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ZoneIn Roadmap

Our mission is to build the definitive intelligent agentic platform for the on-chain economy. This roadmap outlines our vision for the future, detailing how Zonein will evolve to become an indispensable partner for traders and investors by delivering more powerful insights with progressively less direct input from the user.

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The Vision

The ultimate goal is to transition Zonein from a powerful analysis tool into a proactive, autonomous intelligence co-pilot. We envision a future where your Zonein agent swarm not only observes and orients but can, with your explicit permission and within strict, user-defined guardrails, recommend and execute actions. This means doing more with less—anticipating your research needs, identifying opportunities before you even think to look for them, and managing portfolio risks 24/7, far beyond human capacity.

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Technical Roadmap

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Phase 1 — Suggestion Engine powering all surfaces

Objective: Deliver explainable, high‑conviction recommendations.
  • Signals and Features
    • On‑chain + 3D Graph (Smart‑Trader Zones & Playbooks): Detect smart‑trader zones and extract repeatable playbooks (entries, SL/TP, leverage, routes) to power explainable recommendations.
    • Technicals & Derivatives: EMA/RSI/MACD, ATR stops, S/R confluence; funding/OI/liquidations/basis
    • Social & Intel: X sentiment (topic/entity), influencer breadth; unlocks/upgrades/ETF/whale flows
    • Assistant & Alerts: in‑app assistant (chat/query on suggestions) and Telegram alerts for triggers (Flow‑Confirmed zones, key level breaks, onchain signals)
Checkpoints
  • CP1.0: UI/UX completion: all dashboard surfaces fully implemented with responsive design and consistent styling.
  • CP1.1: 60%+ suggestions carry graph‑driven evidence; ≥ 40% tagged Flow‑Confirmed
  • CP1.2: Backtest 180d — Sharpe ≥ 1.2, max DD ≤ 18%, hit‑rate ≥ 48%, PF ≥ 1.3
  • CP1.3: Latency — P95 /graph/flows < 1000ms; P95 /suggestions < 2000ms
  • CP1.4: Smart‑trader coverage ≥ 5k labeled; precision audit ≥ 85%
  • CP1.5: UI CTR: Apply ≥ 12%; “View details” ≥ 25%; Telegram alert opt‑in conversion ≥ 15%, alert→click ≥ 20%
Go/No‑Go: CP1.0 must pass first; if CP1.2/CP1.3 fail, re‑weight/optimize then re‑backtest before Phase 2.

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Phase 2 — Web3 On‑Chain Actions (CTA Execution)

Objective: Enable users to execute on‑chain actions directly from CTA buttons with safe, clear UX.
  • Wallets & Connectivity
    • EVM: WalletConnect v2, MetaMask; Solana: Phantom, Solflare
    • Session persistence, multi‑account support
  • CTA → Action Mapping (by surface)
    • Spot: Buy/Sell via DEX aggregators (Jupiter on Solana) with slippage caps
    • Perps: Open/Close/Reduce on Drift (Solana); pass Entry/TP/SL/Leverage/Size
    • Yield: Stake/Unstake (Lido/Jito), Supply/Withdraw (Aave/Solend), LP/Farm (Raydium/Orca)
  • Checkpoints
    • CP2.1: TX success rate ≥ 90% across supported flows; failed TX have actionable error messages
    • CP2.2: P95 CTA→confirmation < 80s; data refresh (state sync) < 5s after confirmation
    • CP2.3: Slippage/price impact guards active
Go/No‑Go: Roll out progressively (feature flags) only if CP2.1–2.3 pass in staging and limited beta.

