Detailed Instructions

Begin by integrating your financial accounts to pull real-time data into your dashboard. This is the foundational step for accurate monitoring.

• Sub-step 1: Link Primary Accounts: Connect your credit cards, personal loans, and mortgage accounts via secure API connections like Plaid or Yodlee. For a custom setup, you might use an API endpoint such as POST /api/v1/accounts/link with your institution's credentials.
• Sub-step 2: Add Manual Entries: For debts not supported by automatic linking (e.g., private loans), manually input the key details: creditor name, current balance, interest rate, and minimum payment. Use a consistent format like Creditor: Bank XYZ, Balance: $15,000, APR: 7.5%.
• Sub-step 3: Verify Data Sync: Check the dashboard's data synchronization status to ensure all balances and transactions are updating correctly. Look for a 'Last Updated' timestamp and reconcile any discrepancies immediately.

Tip: Start with your highest-interest debts first to prioritize data accuracy for the most costly obligations.

Detailed Instructions

Define and customize the critical metrics that will appear on your dashboard's main view to monitor your financial health at a glance.

• Sub-step 1: Set Primary KPIs: Navigate to the 'Widgets' or 'Metrics' section. Add widgets for Total Debt Balance, Average Interest Rate, Debt-to-Income Ratio, and Projected Payoff Date. For example, you might configure a KPI to calculate the average rate using a formula like (SUM(balance * apr) / SUM(balance)).
• Sub-step 2: Establish Alert Thresholds: Proactively manage risk by setting up alerts. Go to 'Alerts' and create rules such as: IF balance > $10,000 THEN send email alert, or IF payment due date is within 3 days THEN send SMS reminder.
• Sub-step 3: Customize the Dashboard Layout: Drag and drop widgets to prioritize the most important KPIs. Group related metrics, like all credit card debts, into a dedicated section for faster analysis.

Tip: Set your Total Debt Balance KPI to refresh daily to track your progress against repayment goals.

Detailed Instructions

Leverage the dashboard's strategy simulator to choose and apply the most effective repayment method for your situation.

• Sub-step 1: Run Simulations: Input your extra monthly payment amount (e.g., $500). The tool will run two calculations: the Debt Snowball method (paying smallest balances first) and the Debt Avalanche method (paying highest interest rates first). Compare the total interest paid and time to debt-free for each.
• Sub-step 2: Activate Your Chosen Plan: Select your preferred strategy in the 'Repayment Plan' module. The dashboard will then automatically prioritize payments in your list. You'll see a visual queue: 1. Credit Card A (APR 24.99%), 2. Personal Loan (APR 10.5%).
• Sub-step 3: Schedule Extra Payments: Use the integrated bill pay or set calendar reminders. Configure a recurring transaction for your extra payment amount to the targeted debt account each month.

Tip: The Avalanche method typically saves the most money on interest, while the Snowball method can provide quicker psychological wins by closing accounts faster.

Detailed Instructions

Regularly use the reporting and analytics features to gain insights, share progress, and make informed adjustments to your plan.

• Sub-step 1: Schedule Monthly Reports: Navigate to 'Reports' and set up an automatic Monthly Debt Summary to be generated and emailed to you on the 5th of each month. This report should include a net debt change graph, interest accrued, and success metrics against your goals.
• Sub-step 2: Analyze Cash Flow Impact: Use the Cash Flow Analysis tool to see how your debt payments affect your monthly disposable income. Filter transactions by category type: debt_payment for the last quarter to assess the trend.
• Sub-step 3: Adjust Forecasts and Goals: Life changes. Update your dashboard assumptions if you get a raise, incur a new debt, or want to accelerate payments. Modify the 'Extra Monthly Payment' field in your plan from $500 to $750 and regenerate the payoff forecast to see the new timeline.

Tip: Share the 'Progress to Goal' report with an accountability partner or financial advisor to stay motivated and on track.

Detailed Instructions

Begin by securely connecting all relevant DeFi wallets (e.g., MetaMask, WalletConnect) to your chosen debt dashboard platform like DeBank, Zapper, or Aave's interface. The dashboard will aggregate data from across protocols such as Aave, Compound, and MakerDAO. Position aggregation is critical for a holistic view of your total collateral, total debt, and overall Health Factor (HF) or Collateral Ratio. Verify that the dashboard correctly pulls data for each vault or lending pool. For custom tracking, you might initialize a script to fetch this data via protocol APIs.

