NinjaTrader Import Guide
AlgoChef accepts trade history exports from NinjaTrader 8 as CSV files. Follow these steps to export your data and import it into AlgoChef.
Exporting from NinjaTrader 8
- Open NinjaTrader 8
- Go to New → Trade Performance
- In the Trade Performance window, select the account and date range you want to export
- Click the Executions tab to see individual trades
- Right-click anywhere in the trade list and select Export to CSV
- Save the file
Tip
Export the longest date range available for the most reliable statistical analysis. AlgoChef's Confidence Score improves with more trades.
Importing Into AlgoChef
- Navigate to Strategy Hub → Import
- Upload your NinjaTrader CSV file
- Use the column mapping wizard to match:
- Entry time → Entry Date
- Exit time → Exit Date
- Profit → Profit/Loss ($)
- Market position → Side (Long/Short)
- Set your Initial Capital
- Click Import
NinjaTrader Column Reference
| NinjaTrader Column | AlgoChef Field |
|---|---|
| Entry time | Entry Date |
| Exit time | Exit Date |
| Profit | Profit/Loss ($) |
| Market pos. | Side |
| Qty | Quantity |
| Entry price | Entry Price |
| Exit price | Exit Price |
| Commission | Commission |
Troubleshooting
Date format not recognized? NinjaTrader uses MM/DD/YYYY HH:mm:ss format — AlgoChef auto-detects this. If dates fail, check that your system locale matches your NinjaTrader date output.
Missing trades? Make sure you're exporting from the Executions tab, not the Trades summary tab — the Executions tab contains the individual trade-level data AlgoChef needs.
Profit showing as 0? Ensure the Profit column includes per-trade P&L in dollars, not points. If your strategy trades futures, check whether NinjaTrader is exporting in ticks or dollars and set the correct P&L field during import.
Tip
Save your column mapping as a template after your first import — next time AlgoChef will auto-map your NinjaTrader columns. (Format templates coming soon.)
Next Steps
- CSV Format Reference — Full field specifications
- Understanding Your Dashboard — What to do after import
- Run Monte Carlo Simulation — Stress-test your imported strategy
Tip
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