AnalyzeCryptoMarketsWithProbabilistic AI Intelligence
PoweredbyanagenticAIsystem—asquadofspecializedagentsthatanalyzemarkets,generatecompetinghypotheses,andassignconvictionusingregime-awareanalysis.
300+
Crypto Assets
11
Live Data Streams
7
Specialized Agents
Free
Beta Access
Pattern intelligence and accuracy profiles improve as more market data is processed during the closed beta.
You
Strategist
Sentinel
Oracle
Mentor
Guardian
Sage
Atlas
A 7-Tier Intelligence Pipeline
Each agent specializes in a distinct intelligence domain. Together, they generate competing hypotheses, assign probabilistic conviction, and synthesize a unified market view — regime-aware, in real time.
Not signals. Not alerts. A full agentic reasoning system working on your behalf.
Sage
Research & Education
Contextualizes market conditions using foundational and macro knowledge.
Strategist
Technical Analysis
Identifies key levels, structures, and high-probability setups.
Sentinel
Market Intelligence
Monitors news, catalysts, and sentiment shifts in real time.
Oracle
On-Chain Analysis
Interprets blockchain data and wallet flows that institutions track.
Mentor
Portfolio Oversight
Handles position sizing, allocation, and exposure management.
Guardian
Risk Management
Enforces drawdown limits and capital protection protocols.
Atlas
Macro & Liquidity
Tracks macro regimes, liquidity cycles, and cross-asset flows.
About CryptoMantiq
An Agentic Intelligence & Research Platform
Most market participants fail not because they lack intelligence — but because they lack structured analytical frameworks, regime awareness, and the cognitive capacity to synthesize competing signals simultaneously. CryptoMantiq addresses this through a probabilistic, multi-agent approach — modeled on how quantitative research desks operate.
Layer 1
The Multi-Agent Intelligence Pipeline
At the core are 7 specialized AI agents — each owning a distinct intelligence domain. They operate simultaneously, generate competing hypotheses, and synthesize a unified probabilistic market view.
HMM Regime Forecasting
Market state identification and transition probability scoring across trending, ranging, and transitioning regimes.
Conviction Scoring
Confidence-weighted synthesis merges all agent outputs into a single probabilistic conviction score.
Cross-Domain Correlation
On-chain, macro, sentiment, and technical signals unified into one coherent regime-aware view.
The system produces intelligence — not signals. Decisions remain yours.
Layer 2
Contextual Educational Support
Education is the why behind every intelligence output. Users learn to read each agent's reasoning — understanding what the system detected and why it matters in the current regime.
- Understanding market mechanics and regime dynamics
- Interpreting probabilistic outputs without over-relying on them
- Developing analytical reasoning alongside the AI system
This builds independent thinking — not platform dependency.
Closed Beta opens April 25th — limited capacity to ensure system stability and pattern calibration quality.
Intelligence research platform only. Not financial advice. All outputs are probabilistic and informational in nature. See full disclaimer below.
Platform Capabilities
Agentic Intelligence Infrastructure
Built around probabilistic reasoning, not dashboards. Each capability is a layer of the intelligence stack — not a standalone feature.
7-Agent Intelligence Pipeline
Seven specialized agents — Sage, Strategist, Sentinel, Oracle, Mentor, Guardian, and Atlas — operate simultaneously across distinct intelligence domains, generating competing hypotheses synthesized into a unified market view.
HMM Regime Forecasting
Hidden Markov Model-backed regime detection identifies the current market state — trending, ranging, or transitioning — and assigns transition probabilities forward. All agent outputs are regime-aware.
Conviction Scoring & Synthesis
Each agent's output is confidence-weighted and merged into a single probabilistic conviction score. No single signal wins — the system resolves disagreement through structured, cross-domain synthesis.
Empirical Pattern Memory
The system maintains a database of historically observed market patterns with outcome distributions. When current conditions match a stored pattern, prior outcome probabilities are injected into agent reasoning.
Paper Trading Simulation
Practice trade execution and portfolio decisions with virtual capital in a live-data environment. Conviction scores and regime context are visible alongside simulated positions.
Technical Analysis Workbench
Professional-grade charting augmented with AI-generated structure annotations — support zones, trend delineation, and pattern identification — sourced from the Strategist agent.
26-Journey Research Curriculum
A structured 26-journey curriculum that exists as contextual support for the research desk — explaining the "why" behind each intelligence output so users can build reasoning capacity alongside the AI system.
Multi-Source Data Integration
11 live data streams covering technical, on-chain, macro, sentiment, derivatives, and order book signals — ingested, normalized, and routed to the appropriate agent in real time.
Intelligence improves as the system processes more market data
Pattern accuracy and conviction calibration deepen throughout the closed beta period.
Due Diligence
Transparency & Core Logic
Clear, transparent answers to help you evaluate the CryptoMantiq intelligence platform with confidence.
What is CryptoMantiq?
CryptoMantiq is an Agentic AI Research Desk that synthesizes complex market data into structured intelligence. It employs a 7-tier agent pipeline to generate hypotheses, conviction scores, and probabilistic regime forecasts across 300+ crypto assets — in real time.
How much does it cost?
During the Closed Beta, access is entirely free for invited testers. We are capturing demand for Foundation and Professional tiers via waitlist while we finalize the probabilistic intelligence engines and payment infrastructure. No credit card is ever required to apply.
Who are the AI Agents?
The research desk runs 7 specialized agents: Strategist (Technicals), Oracle (On-Chain), Sentinel (Sentiment), Atlas (Macro & Liquidity), Guardian (Risk), Mentor (Portfolio), and Sage (Education). An 8th agent — Architect — is scheduled to join July 1st for automated strategy generation.
Is it safe for beginners?
Yes. CryptoMantiq is a research and simulation platform. All trading is performed in a risk-free sandbox using virtual capital. We do not custody funds, execute real trades, or provide financial advice. The Sage agent is always available to decode complex intelligence outputs into understandable concepts.
How does the AI make decisions?
Agents use Multi-Agent Synthesis — weighing competing hypotheses and checking for contradictions across data streams. Every output is grounded in Empirical Pattern Memory (historically observed outcome distributions) and HMM Regime Forecasting (hidden Markov model state identification), producing probabilistic intelligence rather than simple guesses.
How do I get started?
Apply for the Closed Beta opening April 25th. Once invited, you can deploy your research desk, engage the 7-agent intelligence pipeline, and begin testing your hypotheses in the simulation environment — all at no cost.
Access Levels
Access the Research Desk
All tiers deploy the full 7-agent pipeline. Tiers differ in query capacity, intelligence depth, and feature availability.