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Calculate your average stock price after multiple purchases, or find out how many shares to buy to reach your target average.
New Average Price
Per share cost
150
₹21,000
Stock averaging is a common strategy used by investors to lower their overall cost of acquiring shares. It involves buying more shares of a stock you already own when its price drops.
If you buy 100 shares at ₹200, and the price drops to ₹100, buying another 100 shares brings your average cost down to ₹150. Now, the stock only needs to rise to ₹150 (not ₹200) for you to break even.
Averaging up means buying more shares as the stock price rises. While this increases your average cost, it is often used when a stock shows strong momentum and positive fundamentals.
Averaging down is only a good strategy if the underlying business is fundamentally strong and the price drop is temporary. Averaging down on a fundamentally weak company is often referred to as "catching a falling knife" and can lead to significant losses.
A Stock Average Calculator helps you find the average price of a stock when you buy it multiple times at different prices. It calculates your total investment, total shares, and the new average cost per share.
Averaging down involves buying more shares of a stock when its price drops. This lowers your overall average cost per share, meaning the stock doesn't need to rise as much for you to break even or become profitable.
The average price is calculated by dividing your Total Investment Amount by the Total Number of Shares you own. Formula: (Purchase 1 Shares × Price 1 + Purchase 2 Shares × Price 2) ÷ Total Shares.
The Target Average feature tells you exactly how many new shares you need to buy at a specific price to bring your overall average cost down (or up) to your desired target price.
Not always. Averaging down is beneficial if the company has strong fundamentals and the price drop is temporary. However, if the company's fundamentals have permanently deteriorated, buying more shares (catching a falling knife) can lead to bigger losses.