Breakeven (no costs)
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Free Tool
Stock Average Calculator
Add every buy lot, price and quantity, and get your weighted average price, total invested, current profit and loss, and your true breakeven. It also shows the number most averaging calculators leave out: as you average down, your average falls, but the capital at risk in a single name rises and the percentage climb back to breakeven gets steeper.
A lower average is a lower number, not a smaller risk. Averaging down only helps when the thesis is intact and the position size is capped; otherwise it is the martingale that ends accounts.
Preset
Your buy lots
Buy price (₹)Quantity (shares)x
Position context
Used for profit and loss and the climb to breakeven. Leave blank to skip.
Default shown. Set your own to check single-name concentration.
Weighted average cost
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Total quantity
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Total invested
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Unrealised P&L
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Breakeven and the climb from here
Breakeven (incl. est. charges)
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Current price
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Move to breakeven
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The averaging-down trade-off, made visible
Average price: first lot vs blended
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Capital in this name: first lot vs total
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Average price falls, capital at risk rises
Drawn to your lots. The green line is the running weighted average after each lot; the coral bars are the cumulative capital committed to this single name.
Lot by lot: how the average builds
| Lot | Price | Qty | Running avg | Cumulative ₹ |
|---|
Round-trip cost and breakeven (delivery)
| Component | ₹ |
|---|---|
| Breakeven, no costs | — |
| Breakeven, incl. costs | — |
Indicative, on representative published delivery rates as of July 2026. STT 0.1% both sides, stamp 0.015% buy, a flat depository charge on the sell, 18% GST on the fee lines only. Verify with your broker.
Flags to review before you add to this position
The arithmetic here is trivial. The decision it sits inside is not: whether to add to a losing position is one of the hardest judgements in trading, and the honest answer is usually no. Sizing the full position before the first buy, defining where the idea is wrong, and adding only inside a hard cap is what the method we teach is built to make automatic.
The one principle
Averaging down does two things at once, and traders see only the first. It lowers your weighted average price, which feels like progress. It also raises the capital and the concentration you carry in a single name that is already falling, which is the actual risk. A lower average is a bookkeeping number; the added rupees are real exposure. Averaging down is rational only under two conditions held together: the reason you bought is still true independent of the loss, and the finished position is pre-sized to risk a small, fixed fraction of the account. Without both, adding to a loser is the martingale, a bigger bet after a loss, and the martingale ends accounts.
The SEBI FY25 finding that over 91 percent of individual derivatives traders were net loss-making, with aggregate net losses near 1,05,603 crore rupees, is partly a story about averaging into losers. It is the most natural mistake in the market: the position is down, the average is a number you can move, and moving it feels like doing something. What you are usually doing is converting a small, survivable loss into a large, concentrated one.
The math, derived
Everything on this page comes from one identity. Your average is the total rupees you put in divided by the total shares you hold. It is a capital-weighted number, not an average of prices, and the weight is the quantity in each lot:
total invested = Σ ( pricei × qtyi )
total quantity = Σ qtyi
weighted average = total invested ÷ total quantity
breakeven (no costs) = weighted average
move to breakeven = ( average ÷ current price ) − 1
costs add a little: breakeven rises until the sell nets back the full outlay
total quantity = Σ qtyi
weighted average = total invested ÷ total quantity
breakeven (no costs) = weighted average
move to breakeven = ( average ÷ current price ) − 1
costs add a little: breakeven rises until the sell nets back the full outlay
Worked on the default lots: 100 shares at 200 is 20,000, and 100 shares at 100 is 10,000, for 30,000 across 200 shares. The average is 30,000 divided by 200, which is 150, and that is also the pre-cost breakeven. With the price at 100, the move to breakeven is 150 divided by 100 minus 1, which is 0.50, a 50 percent rise required just to get back to flat. The average dropped from 200 to 150, a 25 percent fall in the average, yet the climb the market must make from the current 100 is twice that, because a percentage move off a smaller base is worth fewer rupees.
Why the percentage climb grows as you average lower. Buying more at a lower price pulls the average toward that price in rupees, so the rupee gap between price and average shrinks. But the current price you measure the climb from shrinks too, and it shrinks faster. The result is the counterintuitive core of this whole page: the further a name falls and the more you average into it, the lower your average and the larger the percentage recovery you need. Lower average, steeper climb.
