The Trading Industry Will Hate Me for This FREE 10+ Hour Course (top 0.1% prop firm trader)

Finance-Focused Summary

The video introduces a trading course centered on day trading Nasdaq futures with a time-based ICT-style Power of Three (PO3/AMD) model. The presenter emphasizes process, selectivity, risk controls, data collection, and prop-firm account management. Much of the course also promotes the presenter’s paid mentorship; performance figures and testimonials are self-reported in the video and not independently verified.

Strategy and Trading Framework

The presenter describes PO3 as three phases: accumulation (consolidation), manipulation (a liquidity sweep that forms a high- or low-timeframe candle’s wick), and distribution (the subsequent expansion). The central setup is to use a lower timeframe to trade the expected move in a higher-timeframe candle.

• Set context first: Use weekly and daily price action, candle open/high/low/close, session profiles, and liquidity to form a directional bias. The presenter also uses ES/NQ relative strength, or SMT, as a possible confirmation.
• Focus on specific time windows: The main setup is the 4-hour PO3 around 10:00 a.m. Eastern, when a new 4-hour candle opens 30 minutes after the U.S. stock-market open. He also identifies 2:00 p.m. Eastern as another potential 4-hour setup. He advises against treating PO3 as an all-day pattern.
• Wait for a point of interest and confirmation: The preferred manipulation target is the nearest untouched 15-minute fair value gap (FVG); he says a 5-minute gap may be used when there is no suitable 15-minute gap. If no gap is available, he looks for a liquidity sweep. He generally waits for an inversion FVG (IFVG) or a change in state of delivery (CISD) rather than entering solely because price touched a level.
• Define risk at invalidation: The usual stop is beyond the high or low of the manipulation—the point where the PO3 thesis is invalidated—not a fixed number of ticks. He cautions against widening stops after entry.
• Plan targets and manage the position: Targets are selected from liquidity, higher-timeframe FVGs, or extensions. He describes taking partial profits and moving stops to breakeven or trailing them after price reaches planned levels.
• Rank setups: He advocates prioritizing A/A+ trades, sometimes taking lower-ranked setups at reduced risk, and avoiding poor-quality trades. The recurring principle is base hits for consistency; larger “home runs” are less frequent.
• Test and refine: He recommends journaling and tracking trade-level results, including win rate, risk/reward, errors, and P&L. He suggests reviewing at least 100 trades and collecting 15–30 days of data before refining a model; he says he backtested and forward-tested his own model over hundreds or thousands of observations.

Risk Management and Trading Behavior

• He recommends fixed risk limits, position sizing based on the stop distance and account risk, daily and weekly loss caps, and predefined rules for when to stop trading.
• His personal rules include a maximum of two trades per day and two losses per day, after which he stops. Elsewhere, he presents 0.5% of account size per trade as a maximum in a basic trading plan. These are the presenter’s guidelines, not individualized advice; his own risk and account allocation vary with experience and scale.
• He warns against revenge trading, overleveraging, changing rules after a loss, taking trades from boredom or FOMO, and increasing size after a winning streak.
• He cautions beginners against top- or bottom-ticking without substantial experience and account capacity, and against copying the risk behavior of traders with multiple funded accounts.
• His broader principle is to prioritize capital preservation and accept that even a valid setup can lose.

Prop Firms and Performance Claims

The presenter argues that trading skill is only part of trading prop-firm accounts: traders also need to understand evaluation rules, payout caps, consistency requirements, account costs, drawdowns, and how to manage risk across accounts and firms. He recommends scaling gradually, diversifying across firms, and learning each firm’s rules rather than buying many evaluations prematurely.

He cites Topstep statistics for a sample of 100,000 traders: 12.4% allegedly pass an evaluation, 3.5% receive at least one payout, and 0.1% reach the live-funded stage. Elsewhere he cites a 0.3% live-funded figure, so his figures are inconsistent within the video.

The presenter reports that he:

• Took about 2.5 years to become profitable after beginning to trade in 2021.
• Has more than $100,000 in verified prop-firm payouts and says he generated over $150,000–$160,000 in prop-firm P&L over four months.
• Scaled from roughly $10,000 per month to $50,000 per month over a few months, and reports monthly results ranging from $25,000 to $70,000 at different points.
• Gives examples of individual days of $16,000 and $25,000, and describes a holiday-period trade with a planned 2R target and other, more extended targets.

These are the presenter’s claims and examples, not audited results. He also presents student payout and profitability testimonials, which likewise are not independently verified in the subtitles.

Markets, Assets, and Instruments Mentioned

• Futures and indices: Nasdaq futures (NQ, MNQ), ES (S&P 500 futures), Nasdaq-100/NASDAQ, and DXY.
• Stocks and options: Nvidia (including calls), AMD (including a bullish price prediction), Meta, Microsoft, and Lululemon. The presenter refers to the Magnificent Seven (Mag 7) as important Nasdaq earnings drivers.
• Crypto: Bitcoin, Ethereum, XRP, and Solana; he also mentions speculative meme coins.
• Other markets: Euro/USD and other forex pairs, cattle futures, and corn futures.
• Prop-firm providers/platforms mentioned: Topstep, Take Profit Trader, Apex, Alpha, Elite Trader Funding, Tradeify, Lucid, My Funded Futures, and Blue Guardian.

Macro and Event-Risk Guidance

The presenter says technical analysis should be considered alongside economic releases, company earnings, and current news:

• He discusses CPI, FOMC/Federal Funds Rate, NFP, PPI, retail sales, unemployment claims, and Fed-speaker schedules. He generally cautions against trading immediately before major releases and says the day before FOMC can be especially choppy; he also describes trading some event days selectively.
• He advises avoiding bank holidays because of typically lower market participation and volatility.
• He recommends checking major-company earnings, particularly Mag 7 reports, because results from firms such as Nvidia, Meta, and Microsoft may affect the Nasdaq.
• For news, he names Forex Factory, Walter Bloomberg, Unusual Whales, and Financial Juice. He advises filtering out irrelevant social-media headlines and paying particular attention to tariff, China, and major political developments.
• He names CME FedWatch for rate expectations and the Nasdaq earnings calendar for company reporting dates. He says to consider fundamentals as context, not as a reason to override a clear setup automatically.
• Fed probability figures shown in the video—including 92.2% for a rate pause in one snapshot and 97% for a cut in another—are time-specific, not current forecasts.

Disclosures and Cautions

The video is also a sales funnel for the presenter’s Locked In Profits mentorship. The presenter explicitly says the free course is intended to demonstrate value and encourage viewers to apply for the paid program. He claims the mentorship can “guarantee” profitability or $10,000 in payouts in 2026, with continued coaching for free if the target is not reached; this is a promotional claim, not an independently established guarantee of trading results.

He explicitly says “not financial advice” and “I’m not an adviser” while making a bullish AMD prediction of $400 by the end of the following year. That prediction is speculative.

Presenters and Sources

• Presenter: Jack, from the JackTrades channel.
• Trading concepts referenced: ICT concepts and the PO3/AMD framework; no specific ICT instructor is identified in the subtitles.
• Statistics and tools cited: Topstep trader statistics; Forex Factory; Walter Bloomberg; Unusual Whales; Financial Juice; CME FedWatch; Nasdaq’s earnings calendar; TradingView; and ChatGPT.