Learn the concepts behind the game

Five guides to the things that actually decide whether a trader survives.

RugPull.trade is a game, but the mechanics it exaggerates are real ones: leverage, liquidation, short squeezes, and the gap between being right and being solvent. These guides explain those ideas properly, in plain English, without assuming any background.

Where a number appears, it is computed from the actual daily closing-price series embedded in the game's Mystery mode — real historical episodes including the dot-com bust, the 2008 crisis, GameStop's 2021 squeeze and Bitcoin's 2017 run. Nothing here is illustrative hand-waving; the drawdowns are what genuinely happened.

Why a game is a reasonable place to learn this

Every idea above is simple to read and hard to apply, because applying it means overriding an instinct while money is moving. You cannot practise that by reading, and practising it with real money is expensive tuition.

The game compresses the feedback loop. A hold lasts seconds rather than months, so you experience dozens of the relevant decisions in a single session: whether to take the profit now, whether the warning is real, whether the leverage you picked leaves you enough room. The stats screen then shows your win rate, average outcomes and streaks — enough to calculate your own expectancy and find out what kind of trader you actually are, rather than what kind you assume you'd be.

Mystery mode goes further by removing hindsight entirely: it replays a real historical chart day by day with the company's name hidden and the price rebased, so you cannot recognise it. Reading about the dot-com bust knowing it was the dot-com bust teaches you very little. Sitting inside an unnamed 87% decline, deciding each day whether to hold, teaches you something.

None of this is financial advice, and none of it involves real money. RugPull.trade is entertainment with an educational side effect — a way to build intuition about volatility and risk at zero stakes. It is not a trading platform and not a substitute for professional guidance.
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Historical figures throughout these guides are computed from public daily closing-price data, adjusted for splits; percentages are split-invariant. Past performance does not indicate future results.