0/ In today’s Delphi Daily, we examined ETH retesting range heights and the market’s current fear.
In addition, we analyzed @dydxprotocol flipping @coinbase’s total volume and Perp DEX token shining.
For a deeper dive 🧵👇
1/ Market Update-
🔹Macro and regulatory fears continue to linger as most of the market has been in the red today.
🔹Crypto markets dipped on Friday following news that China banned crypto (again), before recovering slightly heading into Monday.
2/ Unless a clear catalyst or shift in market structure takes place, ETH is likely to continue trading within this broad range.
Note that ETH is currently trading near the range high, which means if the market continues ranging, then a swing back to the lows is likely.
3/ Despite a solid bout of mean reversion over the weekend, it appears that markets are still gripped by fear as price action stalls out.
The Fear & Greed index has been hovering around ~25 (a state of fear) for the past few days.
4/ While dYdX continues to dominate the DeFi perps market, it also recently achieved another significant milestone – eclipsing Coinbase’s 24H trading volume.
A big contributor to this is the nature of dYdX’s trade mining rewards structure.
5/ In addition to breaking records for trading volume, the $DYDX token hit a new all time high price of $22.67 earlier today before cooling off.
Perpetual Protocol’s token ($PERP) has also followed closely behind, perhaps benefiting from the same thematic trade.
A valuation analysis of Pump Fun and what to expect from launch.
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This thread only scratches the surface. The full report covers much more including a complete valuation analysis, competitive deep dive, launch dynamics, and more.
1/ Pump has quietly built one of crypto's most profitable businesses, generating $780M+ in cumulative revenue with no token incentives.
Even once you take out January's memecoin craze, Pump is still generating around $1.3M per day on average.
That's more than what most protocols make in their entire existence.
AI has blurred the lines of IP ownership. @StoryProtocol thinks blockchain can fix it.
Meet the first IP blockchain reshaping creativity and royalties for the digital age.
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Our full Story report dives much deeper into use cases, infrastructure, and more. Here is the full breakdown.
1/ Traditional IP systems depend on centralized registries and manual enforcement, too slow to track millions of AI-generated works created daily.
General-purpose blockchains aren't optimized either, lacking native support for complex royalty splits and embedding licensing terms into creative assets.
Hyperliquid just dodged a $13.5M bullet—but it exposed a critical flaw in decentralized trading.
Here's how one trader almost broke the system and how we can stop it from happening again.
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1/ An attacker opened a large short position on JELLY, then artificially pumped its spot price, forcing liquidation.
This pushed an unrealized $13.5M loss onto Hyperliquid’s liquidity pool (HLP), as the oracle price spiked from $0.0095 to ~$0.50 per token.
2/ Hyperliquid intervened by delisting JELLY perps and force-settling positions at the original price of $0.0095, protecting HLP and leaving the attacker at a loss.
But rather than just reacting, what steps can Perp DEXs take to mitigate future risks?
AI agents are evolving from simple assistants to fully autonomous entities.
@ElizaOS is leading this shift by giving agents the ability to manage funds and operate businesses in Web3.
Here’s how ElizaOS v2 is shaping the future of AI-powered economies.
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1/ AI Independence
ElizaOS started as an AI framework focused on Web3 automation. While v1 enabled AI agents to interact with smart contracts and blockchain data, v2 takes a major leap forward.
AI agents have moved on from simple commands—they’re independently managing workflows, businesses, and financial strategies.
2/ Architectural Upgrades
• Modular Core Framework: Developers can customize AI agents without modifying the core to make deployments more scalable.
• Unified Abstraction Layer: AI agents now handle multi-chain assets seamlessly.
• Event-Driven Architecture: AI agents can react to real-time data, making them more efficient in handling DeFi, governance, and logistics.
These improvements give AI more flexibility, planning capabilities, and the ability to execute more complex tasks.