ACADEMY ·  The Desk Path ·  Trading The Desk
Trading The Desk  ·  Lesson 9 of 10

The Skill and Anti-Gaming Families

Beneath the core factors: risk-adjusted return, win rate, expectancy and profit factor, plus the guardrails that catch layering, averaging down and robotic sizing.

6 MIN READ · THE DESK ACADEMY

Beneath the eight core factors, the Daily Profit Score looks deeper through two groups of sub-metrics: the Skill family and the Anti-gaming family. The core factors describe the shape of your day. These two families ask harder questions about the quality of the trading and about whether anyone is trying to trick the score. You do not need to optimize them individually. Trade well and they take care of themselves, but knowing they exist explains why gaming the score does not work.

The Skill family

The Skill family measures risk-adjusted quality with four sub-metrics. Risk-adjusted return looks at profit earned per unit of downside taken, so a smooth gain beats a jagged one. Win rate is simply how often your trades won. Expectancy is your average profit per trade across the session. Profit factor is money won divided by money lost. None of these alone tells the whole story, which is exactly why the score combines them rather than trusting any single one. Together they describe whether your edge is real or whether one trade carried a losing method.

The Anti-gaming family

The Anti-gaming family exists because any scoring system invites people to try to fool it. It watches for three specific tricks. Trade layering is padding the trade count with quick throwaway re-entries to look busier than you were. Averaging down is adding to losing positions at worse prices, which can rescue a day but is a dangerous habit the score refuses to reward. Size consistency flags robotic, near-identical sizing that looks automated rather than considered. These are not traps for normal traders. They are filters against manufactured sessions.

Why you can ignore them day to day

Here is the reassuring part. Every one of these sub-metrics is satisfied by ordinary good trading. If you take real trades, size them from risk, cut losers instead of adding to them, and let your winners come from a genuine edge, the Skill family reads well and the Anti-gaming family never triggers. They are not extra hoops. They are the reason the headline factors cannot be gamed, which is what lets the score pay high shares with confidence.

Knowledge pays better with capital behind it.

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