What is Tax-Loss Harvesting?

Indian market context (NSE)

Reference levels: Nifty 50 at 24,300, Reliance Industries at ₹1,300, Bank Nifty futures at 55,000 (lot size 30). Examples below show how Tax-Loss Harvesting shows up on Indian index, equity, and futures books — update to live quotes in your journal.

Nifty 50 perspective

Tax-Loss Harvesting in Indian context at Nifty 24,300: apply SEBI/regulatory framing where relevant and tag index trades separately in weekly review.

Reliance Industries perspective

Tax-Loss Harvesting using Reliance at ₹1,300 as a liquid large-cap example — adjust numbers to your live quote and contract note.

Bank Nifty futures perspective

Tax-Loss Harvesting with Bank Nifty futures at 55,000 — respect lot size 30 and quarterly vs monthly contract rules on NSE.

How to validate

• Validate Tax-Loss Harvesting with a written rule and at least 20 tagged examples.
• Ask whether the reading changed because of process or one outlier trade.
• Compare two independent time windows before adjusting position size.
• Document validation date in weekly review notes.

How to track in TradeLyser

• Mention Tax-Loss Harvesting in trade comments when it influenced the decision.
• Mirror the term in weekly review questions for consistency.
• Filter trades mentioning the concept during monthly analytics.
• Cross-link to related glossary terms in mentor notes.

Best practices

• Teach Tax-Loss Harvesting the same way to mentors and peers — shared vocabulary.
• Re-read this page after major rule changes to Tax-Loss Harvesting usage.
• Prefer one improvement per month over ten simultaneous tweaks.
• Link learn articles when Tax-Loss Harvesting needs deeper study.

Common pitfalls

• Using Tax-Loss Harvesting buzzwords without measurable journal tags.
• Copying another trader’s Tax-Loss Harvesting rule without sample size context.
• Skipping weekly review because the term feels “basic”.
• Letting social media redefine Tax-Loss Harvesting mid-quarter.

How to use this in TradeLyser

Investment notebook only; do not mix with intraday trading expectancy analytics.