AI crypto trading agents: from market evidence to a reviewed decision

How an agent evaluates a crypto setup

A point of interest is a candidate for analysis. The Entry workflow gathers market evidence and evaluates the setup in context rather than treating a chart pattern as an automatic instruction to buy or sell.

• Market structure and higher-timeframe directional context
• Liquidity, Fair Value Gaps, Order Blocks and displacement
• Confluence assessment and recorded decision explanations
• Technical SL/TP planning followed by deterministic price and risk checks

Analysis, approval and execution are different steps

Market analysis can produce a rejection or an incomplete assessment. In approval-based operation, users review proposals through Telegram before an execution attempt. Autonomous execution is an available configured workflow, subject to exchange permissions, risk settings and release access. It is not a capability granted by visiting a page or opening the public demo.

Risk checks remain outside the model's discretion

The model can assess context, but software validates executable price geometry, plan freshness and configured user risk constraints. A passing analytical score does not override later execution checks. Optional Judge review is a per-user setting and is off by default.

Explore before connecting a live account

Use the homepage's existing Launch Terminal (Demo) action to explore the terminal and recorded decisions. Demo sessions can restrict writes and AI chat access. Bybit market-data and execution integration exists; confirm venue, instruments and operating mode for your account before using live credentials. Selected users can apply for the private beta.

What an AI agent cannot promise

LLMs can misinterpret observations. Market data can be stale, and exchanges can fail or fill orders partially. Stops and validation cannot eliminate losses, slippage or incorrect configuration. Reviewable explanations help you inspect decisions; they are not proof of forecasting accuracy.