Astar Network price

.@arbitrum, @almanak, @AlloraNetwork can build a predictive AI infrastructure for real-time L2 DeFi? Arbitrum offers performance that can achieve sub-second transaction settlements through a block generation speed of around 250 milliseconds, efficient batch processing via Brotli compression, and the upcoming permissionless sequencer BOLD upgrade. Almanak operates a multi-agent Swarm system on this network to execute decentralized automation strategies, while Allora delivers machine learning predictions on-chain in real-time, providing predictive signals for market changes. The three systems complete a self-sustaining and closed trading loop through a structure where real-time data collection, volatility prediction, and portfolio rebalancing circulate within a single block. The main challenge lies not in technical delays but in governance. Specifically, preventing model manipulation, blocking collusion among agents, and balancing risk control at the DAO level with autonomous execution emerge as key issues. Arbitrum's sequencer feed broadcasts all transactions in real-time within 250 milliseconds after transaction submission, and Almanak's agents snapshot this data block by block to assess market conditions. Allora sends predictions for 5 minutes, 8 hours, and 1 day in zk-verified form, allowing agents to compare and analyze them and dynamically adjust strategy weights. The difference between predictions and actual outcomes is reflected back in Allora's staking score, increasing the weight of superior models. This structure provides a faster response time than centralized exchange APIs, while Arbitrum's hard finality of about 13 minutes maintains economic security. Users submit high-level intents like 'maintain delta exposure at 5bp' as signed requests, which Almanak converts into a single transaction bundle. The sequencer sorts these in chronological order and, through the Timeboost feature, reduces block intervals to 100 milliseconds during periods of trading concentration to secure arbitrage competitiveness. After the BOLD upgrade, with multiple sequencers existing in parallel, agents can reduce trading delays while minimizing censorship risks. Allora's trust score can be used as a metric for determining priority when the sequencer's block space is limited. Almanak's ERC-7540-based vault automatically rebalances LP positions on platforms like Camelot and Uniswap v3, allowing conditional operations such as narrowing liquidity ranges or adjusting fee tiers upward in response to Allora's predictive signals during volatility spikes. For example, if ETH-ARB volatility exceeds 12 percent, the LP range can be adjusted to reduce losses, and when the lending spread is low, the GLP position can be moved to Aave v3 to enhance yield. All strategies must demonstrate performance of over 1 sigma based on 30 days to be allowed for on-chain deployment. There are four risk factors at the governance level. First, the risk of model manipulation. There is a possibility that Allora's stakers may intentionally spread false data, and slashing based on on-chain profit-loss deviations and multi-model aggregation serve as countermeasures. Second, sequencer collusion. A single sequencer could manipulate transaction order to target MEV, but the multi-sequencer structure of BOLD mitigates this risk. Third, the issue of excessive authority among agents. Almanak imposes function-level access restrictions through the Safe and Zodiac frameworks and can withdraw modules via DAO voting. Fourth, regulatory uncertainty. Autonomous prediction markets are legally positioned at the boundary between oracle, exchange, and investment advisory, necessitating clear standards. Currently, Arbitrum's daily transaction volume is about 1.2 million, with an average block time of 0.25 seconds and total deposited assets of $3.4 billion, having recorded a maximum of 1,600 transactions per second. This indicates that the network remains stable even after the market correction in October. In the derivatives market, the total open interest is around $110 million, indicating that leverage pressure is not significant, with about $5.69 million in short position liquidation concentrated around the $0.279 range. The automated system maintains a narrow position size until volatility expansion and can confirm trend reversals as open interest increases. In the community, discussions are actively ongoing regarding Arbitrum's growth, expectations for Allora's model governance, and the incentive structure of Almanak. Overall, a positive and pragmatic optimism prevails. In summary, Arbitrum provides ultra-low latency payment infrastructure, Almanak serves as a strategy execution engine, and Allora offers verifiable predictive signals. The combination of the three projects realizes a self-correcting trading system at the millisecond level. While the technical elements are already prepared, establishing governance structures such as model validation systems, sequencer decentralization, and agent authority management is essential for full implementation. If these conditions are met, Arbitrum will position itself as a standard platform for prediction-based autonomous finance, beyond just a high-speed L2.

Last night's $MMT liquidation was brutal...