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Phase 3 — Vault + Execution

Objective: Map CTAs to safe execution (paper → small capital) with an explanatory X agent.
  • Orchestrator & Connectors
    • Paper‑trade simulator (fees/slippage) → CEX API / Jupiter / Drift connectors
    • Guardrails: per‑trade ≤ 1% NAV, leverage caps per asset, circuit breakers on volatility/liquidity
    • Accounting: NAV, PnL, fees, audit log, scheduled rebalancing
  • X Agent
    • Posts open/close/resize with Entry/TP/SL + 1–2 data reasons
  • Effectiveness & Evaluation
    • Benchmarks: BTC, ETH, SOL, 60/40 alt basket; report both net and gross performance.
    • Risk‑adjusted metrics: live 30d Sharpe, Sortino, Max Drawdown, Calmar.
    • Trade stats: Hit‑rate, Profit Factor, Average win/loss, Expectancy.
    • Tracking & execution quality: tracking error vs suggestions, slippage P50/P95, fill rate, CTA→confirm latency P95.
    • Capacity & stability: turnover, position concentration, capacity stress tests.
    • Attribution: by signal bucket (Flow‑Confirmed / TA / Social‑Intel), by asset and venue.
    • Reporting cadence: daily telemetry, weekly vault report; drift alert if deviation > 2σ from backtest.
  • Checkpoints
  • CP2.1: Paper‑vault tracks ≥ 95% of suggestions; tracking error < 35 bps
  • CP2.2: Sandbox ≤ $5k; avg slippage < 25 bps; 7 days, 0 failed orders
  • CP2.3: X agent: 0 rate‑limit strikes in 14 days; posts include data links
  • CP2.4: Security review pass; 24/7 alerts; tested rollback
  • Performance KPIs (live 30d)
  • CP3.5: Sharpe ≥ 1.0; Max Drawdown within policy; Profit Factor ≥ 1.2; Hit‑rate ≥ 45%.
  • CP3.6: Tracking error < 50 bps/day; slippage P50 < 25 bps, P95 < 60 bps; execution success ≥ 98%.
  • CP3.7: Costs within budget (fees/funding/gas); 0 drift alerts over last 7 days.
Go/No‑Go: Public rollout only on CP3.2–3.4 pass and meeting performance KPIs CP3.5–3.7.

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Phase 4 — Multi‑Vault & Personalization

Objective: Curate multiple vaults with user personalization, safe scaling, and clear economics.
  • Vault lineup (v1)
    • Conservative Yield (LST + lending) — low risk; guardrail: Sharpe ≥ 1.0
    • Momentum Spot (BTC/ETH/SOL rotation) — medium risk; DD ≤ policy
    • Trend Perp (strict SL) — high risk; leverage caps per asset
    • Meme Rotation (capped) — very high risk; small AUM cap
    • Market‑Neutral (funding/basis/hedged LP) — low/medium risk
  • Personalization & onboarding
    • Risk questionnaire → map to eligible vaults, per‑vault size caps
    • Region gating, minimum capital, optional lockups; DCA plans, auto‑reinvest
  • Subscription & economics
    • Fee model: management + performance with high‑water mark
    • Subscribe/unsubscribe (partial in/out), pro‑rata accounting, cut‑off windows
  • Capacity & scaling
    • Per‑vault AUM caps, cohort admissions, waitlist; position concentration rules
    • Venue liquidity checks before rebalance; throttle under stress
  • Rebalancing & exposure hygiene
    • Scheduled + drift‑based + event‑driven rebalancing; drift tolerance per vault
    • Cross‑vault netting to avoid duplicate exposures and reduce fees
  • Compliance & safety
    • Disclaimers, restricted geos, (optional) KYC/AML; feature flags per vault
    • Canary, kill‑switch, immutable audit logs
  • Telemetry & reporting
    • Vault factsheets (live/backtest), weekly reports; user statements; CSV/tax exports
Checkpoints
  • CP4.1: ≥ 3 vaults live 30d, uptime > 99%, 0 failed orders, DD within policy
  • CP4.2: Retention ≥ 70%, complaint rate < 2%, two vaults fill caps < 7 days
  • CP4.3: AUM growth ≥ 15% m/m (net inflows), subscribe conversion ≥ 8%
  • CP4.4: Performance guardrails met per vault (e.g., Sharpe ≥ 1.0 or vault‑specific), 0 drift alerts in last 7d
Go/No‑Go: Scale caps and add vaults only if CP4.1–CP4.4 are met.

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KPIs by Surface

  • Apply Complete Strategy CTR ≥ 12%
  • Rec Carousel Open/Buy CTR ≥ 12% | Modal open ≥ 25%
  • Perps ROE accuracy: backtest vs live error < 5%
  • Yield data freshness < 10 minutes; pool changes alerting < 2 minutes
  • Web3 CTA: TX success ≥ 97%; P95 CTA→confirmation < 80s; state sync < 5s