Summary of "How I Made $1,000,000 in 51 Days of Day Trading (Full Training)"
High-level result
- Presenter: Ross Cameron (Warrior Trading).
- Claim: made over $1,000,000 in 51 days of day trading (January → March), crossing $1M around March 17–18.
- Ross’s cumulative trading P/L cited in the presentation: > $12.5M (account performance independently audited by a CPA).
Performance metrics (51‑day challenge)
- Total trades: 936
- Accuracy: 71.4% (Ross references ~72% in past challenges)
- Average winner (per trade): $1,800
- Average loser (per trade): $761
- Average holding time — winners: ~3 minutes; losers: ~2 minutes
- Average share P/L — winners: $0.11/share; losers: $0.08/share
- Average trade price: $6.56
- Average winning share size: ~16,000 shares (avg winning position ≈ $107,000)
- Average losing share size: ~9,500 shares (avg losing position ≈ $62,000)
- Hot-streaks / red days: 76 consecutive green days (over $1.66M); only 7 red days over the last 9 months
- Outlier single-day results: best single-day green up to ~$475K; worst single-day red up to ~$275K (example: Feb 4, 2021)
- Example illustrative daily P/Ls mentioned: ~$12,227 on an OSR trade; ~$98,754 on an ATNF day
Assets, tickers and instruments
- Primary instrument: stocks — emphasis on small-cap and low-priced shares
- Example tickers mentioned: OSR, ATNF, MLGO, IMTE, Ford Motor Company (F)
- Sectors highlighted: biotech / pharma (clinical trials, FDA catalysts)
- Accounts / instruments: cash account, margin account, leveraged buying power; offshore brokers discussed as a workaround for the PDT rule
- Tools referenced: DayTradeDash (scanner/platform), Warrior Trading community, Ross’s trade journaling/metrics database
Key trading philosophy & risk rules
- Trading is risky; risk management is primary.
- Minimum target reward-to-risk (R:R): 2:1 as a baseline — Ross avoids trades with less than ~2:1.
- Illustrative break-even math: 2:1 → break-even accuracy ≈ 33%; 1:1 → 50%; 1:2 (risk $2 to make $1) → ≈ 67%.
- Stop placement: low of the pullback (this is the start of the risk calculation).
- Capital deployed vs. risk: the dollar capital deployed can be large, but actual risk equals the distance between entry and stop — not the full position value.
- Behavioral rules: cut losers quickly; do not add to losers; add to winners (double into winning positions once a cushion exists); avoid revenge trading.
- Daily max-loss: typically set equal to the daily profit goal (Ross’s rule of thumb).
Stock selection criteria (five filters)
- Relative volume: day volume ≳ 5× the 50‑day average.
- Pre‑market / after‑hours strength: stock up in pre‑market (Ross often looks for >2% pre‑market gappers; many top trades are 10%+).
- Price range: preferably $2.00–$20.00 (often focuses $2–$10, but up to $20).
- Float: under ~10 million shares (lower float → larger supply/demand imbalances).
- Catalyst / news: a genuine news event (earnings, clinical trial/FDA, press release) that explains the volume and gap.
Entry / exit methodology (patterns & candlesticks)
- Core pattern: bull-flag / “buy the dip” after a squeeze:
- Wait for an initial squeeze (large green candles on high volume).
- Wait for a pullback that holds roughly ~50% of the move.
- Entry: buy the first candle after the pullback that makes a new high (the first new‑high candle).
- Stop: low of the pullback.
- Primary profit target: retest of the high-of-day (helps ensure ≥ 2:1 R:R).
- Candlestick awareness: watch for dragonfly doji, bottoming tails, tug‑of‑war wicks — these inform exits or caution.
- Timeframes: primarily short intraday — 1‑minute charts most common; 5‑ and 15‑minute used; Ross sometimes trades 10‑second in specific contexts.
Position management and scaling framework
- Starter position: take a starter size at entry; if trade is working, add to winners (often double) and move stop to breakeven.
- Never add to losers; cut quickly.
