The Daily Profiler
Trading Bootcamp

Build the foundation for reading live markets objectively using fixed constants—not guessing.

• The 0-5 Box: a fixed hourly anchor point for proactive decision-making
• Basis Points & Sentiment: data-derived momentum gauge built from 10 years of false breakout data
• Hourly Quarters (Q1–Q4): 15-minute divisions that reveal hourly high/low timing
• 3-Hour Line & Apex classifications tested across 17,000+ data sets
• Line Signatures (4 types) & Apex Signatures (2 types) for early session identification
• Candle Science Probabilities: if-then probability engine built on 87,000+ hourly candles
• Rolling 3-Hour Line windows for holding trades through multiple hours

Zoom out from hourly mechanics to the daily chart—classify the market environment and discover when MAE/MFE gets put in.

• Daily Classification: all 25,000 possible price paths compress into 4 day types (Range 1, DWP, DNP, Range 2)
• Daily Candle Science: C1/C2/C3 probability framework on 3,773 days (20 years) of data
• MFE/MAE Percentile Targeting using 30th, 50th, and 70th percentile zones
• The 12-Hour MAE/MFE Histogram: probability of WHEN the stop hunt and real move occur
• Day-of-Week Signatures & two MAE patterns (Shallow vs. Deep Checkmark)

Chain sessions together into conditional probability systems. The 4-step reversal, session variables, HOD/LOD mapping, and price model analysis.

• The Four-Step Reversal: a survival framework using objective reference points with quarter-size risk scaling
• Session Variables & O/U Classification across 4 sessions (Asia, London, NY1, NY2) with 20 years of data
• Conditional Probability Chaining: what Asia did changes London’s probabilities, and so on
• HOD/LOD Time & Price Mapping using 4,584 days (2005–2025) of NQ data
• Session Stacking Combos: aligned sessions produce 6:1 to 22:1 risk/reward ratios
• Price Models, Distribution analysis & Mode-to-Median zones

Integrate weekly/monthly context, volatility regimes, and institutional-grade reference levels to know when to turn systems on and off.

• NFP Friday & Previous Month 50%: two reference levels that determine the market regime (70/30 vs. 50/50 days)
• Three Types of Pullbacks: Monthly Slowdown, Quarterly Pullback, Yearly Change in Character
• P12 Scenarios: 6 pre-market patterns that signal the 12-hour MAE/MFE shape
• VVIX & Volatility States: White zone (normal) vs. Gold zone (expanding) with position sizing rules
• True/False Indicator Integration & complete game plans for all 16 overnight variable combinations

Build the math behind survival. Define risk per trade from your model’s own data, budget for worst-case scenarios, and cycle accounts like a portfolio manager.

• Risk Per Trade derived from 6 model metrics: EV, profit factor, MAE, MFE, consecutive losses, max drawdown
• Doomsday Budgeting: size positions to survive Monte Carlo worst-case scenarios
• MAE/MFE Application: the two master levers for setting objective entries, stops, and targets
• MAE/MFE Sync: the overfitting filter that catches strategies that look good on paper but fail in practice
• Portfolio Cycling: 3 proven methods for spreading risk across multiple accounts

Calculate the core metrics that define whether your system is a business or a gamble.

• Expected Value (EV): your trading system’s “salary per trade”
• Profit Factor: total dollars won divided by total dollars lost—how clean your system is
• Combined Edge (Power Score): one number that blends profitability with system efficiency
• Maximum Drawdown & Drawdown Risk Rating (DRR): is your system survivable?
• Positive/Negative R: standardized trade outcomes measured in multiples of risk

Stress test your system for real-world survival—14-day risk of ruin, consecutive loss analysis, the fix table diagnostic, and full backtesting rigor.

• 14-Day Risk of Ruin: the statistical kill zone on any new account (95% of PhDs went broke on a 60% win-rate game)
• Consecutive Loss Analysis: calculate your maximum expected losing streak and size accordingly
• Risk of Ruin formula: engineer it below 1% or the system isn’t tradeable
• The Fix Table: a complete diagnostic framework—when a metric breaks, adjust the specific lever
• 0-5 Box Strategy: 113 configurations tested through a 10-step validation pipeline including 7-gate robustness testing

Put everything together. The 3-hour trade structure, the 9:30 AM framework, CPT backtesting across every hour, and full session analysis.

• The 3-Hour Trade Structure: two primary trades within the line framework, applied every day
• The 9:30 AM Framework: a 4-step daily workflow (Variables/O/U, HOD/LOD, Distributions, Price Models)
• CPT Backtesting (Captain Backtest): full strategy validation for every hour of the trading day
• NY1 HOD/LOD Application: reading overnight direction, identifying firecrackers, executing reversals
• Complete Integration: all 7 prior phases tied into a single, repeatable daily process