How the platform works
AI Signal Engine
RSI, EMA, MACD, volume, volatility, and market context are evaluated together instead of as isolated indicators.
Explore the model →
7-Level Allocation
Capital is staged across controlled entries to reduce single-entry timing risk while keeping exposure inside a predefined plan.
See allocation →
Reserve Buffer
A reserve funded from profitable trades is designed to cushion losing streaks and reduce drawdown pressure.
See buffer →
Large Samples
The goal is to let a positive statistical edge show up across many trades, not to judge the system by a short streak.
Understand the math →
From analysis to controlled execution
XentiQ AI evaluates market information through multiple indicators and model checks before an automated strategy can act. A potential setup moves from market analysis to a trading decision and then through predefined execution and risk rules.
AutoBot is designed to follow those rules consistently. Depending on the strategy and available settings, a trade plan may include an entry area, position size, exit targets, a stop condition, and limits on overall exposure. You can review the applicable settings and monitor activity in your account.
Automation does not remove market risk. Signals can be wrong, orders can execute at different prices than expected, and losses can occur even when limits are in place. Review the strategy settings and Risk Disclosure before enabling automated trading.
Risk-first by design
No unlimited averaging
Layering stops at predefined limits. The system is structured to avoid the open-ended martingale behavior that can damage accounts.
No emotional overrides
Execution rules are pre-set, measured, and automated so fear, greed, and revenge trading do not control position decisions.
No risk-free claims
Crypto trading remains volatile. XentiQ focuses on risk control and statistical process, not guaranteed results.
For deeper context, visit Insights →