Live Account & Positions
Your agent has a real-time view of your Hyperliquid account:- Account value — total portfolio value including unrealized P&L
- Margin used — how much of your capital is actively committed
- Withdrawable balance — free margin available to deploy
- Open positions — every current position with:
- Coin, direction (long/short), and size
- Entry price and current mark price
- Unrealized P&L in USD and as a percentage
- Leverage
- Estimated liquidation price
- “What’s my total account value right now?”
- “What positions are you holding?”
- “How far am I from liquidation on my SOL long?”
- “How much margin do I have left to deploy?”
Performance & P&L
Your agent has access to aggregated performance statistics across your trading history:- Total trades executed
- Win rate — percentage of profitable trades
- Total P&L — cumulative dollar return
- 7-day P&L — performance over the past week
- 30-day P&L — performance over the past month
- Per-token breakdown — win rate, total P&L, and trade count for each coin in your whitelist
- “How am I performing this month?”
- “What’s my win rate over the last 30 days?”
- “Which token has made me the most money?”
- “Am I profitable overall?”
Trade & Decision History
Your agent has the last 30 trading decisions stored in its context, including:- The token analyzed
- The action taken (LONG, SHORT, CLOSE, or WAIT)
- The full reasoning — what data the agent saw and why it acted
- Whether the decision was executed or skipped, and why it was skipped if not
- The timestamp of the decision
- “Walk me through your last 5 trades.”
- “Why did you go long on SOL yesterday?”
- “What was your reasoning on the BTC short last week?”
- “How many times have you waited vs. traded this month?”
- “Why did you skip the ETH trade on Monday?”
Strategy & Configuration
Your agent knows its own configuration completely:- The full strategy prompt you wrote
- Your important notes (hard constraints)
- Current risk parameters (max positions, position size range, drawdown limits)
- Token whitelist
- AI model and run schedule
- Data sources enabled
- “What’s your current strategy?”
- “Do you think my max drawdown limit is appropriate?”
- “Is my whitelist still the right set of tokens?”
- “Should I tighten my position size limits?”
Strategy Memory
Between runs, your agent maintains an ongoing strategy memory — a running self-analysis note it updates over time. This includes observations about what’s working, market regime notes, and self-corrections. The agent references this memory in chat to give you context on how its thinking has evolved. Example questions:- “What has your experience been with this strategy so far?”
- “Have you noticed any patterns in your wins and losses?”
- “What would you change about how you’ve been trading?”
Backtest History
Your agent has access to your last 5 completed backtests, including:- Backtest name and date range
- Tokens tested and model used
- Total return %
- Sharpe ratio
- Win rate
- Max drawdown
- Profit factor
- Run duration and interval
- “Compare my live results to my last backtest.”
- “Based on my last 3 backtests, what’s working?”
- “Why is my live win rate lower than the backtest showed?”
- “Which model performed best in my backtests?”
- “What did the backtest predict my Sharpe ratio would be?”
What Happens When You Ask
Every chat message triggers a fresh data fetch in parallel:- Agent config pulled from the database
- Live portfolio and positions fetched from Hyperliquid
- Performance metrics aggregated from trade history
- Last 30 decisions loaded from logs
- Strategy memory loaded
- Last 5 backtest reports loaded