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Cost Average Calculator

Calculate Dollar Cost Averaging (DCA) for stocks, crypto, or any investment. Fill any 2 fields per purchase to auto-calculate the 3rd.

Purchase #1

Summary

Total Investment

$0

Total Shares

0

Average Cost/Share

$0

Common DCA Examples

How to Use the Cost Average Calculator

What is Dollar Cost Averaging (DCA)?

Dollar Cost Averaging is an investment strategy where you invest a fixed amount of money at regular intervals, regardless of the asset's price. This reduces the impact of volatility by spreading purchases over time, potentially lowering your average cost per share.

How to Calculate DCA

  1. Enter each purchase: For each investment, fill in any 2 of the 3 fields (Investment Amount, Price Per Share, Shares Bought). The calculator automatically computes the 3rd field.
  2. Add multiple purchases: Click "+ Add Purchase" to add more entries. This is typical for monthly, weekly, or recurring investments.
  3. View your summary: The calculator shows Total Investment, Total Shares, and Average Cost Per Share across all purchases.
  4. Try examples: Click any example card to load realistic DCA scenarios for stocks, crypto, or index funds.

Why Use DCA?

  • Reduces timing risk: You don't need to predict market tops or bottoms
  • Emotional discipline: Systematic investing removes emotional decision-making
  • Lower average cost: When prices drop, your fixed investment buys more shares
  • Accessible: Works with any budget - invest $100/month or $10,000/month

Example Calculation

Scenario: You invest $1,000 monthly in a stock over 3 months:

  • • Month 1: $1,000 ÷ $50/share = 20 shares
  • • Month 2: $1,000 ÷ $45/share = 22.22 shares
  • • Month 3: $1,000 ÷ $55/share = 18.18 shares

Result:

  • • Total Investment: $3,000
  • • Total Shares: 60.40 shares
  • • Average Cost: $49.67/share (vs. simple average price of $50)

Privacy & Security

All calculations happen in your browser. Your investment data never leaves your device and is never stored or transmitted. This calculator is safe for analyzing sensitive financial information.