Transaction History
The Transaction History panel gives you full visibility into your agent’s simulated trading activity, including swaps, burns, deposits, and withdrawals. This real-time ledger lets you trace every move your agent makes — with precision, context, and full transparency.
💹 Key Features
- Full ledger of token transfers, swaps, burns, and agent activity
- Real-time integration with Jupiter for on-chain swap accuracy
- Detailed trade and transaction breakdowns — including fees, slippage, and route plans
- Filter and sort tools to find transactions by type, token, or signal
- CSV export to run your own analysis
📄 What’s Included?
Swaps (Token Trades)
Each swap now includes:
- Token In / Out — the asset sold and acquired
- Token amount in both raw lamports and human-readable decimals
- USD value at time of trade
- Associated Signal ID – so you can trace performance back to the triggering agent action
- Route Details – see every pool and leg the swap took (multi-hop routing supported)
- Fees (USD) and fee token used
- Price Impact (%) – how much your trade moved the market
- Slippage Threshold – the maximum deviation allowed by the agent
Token Burns
Burns reflect tokens that were acquired but became unsellable, typically due to liquidity traps. When this happens:
- The agent will automatically burn the tokens
- Value of the burn will show as $0.00
- Helps simulate risk outcomes more accurately
Deposits
- Tokens added to the agent's wallet
- Tracked with amount, value in USD, and token symbol
- Example:
- +10 SOL ≈ $1,919.20 (Deposit)
Withdrawals
- Tokens removed from the agent's wallet
- Displays amount withdrawn, USD value, and destination wallet address
- Example:
- -10 SOL ≈ $1,919.20 → Sent to
bosS1ytr...69XfWgJj
- -10 SOL ≈ $1,919.20 → Sent to
🧮 Understanding Lamports
Every transaction now includes lamport-level data (Solana’s smallest unit of value):
- 1 SOL = 1,000,000,000 lamports
- Tokens follow their own decimal system (6, 8, or 9 decimals typical)
- This level of precision ensures exact calculations match what would happen on-chain
📊 Filters, Sorting & CSV Export
The updated UI includes:
- Filters by transaction type, token, or signal
- Sortable columns to quickly find trades by size or time
- CSV export — download full transaction history for custom analysis
✅ Why This Matters
The new transaction history isn’t just a record — it’s a powerful performance analysis tool. With real-time on-chain data, burn tracking, and route-level transparency, you can:
- Understand where your agent succeeds (or fails)
- Identify potential liquidity issues
- Validate execution accuracy
- Improve your trading strategies over time
Let us know what you'd like to see next — we’re always improving.