Video summary
How To Start Day Trading in 2026 (full training)
Main summary
Key takeaways
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.
Framework / Methodology (Step-by-Step)
The Nine Steps (High-Level)
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Alpha Phase (Sim Trading) Practice extensively with cost-controlled proof of concept.
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Risk Management Build risk control using stock quality plus profit/loss math.
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Stock Selection Using “Five Pillars” Detailed later in this summary.
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Candlestick Chart Literacy Learn sentiment/momentum and indecision cues.
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One Simple Intraday Pattern Entry: pullback + first new high (on a 1-minute chart).
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Execution Using Level 2 Understand bids/asks and use limit orders/hotkeys.
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Track and Analyze Metrics Use your trade history to find your personal “sweet spot.”
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Beta Phase (Dry Run for Going Live) In simulation, take one “real-money style” trade per day for 10 days.
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Transition to Real Money Keep the same small size; expect early losses; scale only after proof.
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)
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.
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).
The Five Pillars of Stock Selection (Explicit)
- Stock is already up at least 10% on the day.
- 5x relative volume vs average over the last 50 days.
- News catalyst (breaking news; sectorwide catalysts are mentioned as riskier).
- Price $2–$20 (best $5–$10).
- Float < 10 million shares (lower preferred).
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.
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
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.
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
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
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.
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.
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)
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