Video summary

Multi Time Frame Swing Trading Strategy | Catch Big Trends Early

Main summary

Key takeaways

Finance

Finance-focused summary (Multi-timeframe swing trading strategy)

Core idea / objective

  • Uses multiple time frames to align trades with a larger trend and (per the speaker) reduce exposure to “loss making trades.”
  • Aims for high upside even with ~50% success rate.
  • Performance examples mentioned (wording varies due to auto-captions):
    • ~100%, 200%, 20%, 50%
    • Return range phrasing such as “5:10% to 2-200%” (unclear)

Markets / instruments mentioned

  • Stocks: Ashok Leyland (explicitly used in the walkthrough)
  • Derivatives (optional):
    • Stock futures for short selling
    • Out-of-the-money calls
  • Asset types it can apply to: “any stock” and “any commodity” (time-frame variation only)

Multi-timeframe framework (step-by-step methodology)

1) Choose trading style → define child/parent/grandparent time frames

Traders are categorized by aggressiveness:

  • Aggressive: more/smaller trades with tighter stops/targets
  • Conservative: fewer/longer trades

Child time frame selection

  • Aggressive: Hourly or 90-minute
  • Conservative: Daily (1 day)

Parent time frame

  • Typically 4–6x longer than the child
    • Example:
      • Child Hourly → Parent Daily (1 day)
      • Child Daily → Parent Weekly (1 week)

Grandparent time frame

  • Again ~4–6x longer relative to the child
    • Example sequences:
      • Child Hourly → Parent Daily → Grandparent Weekly
      • Child Daily → Parent Weekly → Grandparent Monthly

2) Apply a 3-moving-average trend indicator on each higher time frame

The strategy applies the same set of moving averages across each time-frame layer (e.g., monthly → weekly → daily).

Moving average sets (based on aggressiveness)

  • Aggressive: 5, 15, 50
  • Moderate: 9, 30, 100
  • Conservative: 20, 50, 200

Buy bias condition (execution-time example)

  • A bullish structure such as:
    • 5 EMA > 15 EMA > 50 EMA (speaker later specifies this on the execution time frame)

3) Execution / trade triggers and management (example uses Daily, Weekly, Monthly)

Time-frame stack (speaker’s default example)

  • Daily (child) + Weekly (parent) + Monthly (grandparent)

Positioning rules (as described in the Ashok Leyland example)

  • After the monthly buy signal occurs, look on weekly/daily for opportunities aligned with that bias.
  • On the daily chart, wait for a fresh buy setup where:
    • 5 EMA > 15 EMA
    • 15 EMA > 50
    • (i.e., “5 EMA goes above 15 and 15 EMA goes above 50”)

Early target trigger

  • If you see a move of about 7–8% within ~1 month:
    • Book partial profit
    • Trail the remaining position(s)

Targets, stops, exits (explicit rules mentioned)

Profit booking / scaling

  • First profit booking: target zone ~7–9%
    • Speaker emphasizes booking profit early.
  • Partial scaling example: exit ~60% around 8–9%

Stop / exit logic related to MA crossover

  • Exit concept described as: “candle where the 5 MA crosses the 50.”
  • Example language indicates confirmation logic such as:
    • “Did our low go below the low of that candle? No.”
    • “Was our stop loss cut? No.”

Managing the remainder

  • After the first exit/scale:
    • the remainder is trailed
    • later exits when the next bullish phase ends or when additional targets are hit

Later-stage exit targets (ranges)

  • “Book remaining positions also around 15–17%”
  • Another range mentioned: around 20%
  • Conceptually: let “10–15%” run till the end

Example walkthrough: Ashok Leyland (timeline + outcomes)

  • Monthly buy signal:
    • Said to remain “in Buy” starting around Feb 2021
    • Example claims it “never gave me an exit on the monthly chart even once.”
  • Weekly confirmation window:
    • Described as bullish through March 2021 until about Nov 29, 2021
    • (Exact boundaries are not fully clear from captions, but Nov 29, 2021 is explicitly mentioned.)
  • Daily execution example around March 2021:
    • Price drop occurred; execution waits for EMA alignment (5 > 15 > 50).
    • Example performance:
      • ~5.5% move in ~22 days
      • Later exit/target achieved after recovery with ~14% in ~76 days
  • Repeat trades:
    • Another buy signal appears around September 2021: ~18% in ~27 days
    • Another buy signal described on 23 May 2022: ~13% within ~1 month
  • Extended run / risk anecdote:
    • Buy signal “continuously running” until March 2024
    • One instance: “target was not hit,” but loss stayed around ~2–3%
    • Another instance later: profits around ~31% (anchor date for “31% at this place” is not precisely specified)

Using more conservative variants / other time-frame stacks

  • More conservative version mentioned:
    • Weekly + Monthly + Quarterly
  • Smaller timeframe adaptation (caption wording unclear, but described as):
    • Use Hourly instead of Daily
    • Map “weekly” to one day chart
    • Map “monthly” to one week chart
    • (Implying faster scaling of the time-frame hierarchy)

Short-selling / derivatives (optional)

Possible adaptations

  • Short selling using futures
  • Selling out-of-the-money calls

Caution / recommendation

  • Speaker recommends starting with the cash market first (especially for new traders).
  • Reason given: leverage increases emotional/behavioral risk (fear/anxiety can increase loss probability).

Risk management and trade management emphasis

  • Speaker repeatedly stresses:
    • Trade management is crucial after finding candidates.
  • Filtering/shortlisting approach mentioned:
    • Even after identifying candidates, there may be 10–15 stocks to work through.
  • Future content mentioned:
    • position sizing maintenance
    • how to shortlist trades
    • a webinar for these topics

Scanners / tooling / calls to action

  • Mentions building a screener/scanner in later videos:
    • keywords requested in comments:
      • “MTF scanner”
      • “MTF Screener”
  • Mentions a TradingView indicator that auto-generates buy/sell signals (no further details in the provided subtitles).
  • Webinar enrollment:
    • Free webinar with limited seats
    • link in description (not included in subtitles)

Disclaimers / disclosures

  • No explicit “not financial advice” disclaimer is shown in the provided subtitles.
  • The speaker frames the content as a trading strategy and education/mentorship, but legal disclaimer text is not present in the excerpt.

Presenters / sources

  • Presenter: Himanshu (channel name referenced as “Himanshu bye ups”)
  • Platform referenced: TradingView (for an indicator/signal tool)

Original video