What Boom and Crash indices actually are
Boom and Crash indices are synthetic instruments created by Deriv. Instead of reflecting the buying and selling of a real asset — a stock, a currency pair, a commodity — their price feed is generated by software using a verified random number generator. There's no company behind Boom 1000, no interest rate decision behind Crash 500, and no order book of real participants absorbing your trade on the other side beyond the broker itself. That's a meaningfully different starting point than trading EUR/USD or the S&P 500, and it changes what kind of analysis is actually useful.
Because the feed isn't tied to a real exchange, these indices run continuously — nights, weekends, holidays. There's no pre-market gap to worry about and no earnings calendar to check. The tradeoff is that the price action doesn't respond to news, doesn't respect support and resistance in the way a heavily-traded real market might, and doesn't offer the kind of macro context that can help explain why a real market is moving. What you get instead is a consistent statistical pattern, which is really the only edge available: understanding that pattern well.
The mechanics behind the "spike"
Both families follow the same basic model with the polarity flipped. A Crash index ticks upward in small increments most of the time, then at a statistically random moment drops sharply — that drop is the "crash." A Boom index does the reverse: it ticks downward in small increments most of the time, then jumps sharply upward — that's the "boom." The small moves are the drift; the sharp move is the spike. Almost every strategy built around these instruments is really a strategy about how to handle one of those two phases, or the transition between them.
The key statistical property to understand is that spikes are generated per-tick with a fixed average frequency, and that process is effectively memoryless — the fact that 800 ticks have passed since the last spike on a Boom 1000 chart doesn't make the next tick statistically more likely to be the spike than it was 50 ticks ago. This trips up a lot of new traders who build timing systems around "it's due." It isn't due in any way the math supports.
Why the number in the name matters
The number attached to each index — 300, 500, 900, 1000 — is the average number of ticks between spikes. A lower number means spikes happen more often; a higher number means they're rarer. In practice this also correlates with the character of the moves: shorter-interval variants tend to produce more frequent, comparatively smaller relative dislocations, while longer-interval variants go quieter for longer stretches and then move harder when the spike does land. Neither is objectively "safer" — a Boom 300 that spikes constantly can still blow through a poorly-placed stop, and a Boom 1000 that goes quiet for an extended run can lull a trader into oversized positions right before a large spike.
How this differs from trading forex, indices, or crypto
There's no news event to trade around, no correlation to interest rates or GDP prints, and no relationship to what other synthetic-index traders are doing — each account's trades don't move the underlying feed. What doesn't change: spreads and swaps still apply, margin calls still happen, and slippage during fast moves is still very real. "Synthetic" describes how the price is generated, not whether the financial risk is synthetic. It isn't.
Before you place your first trade
- Check the specific contract specs for the index you plan to trade — minimum lot size, spread, and swap direction can all differ between variants.
- Watch a demo account through several full spike cycles before funding a live account, so the drift-then-spike rhythm stops feeling abstract.
- Confirm your platform and connection don't introduce meaningful execution lag — a slow order fill during a fast spike can turn a planned exit into a worse one.
- Accept going in that a spike can move price further past a stop level than you'd typically see on a forex pair in the same amount of time, and size positions with that in mind rather than after the fact.
None of this makes Boom and Crash indices unusually dangerous compared to other leveraged instruments — but they are dangerous in a specific, learnable way. Traders who do well with them tend to be the ones who stopped trying to predict the exact tick of the next spike and instead built rules around the fact that it's coming, at an unknown time, with a roughly known frequency.