How To Start Day Trading in 2026 (full training)

Finance-Focused Summary (Day Trading Training: 9 Steps)

Disclaimers / Cautions

• “My results are not typical.”
• “Trading is risky.”
• Practice first in a simulator.
• If not using a simulator, use a tiny share size to reduce emotional pressure.
• Avoid trading out of desperation/scarcity to make money immediately.

Tickers / Instruments / Assets Mentioned

• Stocks (examples): Ford (F), GLTO, MLGO, UPXI, SLRX, YCBD (example), plus a generic Ford Motor Company reference.
• Themes / sectors: crypto, biotech, AI (described as “hot sectors,” and noted as cyclical).
• No explicit mentions of ETFs, bonds, FX, or commodities in the provided subtitles.

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Framework / Methodology (Step-by-Step)

The Nine Steps (High-Level)

1. Alpha Phase (Sim Trading) Practice extensively with cost-controlled proof of concept.

2. Risk Management Build risk control using stock quality plus profit/loss math.

3. Stock Selection Using “Five Pillars” Detailed later in this summary.

4. Candlestick Chart Literacy Learn sentiment/momentum and indecision cues.

5. One Simple Intraday Pattern Entry: pullback + first new high (on a 1-minute chart).

6. Execution Using Level 2 Understand bids/asks and use limit orders/hotkeys.

7. Track and Analyze Metrics Use your trade history to find your personal “sweet spot.”

8. Beta Phase (Dry Run for Going Live) In simulation, take one “real-money style” trade per day for 10 days.

9. Transition to Real Money Keep the same small size; expect early losses; scale only after proof.

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Key Details & Numbers

Step 1: Alpha Phase (Sim) / Position Sizing

• If using real money instead of a simulator: start with 1 share (or another tiny share size).
• Simulator may require real-time data.
• Examples of simulator/platform mentions:
  • Webull
  • Charles Schwab (simulator)

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Step 2: Risk Management Concepts (Profit-to-Loss)

• Uses a break-even win-rate relationship:
  • If you risk $2 to make $1, you need a 66% win rate to break even.
  • If you risk $1 to make $2, you need a 33% win rate to break even.
• Setup filter: aim for trades that can potentially double risk (roughly 2:1 reward-to-risk).
• Clarifies risk is not position notional—it’s the price distance from entry to stop.

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Step 3: Stock Selection (Scanner Logic)

• The scanner finds leading gainers in US stocks (adaptable in theory, but author focuses on US stocks).
• Relative Volume Rule
  • Trade stocks with ≥ 5x average volume
  • Average is compared to the last 50 days.
• Also requires high total volume Higher liquidity supports faster execution and larger share sizing.

Additional Filters

• Gapping up: author prefers stocks that gap up at least ~10%.
• Time window emphasized
  • Often starts around 7:00 a.m.
  • Better performance typically between 7 a.m. and 10 a.m.

Price / Float Targeting

• Typical price range: $2 to $20
• “Even better” sweet spot: $5 to $10
• Float constraint: generally float < 10 million shares (lower preferred)
• Strategy intent: small account growth, with limits to avoid liquidity problems in small caps.

Example Big Mover

• MLGO: described as moving +432% on 300M+ shares of volume (example profile).

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The Five Pillars of Stock Selection (Explicit)

1. Stock is already up at least 10% on the day.
2. 5x relative volume vs average over the last 50 days.
3. News catalyst (breaking news; sectorwide catalysts are mentioned as riskier).
4. Price $2–$20 (best $5–$10).
5. Float < 10 million shares (lower preferred).

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Step 4: Candlestick Concepts (What to Look For)

Session Context

• Daily candles reflect 9:30 a.m. to 4:00 p.m.
• Candlestick components:
  • Open / Close = body
  • High / Low = wicks/shadows

Sentiment / Momentum Cues

• Long-body candles = bullish momentum.
• Momentum should ramp up, not taper off after news.
• Doji (indecision) used to spot potential pivots
  • Gravestone doji
  • Dragonfly doji
  • Long-legged doji
• Hammer bullish in a downtrend.
• Shooting star bearish reversal cue.
• Tweezer top bearish; tweezer bottom bullish.

