Leverage is the most misunderstood control in trading, and the misunderstanding is nearly always the same one: people think of it as a way to make more money. It isn't. Leverage is a way to make the same trade matter more — in both directions — while quietly shrinking the amount of bad luck you can survive.
Nothing about leverage improves your odds of being right. If you have no edge, leverage does not create one; it just gets you to the end of your money faster.
Leverage multiplies your exposure relative to the money you actually put up. If you post $1,000 and trade at 10× leverage, you control $10,000 of the asset. A 1% move in the asset is a $100 swing — which is 10% of your $1,000, not 1%.
So the rule is simply:
That symmetry is the whole story. At 10×, a 1% favourable move gains you 10%. A 1% adverse move loses you 10%. Leverage is not a profit multiplier — it is a volatility multiplier, and volatility cuts both ways.
You are liquidated when your losses consume the money you posted. Because an adverse move of X% costs you L × X% of your stake, you run out when L × X = 100%. Rearranged:
| Leverage | Adverse move that wipes you out | Realistic? |
|---|---|---|
| 1× (no leverage) | 100% | Asset must go to zero |
| 2× | 50% | Happens in bad years |
| 5× | 20% | Happens in bad months |
| 10× | 10% | Happens in bad weeks |
| 25× | 4% | Happens on ordinary days |
| 50× | 2% | Happens before lunch |
| 100× | 1% | Happens on noise alone |
In practice you are wiped out slightly before that number, because exchanges liquidate at a maintenance margin threshold rather than waiting for your balance to reach exactly zero, and because fees and funding costs eat into the buffer. Treat 1 / L as the optimistic case.
Abstract percentages are easy to shrug off, so here are peak-to-trough drawdowns measured from the actual daily closing prices used in this site's Mystery mode. The question for each: what is the highest leverage that would have survived it?
| Episode | Peak-to-trough | Max survivable leverage |
|---|---|---|
| NVIDIA, early 2023 AI run | −5.7% | ~17× |
| Zoom, 2020 | −18.9% | ~5× |
| Tesla, 2019–20 rally | −27.2% | ~3.6× |
| Meta, 2022 | −50.8% | ~1.9× |
| Apple, 2008 crisis | −53.2% | ~1.8× |
| Bitcoin, 2017–18 | −64.3% | ~1.5× |
| Netflix, 2011 | −78.7% | ~1.3× |
| Amazon, dot-com bust | −86.9% | ~1.15× |
| Peloton, 2021–22 | −87.9% | ~1.14× |
| GameStop, 2021 | −88.3% | ~1.13× |
Read that last column again. In seven of these ten episodes, any leverage above 2× was fatal if you were positioned the wrong way and held. These are not obscure penny stocks — they are Apple, Amazon, Netflix, Meta and Bitcoin. The companies were fine. The leveraged traders were not.
Note also that the mildest drawdown on the list belongs to NVIDIA during one of the strongest rallies in modern market history — and even that would have destroyed anyone above roughly 17×. Being right about the direction is not sufficient. You also have to survive the path.
There is a second, quieter reason leverage is dangerous: losses and gains are not symmetric when it comes to recovery. If you lose 50%, a 50% gain does not get you back — you need 100%, because you are now growing from a smaller base.
| Loss taken | Gain required to break even |
|---|---|
| −10% | +11.1% |
| −25% | +33.3% |
| −50% | +100% |
| −75% | +300% |
| −90% | +900% |
The formula is recovery = 1 / (1 − loss) − 1. It is why professionals obsess over
limiting the size of losses rather than maximising the size of wins: a string of small losses is survivable
arithmetic, while one catastrophic loss is a hole you may never climb out of.
Applied to the table above: an investor caught in Amazon's dot-com collapse needed a +663% gain just to get back to even. They did eventually get it — but it took years, and only because they still had a position. A leveraged trader had no position left to recover with.
RugPull.trade exposes a leverage dial precisely because the lesson is hard to internalise from a table. Cranking it up makes every winning hold feel enormous, and it will genuinely accelerate a good run. It also shrinks the adverse move you can absorb before the position force-closes — the same margin-call logic described above, on a compressed timescale.
The game draws a dashed LIQ line on the chart whenever you hold a position, showing exactly where that threshold sits. Watching that line creep toward the current price as you raise leverage is the fastest way to understand what the number is really doing. Real platforms show you the same figure; most beginners never look at it until it is too late.
One deliberate difference: the game's payouts are amplified for pacing, so its exact liquidation distance is not a literal model of any specific exchange. The relationship — more leverage, less room, faster ruin — is the part that transfers.
1 / L adverse move — sooner once fees and maintenance margin
are counted.If you want to feel this rather than read it, the safest place to learn is somewhere the money isn't real.
Try it in the game →