Maxxit 0g

Maxxit 0G Trading

Execute portfolio-aware AI trade decisions through 0G decentralized compute, then trade perpetual futures on Ostium, Aster DEX, and Avantis DEX through Maxxit's Lazy Trading API. Alpha listings can be stored on 0G decentralized storage so buyers receive an independent rootHash verification proof.

Built-in Strategy Scripts

The skill includes standalone Python strategy scripts. Use them when the user wants the agent to run a predefined trading system instead of manually specifying each trade.

• ema-strategy.py
  • Trend-following EMA crossover on Binance klines using close prices.
• rsi-bollinger-strategy.py
  • Mean-reversion system that waits for price to pierce a Bollinger Band and re-enter with RSI confirmation.
• donchian-adx-strategy.py
  • Breakout system that trades Donchian channel breaks only when ADX confirms a strong trend regime.
• taker-strategy.py - Aggressive Taker (Order Flow) HFT strategy. Analyzes Binance taker buy/sell ratios to detect aggressive market participants and catch rapid momentum shifts.
• mean-reversion-strategy.py - RSI + Bollinger Band mean-reversion strategy. A technical approach using price exhaustion points optimized for high-frequency scalping in sideways or boring markets.
• breakout-strategy.py - Volatility breakout strategy with ATR filter. Enters trades when price breaks out of a standard deviation channel while ATR confirms increasing volatility and momentum.
• vwap-strategy.py - VWAP crossover institutional momentum strategy. Uses volume-weighted average price and EMA to confirm institutional trend alignment and confirm trade strength with volume.

All scripts:

• read Binance kline data directly from https://api.binance.com/api/v3/klines
• use MAXXIT_API_URL and MAXXIT_API_KEY
• execute through Maxxit programmatic trading endpoints
• maintain per-symbol, per-venue state in the OpenClaw workspace

Example invocations:

python3 ema-strategy.py --symbol BTCUSDT --interval 5m --venue avantis
python3 rsi-bollinger-strategy.py --symbol ETHUSDT --interval 5m --venue ostium
python3 donchian-adx-strategy.py --symbol BTCUSDT --interval 15m --venue avantis

When to Use This Skill

• User wants to execute trades on Ostium
• User wants to execute trades on Aster DEX
• User asks about their lazy trading account details
• User wants to check their USDC/ETH balance
• User wants to view their open positions or portfolio
• User wants to see their closed position history or PnL
• User wants to discover available trading symbols
• User wants market research, a market summary, or a trade-focused research brief
• User asks for a trade decision, "should I trade X", "make a decision", "AI decision", or "what does 0G think"
• User wants a portfolio-aware AI trade recommendation
• User wants their alpha listing stored on 0G decentralized storage
• User wants a whole market snapshot for the trading purpose
• User wants to open a new trading position (long/short)
• User wants to close an existing position
• User wants to set or modify take profit levels
• User wants to set or modify stop loss levels
• User wants to fetch current token/market prices
• User mentions "lazy trade", "perps", "perpetuals", or "futures trading"
• User wants to automate their trading workflow
• User wants to copy-trade or mirror another trader's positions
• User wants to discover other OpenClaw agents to learn from
• User wants to see what trades top-performing traders are making
• User wants to find high-impact-factor traders to replicate
• User wants to sell their trading signals as alpha
• User wants to browse or buy trustless alpha from ZK-verified traders
• User wants to generate a ZK proof of their trading performance or flag a position as alpha
• User mentions "alpha marketplace", "sell alpha", "buy alpha", or "ZK proof"

Skill Maintenance

• If the user asks OpenClaw to update this skill, run:

npx clawhub@latest install maxxit-0g --force

⚠️ DEX Routing Rules (Mandatory)

1. Always ask venue first if unclear: "Do you want to trade on Ostium, Aster, or Avantis?"
2. Always state the active venue explicitly in your response (e.g., "Using Ostium..." or "Using Aster..." or "Using Avantis...").
3. Do not mix venue suggestions:
   • If user is trading on Ostium, only suggest Ostium endpoints/actions.
   • If user is trading on Aster, only suggest Aster endpoints/actions.
   • If user is trading on Avantis, only suggest Avantis endpoints/actions.
4. Do not ask network clarification:
   • Ostium defaults to mainnet, but if the user explicitly asks for Ostium testnet / Arbitrum Sepolia, honor that and pass isTestnet: true on Ostium endpoints.
   • Aster is testnet-only in this setup.
   • Avantis is mainnet-only (Base chain) in this setup.
   • Therefore do not ask "mainnet or testnet?" unless the user explicitly requests Ostium testnet.
5. If user switches venue mid-conversation, confirm the switch and then continue with only that venue's flow.

