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Cycles in Currency Markets: Why Time-Based Analysis Is Hard

Some traders believe markets move in regular cycles, and that identifying them predicts turning points. The evidence is thin, but the idea has real appeal.

There are genuine regular patterns in the calendar. Sessions open at fixed times, data is released on schedule, and central banks meet by calendar. These create repeating bursts of activity. Weekly and daily rhythms, like the London open or Friday afternoon quiet, are observable.

Claims of fixed price cycles, such as turning points every 40 days or following lunar phases, face problems. Cycle lengths drift, and a cycle that fits the past loses power in the future. With enough possible lengths, some cycle will fit any data set by chance. Studies attempting to find reliable cycles in currency prices generally find weak and unstable results.

Longer swings do exist. Currencies often move in multi-year trends, such as long dollar bull and bear markets, driven by interest rates, capital flows, and valuation. These are better understood through fundamentals than through timing formulas.

If you want to examine cycles, do it carefully. Define the cycle length in advance, test it on data you did not use to find it, and see whether it works on more than one pair and period.

Be skeptical of anyone selling cycle dates with certainty.

Practical step: pick a cycle claim you have heard, and test it on at least five years of data before believing it.

The calendar rhythms are the cycles worth trading around. Session opens, data times, month end. Those repeat for real reasons. For example, the first Friday of most months brings US payrolls, the London open brings a burst of activity every weekday morning, and the last trading days of a quarter often bring rebalancing flows. You can plan around all of them in advance, and that's a real edge in preparation even if it isn't a trading signal. Compare that with a supposed 40 day cycle. There's no reason anyone would trade on that schedule, so there's no mechanism to keep it going, which is why it tends to stop working.

Testing on data you didn't use to find the cycle is the key. Most cycle claims fall over right there. If you think you've found a pattern, write down the exact rule, the cycle length and how you'd trade it, then look at a different year or a different pair you haven't studied. If the turning points still line up, it's worth a closer look. If they drift, the pattern was probably a coincidence in the data you started with. With enough different cycle lengths to try, one will always fit the past nicely. That's the reason the out of sample test matters more than any chart that looks convincing.