About Quantum L7 AI

What is Quantum L7 AI

Quantum L7 AI is a compact research and signals stack for crypto. Our goal is simple: reduce noise, reveal real market structure, and help you act with discipline rather than impulse.

L7 agents, not black boxes

L7 stands for application-layer agents. These agents read documents, call APIs, observe blockchains and order books, run small experiments, and assemble explainable outputs. You do not get a black box; you get hypotheses, tests, and a clear trace of why a suggestion appeared.

Who it is for

Who it is for: traders who want fast situational awareness; researchers who need repeatable studies; builders and desks that require a clean API and a stable data plane.

Coverage

Coverage. We ingest market data from major CEX venues and leading DEX aggregators, add reference data (symbols, mappings, contract metadata), and unify it into a single schema. Cross-venue comparability is the design target.

Data pipeline

Data pipeline. Feeds are normalized, gaps are auto-patched, splits and contract changes are reconciled, and derivatives are labeled. Large history buckets enable regime attribution instead of short-term overfitting.

Analytics engine

Analytics engine. More than two hundred indicators are available, but the point is not quantity—the point is ensembles, learned weights, and context. Classic families (RSI, Stochastic, MFI, CCI, ADX/DI, EMA/SMA/WMA, MACD, ATR, Bollinger Bands, VWAP, OBV, Ichimoku baselines) are combined with regime filters and liquidity awareness.

On-chain modules

On-chain modules. We parse transfers, liquidity additions and removals, bridge flows, holder distributions, and basic MEV fingerprints. Signals are down-weighted in thin or manipulated regions.

News & research stream

News and research stream. Multilingual sources are auto-translated, embedded, and deduplicated. Sentiment, novelty, and source reliability contribute to a lightweight narrative score next to price metrics.

Signal cards

Signal cards. Each card shows an expected move and time horizon derived from the asset’s history, plus confidence, liquidity context, and quick indicators. Treat cards as beacons that help you frame scenarios and risk—never as a promise.

Decision discipline

Discipline. We build for pre-commitment: playbooks, volatility corridors, dynamic stops, and position-sizing templates. The system nudges you to define invalidation before the trade, not after.

Architecture

Architecture. Data and agentic services run as small TypeScript/Python processes behind a stable API. The website uses Next.js for rendering and WebSockets for live updates. Caches and fallbacks keep the UI responsive even during data bursts.

Security & privacy

Security and privacy. We are non-custodial; keys remain with the user. Actions are scoped by role and logged. Secrets are stored server-side, and personal data is minimized and encrypted in transit and at rest.

Roadmap

Roadmap. Public notebooks and backtests, strategy templates, a portfolio engine with attribution, smarter routing across venues, DeFi connectors, and an optional autopilot mode with strict guardrails and human checkpoints.

Community & support

Community and support. We publish weekly research notes, maintain a Telegram channel, and welcome specific requests from teams. Your feedback directly shapes the backlog—useful features ship, while shiny distractions do not.

Important

Important: subscriptions and wallet linking are handled in our Telegram bot. The website focuses on research, visualization, and documentation. Nothing here is financial advice.