⚠️ CRITICAL: API Parameter Rules (Read Before Calling ANY Endpoint)

NEVER assume, guess, or hallucinate values for API request parameters. Every required parameter must come from either a prior API response or explicit user input. If you don't have a required value, you MUST fetch it from the appropriate dependency endpoint first.

Parameter Dependency Graph

The following shows where each required parameter comes from. Always resolve dependencies before calling an endpoint.

Mandatory Workflow Rules

1. Always call /user-details first to get user_wallet (used as userAddress/address). Cache it for the session — it doesn't change.
2. Treat /user-details as identity-first. It always returns user_wallet for a valid API key, even if no lazy-trading agent exists yet.
3. /user-details is sparse. It omits fields that are empty, null, or false. Missing fields mean “not applicable” and should not be treated as an error or missing configuration by themselves.
4. Only use ostium_agent_address when the venue needs an agent. Ostium and Avantis require it. Zerodha does not. Aster only needs user_wallet, but aster_configured must be present and true.
5. Never hardcode or guess wallet addresses. They are unique per user and must come from /user-details.
6. For opening a position: Fetch current market context first (via /api/lazy-trading/research, /api/lazy-trading/indian-stocks, /market-data, or /price as appropriate), present it to the user, get explicit confirmation plus trade parameters (collateral, leverage, side, TP, SL), then execute.
   • Market format rule (Ostium): /symbols returns pairs like ETH/USD, but /open-position expects market as base token only (e.g. ETH). Convert by taking the base token before /.
7. For setting TP/SL after opening: Use the actualTradeIndex from the /open-position response. If you don't have it (e.g., position was opened earlier), call /positions to get tradeIndex, pairIndex, and entryPrice.
8. For closing a position: You need the tradeIndex — always call /positions first to look up the correct one for the user's specified market/position.
9. Ask the user for trade parameters — never assume collateral amount, leverage, TP%, or SL%. Present defaults but let the user confirm or override.
10. Validate the market exists by calling /symbols before trading if you're unsure whether a token is available on Ostium.
11. For Alpha consumer flow: Follow the exact order: /alpha/agents → /alpha/listings → /alpha/purchase (402) → /alpha/pay → /alpha/purchase (with X-Payment) → /alpha/verify → /user-details → /alpha/execute. Never skip steps. For /alpha/verify, pass the content object exactly as received from purchase — do not modify keys or values.

Pre-Flight Checklist (Run Mentally Before Every API Call)

✅ Do I have the user's wallet address? → If not, call /user-details
✅ Does this flow require an agent address? → If yes, call /user-details and verify ostium_agent_address is present
✅ Does this endpoint need a tradeIndex? → If not in hand, call /positions
✅ Does this endpoint need entryPrice/pairIndex? → If not in hand, call /positions
✅ Did I ask the user for all trade parameters? → collateral, leverage, side, TP%, SL%
✅ Is the market/symbol valid? → If unsure, call /symbols to verify
✅ (Alpha) Do I have commitment? → If not, call /alpha/agents
✅ (Alpha) Do I have listingId? → If not, call /alpha/listings
✅ (Alpha) For /verify: Am I passing content exactly as received? → No modifications
✅ (Alpha) For /execute: Do I have agentAddress + userAddress? → Call /user-details

Authentication

All requests require an API key with prefix lt_. Pass it via:

• Header: X-API-KEY: lt_your_api_key
• Or: Authorization: Bearer lt_your_api_key

Market Research Workflow

When the user asks for market research, use the Maxxit market research endpoint instead of writing the research from scratch.

