What is the Martingale strategy in investing?

Martingale doubles position size after losses, assuming a rebound will recover everything. In stocks, prices can trend to zero, unlike a casino with bounded outcomes.

Why is averaging down dangerous?

Each level doubles capital at risk. After several averages you may need a large rally from a falling stock just to break even, while total exposure has grown multiples of your original bet.

What is risk of ruin?

The probability that a strategy exhausts capital before recovery. For averaging down, ruin rises when the stock keeps falling through every trigger level.

Martingale Risk of Ruin — The Averaging-Down Trap

Calculators

⚠

The "it'll bounce back" trap

Martingale is a betting strategy where you double your bet after every loss, assuming you'll eventually win and recover. Applied to stocks, it means buying more of a falling stock - each time at a lower price, with double the capital. The maths looks appealing. The reality is catastrophic when the stock keeps falling.

Stock entry price (₹)

Initial investment (₹)

Avg-down trigger: every −20%

−5%−40%

Averaging levels: 5

2 levels8 levels

₹11.40 L

Total capital needed

6 buys, all-in

−100.0%

Stock falls from your buy

before your last avg-down

+904712.7%

Rally needed to break even

from the final avg-down price

0.6%

Estimated ruin probability

stock keeps falling through all levels

Price path vs. average cost

Capital committed at each level (doubles every time)

Level 0−0.0%

₹1.00 L

Level 1−20.0%

₹2.60 L

Level 2−40.0%

₹5.00 L

Level 3−60.0%

₹8.20 L

Level 4−80.0%

₹11.40 L

Level 5−100.0%

₹11.40 L

Level 5 alone requires ₹64 - that's 0× your original bet.

Once cumulative fall from your entry passes 100%, the share is worth ₹0 in theory. We floor the model at ₹0.01 so numbers stay positive - in practice there is nothing left to average into.

Level	Stock price	Drop from buy	Units bought	Capital this buy	Total capital in	Avg cost	Break-even rally needed
Entry	₹500.00	-	200	₹1.00 L	₹1.00 L	₹500.00	+0.0%
Avg 1	₹400.00	−20.0%	400	₹1.60 L	₹2.60 L	₹433.33	+8.3%
Avg 2	₹300.00	−40.0%	800	₹2.40 L	₹5.00 L	₹357.14	+19.0%
Avg 3	₹200.00	−60.0%	1,600	₹3.20 L	₹8.20 L	₹273.33	+36.7%
Avg 4	₹100.00	−80.0%	3,200	₹3.20 L	₹11.40 L	₹183.87	+83.9%
Avg 5	₹0.01	−100.0%	6,400	₹64	₹11.40 L	₹90.48	+904712.7%

💀If the stock goes to zero after your last average-down

₹11.40 L

Total money lost

11.4×

Multiple of original bet

0.6%

Estimated probability

Real Indian stocks that averaged-down believers lost everything on

📉

Stocks are not mean-reverting

Roulette wheels have memory - red/black always stay 50/50. Individual stocks don't. A stock that has fallen 80% can fall another 90%. The company can go bankrupt. Unlike a casino, the house edge here is called insolvency.

💸

Capital compounds faster against you

At each averaging level, you double your bet. After just 5 levels, you've committed 63× your initial buy - most of which is now underwater. Your break-even point is a massive rally from a stock already in free-fall.

🧠

Loss aversion + sunk cost = ruin loop

The psychological trap is powerful: you've already lost ₹X, so buying more "averages down the cost." But you're not reducing risk - you're increasing total exposure to a thesis that is already failing. Process over emotion.

This tool illustrates the mathematical risk of doubling down on falling stocks. It is for educational purposes only. Individual stocks can and do go to zero - the examples shown are real historical cases from Indian markets.

The averaging-down trap

Loss aversion pushes investors to 'average down'. Martingale maths shows how quickly that becomes a ruin loop on a single failing thesis.

Stocks are not roulette

Individual equities can gap down on fraud, debt, or sector collapse. Recovery is not guaranteed, Indian examples include prolonged 90%+ drawdowns in former large caps.

Illustrative only — not investment advice. Past scenarios do not guarantee future results. Consult a qualified professional before investing.