From Zero to Trading in 3 Steps
1. Describe Your Strategy
Tell ZoneIn what you want in plain English — via Telegram Bot, the API, or the OpenClaw skill. No infrastructure engineering needed — just describe your trading intent.“I want a BTC swing trader with 5x leverage. Use conservative risk — max 2% per trade. Follow top whale cluster signals and only enter when funding rate is negative.”ZoneIn translates your intent into a fully configured agent: strategy preset, leverage, stop-loss, take-profit, signal filters, risk parameters, timeframe — all structured automatically from natural language. Works via Telegram Bot or the ZoneIn API. Natural language → structured policy in seconds.
2. Backtest & Validate
Before risking capital, run full-stack backtests on your strategy with real market data. See PnL, win rate, drawdown, and every individual trade — all simulated against actual historical signals and OHLC prices. The backtest gives you concrete numbers: Sharpe ratio, max drawdown, profit factor, best/worst trade, equity curve, and daily PnL breakdown. If the numbers don’t work, refine your strategy and re-test — before deploying a single dollar.3. Deploy & Evolve
Your agent goes live immediately on Hyperliquid via a non-custodial vault. But deployment isn’t the end — it’s the beginning. After every trade, the Learning Engine runs post-trade analysis and suggests parameter improvements. Your agent evolves from v1 → v2 → v3 automatically — adapting to market conditions, learning from failures, and getting sharper with every trade cycle. Three ways in:- Telegram Bot — Describe your strategy in chat, approve trades with one tap
- OpenClaw Skill —
npx clawhub@latest install zonein— full access from any MCP-compatible AI assistant - REST API — Programmatic agent creation, backtesting, and management
Explore the Platform
Already installed? Here’s what’s behind the signals your AI assistant is querying.AI Dashboard
Visit app.zonein.xyz — assets ranked by composite conviction score across four markets:- Perpetual Futures — The deepest signal stack. SM consensus + TA + derivatives flow
- Spot Holdings — What smart money is accumulating before narratives break
- HIP-3 DEX — SM activity on Hyperliquid’s builder-deployed perpetual DEXes
- Prediction Markets — Where top-ranked Polymarket traders place conviction bets
Position Graphs
Open any Position Graph to see the full topology of smart money — every tracked wallet connected to every position they hold.- Perp — Who’s LONG, who’s SHORT, with how much leverage
- Spot — Who’s accumulating what, and whether they’re in profit
- PM — Which top prediction market traders agree on the same outcomes
- HIP-3 — SM positions on DEXes most traders don’t even monitor
Deploy Your First Agent
Ready to act on the signals? Deploy an agent that trades on Hyperliquid 24/7, using the same intelligence you see on the dashboard.Set up
- Get your API key (if you haven’t already) — sign up at app.zonein.xyz, generate a
zn_key. Public endpoints (dashboard signals, TA, derivatives) require no auth. SM data, PM data, and agents do - Pick a strategy preset — Scalping Pro, Momentum Hunter, Swing Trader, Whale Follower, Stable Grower, Precision Master, or Composite — each tuned with optimized timeframe weights and risk parameters
- Choose your mode — Auto (executes immediately) or HITL (sends trade plans to Telegram for your approval)
- Backtest first — Run historical simulations against real signals and OHLC prices before risking capital
- Fund your vault — Send USDC to your agent’s Arbitrum address. Gas is sponsored by ZoneIn — no ETH needed
- Enable — The agent starts monitoring signals and executing (or proposing) trades
Connect Telegram
Two minutes to set up — essential for HITL mode and trade notifications:- Create a bot via @BotFather — get the bot token
- Run
telegram-setup --token YOUR_BOT_TOKEN - Send
/startto your bot
Go Deeper
- AI Dashboard — How signal fusion, SM liquidation maps, and conviction decomposition work
- Smart Money Analytics — Wallet profiling, behavioral clusters, credibility scoring
- Position Graphs — Graph types, use cases, and what consensus looks like
- Trading Agents — Custom triggers, policy layers, the daily learning cycle
- MCP API & Integrations — REST API, OpenClaw skill, Claude Desktop, Telegram bot
- Full API Reference — Every endpoint documented

