This Seasonality Method Finds Trends Before They Start
Автор: Quantsapp
Загружено: 2026-01-13
Просмотров: 505
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In this video, I explain a powerful seasonality trading strategy where we analyze last 5 years of monthly return data to identify bullish or bearish bias in sectors, stocks and implied volatility (IV).
We calculate average monthly returns, study recurring market behaviour, and then confirm trades using derivative built-up cycles like Long–Long Unwinding (L–LU) and Short–Short Covering (S–SC) to execute high-probability positional trades.
This strategy helps you:
✔ Identify trend months in advance
✔ Avoid random trades
✔ Align with institutional positioning
✔ Trade with data, not emotions
If you’re a positional trader, swing trader or options trader, this video will completely change how you plan your trades.
📌 Watch till the end for the complete framework.
💡 Bonus Tip: Download and sign up on Quantsapp using the link below to explore these tools and follow along with me! 👉 http://web.quantsapp.com/?s=ar
#SeasonalityTrading #PositionalTrading #StockMarketIndia #DerivativeAnalysis #BuiltUpAnalysis #SmartMoneyConcept #OptionsTrading #IVAnalysis #DataDrivenTrading #QuantTrading #MarketCycles #SwingTradingIndia
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