Trading Strategy Backtest Comparator is a paid API for AI agents from strategysignals.duckdns.org, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-14).
Runs and compares two parameterized SMA/trailing-stop trading strategies head-to-head on BTC, ETH, or SOL, returning full performance metrics and equity curves for both.
Does a 150-day or 200-day SMA actually perform better on this asset? Test two parameter sets head-to-head against the same asset and date range in one call, with both real results and a declared winner -- cheaper than paying for two separate backtests and comparing them yourself.
Returns a JSON object with full results for both strategy A and B including: asset traded, parameter config, performance metrics (win rate, final equity, Sharpe ratio, total trades, max drawdown %, total return %), the actual data period covered, a timestamped equity curve, and a 'winner' field indicating which strategy outperformed.
POSThttps://strategysignals.duckdns.org/tools/strategy-backtest/compareChoose this endpoint when you need to directly compare two parameterized systematic trading strategies (SMA + trailing stop + cooldown) against each other on BTC, ETH, or SOL with full performance metrics and equity curves. Prefer this over single-backtest endpoints when the goal is parameter optimization or A/B testing of strategy configurations. Best for quantitative research, strategy validation, or choosing between two trading setups with transparent, verifiable methodology.
| Field | Type | Description |
|---|---|---|
| a | object | |
| b | object | |
| end | string | optional ISO date |
| asset | string | |
| start | string | optional ISO date |
| starting_capital | number |
{
"type": "json",
"example": {
"a": {
"asset": "ETH",
"params": {
"cooldown_days": 14,
"sma_period_days": 150,
"starting_capital": 1000,
"trailing_stop_pct": 0.2
},
"metrics": {
"win_rate": 0.643,
"final_equity": 2842,
"sharpe_ratio": 0.91,
"total_trades": 14,
"max_drawdown_pct": 0.384,
"starting_capital": 1000,
"total_return_pct": 1.842
},
"data_period": {
"years": 5.5,
"actual_end": "2026-07-01",
"actual_start": "2021-01-01",
"requested_end": "2026-07-01",
"requested_start": "2021-01-01"
},
"equity_curve": [
{
"equity": 1000,
"timestamp": "2021-01-01T00:00:00+00:00"
}
]
},
"b": {
"asset": "ETH",
"params": {
"cooldown_days": 14,
"sma_period_days": 150,
"starting_capital": 1000,
"trailing_stop_pct": 0.2
},
"metrics": {
"win_rate": 0.643,
"final_equity": 2842,
"sharpe_ratio": 0.91,
"total_trades": 14,
"max_drawdown_pct": 0.384,
"starting_capital": 1000,
"total_return_pct": 1.842
},
"data_period": {
"years": 5.5,
"actual_end": "2026-07-01",
"actual_start": "2021-01-01",
"requested_end": "2026-07-01",
"requested_start": "2021-01-01"
},
"equity_curve": [
{
"equity": 1000,
"timestamp": "2021-01-01T00:00:00+00:00"
}
]
},
"asset": "ETH",
"winner": "b"
}
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