A strategy tag is a promise that entries shared one rule set. Use this hub to name styles consistently, then compare expectancy per tag — not blended P&L across incompatible setups.
31 terms · Editorial policy → · Trading system → · Strategy playbooks →
Algorithmic trading uses rules executed by software. API brokers on NSE — journal versioned algo tags.
Arbitrage exploits small price differences across venues or forms. Cash-futures basis on Nifty — realistic retail scope.
Averaging down adds to losing position. High risk on NSE — tag separately from scaling into winners.
Breakout trading enters on range expansion. Nifty ORB and stock level breaks on NSE.
Carry trade earns interest differential. Macro strategy — FX/rates context for global Indian traders.
Day trading closes positions before session end. Costs, STT, and tagging on NSE intraday books.
Earnings play trades around company results. Volatility and gap risk on NSE stocks.
Event-driven trading plans around known catalysts. Earnings and policy on Indian markets.
Gap fill trades target return toward prior close after opening gap. Opening hour Nifty setups.
Gap trading exploits open away from prior close. First-hour Nifty specialism.
HFT uses speed and automation for tiny edges. Context for retail — costs and colocation differ on NSE.
Martingale doubles size after losses. Negative expectancy trap — journal if tempted on F&O.
Mean reversion fades extremes back toward average. Range days on Nifty — define extreme with ATR or bands.
Momentum buys strength, sells weakness. Leader stocks and index trends on NSE — tag continuation vs late chase.
News trading reacts to headlines and events. RBI, budget, and results on NSE.
Pairs trading trades relative value between two correlated names. Spread risk on NSE sector pairs.
Paper trading simulates orders without capital. Onboarding new setups on NSE data.
Position trading holds multi-day to multi-week. Swing horizon on NSE stocks and index.
Pullback trading enters trends on dips. VWAP and MA pullbacks on Indian leaders.
Pyramiding adds size into winning trades. Trend compounding on Bank Nifty.
Quantitative trading uses models and data rules. Systematic tags on Indian APIs.
Range trading fades boundaries in sideways markets. Nifty on low ADX days.
Scaling in adds to winners or entries in slices. Planned adds vs hope averaging.
Scaling out exits in portions. Locks profits on extended Nifty trends.
Scalping targets small, frequent gains with tight stops. Costs, win rate, and Nifty/Bank Nifty liquidity requirements.
Sector rotation shifts exposure between NSE sectors as leadership changes.
A setup is your defined entry trigger. Tag setups cleanly for honest NSE analytics.
Backtesting simulates rules on history. Validate before live NSE size — journal forward test separately.
Swing trading holds positions for days to weeks. Overnight gap risk, NSE delivery margins, and journal holding period tags.
Theta gang sells option premium to earn decay. Short vol culture — define risk on NSE weeklies.
Trend following rides established direction. Moving averages and breakouts on Bank Nifty — trail stop discipline.
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