The Health Factor (HF) is a numerical score used by Aave and similar DeFi lending protocols to measure how safe a borrowing position is from liquidation — a single number that summarises the relationship between the value of deposited collateral and the amount borrowed, adjusted for the liquidation thresholds of each asset. HEALTH FACTOR FORMULA Health Factor = (Σ Collateral × Liquidation Threshold) / Total Debt Value Example: You deposit 1 ETH ($3,000) with a liquidation threshold of 82.5%, and borrow $1,500 USDC. HF = ($3,000 × 0.825) / $1,500 = $2,475 / $1,500 = 1.65. INTERPRETING HEALTH FACTOR VALUES HF > 1.0: Position is safe — collateral value exceeds the liquidation threshold. HF = 1.0: Liquidation trigger — the protocol initiates automatic liquidation of your collateral. HF < 1.0: Already being liquidated (in practice the protocol acts exactly at 1.0). HF > 2.0: Comfortable safety buffer. HF > 3.0: Conservative position, significant collateral buffer. WHAT HAPPENS AT LIQUIDATION When HF drops to 1.0, external liquidators (bots and arbitrageurs monitoring Aave) can repay a portion of your debt (up to 50%) and receive your collateral at a discount: Close factor: Up to 50% of debt can be repaid per liquidation. Liquidation bonus: Liquidators receive 5-15% bonus on the collateral they claim (asset-dependent). Result: You lose collateral worth more than your debt repaid, plus the liquidation bonus. Net loss: Typically 5-15% of your position value, plus the debt you still owe. HOW TO MONITOR AND MANAGE HEALTH FACTOR Aave provides real-time HF display in the app. Third-party monitoring: DeFiSaver (defiSaver.com) — automated position management, will add collateral or repay debt automatically if HF falls below your set threshold. Instadapp — similar automation for Maker/Aave positions. Price alerts: Set alerts (via CoinMarketCap app, Blockfolio) when your collateral asset reaches the price at which HF would fall to 1.5 — giving time to react. India context: Automated position protection via DeFiSaver is particularly valuable for Indian users in different time zones from UTC peak trading activity.