Prompt Strategy Setup

Prompt Strategy Setup (AI Decision)

Guide the user through creating a complete AI-decision trading pipeline using Trading Prompts. This strategy type uses LLM interpretation for trade decisions — best for complex judgment, sentiment, and context.

Pre-requisites (MUST confirm before proceeding)

1. Confirm the target exchange (Hyperliquid or Binance)
2. Confirm the environment (Testnet or Mainnet)
3. These determine which wallets, signal pools, and data sources are available

Workflow

Phase 1: Requirements Gathering

Understand the user's trading intent:

• Which symbol(s) to trade (e.g., BTC, ETH, SOL)
• Trading style (trend following, mean reversion, breakout, etc.)
• Risk parameters (leverage, position size, stop loss preferences)
• Trigger preference (signal-based, scheduled, or both)

Use the user's profile (trading_style, risk_preference, experience_level) to pre-fill defaults where possible. Skip questions the profile already answers.

→ [CHECKPOINT] Summarize understood requirements. Wait for user confirmation.

Phase 2: Signal Pool Configuration

Query existing signal pools: list_signal_pools

• Filter by the confirmed exchange — signal pool exchange MUST match
• If a suitable pool exists, propose reusing it
• If no match, delegate to Signal AI: call_signal_ai
  • Include exchange, symbol, desired trigger frequency in the task
  • Save the result: save_signal_pool

A Prompt Trader can bind MULTIPLE signal pools. Suggest combinations if the strategy benefits from multi-signal triggers.

→ [CHECKPOINT] Show signal pool(s) to be used. Wait for user confirmation.

Phase 3: Trading Prompt Creation

Delegate to Prompt AI: call_prompt_ai

• Include: symbol, trading style, risk parameters, exchange context
• Prompt AI will use proper variables ({current_price}, {market_regime}, etc.)

Save the result: save_prompt

→ [CHECKPOINT] Show prompt summary. Wait for user confirmation.

Phase 4: AI Trader Assembly

Query existing traders: list_traders

• If a suitable trader exists (correct exchange, has wallet), propose reusing
• If not, create one: create_ai_trader (LLM config only)

Bind the prompt: bind_prompt_to_trader(trader_id, prompt_id)

• This is ONE-TO-ONE: replaces any existing prompt binding

Configure triggers: update_trader_strategy(trader_id, signal_pool_ids, ...)

• signal_pool_ids: array of pool IDs (can be multiple)
• scheduled_trigger_enabled: true/false
• trigger_interval: seconds between scheduled triggers

→ [CHECKPOINT] Show complete configuration summary:

• Trader name and LLM model
• Bound prompt name
• Signal pool(s) with conditions
• Trigger settings Wait for user confirmation.

Phase 5: Activation Guide

These are SECURITY OPERATIONS that require manual user action:

1. Bind Wallet → AI Trader → click the trader → bind wallet section
   • Hyperliquid: create API Wallet on Hyperliquid website, paste agent private key + master wallet address
   • Binance: paste API key + secret key
   • Wallet exchange must match the confirmed exchange
2. Start Trading → AI Trader → click the trader → "Start Trading" toggle

Offer to verify after user completes: diagnose_trader_issues(trader_id)

Key Rules

• Signal pool exchange MUST match the trader's wallet exchange
• Never guess thresholds — always delegate to Signal AI
• Never write prompts yourself — always delegate to Prompt AI
• One Trader = One Prompt (one-to-one binding)
• One Trader = Multiple Signal Pools (one-to-many trigger config)