Endpoint:

• POST /api/lazy-trading/research
• POST /api/lazy-trading/indian-stocks for Indian equities research queries

Rules:

• Construct the content prompt from the user's ask.
• Preserve the user's asset, timeframe, strategy, and risk focus.
• If the user is vague, build a best-effort trading research query from the context they gave instead of inventing a different objective.
• Prefer prompts that ask for market structure, trend, momentum, support/resistance, catalysts, and trading risks when relevant.
• Set deepResearch to true when the user asks for deep research, a comprehensive comparison, a detailed diligence-style breakdown, or explicitly wants more thorough research.
• Set deepResearch to false for standard market summaries, quick trade briefs, or normal tactical research requests.
• For POST /api/lazy-trading/indian-stocks, OpenClaw must decide the request options from the user's query and should not ask the user to choose chat_model, response_length, or thinking_level.
• Always send question plus the inferred request options:
  • chat_model: analytical or strategic
  • response_length: short, medium, or long
  • thinking_level: only include this when chat_model is strategic
• Use chat_model: "strategic" when the user wants a trading plan, swing-trade setups, long/short ideas, entry zones, stop loss, target levels, timing for this week, or tactical positioning. In strategic mode, include thinking_level automatically:
  • use balanced by default
  • use low for quick, lightweight tactical asks
  • use deep only when the user explicitly asks for a more thoughtful or more detailed strategy answer
• Use chat_model: "analytical" for screens, rankings, fundamentals, valuation, sector comparisons, capex-cycle beneficiaries, earnings quality, balance sheet analysis, and diligence-style research. Do not send thinking_level in analytical mode.
• Infer response_length from the user’s ask:
  • use short for quick answers, concise trade ideas, and direct setup requests
  • use medium by default for normal research requests
  • use long for ranked lists, detailed comparisons, deep dives, or multi-factor explanations
• If the user’s wording contains both analytical and tactical elements, prioritize the main deliverable. If the answer must provide actionable trade setups, choose strategic; if the answer is mainly screening, ranking, valuation, or fundamental comparison, choose analytical.
• Summarize the response and format it for readability.

Prompt construction examples:

• User: "Research BTC for a swing long."
  • Query: Analyze BTC for a swing-long setup. Cover market structure, momentum, key support/resistance, likely catalysts, invalidation levels, and major trading risks.
• User: "Give me market research on ETH for today."
  • Query: Summarize ETH market structure for today, including trend, momentum, key support/resistance, important catalysts, and trading risks for intraday positioning.
• User: "Research SOL before I short it."
  • Query: Analyze SOL for a potential short setup. Cover current market structure, weakness signals, resistance levels, downside levels to watch, catalysts, and key squeeze/invalidation risks.

Example call:

curl -L -X POST "${MAXXIT_API_URL}/api/lazy-trading/research" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" \
  -H 'Content-Type: application/json' \
  -d '{
    "content": "Analyze BTC for a swing-long setup. Cover market structure, momentum, key support/resistance, likely catalysts, invalidation levels, and major trading risks.",
    "deepResearch": false
  }'

Indian stocks example:

curl -L -X POST "${MAXXIT_API_URL}/api/lazy-trading/indian-stocks" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" \
  -H 'Content-Type: application/json' \
  -d '{
    "question": "Screen for Indian IT stocks with strong profit growth and low debt.",
    "chat_model": "analytical",
    "response_length": "medium"
  }'

Indian stocks tactical example:

curl -L -X POST "${MAXXIT_API_URL}/api/lazy-trading/indian-stocks" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" \
  -H 'Content-Type: application/json' \
  -d '{
    "question": "Which Indian banking stocks look strongest for a swing trade this week? Give long ideas only, with entry zone, stop loss, target range, and the reasoning behind each setup.",
    "chat_model": "strategic",
    "response_length": "short",
    "thinking_level": "balanced"
  }'

When discussing Indian equities, NSE/BSE orders, holdings, targets, stop losses, or portfolio values:

• use Indian rupees as the default unit
• prefer ₹ in user-facing responses (for example, ₹2,450, ₹1.2 lakh)

API Endpoints

Ostium Programmatic Endpoints (/api/lazy-trading/programmatic/*)

All endpoints under /api/lazy-trading/programmatic/* are for Ostium unless explicitly prefixed with /aster/.

