Roadmap

• • Smart CEX/DEX routing with slippage control, splits, and latency-aware execution
• • Explainable AI signals: probability, amplitude, horizons, confidence factors, TP/SL
• • Portfolio panels: PnL attribution, risk budgets, “mark-out,” impact metrics
• • Backtests and replays on historical streams directly on the chart
• • Risk limiters: limits, time-in-force, kill-switch, dynamic stop corridors
• • Data unification: 87 TB of histories, 37+ billion candles, 200+ indicators and regime filters
• • Wallet connection, non-custodial model, and logged action audit
• • H2 2026: public launch of L7 Exchange core and next-generation L7 blockchain

Vision: next-generation L7 Exchange

L7 Exchange is an agent-based pipeline where autonomous L7 agents consume market feeds, on-chain events, news, and behavioral microstructure signals, synchronize them in time, and output explainable recommendations (BUY/SELL/HOLD) with probability, amplitude, horizon, and risk context (liquidity, spread, dispersion, anomalies). For the user, this means decision reproducibility: each signal card is accompanied by a log of factors, model versions, and links to primary sources.

Identity — through non-custodial wallets (we do not store private keys or seed phrases). Access rights, quotas, and limits are synchronized between the web interface and MiniApp. Execution of actions — only within user-defined limiters and with sufficient model confidence. The platform principle is provability, not a “black box.”

Institutional-grade data: 87 TB of histories, 37+ billion candles, contract and symbol unification, latency-aware stream processing, gap cleaning, accounting for splits and derivative specifics. On top — ensembles of 200+ indicators (RSI/ADX/ATR/VWAP/OBV/Ichimoku/volume clusters, regime filters, etc.), behavioral features, and micro-imbalance statistics.

H2 2026 — target window for public launch of the L7 Exchange core along with the next-generation L7 blockchain (inter-network coordination layer). At launch — cross-exchange routing, explainable auto-execution, and later — expansion toward on-chain clearing and native smart access rights.

Routing and liquidity

The smart router simultaneously scans liquidity on CEX/DEX, models slippage, fees, and delays, selects the venue/split route, and controls execution quality via target metrics (expected fill, adverse selection, mark-out over N seconds/minutes). In split mode, orders are fragmented and distributed across pools/books to minimize impact.

Latency matters: we support cancel/replace, timeouts, “kill-switch,” partial take-profit rules, and reactions to spread dispersion spikes. In arbitrage scenarios, tick synchronization windows and low-latency connections are used.

Market microstructure: we analyze order imbalances, hidden volume spikes, level-by-level liquidity, the influence of news/on-chain events, behavior of “aggressive” prints, and slippage probability relative to notional size.

Risk and control

Global and instrument-level limits: by notional, portfolio share, daily/weekly drawdown, leverage, and concentration. Execution profiles (conservative/balanced/aggressive) and minimum required model confidence. All triggers are transparently described and logged for audit. Every action is explainable: reason, input data, model versions, and execution parameters.

Conditional orders (stop/stop-limit), time-in-force (GTC/IOC/FOK), partial take-profit directives, dynamic stop corridors by volatility regime (ATR-like), “circuit-breaker” during anomalies, night “silences,” and event blocks (e.g., high-impact news).

Anti-pump and anti-spike: extra checks of spread/liquidity, deviation thresholds from fair price, ban on “averaging into the abyss,” emergency forced de-escalation level when the environment becomes “not suitable for trading.”

Analytics and explainability

AI-Box for each symbol/TF displays confidence level, decision factors (from relative position to VWAP/bands to RSI/volume cluster regimes), amplitude and historical horizons (quantiles), and recommended TP/SL. Presentation is compact but verifiable: numbers, not metaphors.

Explainability by design: cause ➜ effect. The card contains factor weights, links to sources, snapshot of books/volumes, and “what-if” mini-simulations. The goal is to give the trader a transparent decision skeleton that can be reproduced and challenged.

News/narratives: multilingual parsing, translation, deduplication, AI tonality, source trust, and correlation with price reaction. This is not “noise” but context for assessing scenario probability and execution windows.

Portfolio, reporting, and attribution

Portfolio panels with PnL attribution: decomposition by alpha sources, market regimes, symbols, risk budgets, and model decisions. “Mark-out” and impact metrics are calculated separately to distinguish “luck” from systematic performance.

Trade journals, export, reports, APIs for integrations. Research reproducibility: backtests and “replay” on historical streams directly over the chart. “Strategy templates” and “one-click” deployment with limiters.

Team modes (roadmap): roles, permissions, parameter coordination, centralized reports, white-label and private deployments for enterprise.

Data and network infrastructure

Feed unification: cross-exchange aggregation, normalization of ticks and depth to a common schema, gap filling, handling of splits and contract changes. On top — ensembles of 200+ indicators, behavioral/regime filters, and microstructural features. Historical layer — 87 TB, over 37 billion candles.

On-chain layer: address graphs, holder concentration, liquidity inflows/outflows, bridge movements, basic MEV risks. Public blockchains are not personal data; operational logs (within legal limits) help ensure reliability and incident investigation.

Network stack: optimized connections to liquidity and market data providers, degradation strategy without losing critical functions, hot/warm caches, prioritization of VIP processing channels. All computation stages are traceable.

Security and compliance

Non-custodial model: keys remain with the user, authorization — by signature. Role-based access, minimization of personal data, encryption “in transit” and “at rest,” anti-fraud/anti-sybil pipelines. Action logging for audit and reproducibility.

Regulatory context: we provide analytics and tools, not financial advice. Subscription payment via NowPayments with on-chain confirmation — automatic activation of limits/rights without manual “checks.” Privacy and logging policies are transparent and regularly updated.

Execution limiters are discipline, not guarantee. The market is volatile; decisions and compliance with jurisdictional requirements rest on the user. We provide frameworks, metrics, and explainability so that risk is conscious.

Roadmap and launch

H2 2026: public launch of the L7 Exchange core and next-generation L7 blockchain — inter-network coordination layer designed to simplify clearing and access rights at the smart contract level, as well as improve execution observability. Main focus — liquidity routing, explainable auto-execute, portfolio attribution, and team modes.

QCoin — the internal economy of the L7 ecosystem. The roadmap includes QCoin’s role in payment and incentive processes within the ecosystem. The goal is a unified “settlement layer” between analytics, execution, and user services.

Before the public release — extended betas, stress tests, stability reports, and open logged results on execution quality and latency. Transparency is the core of trust.