StockSeaso does one thing: it tells you whether the current moment in the calendar is historically favorable or unfavorable for a specific stock. fast, data driven and without noise. What makes it different: Out-of-sample validation built in. The platform splits historical data into separate time windows so you can see whether a pattern held across different market cycles Pattern robustness scoring. Every seasonal pattern gets a robustness score based on consistency across cycles.
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Maker
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The idea came from a simple frustration: I kept seeing traders do deep research on a stock: fundamentals, technical analyisi, everything, and then completely ignore whether the timing made any historical sense.
Seasonality was either too complex to access or locked behind tools that cost hundreds a month.
The thing I'm most proud of is the out-of-sample validation. Instead of showing you one big win rate across all years, the platform splits the data into separate market cycles so you can see whether a pattern actually held up, or just looked good in hindsight. That's the difference between a real edge and overfitting.