Get User Details

Retrieve lazy trading user information including wallet identity, agent status, Telegram connection, and trading preferences.

curl -L -X GET "${MAXXIT_API_URL}/api/lazy-trading/programmatic/user-details" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}"

Response:

{
  "success": true,
  "user_wallet": "0x...",
  "lazy_trading_ready": true,
  "agent": {
    "id": "agent-uuid",
    "name": "Lazy Trader - Username",
    "venue": "ostium",
    "status": "active"
  },
  "telegram_user": {
    "id": 123,
    "telegram_user_id": "123456789",
    "telegram_username": "trader"
  },
  "deployment": {
    "id": "deployment-uuid",
    "status": "active",
    "enabled_venues": ["ostium"]
  },
  "trading_preferences": {
    "risk_tolerance": "medium",
    "trade_frequency": "moderate"
  },
  "ostium_agent_address": "0x...",
  "aster_configured": true
}

If the user has not set up a lazy-trading agent yet, /user-details still returns 200 and identity data, for example:

{
  "success": true,
  "user_wallet": "0x..."
}

Get Available Symbols

Retrieve all available trading symbols from the Ostium exchange. Use this to discover which symbols you can trade.

curl -L -X GET "${MAXXIT_API_URL}/api/lazy-trading/programmatic/symbols" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}"

Response:

{
  "success": true,
  "symbols": [
    {
      "id": 0,
      "symbol": "BTC/USD",
      "group": "crypto",
      "maxLeverage": 150
    },
    {
      "id": 1,
      "symbol": "ETH/USD",
      "group": "crypto",
      "maxLeverage": 100
    }
  ],
  "groupedSymbols": {
    "crypto": [
      { "id": 0, "symbol": "BTC/USD", "group": "crypto", "maxLeverage": 150 },
      { "id": 1, "symbol": "ETH/USD", "group": "crypto", "maxLeverage": 100 }
    ],
    "forex": [...]
  },
  "count": 45
}

Get Account Balance

Retrieve USDC and ETH balance for the user's Ostium wallet address.

⚠️ Dependency: The address field is the user's Ostium wallet address (user_wallet). You MUST fetch it from /user-details first — do NOT hardcode or assume any address.

curl -L -X POST "${MAXXIT_API_URL}/api/lazy-trading/programmatic/balance" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "{"address": "0x..."}"

Response:

{
  "success": true,
  "address": "0x...",
  "usdcBalance": "1000.50",
  "ethBalance": "0.045"
}

Get Portfolio Positions

Get all open positions for the user's Ostium trading account. This endpoint is critical — it returns tradeIndex, pairIndex, and entryPrice which are required for closing positions and setting TP/SL.

⚠️ Dependency: The address field must come from /user-details → user_wallet. NEVER guess it.

🔑 This endpoint provides values needed by: /close-position (needs tradeIndex), /set-take-profit (needs tradeIndex, pairIndex, entryPrice), /set-stop-loss (needs tradeIndex, pairIndex, entryPrice).

curl -L -X POST "${MAXXIT_API_URL}/api/lazy-trading/programmatic/positions" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "{"address": "0x..."}"

Request Body:

{
  "address": "0x..."  // REQUIRED — from /user-details → user_wallet. NEVER guess this.
}

Response:

{
  "success": true,
  "positions": [
    {
      "market": "BTC",
      "marketFull": "BTC/USD",
      "side": "long",
      "collateral": 100.0,
      "entryPrice": 95000.0,
      "leverage": 10.0,
      "tradeId": "12345",
      "tradeIndex": 2,
      "pairIndex": "0",
      "notionalUsd": 1000.0,
      "totalFees": 2.50,
      "stopLossPrice": 85500.0,
      "takeProfitPrice": 0.0
    }
  ],
  "totalPositions": 1
}

Key fields to extract from each position:

• tradeIndex — needed for /close-position, /set-take-profit, /set-stop-loss
• pairIndex — needed for /set-take-profit, /set-stop-loss
• entryPrice — needed for /set-take-profit, /set-stop-loss
• side — needed for /set-take-profit, /set-stop-loss

### Get Position History

Get trading history for a wallet.  
- `venue: "OSTIUM"` (default): uses Ostium history.
- `venue: "AVANTIS"`: returns normalized closed-trade history from Avantis `v2/history/portfolio/history`.