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Step 5: The One Simple Pattern (1-Minute Entry/Exit Rules)

Timeframe: 1-minute

Setup (after initial surge)

Wait for:

• a squeeze up, then a pullback

“Moment of Truth” (trend change)

Prefer:

• a green candle close, and/or
• the first candle that makes a new high vs the prior red candle

Entry Trigger

• Buy immediately when the stock breaks the high of the pullback/red candle.

Exit / Stops

• Max loss (stop): at the low of the pullback candle
  • Example risk given: 10 cents per share.

Profit Target

• First target: retest of the high of day
• Example expectation: make at least 20 cents vs entry to achieve approximately 2:1 risk/reward.

Winner Management

• Don’t always cap winners; hold until a valid exit indicator:
  • First candle that closes red
• Emphasizes: wait for a valid exit indicator.

Volume Behavior (supporting confirmation)

• Increasing volume on green candles.
• Volume dips during red pullback, then returns on next green candles.

Examples

• UPXI referenced as an example walkthrough.
• Another pop quiz chart described similarly:
  • entry at first new high
  • stop at pullback low
  • target at high of day

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Step 6: Execution (Level 2, Limit Orders, Hotkeys)

Level 2 Usage

• Read bids/asks (posted buyer/seller prices).
• In fast news moments:
  • Author buys from the ask (to avoid missing the move),
  • then may sell to the bid when strength appears (to capture better price).

Order Type Constraints

• Uses limit orders (especially in pre-market).
• Explicit caution: market orders don’t work pre-market / after hours.

Hotkey Setup (simplified for beginners)

• Shift+1 = buy (example described buying 1,000 shares)
• Control+Z = sell full position on the bid
• Baseline concept: one button to buy, one button to sell.
• Mentions more advanced sell hotkeys (e.g., partial sells).

Example Micro-Structure

• One example notes an 8-cent bid/ask spread.

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Step 7: Metrics Tracking + Performance Numbers (Claims)

Author claims (example figures from the training context):

• Average accuracy around 71% (over the last 12 months, per their example)
• Average daily gain about $28,000 (last 12 months)
• Profit scale:
  • Average winner: ~$3,500
  • Average loser: ~$2,000
• Total profit example stated: ~$6.3 million

Additional illustration:

• Average winners measured in cents/share: ~18 cents per share
• Many trades on good days: 10–20 trades/day

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Step 7/8: Finding Your Niche (Historical Case Study Example)

• Example month: March 2024 was poor:
  • Made $20,000 (described as not a good month)
  • Lower accuracy
  • Avg winners $742, avg losers $1,100
• Weaknesses identified:
  • Worse on Mondays and Tuesdays (hypothesis)
  • Losing on lower and higher priced stocks
  • Best price area: $2–$10
  • Time-of-day weakness: not doing well early/late
• Action taken:
  • Focus on $2–$10 stocks
  • Focus on 7 a.m. to 10 a.m. window
• Result in April (as stated):
  • Made ~twice as much money
  • Did well on Mondays/Tuesdays
  • Slower on Fridays

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Step 8: Beta Phase “Dry Run” (10-Day Rule)

• Take one trade per day in a simulator that you would take with real money.
• Do this for 10 days.
• Graduation rule:
  • If green over the 10 trades, you’re “ready to transition to real money.”
  • Not required to win every day, but net positive over the window is the standard.

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Step 9: Transition to Real Money (Risk Controls + Expected First Loss)

• “Absolutely nothing changes” in the strategy on first real-money phase.
• Start with 100 shares (small size), using the same sizing as the dry run.
• Explicit expectation:
  • On trade number one, you’re going to lose.
• Example risk guidance:
  • Risk about $10 on day one (“One trade a day, 10 bucks”).
  • If tolerance is higher, author mentions possibly $1,000/month as a comfort level, but emphasizes emotional conditioning to absorb losses without abandoning the system.

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Presenters / Sources / Tools

• Presenter: Ross Cameron
  • Described as a full-time trader
  • “Warrior Trading” referenced
  • Historically funded first account in 2001
• Company / platform mentioned:
  • Warrior Trading (warriortrading.com)
  • Webull
  • Charles Schwab
• Tools referenced:
  • A stock scanner
  • A trade reporting/metrics tool (specific product names not fully identified in the subtitles)