Valeon

Start typing — titles, tags, and the full text of every post.

Flowchart depicting financial concepts with arrows connecting symbols for Bitcoin (BTC), US Dollar (USD), and Tether (USDT) using a blue and gray color scheme.

Read the Spec Sheet: Inverse, Linear and What a Contract Is Actually Worth

SFSayed Hamid Fatimi
12 min read
Listen to this post0:00 / --:--

Today we're going to discuss something that might seem a little irrelevant, but it's necessary. Let me preface it with what this won't be. This won't teach you how to trade; there are plenty of guides on the internet for that, and I have an entire series on identifying trade setups currently in the works. This one sits on the more technical side. It's about the mechanical implications of the instruments you trade, specifically derivatives, and more specifically the contract specs underneath them.

Knowing when to trade inverse versus linear contracts is something I've talked about often on Twitter, and if you go back through my tweet history you'll find plenty of references to it, most of them ambiguous enough to be useless to anyone who wasn't already inside my head. So this is me laying it out properly.

Why does it matter? Because two positions with the same direction, the same leverage and the same entry can finish the same month a full hundred percentage points apart, and the only thing separating them is a line on a spec sheet most people never read.

It cuts the other way too. I've watched people put on 20x and above with millions of dollars behind it, and on an inverse contract they're carrying a turn more than the number they set. Know the spec, and you can take the same profit with one less turn of leverage on the slider and a smaller position on the book. Miss it, and you're running a turn more than you meant to. Showing all of that takes some numbers.

Two Ways to Be Long

Let's assume your hypothesis for a trending market is bullish. To extract a profit from it, assuming you're right, you need a vested interest in the underlying asset: some exposure, either spot or derivatives. I don't think it needs mentioning why one would reach for derivatives over spot. Leverage multiplies potential PnL, and that is the whole attraction (along with the whole danger).

With derivatives there are two ways to go long. Linear contracts are margined and settled in dollars, which on crypto exchanges almost always means a stablecoin, USDT or USDC. Inverse contracts are margined and settled in the underlying asset itself, BTC in our case, even though the contract is still priced in dollars. Most large venues list both side by side. On Bybit, for instance, the linear BTCUSDT perp sits next to the inverse BTCUSD perp, where you post bitcoin as margin and your profit and loss is paid in bitcoin. For ease of the argument we'll focus on BTC perps.

The ground rules for every example that follows. BTC is at $50,000. Your thesis is that it doubles in a short period of time, say a month, which is not uncommon for crypto markets (or even most tradfi markets nowadays, with how they've been moving). You have exactly enough capital to buy a single bitcoin, so $50,000, or the bitcoin itself when we trade inverse. Fills are perfect, with no slippage, no trading fees and no funding. None of that is realistic, and none of it changes the shape of what follows.

The Bull Case, Three Ways

A spot long at the beginning of the month lands you 1 BTC. The month passes, your thesis proves correct, the price doubles, and you sell. Net PnL is 100%, or $50,000 nominal.

Now go back in time and place the same trade with linear contracts at 3x. Your $50,000 of USDT now controls $150,000 of bitcoin, the equivalent of 3 BTC. Same conditions, same doubling, and your net PnL becomes 300%, or $150,000 nominal. Your risk has climbed dramatically too (dramatic for the conservative investor, anyway; 3x is not exactly the high end of what crypto venues will hand you). A drop to roughly $33,333 wipes the position out.

Play it one more time with inverse contracts. This time the collateral and the settlement is the underlying asset. You post your 1 BTC, take 3x again to keep it apples to apples with linear, and long $150,000 of notional at $50,000. Price closes at $100,000.

The tempting answer is that a 3x long on a doubling pays 3 BTC. It pays 1.5. Inverse PnL is calculated against the reciprocal of price. You take the notional and multiply it by one over the entry price, minus one over the exit price. Here that's $150,000, times one over fifty thousand minus one over a hundred thousand, which comes to 1.5 BTC, worth $150,000 at the close. Put another way, a dollar was worth one fifty-thousandth of a coin when you opened and one hundred-thousandth when you closed, so measured in coins the move was 50% rather than 100%, and 3x on a 50% move is 1.5 BTC. That is exactly what the linear trader made, because in dollar terms the contract itself pays the same as its linear cousin.

