Agent & quant supervised
does not decide alone
Both Klaymen's settings and its basket of markets are reviewed by the quant and agent layer rather than by taste.
-
No version ships untested
Every new version must beat the running one on unseen data, or it never reaches your signal.
-
Risk adjusts itself
The bot's record is scored regularly: weaken and its capital share shrinks, recover and it is released.
-
It steps back before risky conditions
Unusual market conditions cut the capital share before entry — not after the loss.
-
The agent reads the record daily
Losses do not go unanswered: the agent isolates the cause and puts the fixes that matter first.
This layer guarantees nothing and does not replace your own risk management; its job is to keep decisions sitting on fresh evidence.
See the whole loop
Technical profile and market coverage
Klaymen
uses OKX
on 5m timeframe.
Sample capital: $1000.
Recommended minimum: $200.
Technical notes
Klaymen's basket mixes a few permanent anchors with markets that rotate on the realized record. The stop is locked from the moment of entry and sized to that market's actual volatility, and profit-taking is laddered. Its settings are re-searched periodically, but no setting is published without clearing a statistical test.
Covered pairs (5)
BTC/USDTETH/USDTSOL/USDTMEGA/USDTON/USDT
Full bot details
Rather than a blunt buy / don't-buy answer, Klaymen builds a quality score for every opportunity and enters only when everything lines up. That same score sets the size of the risk: a calm market with high confidence means more risk taken, a volatile one means caution.
An adaptive analysis bot on OKX futures that scores the quality of every opportunity and enters only in suitable conditions.
Supported leverage range: 5x to 10x.
The model warm-up uses 260 initial candles.
Features
Quality scoring for every opportunity, separately for long and shortStepped leverage matched to signal confidence and how calm the market isA stop locked from entry and sized to market volatilityPeriodic re-tuning behind a statistical test