Strategy Studio
Strategy Studio is where you build, backtest, and deploy algorithmic trading strategies. Strategies are written in Pine Runtime, Minara's TypeScript DSL, and run against historical market data before going live. A deployed strategy executes automatically, opening and closing positions according to your code.
Find it at /app/trade/strategy-studio.
Left sidebar
The sidebar shows two sections:
Deployed: strategies currently running live. Each deployed strategy shows its live APY and the asset it trades.
Drafts: strategies you're editing or have not yet deployed. Changes to a draft never affect a deployed strategy.
Click any entry to open it in the editor.
Create a new strategy
Click New Strategy in the top-right corner. Two options:
Describe your idea in chat: type what you want the strategy to do in plain language. Minara generates the Pine Runtime code. This is what Minara calls "Vibe Trading": you describe the logic, the AI writes the code.
Write code directly: start from a blank editor or an existing template and write Pine Runtime yourself.
Either way, the strategy opens in draft state. Nothing runs until you deploy.
Creating from a description
Be specific about four things: asset, timeframe, entry condition, exit condition. For example:
"Go long BTC on the 1-hour chart when the 9-EMA crosses above the 21-EMA. Exit when RSI exceeds 70 or price drops 3% from entry."
Other examples to get started:
"Short ETH on the 15-minute chart when MACD crosses below signal and price is below the 200-EMA."
"Go long SOL when the daily RSI crosses above 40 coming from oversold. Exit at 10% gain or 5% loss."
"Long NVDA perpetual on the 4-hour chart when price breaks above the 20-day high with above-average volume."
After Minara generates the code, open the Code tab to verify the logic matches your intent. Ask follow-up questions to adjust any part of it before running a backtest.
Editor tabs
Code
Pine Runtime source code for your strategy
Metrics
Backtest performance summary
Trades
Individual trade log from the backtest
Paper
Live paper trading (no real capital)
Optimize
Parameter sweep tool for finding optimal settings
Run a backtest
In the Code tab, set your date range and asset, then click Run Backtest. Results appear in the Metrics tab.
Backtests are supported for perpetual assets available on Lighter and Hyperliquid, including Bitcoin (BTC), Ethereum (ETH), Solana (SOL), gold (XAU), silver, and stock perpetuals such as Apple (AAPL), Tesla (TSLA), and NVIDIA (NVDA).
What each metric means
Total Return
Percentage gain or loss over the backtest period
Max Drawdown
Largest peak-to-trough decline; measures worst-case loss
Win Rate
Percentage of trades that closed in profit
Profit Factor
Gross profit divided by gross loss; above 1.0 means the strategy made money
Sharpe Ratio
Return per unit of risk; above 1.0 is generally acceptable
Sortino Ratio
Like Sharpe but only penalizes downside volatility
A strong backtest does not guarantee live performance. Cold-start bias and overfitting are common. Use the Paper tab to validate the strategy in live conditions before deploying real capital.
Deploy a strategy
When you're satisfied with the backtest and paper results, click Deploy. This locks the current version of your code into a running strategy. The deployed strategy appears under Deployed in the sidebar with a live APY counter.
Two things to know:
Editing a draft does not affect the live strategy. The deployed version runs the code that was current at deployment time. To update a live strategy, you must deploy again.
You cannot stop a deployed strategy without closing its positions. Stopping it closes all open positions it manages.
Monitor a deployed strategy
Click a deployed strategy to view:
APY: annualized return since deployment
Positions: current open positions and their unrealized P&L
Trade log: every entry and exit, with timestamps and realized P&L
APY is calculated from the strategy's realized P&L since deployment. It resets if you stop and redeploy the strategy.
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