RSI, Moving Average, Supertrend Swing Trading Strategy

Swing trade Indian stocks with this strategy using RSI, Moving Averages, and Supertrend. Identify pullbacks in uptrends for optimal entries.

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Daily (implied by swing trading and examples), Weekly (for RSI strength filter)
  • Markets: Stocks (Indian market context, Chartink platform)

Indicators used

  • RSI
  • Moving Average
  • Supertrend

Source video

Decoded from: The Ultimate 3-Indicator Swing Trading Strategy on Chartink by Milind Upasani — watch the original

Key timestamps:

  • 0:00 - Introduction to swing trading strategy
  • 4:00 - Explanation of swing trading concept
  • 7:00 - Traditional 200 EMA + RSI 5 (30) approach and its flaw
  • 8:40 - Modified Strategy 1: 50 EMA + RSI 5 (30) with 200 EMA filter
  • 10:40 - Modified Strategy 2: Supertrend 7/3 + RSI 5 (30) with 200 EMA filter
  • 12:00 - Strategy 3: Simple 200 EMA + RSI 5 (30)
  • 13:30 - Examples and dashboard usage
  • 22:00 - Risk management and historical analysis

Strategy overview

Swing trading holds positions for days or weeks, so its signals are built to survive overnight noise rather than react to it — and this entry stacks three of the most common tools for that job: RSI, a moving average, and Supertrend. What separates it from the usual three-indicator tutorial is the shape of the video itself. Milind Upasani's "The Ultimate 3-Indicator Swing Trading Strategy on Chartink" spends its first chapters not on a setup but on a critique: the widely circulated 200 EMA plus short-period RSI combination is introduced at 7:00 explicitly alongside its flaw, and everything after that is presented as a numbered attempt to repair it.

The Chartink framing matters more than it might look. Chartink is a screener for Indian equities, not a charting workspace, which changes what the moving average is being asked to do — it functions as a filter condition evaluated across a universe of stocks to reduce a watchlist, rather than a line watched on a single chart. That is why the video can afford three parallel variants: swapping the trend component (a shorter EMA in one, Supertrend in another, the plain long EMA in the third) is a matter of rewriting one scan condition, not relearning a discretionary read.

Worth noting how the published timeline resolves. Three modifications are announced between 8:40 and 12:00, and the last of them lands back on the simple long-EMA-plus-RSI pairing the video opened by criticizing — a loop the chapter titles make visible without explaining. The map also ends there: no chapter is published for exits, stop placement, or position sizing, and no extracted rule set is on file for this entry, so what this page can document is the source video, its structure, and the comparison it sets up between the three variants.

Topics

rsi strategy · moving average strategy · supertrend strategy · swing trading · swing trading strategy · indian stock market · technical indicators · trading strategy · chartink strategy · daily timeframe · pine script · tradingview strategy · stock trading strategy · rsin indicator

Frequently asked questions

What does a three-indicator swing trading strategy try to achieve?

Each indicator is meant to answer a different question: a moving average defines the prevailing trend, RSI measures whether price is stretched within it, and Supertrend supplies a trailing directional reference. The intent is confluence — requiring agreement before a swing entry — though stacking correlated tools can also mean three ways of measuring the same thing.

What is Chartink and why is this strategy built on it?

Chartink is a stock screener used mainly for Indian equities, where conditions are written as scan queries rather than drawn on a chart. Building a strategy there means the indicators act as filters applied across many stocks at once, which is what allows the video to test alternative trend components as interchangeable scan conditions.

Why does the video present several different versions of the strategy?

The published chapter titles frame it as a progression: a traditional approach is introduced together with its flaw, then two modified strategies and a third simplified one follow. The video is structured as a comparison between variants rather than as a single fixed system.

Does this page contain the full rules of the strategy?

No extracted rule set is on file for this entry, so what is available here is the source video, its chapter structure, and the indicator concepts it works with. Strategy Decoder catalogs strategies from video sources so you can locate the original material and evaluate the approach yourself before testing it on historical data.

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.

Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.

Other versions of this strategy

More decoded strategies