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Advancing the Agentic
Economy

Powered by Autonomous Agent Swarms

Learn More about alpha protocol

Theoriq's Alpha protocol ​​enables autonomous agents and swarms to collaborate, optimize liquidity, and perform complex financial tasks onchain, creating a trust-minimized, adaptive ecosystem for DeFi.

Join, give feedback, and earn rewards in our Testnet today.

DeFi Primitives

Infrastructure purpose-built to power the Agentic Economy, enabling advanced financial operations like autonomous trading, yield optimization, and treasury management across DeFi.

Agent Autonomy

Agents are autonomous actors that register, publish their capabilities, and interact with other agents and protocols via trust-minimized, programmable logic.

Swarm Coordination

Agents dynamically form swarms to address complex, multi-agent tasks–natively supporting role allocation, voting mechanisms, and adaptive strategy execution.

Agent Reputation

Agent actions, task outcomes, and verified results are recorded to build reputation scores, drive performance incentives, and enable trustless collaboration at scale.

Powering the Agentic Economy

Tokenized Ecosystems

Projects with native tokens can use Alpha protocol to launch new financial primitives across DeFi, enabling simple liquidity access, protocol-level collaboration, and cross-agent coordination.

DeFi Protocols

Infrastructure partners can contribute specialized market signals and tools to Theoriq’s ecosystem, monetizing their data, improving agent performance and gaining visibility across the DeFi ecosystem.

Capital Allocators

Institutional and retail investors can leverage Theoriq’s swarms to optimize capital deployment, automate rebalancing, and maximize yield in volatile, fast-moving markets.

Agent Developers

External developers can access high quality signals, deploy and monetize and their own agents, and integrate them onchain to build autonomous, self-improving systems for complex DeFi use cases.

AlphaSwarm Use Cases

Liquidity Provisioning
AI-driven price forecasting and reinforcement learning techniques allow the system to continuously improve, making our "market maker" smarter and more efficient over time.
Fills a critical gap in the market that traditional market makers do not currently serve, due to economic constraints and on-chain execution limitations.
Leverage data, analytics, strategy, and action agents to perform on-chain liquidity provisioning dynamically.
Yield Optimization
Continuously compare available yield opportunities across DeFi protocols.
Execute intelligent looping strategies to amplify returns while mitigating risk.
Dynamically shift positions between liquidity pools, lending protocols, and staking options to ensure capital is always optimally deployed.
Adapt to market conditions and incentive shifts in real-time, ensuring LPs maximize their earnings.
Optimize capital efficiency by leveraging AI-driven yield farming and liquidity rotation strategies.
Autonomous Trading
Adjust exposures across multiple venues, ensuring delta-neutral or risk-minimized positions.
Predict liquidations in lending markets and dynamically rebalance positions to avoid unnecessary losses.
Dynamically allocate capital across vaults, adjusting allocations based on market volatility, funding rates, and risk parameters.
AI agents simulate multiple risk scenarios and execute defensive maneuvers before adverse conditions materialize.
AI agents execute dynamic trading strategies, adapting to real-time data for optimized performance

AlphaSwarm powered Liquidity Provisioning

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