Technical profile and market coverage
Klaymen
uses OKX
on 5m timeframe.
Sample capital: $1000.
Recommended minimum: $200.
Technical notes
Klaymen's core is an adaptive-logic engine: instead of binary yes/no, it builds spectrum scores for long and short opportunities and weighs them with a confirming machine-learning layer. Inputs include trend, strength, volatility, trend bias, and market regime. Exits respond to opposite-direction signals, dynamic ROI, and custom risk controls. The aim is selective, high-quality entries rather than frequent trading.
Covered pairs (5)
BTC/USDTETH/USDTXRP/USDTSOL/USDTBNB/USDT
Full bot details
Klaymen scores markets with spectrum logic instead of a hard yes/no decision. It builds separate long and short opportunity scores, then uses trend, volatility, and a confirming learner layer before entry.
Adaptive market-scoring bot for uncertain conditions, using continuous quality evaluation before entries.
The model warm-up uses 260 initial candles.
Features
Adaptive spectrum-logic core with a confirming learner layer.Separate spectrum scoring for long and short opportunities.Trend, strength, volatility, trend-bias, and regime-aware inputs.Confirming learner layer to suppress lower-quality entries.Opposite-signal exits, dynamic ROI, and risk controls.