A rule-based trading method.
Without discretion.
Method
Decision Elimination
Discretion is removed from the execution process. Entry, exit, position sizing, and risk limits are defined in advance and cannot be altered once a system is active. Human judgement is restricted to system design and evaluation, not trade by trade decision-making.
System Development
Strategies are developed as rule-based systems operating within explicit constraints. Hypotheses are tested, stress-evaluated, and deployed without interpretation or narrative adjustment. Systems that require ongoing discretion to function are rejected.
Evaluation
Systems are evaluated on robustness, repeatability, and constraint fit. Isolated outcomes are treated as noise and excluded from decision-making. Promotion, modification, or retirement is driven by behaviour across regimes, not short-term performance.
Method Components
The method is composed of discrete components, each serving a specific function within system design, execution, or evaluation. Components may be enabled or disabled depending on market structure and operational requirements.
System Design
• Market Selection
• Time & Session Constraints
• Entry Logic Definition
• Exit & Invalidation Rules
• Position Sizing Models
• Risk Boundaries
Execution & Control
• Order Execution Logic
• Trade Frequency Limits
• Drawdown Awareness
• Multi-Account Scaling
• Regime Filters
• Post-Trade Review
Core Research
£649 (single fee)
A clear framework for how trading decisions should be made and why most traders sabotage themselves without realising it.
How trades should be planned before the session starts
Clear rules for what to trade, when to trade, and when to stay out
Real examples showing good trades, bad trades, and trades that should never be taken
Reviews that explain losses without emotion or hindsight bias
A rules-first approach you can apply immediately
A process you can stick to when pressure hits
Request Access
Systems & Machine Learning
£2,299 (single fee)
A complete operating model for running trading like a business multiple systems, controlled risk, repeatable execution.
How to run several simple systems together instead of relying on one setup
Fixed rules for entries, exits, and risk that remove emotion from execution
How small, repeatable edges are farmed over time
How drawdown is controlled across the entire book, not per trade
When to press, reduce risk, or stop trading altogether
How data and machine learning are used to avoid bad conditions, not predict markets
Request Access
Private Research
£22,000 (single fee)
Not advice. Not signals. You are assigned a dedicated analyst who works with you throughout the year to enforce discipline, correct execution, and keep your trading on track.
Dedicated analyst access (24/7) who knows your systems, rules, and risk limits not a support inbox.
Same-day trade discussion focused on decision quality, timing, and risk
Continuous review of trades to identify leaks, drift, and rule violations
Ongoing oversight of systems, sizing, and exposure as conditions change
Direct correction when execution slips before mistakes compound
A rules first operating model you follow daily
Apply
Trading gets messy when decisions aren’t clearly defined. No Bias exists to remove that mess to replace opinion, reaction, and guesswork with structure you can actually follow. Some traders want signals. Others want a process they can rely on. If you’re looking for the second, you’re in the right place.
