Strategies — One Tag, One Edge

A strategy tag is a promise: these trades shared one entry rule, one stop rule, and one profit logic. Mixing a Bank Nifty opening-range breakout with a swing mean-reversion on Reliance under one tag produces a blended win rate that lies to you. The Strategies pillar exists so expectancy and profit factor are measured per playbook — not per account.

One tag, one rule set

Before you create a fifth strategy in TradeLyser, ask whether the last four actually differ on entry trigger and invalidation. If two tags share the same stop placement and only differ by symbol, merge them. Capital allocation across strategies only makes sense when each tag has at least twenty closed trades in similar market conditions.

Sample size before you change size

The sample-size rule is blunt: do not increase lot size or add capital to a strategy until you have twenty closed trades tagged to that strategy in the current regime. Ten trades is enough to spot a disaster; twenty is a minimum for adjusting rules. On Nifty weekly options, twenty trades can mean three expiry cycles — plan for that timeline instead of judging after four trades.

Worked example: blended win rate

You run two setups: (A) morning pullback longs on Nifty futures with 62% win rate and (B) afternoon reversal shorts with 38% win rate. Combined under one tag you see 50% and think you are breakeven — but expectancy is negative because losers on B are larger. Split tags reveal A is fundable and B needs redesign or removal.

Strategy scorecard

Once a month, fill a scorecard per tag: expectancy in R, profit factor, average hold time, max adverse excursion vs planned stop, slippage on entries, and rule adherence rate. Rank strategies by expectancy after costs, not by excitement. Pause funding to any tag with profit factor below 1.2 over thirty trades until you rewrite rules or retire the setup.

Capital allocation across playbooks

Indian retail books are often ₹2–10 lakh active trading capital. Allocate rupee risk per strategy, not per symbol. If Strategy A earns 0.3R expectancy and Strategy B earns 0.1R, A deserves more daily risk budget — but only after both pass sample size. Never let a new untested setup take equal risk to a proven tag just because you are bored.

Tagging hygiene on F&O books

• Tag structure separately: naked option vs spread vs hedge.
• Note index vs stock underlier — Nifty gamma behaves unlike single-stock swings.
• Mark expiry week trades explicitly; theta strategies are not comparable to directional weeklies.
• Archive strategies you stopped trading — do not delete history.

When to retire a strategy

Retire a tag when: expectancy stays negative after forty trades and one rule revision, slippage on entry exceeds one-third of average winner, or you cannot describe the setup in three sentences without moving goalposts. Archive it, keep the data, and move risk to tags that survived review.

Regime and volatility tags

India VIX above 18 often changes how intraday breakouts behave on Nifty — a tag that wins in quiet weeks may lose in event weeks. Add a light regime note on the session or strategy: Low VIX trend, High VIX chop, Budget week, Results season. You are not building a quant model; you are preventing one regime’s trades from funding size increases that only worked in another.

Month-over-month strategy comparison

On the first Friday of each month, sort tags by expectancy and profit factor for the last thirty days vs prior thirty. Promote risk to the top one or two tags; freeze or halve the bottom tag unless sample size is under twenty trades. Do not delete losing tags mid-month because of one expiry day — mark the session as expiry in notes and compare expiry vs non-expiry buckets instead.

Worked example: two tags on Bank Nifty

Tag A: opening-range breakout longs, 24 trades, expectancy +0.22R, profit factor 1.45. Tag B: afternoon fade shorts, 19 trades, expectancy −0.15R, profit factor 0.82. Action: keep A at full rupee risk, pause B until rewritten with tighter entry filter or retire after five more trades confirm failure. Without split tags, the account shows mild green while B subsidises false confidence in “Bank Nifty skill.”

Strategy tagging mistakes

• Creating a new tag after every loss instead of fixing rules inside an existing playbook.
• Tagging “discretionary” on trades that share no common entry logic.
• Comparing win rate across tags with different average hold times and R targets.
• Ignoring costs — STT and brokerage turn a 1.1 profit factor into breakeven on scalps.
• Funding size from one great week without twenty-trade sample on that tag.

Paper trades and live tags

Paper trading is valid for testing a new Nifty setup, but tag it separately from live capital — blended tags hide when you sized up emotionally on real money. When you promote a paper tag to live, reset sample size at zero on the live tag; keep paper history archived for reference. Many Indian traders run parallel paper books during Results season to test filters without risking rupees — that only works if tags never merge.

When strategies overlap

Two tags can look different but share risk: Bank Nifty ORB longs and Nifty futures pullback longs often move together on trend days. Your capital allocation should cap combined index exposure in rupees, not per tag in isolation. On red index days, both tags may stop together — scorecards should note correlation so you do not double-count diversification. Stock-specific swing tags on Nifty-heavy names add hidden beta; note sector and index bias in strategy descriptions.

Strategy Board workflow

Create tags before the week starts — not after trades print. Colour-code or name tags by session (open vs afternoon) and product (cash vs F&O). After sync each evening, untagged trades should be zero; if not, fix tags before opening any report. Monthly, archive tags you stopped trading but keep them in filters for historical compare. The Strategy Board is not a trophy case — it is a risk ledger.