Find your weighted average buy price across multiple trades.
Your Purchases
Add one row per trade. Quantity and the price you paid on that trade.
Total Shares
100
Total Invested
₹17,600.00
Unrealised P&L
-₹3,600.00
Shares To Buy For Target
44
Capital Needed
₹6,160.00
Average Buy Price
₹176.00
A stock average calculator works out your average buy price when you have purchased the same stock in more than one transaction, at different prices. You enter the quantity and price of each purchase, and it returns your weighted average cost per share.
This number matters because it tells you your real breakeven point: the price at which selling your entire holding would result in neither profit nor loss, ignoring brokerage and taxes.
The formula is straightforward weighted averaging:
Or written out for multiple purchases:
Suppose you buy a stock in three lots:
| Purchase | Quantity | Price per share | Amount |
|---|---|---|---|
| 1 | 50 | ₹200 | ₹10,000 |
| 2 | 30 | ₹160 | ₹4,800 |
| 3 | 20 | ₹140 | ₹2,800 |
| Total | 100 | — | ₹17,600 |
Even though your most recent purchase was at ₹140, your average cost is ₹176, not the price of your last trade. This is a common point of confusion for new investors.
The question most investors actually want answered is the reverse one: how many more shares do I need to buy at today’s price to pull my average down to a particular level? That has a clean solution:
The answer only exists when the target sits strictly between the current market price and your existing average. You cannot average down to a level below the price you would be buying at, and there is nothing to solve if your target is already above your average.
Buying more of a stock after its price falls does lower your average cost, and it is a popular strategy to reduce the breakeven price. But it also means you are increasing your exposure to a stock that has fallen, which only makes sense if you still believe in the company’s fundamentals.
Averaging down on a stock that keeps declining for weak reasons, rather than short-term market noise, is a common way investors turn a small loss into a much larger one.
Your average price and your tax cost basis are not always identical. For tax purposes, when you sell shares, Indian tax rules generally use the FIFO (first-in, first-out) method to determine which specific lot was sold and its associated capital gains, not your blended average price.
This means your weighted average is useful for tracking your investment performance, but your actual capital gains tax calculation on a partial sale may differ from what a simple averaging formula would suggest.
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