Tradepal AI features a refined and audit-ready PNL engine powered by globally recognized accounting principles.
Move beyond simple buy-sell math with inventory tracking, cost basis logic, and trade reconciliation.
The PNL section is tuned to inventory tracking, FIFO matching, realized and unrealized profit, and trade reconciliation workflows.
A generated profitability surface shows cost basis, inventory, and reconciliation logic when no screenshot is used.
PNL Workflows
See how each position affects realized and unrealized profit while keeping the accounting trail strong enough for finance review.
Track digital asset inventory through position changes so profitability always reflects what is actually being held.
Anchor profitability to ledger-based accounting so entries remain traceable to each asset movement and adjustment.
Apply FIFO asset matching to connect disposals to the correct lots and preserve transparent cost basis logic.
Separate realized and unrealized profit so operators can understand booked gains versus open exposure.
Maintain accurate cost basis across changing inventory positions so profitability remains defensible during review.
Use trade reconciliation logic to match records, surface mismatches, and improve trust in reported outcomes.
Profitability Outcomes
Give finance teams more reliable reporting, clearer profit visibility, and tighter reconciliation across every recorded trade.
Improves the reliability of performance reporting across transactions
Clarifies how each asset movement affects profitability
Supports finance teams with stronger reconciliation logic