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Mangrove Developer Backtests API
x402
Mangrove Developer Backtests API is a paid API for AI agents from api.mangrovedeveloper.ai, paid per call via x402, $0.1/call, status unknown (last checked 2026-11-04).
Runs a backtest simulation of a trading strategy against historical market data with configurable risk, volatility, and execution parameters.
Price / call$0.1
Success—
StatusUnknown
How this service works
Developer references for Mangrove Agent, API contracts, MCP and AI integrations.
Output
Returns backtest simulation results including trade-by-trade history, portfolio equity curve, aggregate performance metrics (total return, Sharpe ratio, max drawdown, win rate), and risk statistics computed over the specified historical period.
Example use cases
Momentum strategy annual performance review
“Backtest my momentum strategy (strategy ID 'mom-crossover-7') on BTC/USD on Binance for all of 2023, using 4-hour candles, $50,000 starting balance, 0.1% fee, 0.05% slippage, no more than 5 trades per day, and enable volatility adjustment — I want to see how it would have performed.”
Parameter sensitivity test for crypto algo
“Run a backtest on strategy JSON '{"type":"mean-reversion","lookback":20}' for SOL/USDC on Kraken from 2024-01-01 to 2024-06-30, 1-hour intervals, $5,000 initial balance, 2% max risk per trade, 10 cooldown bars between trades, seed 42.”
Pre-launch risk validation for new trading bot
“Before I deploy my new trading bot, can you simulate strategy ID 'grid-dca-v2' on ETH/USDC on Coinbase for the last 6 months using daily intervals, $20,000 initial balance, 0.15% fee, 0.1% slippage, max 2 open positions, and tell me the risk metrics?”
Technical details
Endpoint
POSThttps://api.mangrovedeveloper.ai/api/v2/backtests?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to simulate a trading strategy against real historical market data with fine-grained control over execution parameters (fees, slippage, risk limits, volatility modes). Prefer this over simpler analytics endpoints when you need comprehensive trade-level output, risk metrics, and support for advanced configuration like cooldown bars, momentum limits, and volatility adjustment.
Side effects
- Invalid strategy_id or malformed strategy_json returns a 400 error
- start_date after end_date causes a validation failure
- Unsupported exchange or market data venue returns a 404 or 422
- Insufficient historical data for the specified date range and interval
- Missing required fields (asset, start_date, end_date) causes a 422 unprocessable entity
- Payment failure or insufficient USDC balance returns a 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| seed | integer | |
| asset | string | |
| fee_pct | number | |
| end_date | string | |
| exchange | string | |
| interval | string | |
| data_file | string | |
| base_token | string | |
| generation | integer | |
| start_date | string | |
| data_source | string | |
| quote_token | string | |
| strategy_id | string | |
| slippage_pct | number | |
| cooldown_bars | integer | |
| strategy_json | string | |
| corpus_dataset | string | |
| initial_balance | number | |
| lookback_months | integer | |
| volatility_mode | string | |
| execution_config | object | |
| hourly_data_file | string | |
| max_trade_amount | number | |
| min_trade_amount | number | |
| market_data_venue | string | |
| target_volatility | number | |
| volatility_window | integer | |
| max_open_positions | integer | |
| max_risk_per_trade | number | |
| max_trades_per_day | integer | |
| max_units_per_trade | number | |
| daily_momentum_limit | number | |
| initial_asset_balance | number | |
| min_balance_threshold | number | |
| weekly_momentum_limit | number | |
| enable_volatility_adjustment | boolean |
Tags
x402
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