If the bitcoin drops 30% and then you buy it at 61% in this case study, it's going to be higher than that.

Adam Livingston, vice president of investments at Stripe ($ASST), released the analysis on 28 at 11.00, which examined what would happen if investors chose to buy bitcoin ( Bitcoin ,BTC) after its price had dropped 30% from a 52-week closing price peak. Such an analysis was presented by Bitcoin.com.

What's this study for?

The analysis compares the after-effects of Bitcoin's fall from its closing price peak over 52 weeks, 216 times between January 2017 and October 8,90,0006, with a reference point being the closing prices that reached their high points.

Why isn't 30% always a secure line?

The number 30% seems to be a phase that many people choose as an impulse to buy because they think the price has dropped sufficiently, but the study found that the fall of 30%, occurred after reaching its peak in a baseline period of 134 days. This means that overall, waiters may experience periods when prices do not decline for a long time and during which the price can bounce or go up first.

What does the 61% case tell us?

The key point is that in 61% of the case studies, the strategy was to wait for bitcoin to drop by 30% before making a purchase, which then pushed up its price. This figure doesn't say that waiting is bad every time, but it does say that dead-end conditions don't produce the desired outcome. In most cases from this data set, waiting can cause investors to miss moments when prices haven't dropped or have already fallen and hurry back up before buying immediately.

How should Thai readers view this?

For users in Thailand, the purchase of bitcoins is often converted to baht ( THB ) via platforms operating under the SEC (Thailand) and some such as Bitkub are also options that Thai users are familiar with. In this context, the results from Bitcoin.com are historical data on global prices rather than platform-specific baht prices, so users should distinguish between the fluctuations of BTC with physical values, images and regulations of local platforms.

There's a limit to what you can do.

The dataset starts from January 2017 and ends in October 2025, covering 216 times. The reference point is the 52-week closing price, not a real-time one, and the baseline period of 134 days does not predict that this next round will be similar.