• Sub-step 1: Navigate to the dashboard's 'Connect Wallet' section and authorize connections for all addresses holding positions.
• Sub-step 2: Confirm that every active position (e.g., your ETH-A vault on Maker, your USDC lending pool on Aave V3) is listed with its current collateral and debt balances.
• Sub-step 3: Check the aggregated metrics panel for the calculated overall health metric, ensuring it reflects all imported positions.

Tip: Use a dedicated 'watch-only' address for enhanced security when connecting to dashboards for monitoring purposes.

Detailed Instructions

With all positions visible, conduct a thorough risk assessment. For each position, examine its individual Loan-to-Value (LTV) ratio, liquidation threshold, and the current price of the collateral asset. The dashboard's key function is to highlight positions nearing their liquidation price. Calculate the buffer for each; for instance, if your ETH collateral is at $3,000 and the liquidation price is $2,800, you have a 6.7% buffer. Based on your risk tolerance and market outlook, set target Health Factors. A common strategy is to maintain an HF above 2.0 on Aave or a Collateralization Ratio above 200% on Maker for a safe buffer.

• Sub-step 1: For each listed position, note the current collateral value, debt value, and the resulting health metric.
• Sub-step 2: Identify the position with the lowest health buffer—this is your most vulnerable exposure.
• Sub-step 3: Using dashboard tools or a spreadsheet, define your target HF (e.g., 2.5) and target collateral ratios for each asset pair.

Tip: Factor in asset volatility; stablecoin-collateralized debt may allow for a lower buffer than volatile crypto-collateralized debt.

Detailed Instructions

This is the core rebalancing action. Use the dashboard's integrated transaction features or connect to each protocol's UI directly. Actions include adding collateral, repaying debt, or withdrawing excess collateral. For example, if your aggregated HF is 1.8 and your target is 2.2, you may need to deposit more ETH into your Aave position. Conversely, if a position is over-collateralized, you can withdraw some assets to deploy elsewhere. For precise adjustments, use smart contract interactions. Always account for gas fees and transaction slippage.

• Sub-step 1: For a position below target, initiate a 'Deposit Collateral' transaction. Example: Deposit 2 ETH into your Aave V3 Ethereum market.
• Sub-step 2: To reduce risk, execute a 'Repay Debt' transaction. Example: Repay 500 USDC on your Compound position using the repayBorrow function.
• Sub-step 3: If a position is overly safe, use 'Withdraw Collateral' to free up capital, ensuring you stay above your personal safety threshold.

codeCopy
// Example: Repaying debt on Aave V3 via contract call
const pool = new ethers.Contract(poolAddress, aaveV3ABI, signer);
await pool.repay(USDC_ADDRESS, ethers.utils.parseUnits('500', 6), 2, yourAddress);

Tip: Batch transactions where possible using tools like DeFi Saver to save on gas and reduce execution risk between steps.

Detailed Instructions

After securing your positions, shift focus to capital optimization. Analyze the dashboard's yield analytics to see if you can earn more on idle collateral or refinance debt at a lower cost. This may involve debt recycling or yield farming. For instance, you could move collateral from a lower-yielding protocol to a higher-yielding one, or swap borrowed assets to fund a leveraged yield strategy. Use the dashboard's simulation tools to model the impact of these changes on your overall health factor before executing.

• Sub-step 1: Review the 'Rates' section to compare borrowing APYs across protocols. You might refinance a USDT loan from 5% to 3% by moving it to a different platform.
• Sub-step 2: Explore options for supplying excess collateral to earning venues. For example, stake your withdrawn wETH in a liquidity pool via the dashboard's integrated DeFi aggregator.
• Sub-step 3: Set up automated alerts within the dashboard for key thresholds (e.g., "Alert me if any HF < 2.0") to proactively manage future risk.

codeCopy
// Example: Checking borrowing rates on Compound fork
const market = await Comptroller.methods.markets(cTokenAddress).call();
const borrowRatePerBlock = market.borrowRatePerBlock;
// Convert to APY for comparison

Tip: Always run simulations for complex multi-step optimizations to avoid unintended liquidations from price impact or interest accrual.