This tool has two modes. Single trade is for “I bought X at Y and sold at Z”. Multiple trades is for “I bought in several chunks and sold in several chunks” with cost basis methods like FIFO, LIFO, or Average Cost.

• 1. Choose a mode: Single trade for one buy and one sell, or Multiple trades to paste many transactions.
• 2. Enter your asset and currency: For example BTC and USD (or ETH and EUR).
• 3. Add fees and slippage: Toggle fee inclusion, set a slippage percent, and include buy/sell fees or per-row fees.
• 4. Optional tax estimate: Enable the tax toggle and set a tax rate to see after-tax profit.
• 5. Export results: Copy JSON or download JSON/CSV for reporting and audit trails.

Fees-aware net profit and break-even price

Fees can flip a “small win” into a loss. This calculator separates gross and net values so you can see what fees do to your trade. When fee inclusion is enabled, the break-even sell price accounts for buy fee, sell fee, and any extra costs.

That break-even number is the price where your net profit becomes zero. It is especially useful for setting realistic limit orders and for checking whether a take-profit target actually pays you after exchange costs.

Conservative slippage modeling

Slippage is the hidden spread between the price you expect and the price you actually get. The single-trade mode applies slippage conservatively: buy price is adjusted upward and sell price downward. This is a quick way to stress-test your plan.

If you trade thin books, volatile pairs, or large size relative to liquidity, a small slippage percentage can be more realistic than assuming perfect fills.

FIFO, LIFO, and Average Cost basis for multiple transactions

In multi-trade mode, you paste transaction lines like buy,2025-01-05,0.10,41000,3. The tool builds buy lots and applies your chosen cost basis to each sell. FIFO uses oldest lots first, LIFO uses newest lots first, and AVG keeps an averaged pool cost.

These methods can yield different realized profit outcomes even when total proceeds are the same. That difference matters for reporting and for understanding how partial sells impact remaining inventory cost.

Export-ready structured output

Every calculation produces a structured JSON payload. You can copy it with one click, download it, or export a compact CSV summary. The JSON is useful for internal tools, dashboards, or attaching to support tickets when verifying results.

Because the JSON includes computed fields like effective prices, net proceeds, fees total, and after-tax profit, you can reproduce the numbers later without re-entering everything.

Live preview plus server verification

The interface updates as you type for instant feedback. When you hit “Calculate”, the server re-validates inputs and returns a verified result. This combination keeps the experience fast while still being strict about input correctness and plan limits.

If you paste too many transactions, the tool will warn you about character limits and invalid lines so you can fix issues immediately.

If you trade occasionally or manage frequent entries/exits, you need a fast way to sanity-check P/L without building a spreadsheet each time.

• Spot traders: Estimate whether a planned take-profit still makes sense after fees and slippage.
• DCA investors: Paste multiple buys and see how FIFO vs AVG changes realized profit on partial sells.
• Arbitrage check: Model whether a small price difference survives combined fees on both sides.
• Accounting prep: Create a quick realized P/L summary before exporting to your records.
• Risk management: Compute break-even and compare it to your stop-loss to understand downside.
• Portfolio review: Track remaining inventory amount and average unit cost after selling part of a position.
• Tax planning: Toggle tax estimation to understand approximate after-tax outcomes.
• Team communication: Share the JSON output internally so everyone sees the same assumptions and numbers.

Example: You bought 0.25 BTC at 42,000 and plan to sell at 48,500. With fees and 0.10% slippage, your “headline ROI” shrinks. The break-even price helps you set a minimum exit that still pays you.

Another example: You DCA into ETH across three buys, then sell half. FIFO might report a larger realized profit than AVG because it sells the cheapest lots first. Seeing both can explain why your exchange report and your spreadsheet disagree.

Always test with fees enabled

Fees are real cash out of your account. If you trade small size or tight targets, fees may be the difference between profit and loss. Turn on “Include fees” so the net metrics match reality.

Use slippage as a stress test

Even 0.10% slippage can matter when you trade large size or volatile candles. If the trade only works with perfect fills, it might not be a trade worth taking.

Pick the cost basis that matches your reporting

Exchanges and tax jurisdictions can differ on how cost basis is applied. This tool lets you compare FIFO, LIFO, and AVG so you understand the range of outcomes. Use the method that matches your record-keeping policy.

Watch out for “sell more than you bought” warnings

If your sells exceed available buy lots, the calculator will flag it. That can happen if you forgot an earlier buy, used the wrong asset decimals, or are modeling short exposure. Fix the inputs to keep results meaningful.

Fee inclusion toggle

When enabled, buy fees and other costs increase your effective cost basis, and sell fees reduce proceeds. When disabled, you still see fee totals but the profit number is closer to a “market-only” gross P/L.

Tax estimation toggle

The tax estimate is intentionally simple: it applies the tax rate to positive net profit only. It does not attempt to model different tax brackets, deductions, or jurisdiction-specific rules.

Character limits for transactions

Multi-trade input is capped by your plan. If you hit the limit, reduce whitespace, remove comments, or paste only the relevant range. This keeps the tool fast and prevents accidental oversized submissions.

Ignoring fees paid in different units

Some exchanges charge fees in the base asset, quote currency, or a platform token. If your fee is deducted from the asset amount, your “amount sold” can be slightly smaller than you expect. In that case, update the amount to match the net filled amount shown on your fill report.

If you pay fees in a separate token, your trade P/L still changes because that token has value. The simplest approach is to convert the fee to your quote currency and enter it as a fee amount here, so your net profit reflects the true cost.

Mixing spot and derivatives assumptions

This calculator is designed for spot-style accounting where you buy and sell the underlying asset. If you trade perpetuals or futures, funding, leverage, liquidation, and margin fees can dominate P/L. You can still use the single-trade mode as a rough approximation, but treat the numbers as incomplete unless you add all derivative-specific costs.

Forgetting that “realized” is different from “unrealized”

In multi-trade mode, realized profit comes only from sell transactions that close part of your position. Any remaining inventory is unrealized P/L and depends on the current market price. The inventory snapshot helps you see how much position is still open and what its current cost basis is.

Rounding and decimal precision

Crypto assets can have 6–18 decimals. Small rounding differences can accumulate across many rows. If you want the tightest match to an exchange statement, paste amounts exactly as shown and avoid rounding fees. The JSON export preserves the computed values so you can audit differences later.