The difference is everything sitting underneath it. Your collateral was a bitcoin, and that bitcoin doubled as well. You finish holding 2.5 BTC, worth $250,000, against a starting $50,000. That's a 400% return in dollars, a full hundred points clear of linear, and 150% measured in bitcoin. The extra hundred points is your collateral riding along as an unlevered spot position, which means an inverse long at 3x behaves, in dollar terms, like a linear long at 4x. The leverage number on the screen understates your real exposure by a turn.

It also means the risk is higher than linear rather than roughly the same. When price falls, the inverse long loses twice, once on the position and again on the collateral backing it. The 3x linear long survives down to about $33,333; the 3x inverse long is gone at $37,500.

Same Profit, Less Leverage

Say all you want is the linear trader's 300%. On inverse you don't need 3x to get it. A 2x inverse long, $100,000 of notional on your 1 BTC, pays 1 BTC on the doubling, and with the collateral coin you finish holding 2 BTC, worth $200,000. That's the same 300%, from a smaller position and a lower number on the slider.

I want to be precise about what that buys you, because it's easy to oversell. The liquidation price is identical. The 2x inverse long dies at $33,333, exactly where the 3x linear long does, because once the collateral is counted the two positions carry the same total exposure. What you save is everything charged on notional. Trading fees and funding are both paid on the size of the position, so a third less notional is a third less of both. On most venues maintenance margin also steps up as a position gets larger, so a smaller book sits in a cheaper tier. At $100,000 that's a rounding error. On a seven-figure position held for weeks it isn't.

The bigger risk sits with the trader who doesn't know any of this. Someone who wants 20x their stack in exposure and sets 20x on an inverse contract is actually carrying 21x, and their liquidation sits closer than they think by a margin they never priced in. Knowing the spec is how you set 19x and get the 20x you were after.

Inverse at 1x, against Spot

Here's the case I think gets overlooked. Take the same bitcoin, post it as collateral, and long $50,000 of inverse contracts at 1x. On the doubling the contract pays 0.5 BTC, that same 50% coin-terms move applied to $50,000 of notional, so you finish holding 1.5 BTC worth $150,000. The spot holder finished with $100,000. A 1x inverse long is, in dollar terms, a 2x long.

In payoff terms it's identical to a 2x linear long, so why bother? Because of what you start with. If your stack is already bitcoin (and for a lot of people in this market it is), the inverse contract adds a full turn of exposure without you selling a single coin to raise dollars, and every gain lands back in the asset you were accumulating anyway. You keep score in BTC and you get paid in BTC. Spot can't do that for you; a doubling on spot leaves a holder with exactly the 1 BTC they started with.

The catch is the one spot never has. Spot can't be liquidated. A 1x inverse long can, and it happens at a 50% drawdown, around $25,000 here, which in this market is a bad quarter rather than an apocalypse. Bitcoin fell roughly three quarters from its November 2021 high through 2022. Hold the position through a long trend and funding becomes a real cost too, since longs usually pay shorts when the market leans bullish. So "1x" on an inverse long is a label, and the exposure behind it is double what it sounds like.

Laid side by side, the four bull-case positions look like this. On spot, $50,000 becomes $100,000, a 100% return, and nothing can liquidate you. On linear at 3x it becomes $200,000, 300%, with liquidation at roughly $33,333. On inverse at 1x, your 1 BTC becomes 1.5 BTC, worth $150,000, 200%, with liquidation around $25,000. And on inverse at 3x, your 1 BTC becomes 2.5 BTC, worth $250,000, 400%, with liquidation at $37,500.

Liquidation prices ignore maintenance margin, fees and funding, so real ones sit a little closer to entry.

The Bear Case Belongs on Linear

Flip the thesis. You expect BTC to halve over the same month, $50,000 to $25,000, under the same ground rules.

A 3x linear short on $50,000 of USDT holds $150,000 of short exposure and makes $75,000 on the halving. That's 150% in dollars, paid in dollars, which are the one thing in this trade you expected to hold their value.

The same 3x short on inverse pays 3 BTC on 1 BTC of margin, which reads like a monster trade until you price it. Those 3 BTC are worth $75,000 at the close, exactly what linear made, and your original collateral coin lost $25,000 on the way down. You finish with 4 BTC worth $100,000, a 100% return against linear's 150%. You've been paid in the asset your own thesis said was collapsing, and in dollar terms the 3x inverse short behaved like a 2x short. The leverage on the screen overstates your exposure by a turn, the mirror image of the long.

So if your thesis is bearish and you keep score in dollars, play the short on linear. Your winnings arrive in the currency you actually believe in, and your collateral isn't quietly bleeding while the trade works.