- Market-condition sizing (practical rule Ross uses):
- Start the day at 25% of “full” position until you reach 25% of the daily goal (to build a cushion).
- If you reach the 25% daily goal, size up to full position; if not, stay at quarter size or stop for the day.
- If you give back the cushion, size down again.
- If no trade in ~30 minutes, consider calling it a day.
- Scaling path suggested for traders starting small:
- Learn a proven strategy.
- Sim trade ~90 days to build habits/metrics.
- Fund a small real account (respect the PDT $25K rule or use offshore brokers).
- First 1,000 trades: average ~160 shares (ramped gradually: 10 → 20 → 30 → … → 160).
- Second 1,000 trades: increase share sizes (250 → 500 → 750 → 1,000 → 1,600), target ≈ $100K profit.
- Third 1,000 trades: scale up to large sizes (e.g., ~16,000 shares) to reach multi‑hundred‑thousand / million targets.
- Liquidity ceiling: scaling up has limits due to liquidity and diminishing returns; you can scale down easily but must respect liquidity constraints when growing.
Daily routine / process
- Morning: scan pre-market with scanners (DayTradeDash) for top gappers, relative volume, news catalysts, and low float.
- Wait patiently for the first pullback on qualified stocks; enter as the pattern forms.
- Keep holding times short — winners are usually realized within minutes.
- Focus on fewer, higher-quality setups rather than many low-quality trades.
Explicit examples (illustrative)
- Example R:R: entry ~$7.00, stop $6.50, target $8.00 → ~2:1 R:R. With 15,000 shares: potential +$15,000 / risk −$7,500.
- Avg. challenge trade math: avg price $6.56 × ~16,000 shares → $0.11/share → ~$1,800 profit on average winners.
- Example moves cited: a stock moving $2.50 → $5.50 in ~20 minutes (OSR); another moving $1.80 → $4.50 in ~10 minutes.
Common failure modes / cautions
- Two leading causes of failure:
- No strategy (random/speculation).
- Lack of discipline (failing to follow rules; emotionally driven trading).
- Typical novice errors: selling winners too quickly, holding losers too long, adding to losing positions, trading low‑quality setups.
- Practical cautions: start in a simulator, begin with small size, respect stop losses, and be aware of the PDT $25,000 rule if using margin with U.S. brokers.
- Ross’s disclaimer: his results are not typical; practice in simulator before risking real capital.
Tools, resources and recommended reading
- Tools: DayTradeDash scanners, Warrior Trading community and live broadcasts, Ross’s trading metrics/journaling software.
- Ross’s class resources (PDFs): trading plan template, stock selection filter set, small‑account worksheet.
- Books / media recommended:
- Ross Cameron — How to Day Trade: The Plain Truth
- Annie Duke — Quit; Thinking in Bets (decision making)
- Shawn Achor — The Happiness Advantage (trading psychology)
- Gary Dayton — Trade Mindfully
- Suggestion: full training on candlestick charts and live watching via a community trial.
Disclosures / disclaimers
Results are not typical. Ross has an audited track record but does not guarantee others will achieve similar results. Practice in a simulator before risking real capital. Day trading is risky and requires discipline, good risk management, and time to build skill. Ross stated he has no affiliate relationship with one platform he demonstrated.
Presenters / sources cited
- Presenter: Ross Cameron (Warrior Trading)
- Software / tools referenced: DayTradeDash (scanner), Warrior Trading community and metrics system
- Books/authors cited: Ross Cameron, Annie Duke, Gary Dayton, Shawn Achor
Bottom line — actionable takeaways
- Make risk management the priority: target at least 2:1 R:R and set stops at the low of the pullback.
- Use the five stock filters (relative volume, pre-market strength, price range, float, catalyst) to restrict opportunities to high‑quality setups.
- Trade a repeatable entry/exit pattern (bull flag / buy‑the‑dip), use a measured starter size, add only to winners, and never add to losers.
- Use position sizing tied to daily goals and market conditions; sim‑trade extensively before scaling.
- Be conscious of liquidity limits when scaling and keep a written plan with stop rules, daily goals, and position sizing rules.
Category
Finance
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