The call focused on advanced trading strategies, specifically the use of 05 boxes, DCA (Dollar Cost Averaging) techniques, and risk management within various hourly trading setups.
Key concepts discussed included how to use reversal data, structure DCA into winning and losing positions, and practical examples of entry, exit, and position sizing.
Participants were tasked with an exercise to backtest the 05 box breakout strategy for different hours and risk settings, preparing for a deeper dive in the next session.
Emphasis was placed on developing independent thinking and robust personal trading plans.
Action Items
Tomorrow – All participants: Review and backtest 05 box breakout strategies using provided indicators, test different hours, stops, and TP percentiles, and compile results for discussion.
All participants: Prepare to discuss which variables and filters produced the most consistent results over 30 days, 90 days, and 365 days for your chosen hour.
All participants: Begin developing individualized business plans based on backtest data and personal risk preferences.
Session leader: Share 05 box strategy tester and indicator setup with participants (as promised).
Session leader: Prepare to cover advanced risk management, compounding, and strategy scaling in the final session.
05 Boxes and Breakout Strategy
Explained that 05 boxes segment each trading hour into high/low zones, providing a fixed constant for systematic entries and exits.
Demonstrated how first and last five minutes of each hour statistically often set highs and lows, with trades structured around these time edges.
Emphasized importance of backtesting the breakout strategy for each hour, focusing on risk settings (stop/TP by percentiles or points) and using statistical win rates as filters.
Participants were shown how to use data to determine the best hours and setups, noting that not all hours are equally profitable.
Stressed that position sizing should be consistent and based on data, not arbitrary box sizes, to control portfolio volatility.
DCA (Dollar Cost Averaging) Techniques
Outlined two DCA approaches: adding to winning positions at predefined statistical reversal points, and DCA out of losing positions to manage risk and work toward breakeven.
Highlighted that all trade adjustments must be backed by historical data, such as mean reversion probabilities and major reversal zones.
Provided detailed walkthroughs using reversal data for specific trading windows (e.g., 1930–2030 ranges, midnight retracements) and how to structure entries, scaling, and exits.
Stressed the significance of using both price and time-based reversal data for trade management.
Risk and Position Management
Discussed why risk per trade must be handled carefully (typically 2–5%), especially for live accounts compared to prop firm trading.
Detailed the importance of position sizing based on fixed account milestones to reduce 14-day risk-of-ruin and avoid compounding losses during drawdowns.
Demonstrated how to analyze strategy performance across different timeframes (monthly, quarterly, annually) and the importance of switching systems or adjusting risk dynamically.
Developing Independent Trading Plans
Reinforced that the boot camp’s purpose is to create independent traders able to design and manage their own business plans, not to foster dependence on signals or paid groups.
Participants are encouraged to use intellectual curiosity, test variables independently, and document what works for their trading style and risk tolerance.
The session leader will transition from directive teaching to mentorship/counselor mode, guiding participants toward robust, personalized strategies.
Decisions
Participants will backtest and select their own optimal hour and filter combinations for the 05 box breakout strategy — to ensure independent application and adjustment based on consistent, data-driven results.
Open Questions / Follow-Ups
Are all participants able to access and configure the 05 box strategy tester/indicator for their analysis?
Does anyone need further clarification on risk parameters or compiling results (win rates, profit factors) for the next session?
Are there specific hourly setups that anyone is struggling to understand or backtest?