Video summary

High Accuracy 1 Minute Scalping Strategy (Full Training)

Main summary

Key takeaways

Finance

Trading style / objective

  • Teaches a 1-minute / 5-minute “scalping” day-trading strategy designed to capture short-duration bursts of intraday volatility.
  • Uses a 10-second chart as a supplement.
  • Focuses on high frequency participation during strong momentum phases, while avoiding the “backside” (pullback/decline portion of a move after trend breaks).

Instruments / tickers mentioned

  • ZPP (stock): primary focus of the day’s case study
  • ZAP (stock): referenced as another example
  • AMVS (stock): referenced as another example
  • GameStop: referenced in performance context (winners/losses)

Additional “hot sector” examples mentioned:

  • AI
  • Pharmaceuticals
  • Chinese AI

No ETFs/bonds/crypto mentioned.

Step-by-step framework (explicit methodology)

  1. Find a volatile stock (via real-time scanners)

    • Minimum threshold: Relative Volume ≥ 5x
      • Defined as volume 5× higher than the 14-day average
    • Additional demand check: stock should be up at least 10% on the day (proxy for demand/high urgency)
    • Note: continuation setups may sometimes fall slightly below the threshold due to rising average volume.
  2. Identify the catalyst

    • Preferred: a clear news catalyst such as:
      • earnings
      • clinical trial results
      • FDA approvals
      • new contract
    • If no obvious catalyst:
      • treat as continuation momentum
      • verify whether earlier news triggered the move
    • Mentions “multiplier” headline keywords and attention drivers:
      • trending keywords like AI
      • “Co”
      • big-name company keywords (examples: Amazon, Apple, Google, Nvidia, Walmart) that can attract faster algorithmic attention
    • Other volatility drivers mentioned:
      • recent IPO
      • special purpose acquisition company (SPAC)
      • reverse split
  3. Technical setup for entry/target

    • Looks for realistic upside capture:
      • first target: 15–20 cents, aiming for roughly ~1:1 risk/reward
    • Uses chart patterns, notably:
      • micro pullback
      • first pullback
      • “first candle to make a new high” after a pullback (on 1-min and 5-min charts)
    • Poses the question: “Can it go 50 cents or more?”
    • Caution: if expected move is small (especially after factoring spreads), the trade may not be worth taking.
  4. Tape / Level 2 confirmation + entries/exits

    • Uses Level 2 (order book) and time & sales (“reading the tape”).
    • Key concept: breakouts/bailouts driven by buying volume surging as:
      • shorts cover
      • orders execute
    • Watches for “walls” / stacked liquidity at psychological levels:
      • half dollars / whole dollars (examples mentioned: $6.5, $7, $7.5, $8)
    • Exit triggers:
      • green candles slowing / getting smaller (exhaustion)
      • topping tails / shooting star / doji-style reversal candles
      • large sellers on the tape / Level 2
      • hard exit when max loss is hit
  5. Track performance metrics and adjust

    • Reviews:
      • accuracy
      • average winners
      • average losers
      • profit per trade
    • Emphasizes rule adherence and “leaning into what works, abandoning what doesn’t.”

Key numbers, thresholds, and performance metrics

Setup thresholds & requirements

  • Relative Volume: target ≥ 5x (vs 14-day average)

    • Example values mentioned:
      • AMVS relative volume ~10.39
      • ZPP relative volume ~4 (treated as acceptable due to continuation context)
  • Daily price move / demand: stock should be up ≥ 10% on the day

    • Examples mentioned:
      • AMVS up around ~17% (implied)
      • ENVS cited up 52% in an example segment
      • ZAP mentioned as hitting ~100% intraday

Pricing/risk preferences

  • Prefers stocks priced between $1 and $20
    • Notes inverse relationship: higher price ⇒ higher volatility risk / harder risk control.
  • Float constraint:
    • trades best when float < 10 million shares (float = shares available to trade)

Profitability metrics (from presenter analytics)

  • Accuracy: 68.5%
    • Based on 9 years of trading history loaded into their analytics tool
  • Average winners: about 14 cents/share
    • Average share size: ~10,000 shares
    • Average profit per trade: ~$1,400
  • Average losers: revised to about 18 cents/share
    • Average winner/loser dollar relationship described as approximately equal in dollar terms
  • Interpretation principle:
    • With accuracy above 50%, the strategy can be profitable if winner/loser dollars are roughly balanced.
    • Break-even examples:
      • risk $1 to make $1 → need 50% accuracy
      • risk $1 to make $2 → need 33% accuracy

Risk management / stop sizing

  • Uses a tight “arbitrary” stop around ~10–15 cents
    • Mentions average loser target around ~14–15 cents
  • Strong caution about bid-ask spread
    • Example: ~13 cents spread with prices around $15.88–$15.95
    • Market order flipping can cause 5–10 cents loss due to spread alone
  • Explicit recommendation:
    • If spreads prevent keeping risk tight, do not trade
    • Example: ZPP trial abandoned due to difficulty managing stops vs spreads
  • “Minimum move” requirement:
    • scalp trades need potential upside around ~30 cents to be worth it (spreads/slippage + exit timing)

Explicit trade logic (examples and recommendations)

  • Do not overstay the trade
    • Enter aggressively on the front side of momentum.
    • After signals like EMA20 cross / break below 20 EMA / MACD crossover, stop trading that name and wait for the next setup.
  • Walk-away discipline
    • Example: after making $10,000 in roughly under 2 hours in the morning session, they stop for the day (double daily goal).

Order-book / Level 2 breakout example (ZPP)

  • Watches a seller “wall” around $7.75 / the $7.75–$8 area.
  • Enters earlier than the level break, citing:
    • expected micro pullback behavior
    • order book liquidity
  • Risk example:
    • max loss defined around a buyer on the bid (example buyer around $7.50)
    • risked about 10 cents/share
    • multiplied by ~8,000 shares ⇒ about $800 risk
  • Notes short sellers may be forced to cover if price breaks higher, accelerating the move.

Tools / operational requirements

  • Real-time volatility scanner (subscription)
    • Example: “Day Trade Dash scanner” on Warrior Trading
  • Level 2 market data
    • Available through brokers; may require extra subscription
  • Hotkeys for rapid execution
    • Shift-based buy hotkeys with slippage offset
    • Ctrl+Q cancels open orders
    • Ctrl+Z / Ctrl+X sells at bid (full/partial) with slippage assumptions
  • Analytics platform
    • TradingView used for performance aggregation (example shown: $12.7M gross profit)

Disclosures / cautions mentioned

  • Trading is risky.
  • Results are not typical.
  • Recommends practicing in a simulator before using real money.
  • Scalping success is contingent on:
    • risk management
    • executing correctly

Presenters / sources

  • Presenter/source mentioned:
    • Warrior Trading / “High Accuracy 1 Minute Scalping Strategy (Full Training)” instructor (no personal name clearly stated)
  • Tools / platforms:
    • Warrior Trading (Day Trade Dash scanner, classes/curriculum)
    • TradingView (analytics)
    • News sources mentioned as alternatives:
      • MarketWatch
      • Google
      • Yahoo Finance
  • Example tickers used in the material:
    • GameStop, ZPP, ZAP, AMVS, ENVS

Rate this summary

Your feedback will help improve summaries.

Improve this summary

Reprocess with a stronger model when the summary feels incomplete or inaccurate.

Pro

Translate summary in another language

Pro

Ask questions to this video

Chat for follow-up questions, clarifications, and source-backed answers.

Coming soon

Share this summary

Original video