Leverage, margin, and liquidation

Why this lesson exists

Most retail traders learn what leverage is from a marketing banner: "Trade with up to 100×!" That sentence is the start of a lot of blown accounts.

Leverage is a mechanical tool with a precise definition, a precise cost, and a precise breaking point. By the end of this lesson you will be able to compute your own liquidation price on the back of an envelope, and you'll know exactly why a 10× position is not "10× better" than a 5× one.

This is a lesson about arithmetic, not opinion. The math is short. Get it right and you will outlive most of your peers in the market.

What leverage actually is

Leverage is the ratio between your notional exposure and the margin you've put up.

leverage = notional / margin
notional = position size × entry price

If you open a long of 0.1 BTC at ₹85,00,000, your notional is ₹8,50,000. Put up ₹85,000 of margin and you're at 10× leverage. Put up ₹1,70,000 and you're at 5×.

That's it. There is no other definition. Leverage is not a multiplier on your P&L. It is not a multiplier on your skill. It is the ratio between how much price exposure you have and how much money you've staked against it.

The exposure is what makes you money. The margin is what runs out when the trade goes wrong.

The trade-off in one sentence

A smaller margin requirement means a closer liquidation price. That is the entire trade-off.

You can choose to control ₹8,50,000 of BTC with ₹85,000 instead of ₹1,70,000. The platform will let you. But the price doesn't have to move as far against you before your ₹85,000 is gone — and when it's gone, your position is force-closed.

The platform calls this liquidation. You can also call it "the price at which the exchange takes your margin." Both are accurate.

Deriving the liquidation price

This is worth doing from first principles once, so you never have to memorise the formula.

You're long. Your unrealised loss at any mark price is:

loss = notional × (entry − mark) / entry

You're liquidated when your loss equals your margin:

notional × (entry − liq) / entry = margin

Rearrange:

liq = entry × (1 − margin / notional)
    = entry × (1 − 1/leverage)

For a short, the sign flips because your loss grows as price rises:

liq = entry × (1 + 1/leverage)

These ignore fees, funding, and the small maintenance-margin haircut the platform applies (xtree uses ~0.5%). For envelope math they're close enough.

Worked example: 10× vs 5× on a ₹5,00,000 Standard account

You open a long on BTC perp at ₹85,00,000 — close to where it traded after the March 2024 ATH retest.

10× long, 0.1 BTC (notional ₹8,50,000, margin ₹85,000)

Liquidation: ₹85,00,000 × (1 − 1/10) = ₹76,50,000. A 10% adverse move wipes you out.

5× long, same 0.1 BTC (notional ₹8,50,000, margin ₹1,70,000)

Liquidation: ₹85,00,000 × (1 − 1/5) = ₹68,00,000. A 20% adverse move wipes you out.

Same trade. Same size. Same upside per rupee of price move. Twice the survivable adverse range at 5× compared with 10×.

In August 2024, when BTC fell roughly 23% in 48 hours after the Bank of Japan rate hike, every 5× or higher leveraged long entered above ₹52,00,000 was liquidated. Cross-venue liquidations that weekend totalled around $1.14B. The trade idea wasn't even wrong — BTC recovered within months. The leverage was wrong.

Leverage doesn't make you more money

The most common error in retail crypto is treating leverage as a profit multiplier. It isn't. It's a margin reducer.

If BTC moves ₹1,00,000 and you hold 0.1 BTC, you make ₹10,000 of P&L. The leverage you used does not appear in that calculation. What leverage changed is how much margin you had to put up to be in that position — ₹85,000 at 10×, ₹1,70,000 at 5×, ₹8,50,000 at 1×. The P&L is the same ₹10,000 in all three cases.

What does change is your return on margin: 11.8% at 10× vs 5.9% at 5× vs 1.2% at 1×. That's where the intuition "leverage amplifies returns" comes from. It's true for the percentage. It is not true for the rupees.

The full P&L mechanics are in the next lesson. For now, the line worth memorising:

Leverage doesn't make you 10× more money. It makes you 10× closer to broke.

Cross vs isolated margin (brief)

xtree offers two margin modes. The full treatment is in Cross vs isolated margin, but the one-line version:

• Isolated: the margin you assigned to a position is the maximum it can lose. The rest of your account is fenced off.
• Cross: the position can draw from your free account equity. Its liquidation price moves further out, but a bad position can chew into your other positions' equity.

Isolated is the safer default while you're learning. Cross is for traders who are managing portfolio-level risk and know what they're doing.

Common misunderstanding

"Higher leverage is more risk only if I don't have a stop-loss. With a tight stop, I can use 50× safely."

This is half-true and half-fatal. Yes, a stop-loss limits your loss to where the stop fires. No, that doesn't make 50× safe — because at 50× your liquidation is roughly 2% from entry. Any normal price wobble, any funding-window jitter, any thin-book wick can blow through a 2% buffer before your stop has a chance to fire.

Stops protect you against your trade idea being wrong. Liquidation protects the exchange against you not having enough margin. Confusing the two is how traders get force-closed on trades that would have eventually worked.

Recap

• Leverage = notional / margin. That's the whole definition.
• Long liquidation: entry × (1 − 1/leverage). Short: entry × (1 + 1/leverage).
• Higher leverage = smaller margin requirement = closer liquidation price. Same P&L per rupee of price move.
• xtree Standard accounts terminate at MLL (₹4,85,000 on ₹5L), separately from position-level liquidation.
• "10× more money" is wrong. Leverage scales margin, not rupees.

Next up: P&L mechanics — exactly how realised and unrealised P&L are computed, why leverage doesn't appear in either formula, and how xtree's 5 bps fee fits in.

Test yourself

Next lesson: P&L mechanics — where the money actually comes from — realised vs unrealised, why fees hit on notional, and the misconception that costs retail traders the most rupees.