Trust & safety
Updated 2026-07-27ARCHR's public methodology commitments for describing signals, intelligence jobs, and performance evidence without overclaiming.
Call-channel signals are monitored Telegram call sources (17 configured). DexScreener signals map to paid promotion tiers (6 classes).
Each signal type can be configured independently for alerts and auto-buy behavior.
Internal batches compute signal performance summaries, wallet scores, token lifecycle states, technical indicators, meta narratives, and related analytics for product use.
Any public performance scorecard must include sample size, time window, methodology version, known biases, and losses or miss cases where relevant. Marketing pages should not invent win rates.
Planned citable assets include anonymized signal scorecards, market-temperature summaries, lifecycle definitions, and risk taxonomies. Until published with full methodology, treat product intelligence as internal decision support—not audited public benchmarks.
No. Win rates are trivially easy to present misleadingly by choosing a favourable window or excluding losses. ARCHR will only publish a scorecard that states sample size, time window, methodology version, fee and slippage handling, and the losing cases.
Speed comparisons require independent, reproducible measurement across identical conditions. Without that, a speed claim is marketing. ARCHR competes on signal breadth, configurability, and risk controls instead.
Signal performance summaries, wallet behavioural scores, token lifecycle stage, technical indicators, and meta-narrative clustering. These run as internal batch jobs feeding the bot and the AI agent.
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Memecoin trading is highly volatile and can result in total loss of capital. ARCHR provides software tools, not financial advice. Read the full risk disclosure and terms of use.
