Los Angeles → Buenos Aires flights

LAX–EZE fares cluster near $385 — little room to game timing

Key takeaways

• Median fare sits at $385, with most observed prices bunched close to that mark
• Bottom quartile fares ($351 or less) represent the best realistic deals seen in this data
• Spread is 16% — just above our low-volatility threshold, so timing games offer modest upside at best
• Low of $335 was the single cheapest fare recorded; high of $390 shows the ceiling stayed contained
• Sample is thin at 12 days, so treat these as directional, not definitive, patterns

30-day price trend

See full numbers and stats on the LAX → EZE price history page.

The full picture

The data shows a narrow band for LAX–Buenos Aires fares: a $335 low against a $390 high, with a median of $385. That's a 16% spread — just over our threshold for calling a route 'low volatility,' but still far tighter than routes where fares swing 40-50%. In practice, this means waiting for a dramatic price drop isn't a realistic strategy here; the market has already priced this route fairly consistently across the window we observed.

With only 12 snapshots, we can't confidently map a booking-horizon curve — we don't have enough days to say whether fares soften at a particular number of weeks out. What we can say is that a fare at or below the $351 p25 mark is a genuinely good deal relative to the rest of the distribution, while anything above $385 is paying a premium for no clear added value. If you see a fare in the low $350s or below, that's worth acting on rather than waiting.

No dominant carrier was identifiable from this data, and we saw no reliable day-of-week signal — the sample is too small to isolate weekday versus weekend departure effects with any confidence. The honest takeaway: this route doesn't show the kind of wide, exploitable swings that reward aggressive timing strategies. Your best move is to set a target near the $351–$385 range and book when you see it, rather than chasing a bottom that this data doesn't show reliably recurring. Given the thin sample size, treat these figures as a useful baseline rather than a precise forecast.

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