AI-Powered Crypto Learning & Intelligence Platform
Learn Crypto. Think Like a Professional.
Eight specialized AI agents continuously analyze technical structure, on-chain flows, macro trends, sentiment, derivatives, and quantitative signals simultaneously. Every output carries probabilistic conviction scoring, regime context, and the reasoning behind it, for everyone from complete beginners to experienced traders.
Master the fundamentals. Practice risk-free. Analyze with confidence.
Intelligence Pipeline
Eight Specialists. One Unified View.
Most platforms give you a single answer from a single model. CryptoMantiq deploys eight specialized agents across every analytical domain, all running simultaneously. They generate competing hypotheses, detect contradictions, and synthesize a single probabilistic market view in real time.
Not a trading bot. Not generic AI. Structured market intelligence, with the reasoning shown.
Research & Education
Research & Education
Explains the reasoning behind every intelligence output. Makes every other agent interpretable, from your first RSI reading to regime transition probabilities.
Technical Analysis
Technical Analysis
Reads price structure, momentum, key levels, and derivatives positioning. Identifies where the market is, what's driving it, and what would change the assessment.
Market Intelligence
Market Intelligence
Monitors news flow, sentiment velocity, and catalyst risk in real time. Distinguishes confirmed events from rumour and flags whether current sentiment is already priced in.
On-Chain Analysis
On-Chain Analysis
Interprets blockchain data, wallet flows, and protocol health. Surfaces what institutional participants are actually doing, not what they're saying.
Trading Coach & Performance
Trading Coach & Performance
Reviews your paper trading history, connects outcomes to the market conditions and analyses active at entry, and identifies patterns in your decision-making.
Risk Management
Risk Management
Quantifies exposure, models drawdown scenarios, and flags concentration risk with specific numbers, not vague warnings.
Macro & Liquidity
Macro & Liquidity
Tracks liquidity regimes, DXY, rates, and cross-asset flows. Provides the institutional macro context that frames everything happening in crypto.
Strategy & Quant
Strategy & Quant
Converts the full intelligence stack into executable strategy frameworks. Selects quant strategies by regime, sizes positions with portfolio context, and prices MetaEvaluator contradiction risk into every entry condition.
270+ assets · 8 agents · Closed Beta Q3 2026
Apply for accessAs of , approximately 420 million people globally hold or use cryptocurrency. TripleA, 2025.
Platform Logic
Built Around How Understanding Develops, Not How Tools Are Usually Sold.
Most platforms force a choice: learn here, practice there, analyze somewhere else. CryptoMantiq integrates all three. Structured Learning Journeys, risk-free paper trading simulation, and institutional-grade market intelligence — in one environment, designed to work together.
The intelligence layer goes further than general AI can. Eight specialized agents. Live data across eleven streams. Explicit contradiction detection. Probabilistic conviction scoring. All regime-aware, in real time.
Integrated Learning Journeys
Structured educational pathways covering every analytical framework the intelligence pipeline uses. Learn the concepts behind the data you are already seeing, in the same environment.
Risk-Free Simulation Environment
Practice with $100,000 virtual capital against live market data. Conviction scores, regime context, and agent analysis are visible alongside every simulated position.
Live Regime Classification
HMM state identification runs on every query. Market state is classified in real time, not inferred from training data.
MetaEvaluator Contradiction Detection
When signals across domains conflict, the system surfaces it explicitly. You always know when the intelligence picture is contested.
Eight Independent Specialists
Not one model with one perspective. Eight agents across distinct domains produce competing hypotheses, then synthesize a single probabilistic view.
Empirical Pattern Memory
Historically observed market conditions with outcome distributions. When current conditions match a stored pattern, prior probabilities are injected into agent reasoning.
Dedicated On-Chain Layer
Oracle interprets blockchain flows, wallet behavior, and protocol health. A class of data general AI systems have no access to.
Structured Interpretability
Sage explains every output at the level required. Every agent, every signal, every regime context: reasoning shown, not hidden.
Design Philosophy
The Research Desk Model
Most market participants don't fail because they lack intelligence. They fail because they're trying to synthesize too many competing signals at once, without a structured framework for resolving conflict between them.
CryptoMantiq was modeled on how quantitative research desks operate. Multiple specialists. Competing hypotheses. Explicit contradiction detection. A single probabilistic conclusion.
That intelligence layer sits alongside structured Learning Journeys that teach the frameworks behind every output, and a risk-free Paper Trading Simulation where you can apply them without capital at risk. All three are in one place, not spread across separate tools.
Layer 1
The Intelligence Pipeline
Eight specialized agents operate simultaneously across distinct domains: technical, on-chain, macro, sentiment, derivatives, risk, education, and strategy. They don't take turns. They run in parallel, generate competing hypotheses, and synthesize a unified regime-aware view with probabilistic conviction scoring.
When signals conflict, the MetaEvaluator detects it and surfaces it explicitly. You always know when the data is clean and when it isn't.
Layer 2
Built to Be Understood
Every intelligence output comes with the reasoning behind it. The Sage agent contextualizes what each specialist found: what the signal means, why it matters in the current regime, and what would change the assessment.
