Average entry price is one of the key metrics for any crypto investor. It defines your breakeven point, shows when a position is already profitable, and helps you set realistic exit targets.
Many people calculate this mentally or in rough spreadsheet drafts, and eventually numbers stop matching reality. Let us break down how to calculate average price correctly and how Bithamst helps.
Basic Average Price Formula
The classic average price formula is simple:
Average price = (total cost of all buys) / (total quantity)
Example:
- bought 0.5 BTC at $30,000 → spent $15,000;
- bought another 0.3 BTC at $35,000 → spent $10,500.
Total: 0.8 BTC for $25,500. Average price = 25,500 / 0.8 ≈ $31,875.
What Position Averaging (DCA) Means
When you buy an asset in parts, you either decrease or increase your average price. The DCA (dollar-cost averaging) strategy means regular buys with a fixed amount to reduce dependency on one entry point.
But there are several risks:
- averaging into a weak asset that never recovers;
- portfolio overexposure to one token or sector;
- no clear exit plan.
Typical Spreadsheet Mistakes
The most common manual-calculation issues are:
- missing trades (some buys are not included);
- mixed data from different exchanges or wallets;
- broken formulas after editing the sheet;
- ignoring fees when they matter.
As a result, your spreadsheet shows one average price while the exchange shows another, and you do not know which one to trust.
How Bithamst Solves This
In the Bithamst tracker, you can:
- create a portfolio and add trades for each asset;
- record quantity, price, and trade type (buy/sell);
- track transfers between wallets separately.
The service then calculates average entry price, current return in fiat and percentages, and shows how the position changed over time.