List tradeable assets available for backtesting.

Filter by asset type (crypto, forex, commodity) and/or search by symbol or name.

Fetch historical OHLCV price data for an asset.

Returns summary statistics and a preview of the data (not the full dataset). Use this to examine price history before defining a backtest strategy.

Timeframes: 1m, 5m, 15m, 1h, 4h, 1d, 1w

Define and execute a trading strategy backtest.

The strategy object must include:

• name: Strategy name

• direction (optional): "long" (default), "short", or "both"

  • "long": entry_rules trigger buys, exit_rules trigger sells

  • "short": entry_rules trigger short entries, exit_rules trigger short covers

  • "both": uses entry_rules/exit_rules for longs, plus short_entry_rules/short_exit_rules for shorts

• entry_rules: List of rules that trigger entry

• exit_rules: List of rules that trigger exit

• short_entry_rules (required when direction="both"): Rules for short entries

• short_exit_rules (required when direction="both"): Rules for short exits

• stop_loss (optional): Stop loss as fraction (0.05 = 5%)

• take_profit (optional): Take profit as fraction (0.15 = 15%)

Each rule has:

• indicator: SMA, EMA, RSI, MACD, or BB

• params: Indicator parameters (e.g. {"period": 50})

• condition: crosses_above, crosses_below, greater_than, less_than, equals

• compare_to: Another indicator object or a numeric value

Returns a backtest_id. Use get_backtest_status to poll for completion, then get_backtest_results for the full results.

Check the status of a running backtest.

Returns status (queued, running, completed, failed) and progress percentage.

Run a strategy optimization / parameter sweep.

Tests multiple parameter combinations and ranks results by a metric.

param_ranges: List of parameter ranges to sweep. Each has:

• rule_path: Path to the parameter, e.g. "entry_rules[0].params.period"

• start: Start value (inclusive)

• end: End value (inclusive)

• step: Step size

constraints: Optional list of cross-parameter constraints, e.g. [{"left": "entry_rules[0].params.period", "op": "<", "right": "exit_rules[0].params.period"}]

rank_by: Metric to rank results by (default "sharpe_ratio"). Options: total_return, sharpe_ratio, max_drawdown, win_rate, profit_factor, total_trades

Returns an optimization_id. Use get_optimization_status to poll, then get_optimization_results for ranked results.

Check the status of a running optimization.

Returns status, progress percentage, total and completed combinations.

Get the results of a completed optimization.

Returns:

• best: The best parameter combination with its summary metrics

• results: All combinations ranked by the chosen metric

• total_combinations: How many combinations were tested

• rank_by: The metric used for ranking

Get the results of a completed backtest.

Returns:

• summary: Key metrics (total return, Sharpe ratio, max drawdown, win rate, etc.)

• trades_preview: First 10 trades with entry/exit dates and P&L

• full_results_url: Link to full results data

• results_url: Shareable link to view results on panther.watch

IMPORTANT: Always share the results_url link with the user so they can view the full results with equity curve and trade details on panther.watch.

List your previous backtests with summary info.

Use this to review past experiments and compare strategies.

List your previous optimizations / parameter sweeps.

Use this to review past optimization runs and their best parameters.

Run a portfolio backtest across multiple assets with weighted allocation.

Test how a strategy performs across a diversified portfolio. Each asset gets a weighted allocation of the total capital.

assets: List of asset allocations. Each has:

• symbol: Asset symbol (e.g. "BTC/USDT", "ETH/USDT")

• weight: Portfolio weight from 0 to 1. All weights must sum to 1.0.

Example: [{"symbol": "BTC/USDT", "weight": 0.6}, {"symbol": "ETH/USDT", "weight": 0.4}]

The same strategy is applied to all assets. Returns a portfolio_backtest_id. Use get_portfolio_backtest_status to poll, then get_portfolio_backtest_results for results.

Check the status of a running portfolio backtest.

Returns status (queued, running, completed, failed) and progress percentage.

Get the results of a completed portfolio backtest.

Returns:

• summary: Portfolio-level metrics (total return, Sharpe ratio, max drawdown, total trades)

• per_asset_results: Performance breakdown per asset

• trades_preview: Recent trades across all assets

• results_url: Shareable link to view results on panther.watch

IMPORTANT: Always share the results_url link with the user so they can view the full results with equity curve, per-asset breakdown, and trade details on panther.watch.