The scissors: average down, capital up
Reference: how the average and the climb move as you add lower
Start with one lot of 100 shares at 200, a 20,000 position. Now add a second 100-share lot at successively lower prices. The average falls every time, exactly as advertised. But read the last column: the percentage the market must rise from the second-lot price to reach your new breakeven grows as you buy lower, from about 6 percent to 50 percent. The cheaper you average, the steeper the climb back.
| Second lot price | New weighted average | Total invested | Climb to breakeven |
|---|---|---|---|
| 180 | 190 | ₹38,000 | +5.6% |
| 160 | 180 | ₹36,000 | +12.5% |
| 140 | 170 | ₹34,000 | +21.4% |
| 120 | 160 | ₹32,000 | +33.3% |
| 100 | 150 | ₹30,000 | +50.0% |
The capital doubled in every row. Total invested is above 20,000 in each case, roughly double the original single lot, because you bought a second full lot. In this name, alone, you now carry twice the exposure you started with, into a price that has fallen. The average went down; the risk went up. That is the trade you are actually making when you average down, whether or not you meant to make it.
Lower average is not lower risk
Reference: average down versus add on strength
The same act, buying a second lot, means opposite things depending on which way the price has gone. Averaging down adds into weakness and needs the fall to be noise. Adding on strength, a pyramid, adds into confirmation and keeps you in profit on the blended position. Neither is free, but only one is buying more of something the market is currently rejecting.
| Action | Second lot | New average | Position vs last price | What it assumes |
|---|---|---|---|---|
| Average down | 100 at 160 | 180 | underwater (avg 180 above 160) | the 20% fall is noise, not signal; thesis intact |
| Average down, deeper | 100 at 100 | 150 | underwater (avg 150 above 100) | a bigger fall is still noise; conviction unchanged |
| Add on strength | 100 at 240 | 220 | in profit (avg 220 below 240) | the 20% rise confirms the idea; trail a stop |
The tell. Ask one question before a second buy: would you open this position today, fresh, with no existing holding, at this price? If yes, and it fits your size cap, the add is a real decision. If the only reason the purchase appeals is that you already own it higher, you are not adding to a winner or scaling a plan, you are defending a number.
The martingale ladder: where averaging down ends accounts
The dangerous version of averaging down is not equal-sized adds, it is a larger add each time, to pull the average down faster. That is a martingale: a bigger bet after every loss. It works until the one adverse run that a falling stock reliably provides, and then the compounded position is a size the account cannot survive. The table doubles the lot each step; watch the cumulative capital and the share of a 5,00,000 account.
| Lot | Price | Qty | Lot cost | Cumulative capital | Avg | Share of account |
|---|---|---|---|---|---|---|
| 1 | 200 | 50 | ₹10,000 | ₹10,000 | 200.00 | 2.0% |
| 2 | 160 | 100 | ₹16,000 | ₹26,000 | 173.33 | 5.2% |
| 3 | 120 | 200 | ₹24,000 | ₹50,000 | 142.86 | 10.0% |
| 4 | 80 | 400 | ₹32,000 | ₹82,000 | 109.33 | 16.4% |
| 5 | 40 | 800 | ₹32,000 | ₹1,14,000 | 73.55 | 22.8% |
Failure modes: where averaging down destroys accounts
The average is a clean number. The position it describes fails in five recurring ways, and each one has turned a manageable loss into a portfolio event.
1. No stop, no cap. Averaging down without a predefined exit or a hard limit on total size has no floor. Every new low invites another add, the position grows without bound relative to the account, and there is no price at which the plan says stop. A stop and a size cap are what separate a scale-in from a slow-motion blow-up.
2. Martingale sizing. Adding a larger lot each time, to bring the average down faster, is the bet-doubling that guarantees ruin over a long enough adverse run. A falling name supplies that run. Equal or decreasing adds inside a cap can be disciplined; increasing adds with no cap is the pattern in the ladder above.
3. Sunk-cost bias. The money already in the position is gone from the decision; only the money you would commit now matters. Averaging to rescue an average, or to avoid booking a loss, is the sunk-cost fallacy priced in rupees. The market does not know or care what you paid, and your average has no gravitational pull on the price.
