Strategy Signals Crypto Backtester is a paid API for AI agents from strategysignals.duckdns.org, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-14).
Runs a configurable SMA-crossover with trailing-stop backtest on BTC, ETH, or SOL and returns full performance metrics plus an equity curve
What would $1,000 have become if you'd followed this rule historically? On-demand parameterized backtest of the 200-day-SMA + trailing-stop methodology against real historical data -- caller supplies asset, SMA period, trailing-stop %, cooldown, and date range; returns real computed performance metrics and equity curve.
Returns the asset tested, all strategy parameters used, a metrics object with total_return_pct, final_equity, sharpe_ratio, win_rate, max_drawdown_pct, and total_trades, the actual data period covered, and a timestamped equity_curve array showing portfolio value over time.
POSThttps://strategysignals.duckdns.org/tools/strategy-backtestChoose this endpoint when you need a transparent, parameter-configurable SMA+trailing-stop backtest on BTC, ETH, or SOL with independently verifiable results and a full equity curve — particularly when you want to validate published strategy claims or tune parameters like cooldown days and trailing stop percentage rather than trusting a black-box signal provider.
| Field | Type | Description |
|---|---|---|
| end | string | optional ISO date |
| asset | string | |
| start | string | optional ISO date |
| cooldown_days | integer | |
| sma_period_days | integer | |
| starting_capital | number | |
| trailing_stop_pct | number |
{
"type": "json",
"example": {
"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"
}
]
}
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