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The Simplest Day Trading Strategy for Beginners (with ZERO experience)

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Key takeaways

Finance

Finance-focused summary (day trading strategy for beginners)

Core strategy: “Gap & Go” (focus on leading gappers/gainers)

  • Each day, scan the market for stocks that gap up (open higher than the prior close), typically driven by news/catalysts.
  • Trade the leading percentage gainer(s), often the top 2–3.
  • Aim for 1–2 trades/day, balancing meaningful upside with controlled risk.

Why this stock type (per the speaker)

  • A beginner issue is trading choppy stocks in narrow ranges, which can create an inverted profit/loss profile (losers bigger than winners) and poor accuracy.
  • A better approach is focusing on volatile names with catalysts and large daily percentage moves, because even a small portion of the move can be profitable.

Catalyst / supply-demand framework (explicit logic)

The speaker’s view is that big movers happen when there’s an imbalance between supply and demand, driven by:

  • Demand from news
    • Example: partnership news with Walt Disney.
  • Retail speculation / lower affordability barrier
    • Lower-priced stocks often attract more speculative retail interest.
  • Low float = low supply
    • Example research: low share availability increases the chance of sharp price moves.

Case study and specific numbers (example trade)

Stock: PIK

  • Described as a “200 mover”
  • Reported daily move:
    • Up ~180% (also described as “up 200%”)
  • Price context:
    • Prior trading level: about $1.84
    • High: over $6
  • Catalyst / news:
    • Reported +75% on a partnership deal with Walt Disney
  • Float (supply) data (SEC filing):
    • As of Dec 22: float = 7.6 million shares
  • Presenter performance claims:
    • “Up over $12,000”
    • Specifically: up ~$13,700 on PIK
    • Claimed they captured only a “sliver” of the move, but that sliver was enough for profit.

Additional referenced tickers

  • TCAT
    • Appeared on the scanner (no detailed trade numbers provided).
  • FB (Facebook)
    • Used as a contrast example of a smaller move (mentions ~2.24% green), framed as not having enough “meat on the bone” for beginners.
  • GME (GameStop)
    • Mentioned as an exception due to a unique catalyst
    • Float cited: ~76 million shares (higher than the usual guideline)

Methodology / step-by-step framework (as presented)

Step 1: Daily scanning

  • Look for leading gappers/gainers each morning using the scanner.

Step 2: Screen for the right kind of stock

  • Prefer lower-priced stocks (general target: $2–$20).
  • Prefer low float (rule-of-thumb: < 20 million shares).
  • Heuristic:
    • “2020” = $20 price, 20 million float.

Step 3: Use chart timeframes to plan

  • Review:
    • Daily chart (prior highs/resistance)
    • Intraday charts: 5-minute and 1-minute
    • Sometimes: 10-second

Step 4: Pick the entry setup

  • For beginners, the safest entry type described is:
    • The first pullback after a fresh breakout
  • Entry example (on PIK):
    • Pullback to the VWAP (volume-weighted average price) and the 9 moving average
    • Then enter on the first 5-minute candle making a new high

Step 5: Avoid “overtrading”

  • Don’t take dozens of trades per day.
  • Speaker suggests aiming for one good trade/day, potentially twice/day after building consistency.

Step 6: Practice risk reduction

  • Use a simulator first before trading with real money.

Key guidance / recommendations / cautions

  • Trade plan expectation: aim for 1–2 trades per day.
  • Don’t blindly follow others: explicit caution to not follow blindly.
  • Start slow + use a simulator: emphasized explicitly.
  • Timing caution on pullbacks:
    • Early pullbacks (e.g., first pullback) are framed as safer.
    • Later pullbacks (2nd/3rd) are framed as more risky, including references like “topping tail.”
  • Trading vs investing distinction:
    • This is presented as day trading (buy/sell), not long-term investing.

Performance metrics mentioned

  • Win-rate framing: even if only ~50% accurate, the approach could still be profitable if risk is controlled (general statement, not a proven metric).
  • Specific example outcome:
    • ~$13,700 profit claimed on PIK while capturing only part of an ~180%–200% move.

Disclosures / disclaimers

The presenter states:

  • Results are not typical, and their performance is not typical.
  • Trading is risky; beginners often lose money.
  • Use a simulator before risking real money.
  • Do not blindly follow anyone—learn to “hunt for yourself.”

Presenters / sources

  • Ross from Warrior Trading (presenter)
  • References / materials:
    • Warrior Trading / Warrior Pro curriculum
    • warriortrading.com (implied source of curriculum)

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