4. Concentration. Each add raises this name's share of the account. Diversification is a promise you keep at the moment of sizing, not a label; averaging down quietly breaks it, converting a small position into a dominant one exactly when the name is behaving worst. A single-name weight that would alarm you as an opening trade is no safer because you arrived at it gradually.
5. A structurally broken name. Averaging assumes the fall is noise around an intact thesis. When the business, the balance sheet or the earnings power has genuinely deteriorated, the fall is information, and buying more is buying a larger stake in the deterioration. The hardest discipline is telling a temporary drawdown from a permanent impairment, and averaging down removes the incentive to ask.
The risk-of-ruin lens
Averaging down is dangerous for the same reason oversized positions are: it detaches the size of a bet from the size of the account. Fixed-fractional sizing does the opposite. It fixes what you can lose on the whole position, decided before the first buy, so that a scale-in is a plan and not a reaction. The companion position sizing calculator sets that per-trade budget from your stop distance, and the risk of ruin calculator shows how quickly concentration and oversizing move the probability of a terminal drawdown from negligible to near-certain. Averaging down without a cap is a direct route up that curve.
If a position has already fallen far enough that you are tempted to average, it is worth doing the recovery arithmetic honestly. A position down 50 percent needs a 100 percent gain to recover; the drawdown recovery calculator makes that asymmetry concrete. The point of every one of these tools is the same: the number that decides whether you survive is the size of the position relative to the account, and averaging down is the most common way that number gets away from people.
Common Questions
Frequently Asked Questions
How do you calculate the weighted average price of a stock?
+The weighted average price is the total rupees you invested divided by the total number of shares, not the simple average of the prices you paid. Multiply each lot's price by its quantity, add those products to get the total invested, then divide by the total shares. If you buy 100 shares at 200 and 300 shares at 100, you invested 20,000 plus 30,000, which is 50,000, across 400 shares, so the average is 125, not the 150 a simple average of the two prices would suggest. The larger, cheaper lot pulls the average down toward its price. Quantity is the weight, and it is exactly what most mental math gets wrong.
What is averaging down and does it lower my risk?
+Averaging down means buying more shares of a position that has fallen below your entry, which lowers your weighted average price. It lowers the average, but it does not lower your risk, it raises it. You now hold more shares and more rupees in a single name that is already moving against you, so the amount you lose if it keeps falling is larger, not smaller. Lowering the average is a change to a bookkeeping number; adding capital to a loser is a change to your actual exposure. The two are constantly confused because a lower average feels like progress, while the position quietly becomes a bigger share of the account.
How do I calculate my breakeven price after averaging?
+Your breakeven price is your weighted average price, the level at which the position is worth exactly what you paid, before costs. After averaging, recompute the average as total invested divided by total shares, and that number is where you break even. Buy 100 at 200 and 100 at 100 and your average, and therefore your breakeven, is 150. Costs push the true breakeven slightly higher: securities transaction tax, the exchange charge, stamp duty, the SEBI fee, the flat depository charge on a delivery sell and 18 percent GST on the fee lines all have to be earned back before the position is genuinely flat. On a delivery position those costs are usually a fraction of one percent, so the breakeven sits a little above the average, and this tool shows both.
Does a lower average price mean I am closer to profit?
+No, and this is the most expensive misconception in averaging down. Buying more at a lower price lowers your average, but the level you must reach to profit is still that average, and the market has to travel there from wherever it is now. If a stock falls from 200 to 100 and you average to 150, you are not closer to profit in the way it feels: you now need a 50 percent rise from 100 just to reach your new breakeven at 150. The average fell by 25 percent, from 200 to 150, but the climb the price must make from here is 50 percent. A lower average shortens the distance in rupees and can lengthen it in percentage terms, because a percentage move off a lower base is worth fewer rupees. The climb from the current price, not the level of the average, is what actually pays you.
What percent does the price need to rise for me to break even after averaging down?
+It is the gap between the current price and your weighted average, expressed as a percentage of the current price: breakeven move equals average divided by current price, minus one. If your average is 150 and the price is 100, you need 150 divided by 100 minus 1, which is 50 percent, to break even. This number grows the further the price has fallen relative to your average, which is exactly the situation averaging down puts you in. It is why a position can show a lower average after every purchase and still require a larger and larger percentage recovery: the average is closer to the price in rupees, but the base you are rising from is smaller. This tool computes the move for you, with and without the round-trip costs added.
