Welcome to the Quantum L7 AI Universe

Why Quantum L7 AI

Quantum L7 AI is a cross-platform ecosystem: the AI core, autonomous L7 agents, on-chain monitoring, normalized market feeds, the forum social network, and the QCoin economy are combined into a single computational fabric. Every artifact — a transaction, a news narrative, a post, a liquidity chart — enters the common data loop and becomes a call to action.

L7 agents autonomously read documents and APIs, observe blockchains and order books, classify behavioral patterns, assess market regimes, and produce verifiable hypotheses. The result is not a “black box” but an explainable card: scenario probability, amplitude, horizons, SL/TP, confidence factors, and links to primary sources.

Authorization is via non-custodial wallets: we do not store private keys and only confirm ownership of the address. Access rights and quotas are synchronized between the Telegram MiniApp, the web interface, and the QL7 bot; VIP status marks the boundaries of limits and lets you into priority processing channels.

The market core is built on cross-exchange aggregation, unification of symbols/contracts, and latency-aware feed processing. We combine institution-level histories with real-time streams to track spread dispersion, shock volumes, order balance, MEV risks, and the effect of the news impulse.

The platform principle is provability: hypothesis → test → evidence. Every computation is logged, metrics are reproducible, and “noise” arbitrage is cut off by regime filters. This is how we turn raw data into disciplined decisions and intuition into verifiable tactics.

The forum is embedded into the loop: content passes AI scoring (quality, engagement, anti-spam/anti-sybil), and activity is mapped into the QCoin economy. This is not a “social network for likes” but a targeted cognitive bus where knowledge and contribution are converted into tokenized value.

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What you get

• • Next-generation quantum analytics: a symbiosis of AI intelligence, on-chain metrics, and microstructural market features.
• • Alpha signals with probability of execution, amplitude, and horizon, plus transparent justification of confidence factors.
• • A normalized cross-exchange data core: unification of symbols/contracts, liquidity, spreads, and tick frequency.
• • On-chain monitoring: holder distribution, flows through bridges, CEX/DEX liquidity, basic MEV patterns.
• • Global exchange (core in development): liquidity routing, slippage protection, contextual risk assessment.
• • Auto-execute: execution with fail-safe triggers, dynamic stops, and emergency shutdown on anomalies.
• • Portfolio dashboards: PnL attribution, risk budgets, volatility regimes, corridors, and position sizing discipline.
• • Replicable research: backtests, notebooks, visual reports, what-if scenarios, and exposure of assumptions.
• • Narrative feed: AI tonality, embeddings, source trust, and linking news to price metrics.
• • Forum economy: AI moderation, QCoin mining for contribution and activity, media posting with algorithmic scoring.
• • VIP program: removal of daily quotas in the AI Box, extended limits, priority processing, and X2 for QCoin on quests/time.
• • Integrations: Telegram MiniApp, web, QL7 bot; single session, shared status, and coordinated access rights.
• • API/SDK/Webhooks: secure integrations, sandbox mode, event-driven architecture for teams and automation.
• • Multichain stack: Ethereum, BSC, Polygon, Solana, TON, Avalanche, etc.; bridging and accounting for network specifics.
• • Legally vetted Web3 architecture: logging, role separation, cryptographic verification, and privacy.

Infrastructure and data

Market data: we combine historical and streaming CEX/DEX feeds, bring them to a common schema, close gaps, and account for splits and derivative specifics. On top — ensemble indicators (RSI/ADX/ATR/VWAP/OBV/Ichimoku/volume clusters), regime filters, and liquidity context.

On-chain layer: address graphs, liquidity movements, holder concentrations, bridge events, basic MEV risks. Public blockchains are not personal data, but we carefully log requests and debug IDs for reliability and incident investigation.

Narratives and news: multilingual indexing, translation, deduplication, source scoring, assessment of novelty and covariations with price; the result is a light numerical overlay next to price and volume that helps distinguish noise from a meaningful impulse.

Storage and cache: splitting streams into hot/warm, graceful degradation without loss of critical functions, prioritization of channels for VIP and system tasks. All computation stages have traceability, artifact version control, and reproducibility.

Security and compliance

Non-custodial model: private keys and seed phrases remain with the user. Authorization is by signature; access is role-based, logged, and audited. Minimization of personal data, encryption in transit and at rest, anti-fraud/anti-sybil pipelines.

Legal clarity: we provide analytics and tools, not financial advice. The payment flow through NowPayments with on-chain confirmation activates the subscription automatically; the status is synchronized across MiniApp/web/bot. Privacy and logging policies are transparent and updated.

Execution limiters: sanity checks, limits, emergency stop triggers, and anomaly monitoring. These are instruments of discipline, not a guarantee of result; trading involves risk, decisions are on the user side.

Integrations: MiniApp • Bot • Forum • Exchange

The Telegram MiniApp and the web work as mirror interfaces with a single session and rights. The QL7 bot is a lightweight entry into the AI channel and notifications. The forum is not just a community: it is a cognitive bus where knowledge and contribution are converted into QCoin, and VIP content passes priority AI scoring.

Exchange (core in the final stage): order routing, contextual assessment of slippage, on-chain execution where applicable, and extended backtest/what-if modes for VIP. Integration with analytics gives a rare effect — the signal knows “how” it will be executed.

For teams and developers

• • API/SDK/Webhooks with a secure token model and key rotation.
• • Event-driven integrations, sandbox environments, connectors to on-chain/off-chain sources.
• • White-Label and Enterprise modes: SSO, private deployments, SLA, change windows.
• • Notebooks/backtests: artifact export, reports, reproducibility of experiments.
• • Deep feature acceptance and performance metrics for product teams.