**Note:** The user's Ostium wallet address can be fetched from the `/api/lazy-trading/programmatic/user-details` endpoint (see Get Account Balance section above).

```bash
curl -L -X POST "${MAXXIT_API_URL}/api/lazy-trading/programmatic/history" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{"venue":"OSTIUM","address":"0x...","count":50}'

Request Body:

{
  "venue": "OSTIUM",    // Optional: "OSTIUM" (default) or "AVANTIS"
  "address": "0x...",   // Required for OSTIUM; also accepted for AVANTIS as alias of userAddress
  "count": 50           // Number of recent orders to retrieve (default: 50)
}

Response:

{
  "success": true,
  "history": [
    {
      "market": "ETH",
      "side": "long",
      "collateral": 50.0,
      "leverage": 5,
      "price": 3200.0,
      "pnlUsdc": 15.50,
      "profitPercent": 31.0,
      "totalProfitPercent": 31.0,
      "rolloverFee": 0.05,
      "fundingFee": 0.10,
      "executedAt": "2025-02-10T15:30:00Z",
      "tradeId": "trade_123"
    }
  ],
  "count": 25,
  "venue": "OSTIUM"
}

Avantis history example (same /history endpoint):

curl -L -X POST "${MAXXIT_API_URL}/api/lazy-trading/programmatic/history" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{"venue":"AVANTIS","userAddress":"0x...","count":50}'

Returns normalized records like: id, tradeId (<pairIndex>:<tradeIndex>), market, side, collateralUsdc, positionSizeUsdc, leverage, entryPrice, closePrice, usdcSentToTrader, grossPnlUsdc, closedAt, timestamp.

Open Position

Open a new perpetual futures position on Ostium.

⚠️ Dependencies — ALL must be resolved BEFORE calling this endpoint:

1. agentAddress → from /user-details → ostium_agent_address (NEVER guess)
2. userAddress → from /user-details → user_wallet (NEVER guess)
3. market → validate via /symbols endpoint if unsure the token exists
   • If /symbols returns ETH/USD, pass market: "ETH" to /open-position (not ETH/USD)
4. side, collateral, leverage → ASK the user explicitly, do not assume

📊 Recommended Pre-Trade Flow:

1. Call /api/lazy-trading/research for crypto trade research, or /market-data / /price for current market conditions
2. Present the market context to the user (price, structure, momentum, volatility when available)
3. Ask the user: "Do you want to proceed? Specify: collateral (USDC), leverage, long/short"
4. Only after user confirms → call /open-position

🔐 Verification Note: Every trade is analyzed by EigenAI for alignment with market conditions. Users can verify the cryptographic signatures and reasoning for all their trades at maxxit.ai/openclaw.

🔑 SAVE the response — actualTradeIndex and entryPrice are needed for setting TP/SL later.

curl -L -X POST "${MAXXIT_API_URL}/api/lazy-trading/programmatic/open-position" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "agentAddress": "0x...",
    "userAddress": "0x...",
    "market": "BTC",
    "side": "long",
    "collateral": 100,
    "leverage": 10
  }'

Request Body:

{
  "agentAddress": "0x...",      // REQUIRED — from /user-details → ostium_agent_address. NEVER guess.
  "userAddress": "0x...",       // REQUIRED — from /user-details → user_wallet. NEVER guess.
  "market": "BTC",              // REQUIRED — Base token only for Ostium (e.g. "ETH", not "ETH/USD"). Validate via /symbols if unsure.
  "side": "long",               // REQUIRED — "long" or "short". ASK the user.
  "collateral": 100,            // REQUIRED — Collateral in USDC. ASK the user.
  "leverage": 10,               // Optional (default: 10). ASK the user.
  "deploymentId": "uuid...",    // Optional — associated deployment ID
  "signalId": "uuid...",        // Optional — associated signal ID
  "isTestnet": false            // Optional. Set true only when user explicitly asks for Ostium testnet / Arbitrum Sepolia.
}

Response (IMPORTANT — save these values):

{
  "success": true,
  "orderId": "order_123",
  "tradeId": "trade_abc",
  "transactionHash": "0x...",
  "txHash": "0x...",
  "status": "OPEN",
  "message": "Position opened successfully",
  "actualTradeIndex": 2,       // ← SAVE THIS — needed for /set-take-profit and /set-stop-loss
  "entryPrice": 95000.0,        // ← SAVE THIS — needed for /set-take-profit and /set-stop-loss
  "reasoning": "Market sentiment is bullish...", // EigenAI trade alignment analysis
  "llmSignature": "0x..."       // Cryptographic signature for auditability
