Bollinger Bands, MACD Swing Trading Strategy with MTF

Discover a swing trading strategy using Bollinger Bands and MACD to identify oversold conditions for large-cap stocks. Learn entry/exit on various timeframes.

Published · Updated · Methodology: Technical Indicators

  • Methodology: Technical Indicators
  • Content type: both
  • Timeframes: 1-hour, 2-hour, 45-minute, 20-minute, 10-minute, 5-minute, 1-day
  • Markets: Stocks (large-cap preferred, but also mid-cap, small-cap), Nifty (Index), Gold, Silver, ETFs

Indicators used

  • Bollinger Bands
  • Bollinger Band %B
  • Bollinger Band Width
  • MACD

Source video

Decoded from: High-Probability Swing Trading Strategy Using MTF | Trade with Margin by Dhan ⚡ — watch the original

Key timestamps:

  • 0:00 - Introduction to finding stocks 'too far from the mean'
  • 3:00 - Timeframe discussion (1-hour to 1-day)
  • 4:50 - Introduction of Bollinger Bands and Bollinger Band %B
  • 5:20 - Bollinger Bands settings (100-period, 3 standard deviations)
  • 6:30 - Bollinger Band Width as a filter
  • 7:00 - Three conditions for entry (Bollinger Bands, %B, Width)
  • 8:10 - MACD introduction and settings (4x parameters)
  • 8:45 - MACD as a buy signal for entry
  • 9:50 - MACD as an exit signal (hold until MACD gives sell signal)
  • 12:00 - Examples on Nifty and Bajaj Auto
  • 13:00 - MTF explanation and leverage
  • 15:00 - MTF ledger and charges explanation

Topics

bollinger bands strategy · macd strategy · swing trading strategy · technical indicators · stock trading strategy · 1 hour strategy · daily trading strategy · nifty strategy · gold trading strategy · etf trading strategy · trading strategy · tradingview strategy · oversold strategy · pine script

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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