This isn't a separate education mode. It's how the system works at every level, whether you're reading your first MACD or stress-testing a macro regime thesis.
Closed Beta opens Q3 2026. 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
What the Platform Delivers
Education, simulation, and a full probabilistic intelligence stack — built to be understood at every level.
8-Agent Intelligence Pipeline
Eight specialists operating simultaneously across technical, on-chain, macro, sentiment, derivatives, risk, education, and strategy domains. Competing hypotheses. Unified probabilistic output.
HMM Regime Forecasting
Hidden Markov Model regime detection identifies the current market state and assigns forward transition probabilities across trending, ranging, and transitioning regimes. Every agent output is regime-aware.
Conviction Scoring & Synthesis
Each agent's output is confidence-weighted and merged into a single probabilistic conviction score. Disagreement between agents is resolved through structured cross-domain synthesis, not averaged away.
MetaEvaluator Contradiction Detection
When signals across analytical domains conflict, the MetaEvaluator flags it explicitly. You always know whether the intelligence picture is clean or contested.
Empirical Pattern Memory
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.
Research Knowledge Architecture
Every intelligence output comes with the reasoning behind it. A structured reference system covers the analytical frameworks, regime concepts, and data methods the system uses.
Learn As You Analyze
Sage contextualizes every agent output in plain language: what the signal means, why it matters in the current regime, and what to watch next. No separate learning mode required.
Structured Learning Journeys
Guided journeys covering the core analytical frameworks behind every intelligence output. Work through them alongside live market data so every concept is immediately applicable.
Multi-Source Data Integration
Eleven live data streams covering technical, on-chain, macro, sentiment, derivatives, order book, and liquidation signals, ingested, normalised, and routed to the appropriate agent in real time.
Paper Trading Simulation
Beta · Q3 2026Execute and track trades with virtual capital in a live-data environment. Conviction scores, regime context, and agent analysis are visible alongside every simulated position.
Technical Analysis Workbench
Beta · Q3 2026Professional-grade charting augmented with AI-generated structure annotations, including support zones, trend delineation, and key level identification sourced from the Strategist agent.
FAQ
Questions
What is CryptoMantiq?
CryptoMantiq is an AI-powered crypto learning, simulation, and market intelligence platform. Learn how cryptocurrency markets work through structured Learning Journeys, practice with risk-free paper trading simulations, and access institutional-grade market intelligence powered by eight specialized AI agents. A research and educational platform — not a trading bot, signal service, or financial advisor.
Who is this designed for?
Anyone interested in understanding cryptocurrency markets — from complete beginners learning their first concepts to experienced traders conducting advanced market analysis. Beginners can follow structured Learning Journeys and practice using paper trading simulations. Advanced users can leverage the full intelligence pipeline, regime analysis, conviction scoring, and multi-agent research framework. Sage explains every insight in plain language so users can continuously learn while analyzing live markets.
Is it suitable for complete beginners?
Yes. CryptoMantiq was designed to make professional-grade crypto intelligence accessible to everyone. Learning Journeys, Sage AI explanations, and risk-free simulations help beginners build confidence before risking real capital. You do not need any prior trading or technical knowledge to get started.
How much does it cost?
Closed beta access is entirely free. No credit card required to apply. Foundation and Professional tiers will be available after beta. Waitlist members get pricing first.
What are Learning Journeys?
Structured educational pathways covering the analytical frameworks behind every intelligence output: technical analysis, on-chain interpretation, macro regime analysis, risk management, conviction scoring, portfolio construction, and more. Every lesson is connected to live market data and real-world examples, allowing you to learn concepts and immediately apply them in practice.
What is the Paper Trading Simulation?
The Paper Trading Simulation lets you practice trading with virtual capital in real market conditions. Experiment with strategies, test your analysis, and build skills without risking real money. It runs against live market data so every session reflects actual conditions.
What makes it different from a trading signal service?
Signal services tell you what to do. CryptoMantiq helps you understand why markets move. Instead of black-box buy and sell alerts, CryptoMantiq shows the reasoning behind every conclusion: eight independent analyses, contradiction detection, regime context, and probabilistic conviction scoring. The goal is not just better decisions today, but helping users become more capable market participants over time.
Does it execute trades?
No. CryptoMantiq is a market intelligence, simulation, and educational platform. Paper trading simulation uses virtual capital only. The platform does not custody funds, connect to exchange accounts, or execute real trades.
How do I get started?
Apply for the closed beta opening Q3 2026. Once invited, you'll receive access to eight specialized AI intelligence agents, structured Learning Journeys, paper trading simulation, market dashboards, and AI-powered educational assistance through Sage. All beta access is provided at no cost.
Closed Beta
Full platform access
Everything CryptoMantiq delivers, available in full during the closed beta at no cost.
Full access. No cost during beta.
Apply now. Priority access to paid tiers when they launch goes to beta members first.
Apply for Closed BetaApplications reviewed on a rolling basis · Beta opens Q3 2026