-source nature of the bot's code fosters collaboration and enables the community to contribute to its ongoing development.
Ripple 的人工智慧交易機器人代表了中心化交易所交易發展的重要一步。透過利用人工智慧和 XRP 帳本原理,Ripple 旨在增強交易體驗並提供有吸引力的回報。該機器人程式碼的開源性質促進了協作,並使社群能夠為其持續開發做出貢獻。
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