Video summary

9-20 EMA Strategy Explained | Strategy | Timeframe | Target | Best Trading Setup for Beginners

Main summary

Key takeaways

Finance

Finance-focused summary (9–20 EMA trading strategy)

Market / instruments mentioned

  • Cryptocurrencies: Ethereum (ETH), Solana (SOL), Bitcoin (BTC)
  • Indicator / strategy: 9 EMA and 20 EMA (9/20 EMA) crossover
  • Core concepts / tools:
    • Trend riding
    • Support / resistance
    • Neckline / “change of character” (smart money concept wording)
    • ATR (Average True Range)
    • Volume / volume spike
  • Risk framework referenced:
    • Stop-loss placement and adjustment
    • Targeting the nearest demand/supply zone
    • Avoiding range-bound markets

Key claims / performance numbers (as stated)

Note: Several numeric values appear inconsistent due to subtitle/formatting issues.

  • Claimed profits across three trades in one day:
    • Approximately ₹11,000, $3,500, and $2,000
    • A total profit is also stated as around $1.4 million, which appears inconsistent with the smaller trade profits quoted.
  • Mentioned a prior losing day:
    • Loss around ₹1 lakh
    • About ~$11,400
  • ETH trade results:
    • Profit around ~$170
    • Mentions charges ~ $100
  • SOL / BTC trade results:
    • Profit stated around ~$2,000 (BTC) and ~$3,400 (combined/another trade reference)
    • Exact mapping is unclear due to subtitle ambiguity.
  • Charges / fees discussion:
    • Says charges are relatively similar across different trade durations (intraday vs swing).
    • Mentions profit after charges (e.g., “profit will be Rs 144 lakh”) and suggests that adding charges to losses could worsen net outcomes (some numeric parts appear missing/garbled).
  • Timeline / timeframes:
    • Primary trade on 1-hour timeframe
    • Follow-on trades on 15-minute timeframe
    • BTC described as executed in 5–15 minutes because it was live

Methodology / step-by-step framework (9/20 EMA trend strategy)

1) Use one core strategy

  • Only use: 9 EMA / 20 EMA crossover

2) Trend qualification (“trend riding” logic)

  • If price is below the 9/20 EMA → treat as downtrend; do not aim for long-term longs.
  • If price breaks and holds above the 9/20 EMA and momentum resumes → consider longs as a trend change.

3) Avoid range-bound / “stuck” markets

  • When price chops around the EMAs (frequent crossing):
    • Stop-loss hunting becomes likely
    • Strategy explicitly notes this drawback
    • Suggests reducing quantity or avoiding trading

4) Confirmation requirement (before entry)

  • A mistake mentioned: entering against the trend without confirmation
  • Look for a combination of confirmation elements, such as:
    • W-type pattern / support reaction below the 9/20 EMA
    • Neckline formed by price action
    • “Change of character” (smart money concept phrasing)
    • Close above the 9/20 EMA plus additional confirmation (e.g., a large candle / breakout attempt)

5) Execution and risk management

  • Stop-loss logic:
    • Place stop-loss below a swing low
    • Mentions initial stop planning using ATR, then refining after observing trade behavior
  • Stop adjustment:
    • Move stop to reduce risk as price advances (e.g., to the low of a later candle once trend direction becomes clearer)

6) Target setting (profit-taking discipline)

  • Targets near the nearest resistance (supply) / demand zone
  • Avoid “hope-based” extensions—exit when logical levels are reached
  • For intraday trades, targets may be more conservative (e.g., until the breakout / next nearby level) due to chop risk

Explicit recommendations / cautions

  • Never enter without confirmation.
  • Do not expect immediate tops/bottoms right after the first crossover—wait for structure and breakout behavior.
  • In range markets, reduce trade size or avoid trading because EMA flips increase stop-outs.
  • Targets must be logical (nearest supply/demand), not arbitrary.
  • Fees/charges matter: overtrading (too many scalps) can amplify losses even when the stated risk-reward is similar.

Notes on trading frequency / performance attribution

  • Better results are attributed to:
    • Fewer, higher-quality trades
    • Letting trades ride trend on the right timeframe:
      • 1H for the main trade
      • 15M and shorter for follow-through
  • Warning: overtrading (frequent entries on 1–3–5 minute charts) increases “pressure” and makes charges more damaging, potentially flipping outcomes.

Disclaimers

  • No clear “not financial advice” or formal regulatory disclaimer is visible in the provided subtitles.

Presenters / sources mentioned

  • Presenter: The speaker is the creator of the video/channel (name not shown in subtitles)
  • Live channel name: “Trade vs Burner”
  • Platform / community mentioned: Delta Exchange (link referenced in description)
  • Access method mentioned: a Google Form
  • No other specific external research sources are cited.

Original video