Price + Relative Strength (RS) Swing Trading Watchlist Strategy
Build a high-probability swing trading watchlist using Price and Relative Strength (RS) analysis. Identify strong stocks before breakouts for daily F&O markets.
Published · Updated · Methodology: Technical Indicators
- Methodology: Technical Indicators
- Content type: strategy
- Timeframes: Daily
- Markets: F&O Stocks (Indian Market context), Nifty 50 (for RS comparison)
Indicators used
- Relative Strength (RS)
- Point & Figure (P&F)
Source video
Decoded from: How to Build a High-Probability Swing Trading Watchlist (Price + RS Strategy) by Definedge — watch the original
Key timestamps:
- 0:45 - Importance of building a watchlist
- 2:00 - Core components: Price, Performance (RS), Participation
- 2:40 - Focusing on Price and Relative Strength (RS)
- 3:40 - Setting up the scanner for watchlist creation
- 4:00 - Price condition: 'Not Double Top Buy'
- 4:20 - Box size for swing breakouts: 0.25%
- 4:40 - Relative Strength condition: 'Last Column of X' (bullishness)
- 6:00 - Scanning process and results (45 stocks)
- 6:40 - Filtering by 'Percentage from DBS' (Stop Loss)
- 7:50 - Setting 'Percentage from DBS' below 5%
- 9:00 - Using the filtered watchlist for 'Double Top Buy' scans
- 10:00 - Visualizing charts from the watchlist
- 11:00 - Setting Price Alerts/GTT Orders for breakouts
- 12:00 - Automated order placement on alert
Topics
price action · relative strength · swing trading · watchlist strategy · technical indicators · f&o stocks · daily timeframe · tradingview strategy · indian market · nifty 50 strategy · point & figure · swing trading strategy
About this strategy page
This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.
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