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Seasonality® Trading Mastery

6 Hour Online Class for Full Time Traders
📅 Date - 06 | 07 Feb 2026
⏰ Time - 09:00 PM
🪑 Seats - 27 Seats 
🗣️ Language - Hindi / English (Mix)
💳 Fees - ₹ 1140

Seasonality is not a “prediction.” It is a probability wind.
In this bootcamp you’ll learn how to identify, test, & trade seasonality like a professional—using Win% + Average + Median + Sample Size so you stop chasing random patterns and start trading repeatable windows.

👉 Outcome: You’ll leave with a working seasonality template, a decision framework, and a 30-day action plan you can follow immediately.

ChatGPT Image Feb 4, 2026, 01_27_59 PM.png

Format: Live on Zoho (Interactive + Q&A)
Duration: 2 Days × 3 Hours
Recording: (Only for 2 days, after the class)
+50 Historical Stocks data (From Nifty500 Index)
Language: English/Hindi (edit as needed)
WhatsApp Support: +1 (438) 448-6881

What You Will Learn (Clear & Practical)

Part 1 — Build the Seasonality Edge

  • What seasonality really means (and what it doesn’t)

  • Calendar seasonality vs Event seasonality

  • The most useful seasonality families:

    • Month-of-year bias

    • Day-of-week bias

    • Turn-of-month windows

    • Pre/Post holiday behavior (concept + how to test)

    • Expiry week behavior (index/options context)

    • Event windows (budget week, earnings clusters, etc.)

Part 2 — Test It Correctly (No Fake Backtests)

  • How to calculate returns properly (close-to-close, open-to-close)

  • The 3 metrics that matter:

    • Win% (frequency)

    • Average return (impact)

    • Median return (typical result; protects from outliers)

  • Sample size rules: why “few years” can lie

  • How to avoid data-mining traps:

    • outlier removal

    • split-testing (old vs recent)

    • regime check (bull/bear/sideways)

Part 3 — Convert Seasonality into Trades

  • Seasonality is bias, not entry

  • The trade formula:
    Bias + Trigger + Risk + Exit

  • Simple triggers that work:

    • previous day high/low break

    • range breakout confirmation

    • candle close rules

  • Risk rules (non-negotiable):

    • fixed SL / time stop

    • position sizing

    • max loss per day

    • journaling + review process

Part 4 — Options Module (Simple & Repeatable)

  • Directional seasonality → debit spreads

  • Range seasonality → defined-risk iron structures (fly/condor)

  • When to avoid options (no-trade zones)

Who This Workshop Is For

✅ Perfect for:

  • Intraday traders, swing traders, options traders

  • Traders who want timing windows + discipline

  • Anyone who overtrades and wants a rule-based calendar plan

❌ Not for:

  • “Sure-shot tip” seekers

  • Traders unwilling to backtest, journal, or follow risk limits

2-Day Schedule (Full Syllabus)

Day 1 (3 Hours) — Foundations + Testing Framework

Module 1: Seasonality 101 (what it is / why it exists)
Module 2: The major patterns traders actually use
Module 3 (Live Build): Create your Seasonality Sheet in Excel/Sheets

  • returns calculation

  • month / weekday tags

  • Win% + Avg + Median
    Module 4: How seasonality backtests get “fake” + how to fix it
    Homework: Test one rule on your data and bring Win%/Avg/Median to Day 2

Day 2 (3 Hours) — Trading Plan + Calendar Creation

Module 1: Homework review + correcting common mistakes
Module 2: Turning seasonality into a trade setup

  • bias + trigger + SL + exit
    Module 3: Options conversion (debit spreads + defined risk range setups)
    Module 4 (Workshop): Build your 30-Day Seasonality Action Plan

  • Top 2 LONG windows

  • Top 2 SHORT windows

  • 1 No-trade zone
    Final: 10 rules checklist + 14-day practice plan

Requirements

  • Laptop + Excel / Google Sheets

  • Market data (Nifty/Bank Nifty/stocks you trade)

  • Chart access (TradingView/broker terminal helpful)


📅 Date - 06 | 07 Feb 2026
⏰Time - 09:00 PM
🪑 Seats - 27 Seats 
🗣️ Language - Hindi / English (Mix)
💳 Fees - ₹ 1140

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01 Seats Book | 26 Seats Left

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+91 - 7078 381014
+1 - 438 -448 - 6881

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© 2025 Gannresearch.com All rights reserved. | Gannresearch is part of L@vnya Investments.
Registered Office: L@vnya Investments, 844 Ba, Tera Building, Dalal Street, Kala Godha, Mumbai-400032
For any query/feedback / clarifications, email at care@ganntradingmethod.com 
In case of grievances for any of the services rendered by L@vnya Investments, please write to care@ganntradingmethod.com  

© 2025 by L@vnya Investments. 

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