Asset Seasonality Screener

A seasonality screener is a market research tool that helps you find stocks, ETFs, crypto, indices, and currencies with recurring month-based performance patterns. It surfaces assets that historically performed best or worst in a specific month using long-term return data.

The screener evaluates historical monthly returns and lets you filter by target month, return range, and seasonality period (Current Year, Last Year, 5Y, 10Y, 20Y). You can then sort results to identify assets with stronger historical or recent seasonality for your selected month.

Select a month like March or August, choose a period (for example Last Year or 10Y Average), then set a return filter such as 5% to 10%. Sort by monthly return to quickly discover assets that have shown stronger performance in that calendar window.

Current Year reflects this year's realized monthly path so far, and Last Year reflects the most recent completed year. The 5Y, 10Y, and 20Y averages provide progressively broader context. Comparing short-term and long-term periods helps you decide whether a pattern is recent momentum or a more persistent seasonal tendency.

Yes. The screener supports multiple asset classes in one place, and you can narrow results by asset type to focus on a specific market segment.

Treat seasonality as a probability signal, not a guarantee. Historical averages can highlight recurring tendencies, but every year is different. Use seasonality together with trend, risk, liquidity, and macro context before making decisions.

Yes. Traders often use monthly seasonality to prioritize setups, while investors use it to plan entry timing, rebalance windows, or tactical risk adjustments. It is most useful as a supporting filter in a broader strategy.

No. It summarizes historical behavior and does not forecast guaranteed outcomes. Past performance can guide research, but it cannot eliminate uncertainty or future regime shifts.

Start with a practical range such as 2% to 8% for broader discovery, then tighten to higher ranges for stricter candidates. You can iterate by month and lookback horizon to balance result quality and coverage.

Use the same month and lookback settings across all candidates, then sort by historical return and review consistency metrics. This apples-to-apples comparison helps identify stronger seasonal profiles.

The screener can be explored freely, while some advanced actions are limited by plan. You can still use the core filters to research monthly asset behavior and shortlist ideas.