}

Close Position

Close an existing perpetual futures position on Ostium.

⚠️ Dependencies — resolve BEFORE calling this endpoint:

1. agentAddress → from /user-details → ostium_agent_address
2. userAddress → from /user-details → user_wallet
3. tradeIndex → call /positions first to find the position you want to close, then use its tradeIndex

NEVER guess the tradeIndex or tradeId. Always fetch from /positions endpoint.

curl -L -X POST "${MAXXIT_API_URL}/api/lazy-trading/programmatic/close-position" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "agentAddress": "0x...",
    "userAddress": "0x...",
    "market": "BTC",
    "tradeId": "12345"
  }'

Request Body:

{
  "agentAddress": "0x...",      // REQUIRED — from /user-details → ostium_agent_address. NEVER guess.
  "userAddress": "0x...",       // REQUIRED — from /user-details → user_wallet. NEVER guess.
  "market": "BTC",              // REQUIRED — Token symbol
  "tradeId": "12345",           // Optional — from /positions → tradeId
  "actualTradeIndex": 2,         // Highly recommended — from /positions → tradeIndex. NEVER guess.
  "isTestnet": false            // Optional. Set true only when user explicitly asks for Ostium testnet / Arbitrum Sepolia.
}

Response:

{
  "success": true,
  "result": {
    "txHash": "0x...",
    "market": "BTC",
    "closePnl": 25.50
  },
  "closePnl": 25.50,
  "message": "Position closed successfully",
  "alreadyClosed": false
}

Set Take Profit

Set or update take-profit level for an existing position on Ostium.

⚠️ Dependencies — you need ALL of these before calling:

1. agentAddress → from /user-details → ostium_agent_address
2. userAddress → from /user-details → user_wallet
3. tradeIndex → from /open-position response → actualTradeIndex, OR from /positions → tradeIndex
4. entryPrice → from /open-position response → entryPrice, OR from /positions → entryPrice
5. pairIndex → from /positions → pairIndex, OR from /symbols → symbol id
6. takeProfitPercent → ASK the user (default: 0.30 = 30%)
7. side → from /positions → side ("long" or "short")

If you just opened a position: Use actualTradeIndex and entryPrice from the /open-position response. If the position was opened earlier: Call /positions to fetch tradeIndex, entryPrice, pairIndex, and side.

curl -L -X POST "${MAXXIT_API_URL}/api/lazy-trading/programmatic/set-take-profit" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "agentAddress": "0x...",
    "userAddress": "0x...",
    "market": "BTC",
    "tradeIndex": 2,
    "takeProfitPercent": 0.30,
    "entryPrice": 90000,
    "pairIndex": 0
  }'

Request Body:

{
  "agentAddress": "0x...",        // REQUIRED — from /user-details. NEVER guess.
  "userAddress": "0x...",         // REQUIRED — from /user-details. NEVER guess.
  "market": "BTC",                // REQUIRED — Token symbol
  "tradeIndex": 2,                // REQUIRED — from /open-position or /positions. NEVER guess.
  "takeProfitPercent": 0.30,       // Optional (default: 0.30 = 30%). ASK the user.
  "entryPrice": 90000,             // REQUIRED — from /open-position or /positions. NEVER guess.
  "pairIndex": 0,                  // REQUIRED — from /positions or /symbols. NEVER guess.
  "side": "long",                  // Optional (default: "long") — from /positions.
  "isTestnet": false              // Optional. Set true only when user explicitly asks for Ostium testnet / Arbitrum Sepolia.
}

Response:

{
  "success": true,
  "message": "Take profit set successfully",
  "tpPrice": 117000.0
}

Set Stop Loss

Set or update stop-loss level for an existing position on Ostium.

⚠️ Dependencies — identical to Set Take Profit. You need ALL of these before calling:

1. agentAddress → from /user-details → ostium_agent_address
2. userAddress → from /user-details → user_wallet
3. tradeIndex → from /open-position response → actualTradeIndex, OR from /positions → tradeIndex
4. entryPrice → from /open-position response → entryPrice, OR from /positions → entryPrice
5. pairIndex → from /positions → pairIndex, OR from /symbols → symbol id
6. stopLossPercent → ASK the user (default: 0.10 = 10%)
7. side → from /positions → side ("long" or "short")

If you just opened a position: Use actualTradeIndex and entryPrice from the /open-position response. If the position was opened earlier: Call /positions to fetch tradeIndex, entryPrice, pairIndex, and side.

# Same dependency resolution as Set Take Profit (see above for full example)
# Step 1: Get addresses from /user-details
# Step 2: Get position details from /positions
# Step 3: Set stop loss with user-specified stopLossPercent

curl -L -X POST "${MAXXIT_API_URL}/api/lazy-trading/programmatic/set-stop-loss" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "agentAddress": "0x...",
    "userAddress": "0x...",
    "market": "BTC",
    "tradeIndex": 2,
    "stopLossPercent": 0.10,
    "entryPrice": 90000,
    "pairIndex": 0,
    "side": "long"
  }'

Request Body:

{
  "agentAddress": "0x...",        // REQUIRED — from /user-details. NEVER guess.
  "userAddress": "0x...",         // REQUIRED — from /user-details. NEVER guess.
  "market": "BTC",                // REQUIRED — Token symbol
  "tradeIndex": 2,                // REQUIRED — from /open-position or /positions. NEVER guess.
  "stopLossPercent": 0.10,         // Optional (default: 0.10 = 10%). ASK the user.
  "entryPrice": 90000,             // REQUIRED — from /open-position or /positions. NEVER guess.
  "pairIndex": 0,                  // REQUIRED — from /positions or /symbols. NEVER guess.
  "side": "long",                  // Optional (default: "long") — from /positions.
  "isTestnet": false              // Optional. Set true only when user explicitly asks for Ostium testnet / Arbitrum Sepolia.
}

Response:

{
  "success": true,
  "message": "Stop loss set successfully",
  "slPrice": 81000.0,
  "liquidationPrice": 85500.0,
  "adjusted": false
}

Get All Market Data

Retrieve the complete market snapshot from Ostium, including all symbols and their current metrics. This is useful for market-wide scanning or analysis in a single request.

curl -L -X GET "${MAXXIT_API_URL}/api/lazy-trading/programmatic/market-data" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}"

Response:

{
  "success": true,
  "data": [
    {
      "id": 0,
      "symbol": "BTC/USD",
      "group": "crypto",
      "maxLeverage": 150,
      "metrics": {
        "price": "95000.12345678",
        "percent_change_24h": 2.45,
        "volatility": 0.032,
        "volume_24h": "45000000000.00000000",
        "market_cap": "1850000000000.00000000"
      },
      "updated_at": "2026-02-14T08:30:00.000Z"
    },
    ...
  ],
  "count": 45
}

Get Token Price

Fetch the current market price for a token from Ostium price feed.

curl -L -X GET "${MAXXIT_API_URL}/api/lazy-trading/programmatic/price?token=BTC&isTestnet=false" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}"

Query Parameters:

Response:

{
  "success": true,
  "token": "BTC",
  "price": 95000.0,
  "isMarketOpen": true,
  "isDayTradingClosed": false
}

Discover Traders to Copy (Copy Trading — Step 1)

Discover other OpenClaw Traders and top-performing traders to potentially copy-trade. This is the first step in the copy-trading workflow — the returned wallet addresses are used as the address parameter in the /copy-trader-trades endpoint.

⚠️ Dependency Chain: This endpoint provides the wallet addresses needed by /copy-trader-trades. You MUST call this endpoint FIRST to get trader addresses — do NOT guess or hardcode addresses.

🚫 Self-copy guard: Never use your own user_wallet from /user-details as a copy-trader address.

# Get all traders (OpenClaw + Leaderboard)
curl -L -X GET "${MAXXIT_API_URL}/api/lazy-trading/programmatic/copy-traders" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}"

# Get only OpenClaw Traders (prioritized)
curl -L -X GET "${MAXXIT_API_URL}/api/lazy-trading/programmatic/copy-traders?source=openclaw" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}"

# Get only Leaderboard traders with filters
curl -L -X GET "${MAXXIT_API_URL}/api/lazy-trading/programmatic/copy-traders?source=leaderboard&minImpactFactor=50&minTrades=100" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}"

Query Parameters:

Response:

{
  "success": true,
  "openclawTraders": [
    {
      "agentId": "3dbc322f-...",
      "agentName": "OpenClaw Trader - 140226114735",
      "creatorWallet": "0x4e7f1e29d9e1f81c3e9249e3444843c2006f3325",
      "venue": "OSTIUM",
      "status": "PRIVATE",
      "isCopyTradeClub": false,
      "performance": {
        "apr30d": 0,
        "apr90d": 0,
        "aprSinceInception": 0,
        "sharpe30d": 0
      },
      "deployment": {
        "id": "dep-uuid",
        "status": "ACTIVE",
        "safeWallet": "0x...",
        "isTestnet": true
      }
    }
  ],
  "topTraders": [
    {
      "walletAddress": "0xabc...",
      "totalVolume": "1500000.000000",
      "totalClosedVolume": "1200000.000000",
      "totalPnl": "85000.000000",
      "totalProfitTrades": 120,
      "totalLossTrades": 30,
      "totalTrades": 150,
      "winRate": 0.80,
      "lastActiveAt": "2026-02-15T10:30:00.000Z",
      "scores": {
        "edgeScore": 0.82,
        "consistencyScore": 0.75,
        "stakeScore": 0.68,
        "freshnessScore": 0.92,
        "impactFactor": 72.5
      },
      "updatedAt": "2026-02-17T06:00:00.000Z"
    }
  ],
  "openclawCount": 5,
  "topTradersCount": 20
}

Key fields to use in next steps:

• openclawTraders[].creatorWallet → use as address in /copy-trader-trades
• topTraders[].walletAddress → use as address in /copy-trader-trades
• Exclude any address equal to your own /user-details.user_wallet

Get Trader's Recent Trades (Copy Trading — Step 2)

Fetch recent on-chain trades for a specific trader address. This queries the Ostium subgraph in real-time for fresh trade data.

⚠️ Dependency: The address parameter MUST come from the /copy-traders endpoint response:

• For OpenClaw traders: use creatorWallet from openclawTraders[]
• For leaderboard traders: use walletAddress from topTraders[]

NEVER guess or hardcode the address. Always call /copy-traders first.

# Step 1: Discover traders first
TRADER_ADDRESS=$(curl -s -L -X GET "${MAXXIT_API_URL}/api/lazy-trading/programmatic/copy-traders?source=openclaw" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}" | jq -r '.openclawTraders[0].creatorWallet')

# Step 2: Fetch their recent trades
curl -L -X GET "${MAXXIT_API_URL}/api/lazy-trading/programmatic/copy-trader-trades?address=${TRADER_ADDRESS}" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}"

# With custom lookback and limit
curl -L -X GET "${MAXXIT_API_URL}/api/lazy-trading/programmatic/copy-trader-trades?address=${TRADER_ADDRESS}&hours=48&limit=50" \
  -H "X-API-KEY: ${MAXXIT_API_KEY}"

Query Parameters:

Response:

{
  "success": true,
  "traderAddress": "0x4e7f1e29d9e1f81c3e9249e3444843c2006f3325",
  "trades": [
    {
      "tradeId": "0x123...",
      "side": "LONG",
      "tokenSymbol": "BTC",
      "pair": "BTC/USD",
      "collateral": 500.00,
      "leverage": 10.0,
      "entryPrice": 95000.50,
      "takeProfitPrice": 100000.00,
      "stopLossPrice": 90000.00,
      "timestamp": "2026-02-17T14:30:00.000Z"
    }
  ],
  "count": 5,
  "lookbackHours": 24
}

Trade Field Descriptions:

Next step: After reviewing the trades, use /open-position to open a similar position. You'll need your own agentAddress and userAddress from /user-details.

Signal Format Examples

The lazy trading system processes natural language trading signals. Here are examples:

Opening Positions

• "Long ETH with 5x leverage, entry at 3200"
• "Short BTC 10x, TP 60000, SL 68000"
• "Buy 100 USDC worth of ETH perpetual"

With Risk Management

• "Long SOL 3x leverage, entry 150, take profit 180, stop loss 140"
• "Short AVAX 5x, risk 2% of portfolio"

Closing Positions

• "Close ETH long position"
• "Take profit on BTC short"

Complete Workflow Examples

These are the mandatory step-by-step workflows for common trading operations. Follow these exactly.

0G Decision Workflow

Use this workflow when the user says "should I trade [token]", "make a decision", "AI decision", "what does 0G think about [token]", or asks for a portfolio-aware recommendation.

Step 1: GET /user-details
   → Extract: user_wallet and deploymentId/deployment_id if present
   → If deploymentId is not returned directly, use the active lazy-trading deployment ID from the setup/status context

Step 2: POST /api/lazy-trading/research
   → Run market research for the token
   → Summarize the output into 2-3 sentences
   → Include all relevant market data in this summary because /alpha/0g-decision does not fetch market data separately

Step 3: POST /alpha/0g-decision
   → Body: {
       "deploymentId": "{deploymentId from Step 1}",
       "tokenSymbol": "{token}",
       "marketResearchSummary": "{market + r

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