Inverse shorts still earn their place, for two reasons. The first is liquidation. When price rises against an inverse short, the collateral rises with it, which pushes liquidation further out: about $75,000 for the 3x inverse short here, against roughly $66,667 for linear. The second is the 1x inverse short, which is about the cleanest hedge crypto offers. Post 1 BTC, short $50,000 at 1x, and your dollar value is pinned. At $25,000 you hold 2 BTC worth $50,000; at $100,000 you hold 0.5 BTC worth $50,000. It's a synthetic dollar built out of bitcoin, and in theory it can't be liquidated, because the collateral gains exactly what the short loses. For a holder who wants to sit out a drawdown without selling coins, that's the tool (funding aside, which a short in a bearish market will often be paying).

Side by side for the bear case: holding your 1 BTC through the halving leaves you with $25,000, a 50% loss. The linear short at 3x turns $50,000 into $125,000, 150%, and would have been liquidated at roughly $66,667 had price gone the other way. The inverse short at 3x leaves you holding 4 BTC worth $100,000, 100%, with liquidation pushed out to $75,000. And the inverse short at 1x leaves you with 2 BTC worth exactly the $50,000 you started with, no gain and no loss, and in theory no liquidation at all.

Read the Spec Sheet

Everything above comes down to knowing what a contract actually is before you trade it. The same applies before you read anything into data about it, and that half gets ignored even more.

Take CME's bitcoin futures, the front-month contract TradingView lists as BTC1!. One contract is 5 BTC, cash-settled in US dollars, which also makes CME a linear venue, so everything in the bear section applies to it as written. When the volume bar under BTC1! reads 10,000, that's 10,000 contracts, which is 50,000 BTC, which at $100,000 a coin is $5 billion.

Now put that next to the crypto perps, where the same raw number means something wildly different. Binance's COIN-M BTCUSD perp is quoted in contracts worth $100 each, so 10,000 there is $1 million. Bybit's inverse BTCUSD goes smaller still, at $1 per contract, so 10,000 there is $10,000. Same number on the chart, and a 500,000-fold spread in what actually changed hands.

CME itself runs three sizes: the full 5 BTC contract, Micro Bitcoin at 0.1 BTC, and Bitcoin Friday futures at 0.02 BTC. Compare BTC1! volume against a micro or a perp in raw contracts and you're comparing units that don't share a scale. A CME session that prints a fraction of an exchange's contract count can easily be the bigger day in dollars, and if you're reading institutional flow off CME volume, the contract count understates the bitcoin traded by a factor of five before you've even multiplied by price. Open interest is quoted in contracts too, and it carries the same trap.

None of this tells you where price is going; that's what the setups series is for. What it tells you is what you're holding once you've decided, and what the numbers on your screen are really counting. The spec sheet is rarely more than a page, and it's the cheapest page in trading to read.

Related posts

A split composition contrasting chaotic CEX orderbook screens showing quotes and perpetual futures index prices on the left, with a glowing blockchain pipeline on the right flowing into a settlement-anchored index, illustrating the proposed shift from reference-only benchmarks to on-chain execution-based pricing.

The Benchmark Must Bleed

The price governing trillions in crypto derivatives liquidations and settlement is not derived from assets changing hands — it is derived from quotes. This is a proposal to replace the benchmark with one anchored to on-chain settlement, where the only way to move the price is to actually trade.

SFSayed Hamid Fatimi
10 min read
Cover artwork (cover.png) for the article titled Trading Big Bags: "Liquidity, Leverage, and the Architecture of Risk."

Trading Big Bags: Liquidity, Leverage, and the Architecture of Risk

Capital size should dictate strategy. What works for a $1,000 trader becomes reckless at $10M. The recent $17M loss on Hyperliquid shows how fragile structures — high leverage, linear contracts, and concentration — turn conviction into catastrophe. This essay breaks down why efficiency, not ego, defines survivability, and how inverse contracts, venue distribution, and leverage discipline transform outcomes.

SFSayed Hamid Fatimi
11 min read
A colorful digital illustration depicting a robot analyzing data amidst global networks, charts, and automated machinery, conveying themes of technology and artificial intelligence.

Where the Edge Goes

Discover how plutarc bridges the gap between market knowledge and execution by empowering serious traders with customizable strategy components, ensuring they can bypass human limitations and enhance their trading edge.

SFSayed Hamid Fatimi
7 min read