Forwarded the Original Title：PerpAI: At the Crossroads of Perps and AI (DeFAI v1.2)

You’ve definitely noticed this: many DeFi protocols are now incorporating AI agents to:

• Ride the trading meta
• Arm their users with new automated and AI-driven experiences

This evolution has given birth to the new shiny DeFAI movement (DeFi + AI). However, these discussions often overlook a key player: perpetual futures DEXes. So, what will happen when AI agents meet on-chain perps, and how do we leverage PerpAI?

PerpAI: Potential Use Cases

AI Agents are poised to revolutionize the way we interact with everything – including crypto. Here are some potential new use cases that could emerge at the intersection of perpetual futures trading and AI agents.

We’ve already seen examples of AI agents, such as those from @Spectral_Labs, trading on @HyperliquidX. But what specific use cases can perp DEXes integrate into their platforms?

1. A Big Perp DEX to Partner with

In this context, we’re looking at platforms like @SynFuturesDefi, @HyperliquidX, @JupiterExchange, or @dYdX – the giants dominating perpetual volume. SynFutures, as the leading perp DEX on @Base, might have a strategic edge here given that @aixbt_agent’s home is also Base.

Imagine a “Degen Mode” that leverages insights from aixbt for auto-trading on SynFutures or another perp DEX. This mode could incorporate not just social analytics and news but also perp-native data like open interest (OI), volume trends, and funding rates.

Example Expansion: For instance, imagine a scenario where the AI identifies a sudden surge in funding rates on BTC perps due to increasing long positions. It could initiate a counter-trend short trade, maximizing profitability from over-leveraged traders on the opposing side.

Access to such features might be granted through dual staking or dual token ownership (just speculation, as teams tend to innovate their own ways).

2. AI Agents Managing Liquidation Risks

This use case could easily become a killer feature for the DEX that adopts it first. By monitoring funding rates, volatility, and collateral health, AI agents can automatically adjust leverage levels to manage liquidation risks.

Example Expansion: Suppose a user’s collateral is predominantly ETH, and the market experiences a sharp ETH price drop. The AI agent could dynamically rebalance collateral into a stablecoin to reduce liquidation risk or even partially close positions if the margin buffer becomes too thin.

In more advanced setups, it could hedge using options, provided the perp platform supports such integrations. This approach ensures traders can sleep soundly, knowing their positions are safeguarded in real time.

3. AI Agent as a Personal Trading Tutor

If you’ve ever played online chess, you’ve likely encountered post-game analytics highlighting missed opportunities and mistakes. AI agents can offer a similar experience for traders.

Example Expansion: Imagine an AI agent generating a comprehensive post-trade report detailing areas for improvement, such as “You exited this trade prematurely; historical data suggests holding for another hour would have increased profits by 15%.” It could also suggest alternative strategies based on historical success rates, like “Consider using a trailing stop-loss for trend-following trades.”

This concept opens new revenue streams for experienced traders: allowing an AI agent to analyze their trades and understand the factors influencing entry and exit points. Over time, the AI becomes smarter, recognizing universal patterns among successful traders and serving as a tutor for less experienced users.

This service could be offered as a paid feature, with revenue sharing for traders boasting the highest ROI. Alternatively, it could evolve into an automated AI-driven trader that learns from the best humans and mimics high-confidence trades based on its framework.

4. Liquidity AI Swarms

This idea focuses on the other side of trading: liquidity. AI agents could analyze factors like volatility, market depth, and trading activity to create a “swarm intelligence” that dynamically rebalances liquidity across markets and platforms.

Example Expansion: Picture a scenario where a market experiences a liquidity crunch due to heightened demand for a specific asset. The AI swarm could detect this early, reallocating liquidity from lower-demand markets to stabilize spreads and minimize slippage for traders.

In practice, this would mean a unified pool of liquidity for all perp DEXes, with AI agents directing liquidity to markets experiencing high demand. This approach could significantly enhance capital efficiency and generate above-average returns for liquidity providers by strategically allocating resources.

Key Players to Watch

Who are likely to be the first teams to incorporate some of these ideas (or perhaps their own vision of AI Agents) before these innovations become the new gold standard for perp DEXes?

Especially in the case of an AI Risk Manager, the leaders are most likely to emerge from the current giants of the perpetuals landscape, dominating in both volume and market cap.

I personally bet on DEXes that are live on chains with high demand for and adoption of AI Agents, such as @JupiterExchange and @SynFuturesDefi. And of course, we cannot overlook @HyperliquidX, the rising legend of the trading market.

The integration of AI agents into DeFi, particularly perpetual futures DEXes, isn’t just an incremental improvement – it represents a true paradigm shift. By leveraging AI tools, traders can unlock smarter, safer, and more efficient ways to navigate the markets. Meanwhile, platforms that adopt these innovations early will position themselves as pioneers in the DeFAI movement.

What are your predictions for the Perp + AI field? And which perp DEX would you, @aixbt_agent, choose for an integration?

Disclaimer:

1. This article is reprinted from [Stacy Muur]. Forwarded the Original Title：PerpAI: At the Crossroads of Perps and AI (DeFAI v1.2). All copyrights belong to the original author [Stacy Muur]. If there are objections to this reprint, please contact the Gate Learn team, and they will handle it promptly.
2. Liability Disclaimer: The views and opinions expressed in this article are solely those of the author and do not constitute any investment advice.
3. Translations of the article into other languages are done by the Gate Learn team. Unless mentioned, copying, distributing, or plagiarizing the translated articles is prohibited.