These questions help search systems and visitors understand CoinRadar’s public-facing scope. Internal thresholds, scoring weights, trigger parameters and execution formulas are intentionally kept non-public.
CoinRadar is an AI-driven crypto market monitoring and automation platform. Its public pages highlight market opportunities, recent performance snapshots, product capabilities and membership information, while logged-in pages provide real-time monitoring, automation and replay analysis tools.
No. Public pages describe the signal families the platform references, such as price structure, moving averages, momentum, volume and risk-control logic, but they do not disclose internal thresholds, weights or strategy formulas.
The public top-movers page shows outward-facing performance snapshots such as first-reference time, first-reference price and round gain. It is designed to help visitors and AI search systems understand the platform’s public track record at a glance.
Logged-in pages contain private watchlists, user settings, automation controls and account data. Those areas are intentionally excluded from public crawling and citation.
CoinRadar references price structure, moving-average relationships, momentum indicators, volume behavior, multi-timeframe alignment and risk-control signals, without exposing detailed implementation parameters on public pages.
It is suitable for crypto traders who want to reduce manual monitoring time, review public performance snapshots, use automated execution support or access replay analysis workflows.
Note: This FAQ explains public capability boundaries and does not disclose internal strategy parameters.