No product description has been published for this domain yet. Everything below is measured directly.
Business Specialistautobtc.aiTracked since 2026-08-191 discovery source
341Backlinks
62Referring domains
20Domain authority
+16.0%Referring domains · 90 days
Authority & distribution
How strong is AutoBTC’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
341Current snapshot
Referring domains
62Current snapshot
Authority
20Domain authority · category median 22
90-day move
+16.0%Referring domains, last 90 days
At 20, AutoBTC sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“AutoBTC”
No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.
Business SpecialistSeen 2026-08-19 → 2026-08-19Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://autobtc.ai/
Observed across 1 discovery source.
Research questions
What the evidence answers about AutoBTC.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does AutoBTC AI do?
AutoBTC AI provides a fully automated BTC quantitative trading engine called AutoPilot AI. It uses AI to execute BTC trading strategies autonomously, aiming to solve the problem of emotional decision-making and market noise in manual trading.
What problem does AutoBTC AI solve?
It addresses the pain points of emotional human trading, such as fear-driven selling, greed-driven buying, and hesitation that misses market cycles. Its AI-powered execution removes human bias and executes trades based on algorithmic logic.
What features or technologies does AutoBTC AI offer?
It features a 120-period neural network for trend analysis, dynamic risk control, a Shield Protocol for drawdown management, and millisecond-level data aggregation from sources like the Fear & Greed Index and on-chain flows.
How does AutoBTC AI manage trading risk?
It employs the Shield Protocol for extreme drawdown management, claiming to have limited maximum drawdown to -35.2% during the 2022 market downturn. It also uses a 'Black Swan Wick Filter' based on 4-hour level signals.
What performance metrics does AutoBTC AI claim?
The product homepage states it has achieved 542.1x growth since 2023, a 169.6% CAGR, and a 3.20 Calmar Ratio.
Who is AutoBTC AI for?
It is designed for individuals seeking to automate their BTC investment and trading, specifically those who want to move beyond emotional or manual trading strategies and utilize AI for quantitative execution.
What is AutoBTC AI?
AutoBTC AI is a business specialist product categorized as a financial technology tool. It provides a fully automated quantitative trading engine for BTC, executing financial transactions autonomously.
Behind the lock
Unlock full AutoBTC intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured