maxxit-lazy-trading_skill

Overview

This skill executes perpetual futures trades on Ostium using Maxxit's Lazy Trading API. It provides programmatic endpoints to open and close positions, manage take profit / stop loss, fetch balances, positions, symbol lists, and LunarCrush market metrics. The skill is designed for automated workflows while enforcing required safety and parameter-resolution steps.

How this skill works

It calls Maxxit programmatic endpoints (club-details, symbols, lunarcrush, balance, positions, open-position, history, set-take-profit, set-stop-loss, close-position) in a prescribed sequence. Always fetch club-details first to obtain the user wallet and agent address, validate symbols via /symbols, fetch market data for pre-trade analysis, collect explicit trade parameters from the user, then execute trade endpoints. Responses contain required indices (tradeIndex, pairIndex, entryPrice, actualTradeIndex) that must be saved and used for later TP/SL or close operations.

When to use it

• User wants to execute perpetual trades on Ostium
• User needs account details, USDC/ETH balance, or portfolio positions
• User wants market data or LunarCrush metrics for a symbol
• User wants to open, close, or modify a position (TP/SL)
• User wants position history or PnL data
• User needs to validate available trading symbols before trading

Best practices

• Always call /club-details first to get user_wallet and ostium_agent_address; never hardcode addresses
• Resolve required parameters from prior API responses or explicit user input — never guess values
• Validate markets with /symbols before trading and fetch LunarCrush/market data for context
• Ask the user to confirm collateral, leverage, side, TP% and SL% and present sensible defaults
• Save actualTradeIndex, tradeIndex, pairIndex, and entryPrice from responses; use them for subsequent TP/SL/close calls

Example use cases

• Fetch the user’s Ostium USDC and ETH balances before allocating collateral
• Retrieve symbols and LunarCrush metrics to identify high-sentiment opportunities
• Open a new long/short position after presenting price, sentiment, and volatility to the user
• List open positions and use returned tradeIndex/pairIndex to set take profit and stop loss
• Fetch position history to compute realized/unrealized PnL for performance reporting