Swing Trading Pattern
Uncover highly profitable swing trading patterns using price action on Daily stock charts. This strategy focuses on momentum stocks for short-term gains.
Published · Updated · Methodology: Price Action
Part of: EMA Strategies
- Methodology: Price Action
- Content type: strategy
- Timeframes: Daily
- Markets: Stocks
Indicators used
- Exponential Moving Average (EMA)
Source video
Decoded from: My Exact Swing Trading Process | From Entry to Exit by Yash Patel — watch the original
Key timestamps:
- 0:55 - Holding period and risk-reward
- 1:25 - Stock should be in momentum
- 1:49 - Stock near 52-week high zone
- 2:24 - Stock given 10-20% move in last 10 days
- 2:47 - Bounce or tightness near 10 and 20 EMA
- 3:40 - Entry on high breakout
- 4:00 - Stop loss placement
- 4:30 - Second entry scenario with 20 EMA bounce
- 5:30 - Live example 1
- 7:00 - Live example 2
Strategy overview
In swing trading, short exponential moving averages act less as signal generators than as a moving reference for where a trend's pullbacks are supposed to end — and this daily-timeframe video treats them exactly that way. "My Exact Swing Trading Process | From Entry to Exit" by Yash Patel is a process video rather than an indicator video: its published chapter list reads as a screening funnel, where the first cuts are made on momentum and relative strength — is the stock already leading, is it near the upper end of its yearly range, has it moved hard recently — long before any chart-level trigger is discussed.
That ordering is the distinguishing feature. The EMA pair arrives late in the sequence, after the universe has already been narrowed, and its job is to qualify the pause rather than to fire an entry: price coiling or bouncing around the averages is read as evidence that the pullback is orderly and the trend is intact, with the actual trigger left to a breakout of the prior high. It is a price-action framework in which the moving averages describe the shape of the rest, not the direction of the move — an inversion of the usual crossover logic this indicator family is built around.
The title promises entry to exit, but the runtime runs closer to the reverse. Holding period and risk-reward are addressed at the very start, as framing for what kind of trade this is, and the chapter arc then ends at the breakout entry — so the exit question is answered as a premise rather than as a rule. No extracted rule set is on record for this entry, so what is documented here is the shape of the selection process and where the moving averages sit inside it, not the parameters behind it.
Topics
swing trading pattern · price action · swing trading strategy · stocks trading strategy · daily timeframe strategy · momentum trading · tradingview strategy · pine script · stock market swing trading
Frequently asked questions
How are EMAs used in swing trading on the daily chart?
In swing setups, short exponential moving averages are most often used as a dynamic reference for pullback depth: as long as price pauses near the averages and resumes, the trend is treated as intact. That is a confirmation role, distinct from the crossover role EMAs play in trend-following systems.
What makes this swing trading process different from a standard EMA strategy?
The order of operations. This video screens for momentum and relative strength first and only then looks at the moving averages, so the EMAs are a filter applied to an already-shortlisted stock rather than the thing that finds the trade. The entry itself comes from a breakout of a prior high, not from the averages.
Does the video cover exits as well as entries?
Its title says entry to exit, but the published chapter structure opens with holding period and risk-reward as framing and closes on the entry breakout. The trade's duration and reward expectation are stated up front; a separate exit rule segment is not part of the chapter arc.
How can I evaluate a daily swing process like this one?
Because the setup is defined by conditions that can be checked on a chart — trend context, proximity to range highs, behavior around the averages, a breakout level — it can be reviewed historically before being traded. Strategy Decoder catalogs strategies like this one from their video sources so you can study the structure and test the idea on TradingView.
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.
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