portfolio heat meaning

Portfolio heat is the total amount you stand to lose if every open position is stopped out at once — the sum of the risk on all live trades, not the risk on any single one. A trader risking 1% per trade with six positions open is carrying 6% of heat. It is the number that decides how bad a correlated down day can get, and it is the constraint most traders never actually compute.

when correlation between open positions rises toward one, total portfolio risk

Rises with it, because the positions stop behaving like separate bets and start failing in the same session. At a correlation near zero, six one-percent stops arrive staggered over weeks; near one, they arrive together as a single six-percent event. Correlation is dangerous precisely because it is unstable and climbs toward one during sharp falls, when liquidation-driven selling ignores which business is which.

how do I check whether my open positions are really one trade

Write one plain sentence describing what each open position is a bet on, then read the sentences side by side. If several say the same thing — a bet on rates, a bet on the rupee, a bet on the market continuing to trend — you are holding one position several times over. The test needs no correlation maths and catches the shared drivers a sector breakdown misses entirely.

what does a correlation of 0.9 between two stocks mean

A correlation of 0.9 means the two stocks have historically moved in the same direction almost every time, so holding both sits closer to a double-sized position in one name than to two separate bets. Correlation runs from −1 for opposite moves, through 0 for no relationship, to +1 for identical moves. The figure is backward-looking and unstable — pairs reading 0.3 in a calm market often read far higher in a crash.

does adding a NIFTY position to a largecap portfolio add diversification

Less than the position count suggests, because the NIFTY is weighted rather than equal-weighted and financials carry a large share of it. Layering an index exposure onto a portfolio already holding big banks and NBFCs deepens the same theme instead of spreading it. Check what you own by weight rather than by name count — an index is a basket whose contents you are buying again.

When six positions are really one bet

You risk 1% per trade and hold six positions, so you are risking 6% at most. That arithmetic is correct only if the six positions are independent. They are usually not — and on the day it matters, they are not at all.

Think of it like this

Six umbrella shops

You own six shops, spread carefully across six neighbourhoods. All six sell umbrellas. The diversification is geographic, and the risk is meteorological — a dry year closes all six at once.

In the market

Six positions in HDFC Bank, ICICI, Axis, Kotak, SBI and IndusInd feels like six decisions. It is one decision about Indian banks, taken six times, at six times the size.

Where hidden correlation comes from

Type	Looks like	Actually is
Sector	Six different bank stocks	One bet on rates and credit quality
Factor	Six unrelated smallcaps	One bet on smallcap risk appetite
Macro	IT, pharma and an exporter	One bet on the rupee
Input cost	Paints, tyres, aviation	One bet on crude
Setup	Six breakout trades	One bet on a trending regime
Promoter or group	Several group companies	One bet on a single family’s governance

Correlation rises exactly when you need it not to

The cruellest property of correlation is that it is unstable, and it moves against you. In calm markets, sectors diverge and diversification works. In a sharp fall, almost everything correlates toward one — because the selling is driven by liquidation and fear rather than by the merits of individual businesses.

Worked example

What "6% at risk" becomes

Six positions, 1% risk each, ₹20,00,000 capital

Assumed worst caseSix independent stops, each 1%₹1,20,000

If correlation is 0.3Roughly as planned — losses stagger~₹1,20,000

If correlation is 0.9All six gap through their stops in the same sessionClose to a single 6% event

With gapsStops do not hold on a gap, and the gaps happen togetherMore than ₹1,20,000

The plan said 6%. The outcome in a correlated fall is 6% or worse, arriving in a single day rather than spread across weeks — which is a completely different experience psychologically, and the point at which people abandon the system.

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Add positions and watch total exposure grow. This is the number that matters, not the per-trade risk you set.

Managing it

Four practical limits

1
Cap exposure per sector
A hard limit — say two positions or 2% total risk in any one sector. It costs you some good trades in a hot sector and prevents the outcome where one sector decides your year.
2
Cap total open risk
Roughly 5–6% across everything, assuming correlations move toward one. Treat that as the real constraint rather than the per-trade 1%.
3
Count setups, not just stocks
If all your open positions came from the same setup, you have one position sized very large. Diversify across setup types, not only across names.
4
Watch the shared driver
Ask what single event would hurt every open position. If you can name one, that is your real exposure and it should be sized accordingly.

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Index weighting is not equal weighting. A few names carry the index, and owning the index means owning them.

◆ Your call

A very good week

Your breakout scanner fires on eight names. Six are smallcap industrials, all in a strong sector, all with clean setups. Your rule is 1% risk each.

Check yourself

You hold six stocks across six different sectors, all entered on the same breakout setup. How diversified are you?

Simple bhasha mein

Chhe dukaanein, sab chhata bechti hain

Aapne 6 alag-alag mohallon mein dukaan kholi — lagta hai risk baat diya. Par sab chhata bechti hain. Jis saal baarish nahi hui, chhe ki chhe band. 6 bank stock rakhna bilkul yahi hai: dikhta 6 faisla hai, hai ek hi faisla, chhe guna size mein.

What to remember

Per-trade risk only adds up correctly when positions are independent.
Hidden correlation comes from sector, factor, macro driver, input cost, setup type and promoter group.
Correlations rise toward one precisely during sharp falls.
Cap sector exposure and total open risk, and diversify across setups rather than only across names.
Write what each position is a bet on — repeated sentences mean one position, not several.

You reached the endMark it done and keep your streak going.

Up nextWhat bonds, the rupee and crude tell the equity chart Previous: Risk of ruin: the arithmetic that decides if you survive

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Common questions

Short, direct answers to what people ask about this topic.

portfolio heat meaning: Portfolio heat is the total amount you stand to lose if every open position is stopped out at once — the sum of the risk on all live trades, not the risk on any single one. A trader risking 1% per trade with six positions open is carrying 6% of heat. It is the number that decides how bad a correlated down day can get, and it is the constraint most traders never actually compute.
when correlation between open positions rises toward one, total portfolio risk: Rises with it, because the positions stop behaving like separate bets and start failing in the same session. At a correlation near zero, six one-percent stops arrive staggered over weeks; near one, they arrive together as a single six-percent event. Correlation is dangerous precisely because it is unstable and climbs toward one during sharp falls, when liquidation-driven selling ignores which business is which.
how do I check whether my open positions are really one trade: Write one plain sentence describing what each open position is a bet on, then read the sentences side by side. If several say the same thing — a bet on rates, a bet on the rupee, a bet on the market continuing to trend — you are holding one position several times over. The test needs no correlation maths and catches the shared drivers a sector breakdown misses entirely.
what does a correlation of 0.9 between two stocks mean: A correlation of 0.9 means the two stocks have historically moved in the same direction almost every time, so holding both sits closer to a double-sized position in one name than to two separate bets. Correlation runs from −1 for opposite moves, through 0 for no relationship, to +1 for identical moves. The figure is backward-looking and unstable — pairs reading 0.3 in a calm market often read far higher in a crash.
does adding a NIFTY position to a largecap portfolio add diversification: Less than the position count suggests, because the NIFTY is weighted rather than equal-weighted and financials carry a large share of it. Layering an index exposure onto a portfolio already holding big banks and NBFCs deepens the same theme instead of spreading it. Check what you own by weight rather than by name count — an index is a basket whose contents you are buying again.