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How HyperStats Trader Grade Works

Understand how HyperStats grades traders using realized trade quality, risk control, and proof instead of raw wallet size alone.

HyperStats trader grade explains which traders look strongest when realized quality and proof are combined, rather than simply ranking wallets by raw PnL.

That is why the model does not simply reward raw wallet size or one lucky short-term spike.

In This Guide

Step 1
What quality means

Quality is based on realized trading behavior: edge, risk control, recent realized performance, and how traders handle exits. The goal is to reward repeatable realized results instead of temporary open PnL swings.

Step 2
What proof means

Proof is the part that stops tiny or one-off wallets from dominating the best grades. It considers trade count, realized PnL magnitude, and how much real risk has been put through closed positions.

Step 3
How to use grade on the leaderboard

Use grade as the first filter, not the only one. Then compare realized 7D or 30D performance, closed risk, and the trader's current main token to decide whether the wallet fits your strategy.

Use This Guide With

The guide explains the workflow. These are the exact HyperStats product pages where you verify the live signal, inspect the trader, or read the current market context.

What quality means

Quality is based on realized trading behavior: edge, risk control, recent realized performance, and how traders handle exits. The goal is to reward repeatable realized results instead of temporary open PnL swings.

A trader with high realized quality but poor risk control should not look the same as a disciplined trader with similar profits.

What proof means

Proof is the part that stops tiny or one-off wallets from dominating the best grades. It considers trade count, realized PnL magnitude, and how much real risk has been put through closed positions.

That is why a small wallet with a few lucky exits will not usually outrank a more proven trader with deeper realized history.

How to use grade on the leaderboard

Use grade as the first filter, not the only one. Then compare realized 7D or 30D performance, closed risk, and the trader's current main token to decide whether the wallet fits your strategy.

Grade is best used to narrow the field before you inspect the wallet page in detail.

Frequently Asked Questions

Is HyperStats grade the same as rank?

No. Rank is the page ordering, while grade is a broader quality-plus-proof signal about how trustworthy the trader's results look.

Does grade reward big wallets automatically?

No. Proof matters, but raw wallet size alone is not enough. The model is designed to weight realized quality and evidence together.

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