Risk Mitigations

While Hertzflow is designed to minimize risk for both traders and liquidity providers through robust risk controls, decentralized leveraged trading carries inherent risks. We recommend participating only with funds you are comfortable risking, and keeping a close eye on your positions during periods of heightened market volatility.

Directional Exposure Risk	LPs become unintentionally exposed to price movements when there’s a high open interest (OI) imbalance, especially under volatility.	Dynamic Borrowing Rates: Utilization ratios are monitored in real time, adjusting hourly borrow rates to discourage extreme OI skew. OI Monitoring: Continuous tracking of imbalance metrics to adjust parameters proactively.
Liquidity Risk	Traders may be unable to open/close positions at desired size or LPs may face withdrawal delays during high utilization.	Dynamic Position Limits (DPL): Restricts outsized position openings during extreme market conditions. Auto-Rebalancing: Enforces long-short collateral rebalance to prevent concentration risk and keep liquidity accessible.
Keeper Risk	Losses from inactive, malicious, or underperforming keepers that handle trade execution, liquidations, and price updates.	Automated Smart Contract–Driven Liquidation: Liquidations are executed deterministically on-chain, triggered by protocol-defined conditions without manual intervention or discretionary delays. Decentralized Keeper Network Operation: Multiple independent keeper nodes participate in execution. Each operator is required to post collateralized stake, ensuring economic alignment and accountability. Slashing & Incentive Layer: A slashing framework penalizes inactive or malicious keepers, while rewarding timely and accurate execution. This maintains high-quality service across the network. Redundant Failover Systems: Backup keeper nodes and automated failover mechanisms guarantee continuity of liquidation services, even under high network congestion or node outages
Oracle & Price Deviation Risk	Settlement prices may deviate from order prices due to latency or oracle feed misalignment.	Dual-oracle Validation: Price feeds are cross-verified using both Pyth and Chainlink, with an internal keeper-driven index providing additional redundancy. Deviation Threshold Enforcement: Trades are automatically rejected if submitted prices deviate beyond predefined thresholds relative to validated oracle values, protecting the system from manipulation and stale data. Time Travel Execution: In the event of oracle or network outages, eligible delayed orders may be executed retroactively at historically validated fair prices, ensuring fairness and continuity of execution without penalizing traders for infrastructure downtime.