Is averaging down the same as the martingale strategy?
+They share the same dangerous core. A martingale increases the size of the bet after a loss so that a single win recovers everything, and averaging down with a larger lot each time you fall is the same reflex applied to a position: a bigger commitment at a lower price to bring the average down faster. The mathematics that makes the martingale fail applies here too. Each larger add raises the total capital at risk in one name, so the loss if you are wrong compounds while the account that has to absorb it does not. A martingale only needs one long adverse run to reach an amount you cannot fund, and a falling stock supplies exactly that run. Disciplined averaging uses equal or smaller adds inside a fixed total-size cap; martingale averaging uses larger and larger adds with no cap, and it is the pattern that ends accounts.
Should I average down on every position that falls?
+No. Averaging down is only defensible when three things are true at once: the reason you bought is still intact and you can state it without reference to the loss, the position has a predefined total-size cap that the average-down purchases stay inside, and the name is liquid enough to exit if the thesis breaks. If the only reason to buy more is that the price is lower and you want your average nearer to it, that is not a thesis, it is a sunk-cost reflex. Most falling positions do not meet the three conditions, and on a structurally broken name, one whose earnings, balance sheet or business has genuinely deteriorated, averaging down is buying more of the thing that is destroying your capital. The default should be a stop, not an add.
Do brokerage and taxes change my breakeven price?
+Yes, they raise it, though on a delivery position the effect is small. To break even you must recover not only what you paid for the shares but also the round-trip charges. On equity delivery in the Indian market as of July 2026 that means securities transaction tax at 0.1 percent on both the buy and the sell, a small exchange transaction charge, the SEBI turnover fee of 10 rupees per crore, stamp duty of 0.015 percent on the buy, a flat depository charge of roughly 20 rupees per company on the delivery sell, and 18 percent GST on the fee lines but not on the taxes. Together these usually add a fraction of one percent to the breakeven, so an average of 150 might truly break even nearer 150.5. The costs matter most on small positions where the flat depository charge is a larger share of the trade, and they are modelled here on representative published rates, so verify the current figures with your broker.
When does averaging down make sense, and when is it a mistake?
+It makes sense as a planned scale-in: you decided before entering that you would build the position in tranches across a price range, you sized the full position so that even the completed position risks a small, fixed fraction of the account, and the thesis is measured against the chart or the fundamentals, not against your average. It is a mistake when it is a reaction: the plan was one entry, the price fell, and you are adding to feel better about the loss or to rescue a number. The test is whether you would put the same money into the same name today as a fresh position with no existing holding. If yes, and it fits your size cap, the add is rational. If the only thing making the purchase attractive is that you already own it lower, you are averaging your way toward the SEBI FY25 base rate, in which over 91 percent of individual derivatives traders finished net loss-making.
Where the facts come from
Sources
- Weighted average and breakeven. Both are arithmetic identities, not estimates. The weighted average cost is total rupees invested divided by total quantity, and it equals the pre-cost breakeven price. The percentage move to breakeven is the average divided by the current price, minus one. Every figure this tool prints is computed from the lots you enter.
- Delivery charges and STT. NSE first-time-investor reference on securities transaction tax, the exchange transaction charge, the SEBI turnover fee, stamp duty and the depository participant charge. Equity delivery STT is 0.1 percent on both the buy and the sell; stamp duty 0.015 percent on the buy; a flat depository charge applies on a delivery sell; 18 percent GST applies to the fee lines only, never to STT or stamp duty. Cost figures modelled on representative published broker rates as of July 2026. nseindia.com
- The FY25 loss base rate. SEBI study on the profit and loss of individual traders in the equity derivatives segment: over 91 percent net loss-making in FY25, with aggregate net losses of about 1,05,603 crore rupees, up roughly 41 percent from FY24. sebi.gov.in
Educational note. This tool computes figures from your own inputs; every output is illustrative and depends entirely on the numbers you enter. The scenario and martingale tables are illustrative models, not predictions of any account's results. Nothing here is a recommendation to average down, to buy or sell any security, or to hold a losing position, and it is not investment or tax advice. Averaging into a losing position is a decision with real risks, presented here so you can see them plainly before you make it. Bharath Shiksha is an educational publisher, not a SEBI-registered investment adviser or research analyst.