What makes a good crypto trader? — AMA recap with Paradyze

Profit is the most visible measure of trading performance, but it can hide as much as it reveals. A lucky entry or a favorable market move can produce an impressive result without showing whether the trader followed a reliable process.

During a recent Cointelegraph AMA session, Paradyze founder and CEO Dennis Egenrieder discussed why trading skill should be evaluated through the decisions behind each outcome. He also explained how Paradyze uses onchain trading data, live sessions and AI-powered coaching to identify weak habits and track improvement.

“Profit is an outcome, but skill is the process that makes the outcome repeatable,” Egenrieder said.

Profit may not always be an outcome of skill

Egenrieder’s interest in trading behavior grew out of his own experience in crypto derivatives. Some periods ended strongly, while others erased earlier gains, yet the platforms he used offered little explanation beyond account balances and leaderboards.

The missing piece was objective feedback. A profitable trade might reflect a sound plan, but it could also come from excessive risk or a market move that happened to favor the position.

“A profitable trader obviously has a profitable outcome, but a good trader has a process they can repeat over time,” Egenrieder said.

A skilled trader can still finish a day at a loss. What matters is whether the downside was controlled and the plan was respected. Egenrieder compared profit and loss (PnL) to a scoreboard: it records the result, but not how the game was played.

Trading behavior gets a scoring

Onchain markets make it possible to examine trading activity in greater detail because wallets leave visible records of positions, entries, exits and changes in exposure.

Paradyze uses that data through Trading IQ, a system designed to estimate trading skill and identify where performance may be breaking down.

“It is designed to answer more useful questions, not just, ‘Did I make money?’ but, ‘How well am I actually trading?’ and ‘Where is my biggest opportunity to improve?’” Egenrieder said.

The first version of that system went live on Aug.3. This public wallet scanner gives traders a lighter entry point into Trading IQ by analyzing the previous 90 days of activity from a Hyperliquid wallet.

No account is required for the process. Users can paste in an address to receive an estimated score, an indication of how strongly the available data supports it and a diagnosis of the main issue affecting performance.

“That gives you an initial result,” Egenrieder explained. “You can check what your last 90 days looked like and get hints on where you should move next.”

The fuller version, which is expected to land in the coming period, is built around Ranked sessions, where traders operate live while Paradyze’s coaching agents monitor their behavior. Feedback after each session looks at how decisions were made and whether the same problems continue to appear.

The aim is to turn the wallet scan into a starting point rather than a final verdict. “You can see, ‘This was my behavior over the last 90 days. How is it evolving step by step through these Ranked sessions?’” Egenrieder said.

Detecting the habits that consume profit

Trading IQ considers profitability, but Egenrieder stressed that profit cannot carry the assessment alone. A strong return may still rest on unstable sizing or a losing day large enough to threaten everything earned before it.

“Strong profit with reckless downside should not be equal to controlled, repeatable performance,” he said.

Overtrading is one of the most common problems Paradyze detects. Traders may make sound calls but give back much of the return through unnecessary activity and mounting fees. Egenrieder also pointed to revenge trading and oversized losses as behaviors that can make an otherwise profitable record fragile.

“That is the most valuable moment of the product,” he said. “Seeing the different elements that are eating up my profit, although maybe I’m already profitable.”

AI helps interpret those patterns, but it does not invent the score. Egenrieder said the assessment comes from defined rules and verified trading data, while AI turns the findings into feedback a trader can act on.

“Most AI trading products today focus outward. They analyze the market, the charts, the news and the sentiment,” he said. “We focused AI inward, on you as a trader.”

Trader reputation to rest on onchain records

The idea for Paradyze also came from patterns Egenrieder observed in his own trading community. Traders would build strong returns, give them back and then repeat the same cycle without knowing which part of their behavior had caused the damage.

“You might know your PnL, whether you are up or down, but not what the real problem was,” he said. “Was it a weak exit or an oversized loss?”

Egenrieder expects onchain records to make that kind of performance easier to assess over time. Rather than relying on screenshots or a rank tied to one platform, traders could build a reputation linked to their wallet and carry it elsewhere.

The AMA concluded with Egenrieder encouraging traders to use weaker market periods to study their own process.