Orchard Data Backtest is a paid API for AI agents from orchard-data.letom1176.workers.dev, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Backtests a rule-based entry signal (e.g. RSI2, IBS, dip-from-high) on a given ticker symbol over historical data and returns win rate, trade count, and strategy vs buy-and-hold comparison.
Market data for AI agents, paid per-call via x402 (USDC on Base). Free index at /, free spec here.
Returns a JSON object with the backtest spec (symbol, entry rule, threshold, hold days), a verdict block with a plain-English honest read and whether the first/second half of history agree on direction, and full-period statistics including number of trades, win rate, strategy multiple (cumulative return), and buy-and-hold multiple for the same symbol over the same period.
GEThttps://orchard-data.letom1176.workers.dev/api/backtestChoose this endpoint when you need a quick, quantitative historical backtest of a specific rule-based entry signal (RSI2, IBS, dip-from-high, SMA cross, gap-down, down-days) on a U.S. equity ticker. It is purpose-built for signal validation with plain-English verdict summaries, making it ideal for AI agents that need to reason about whether a trading rule has historically worked. Prefer this over generic data APIs when you want pre-computed win rates, strategy multiples, and buy-and-hold comparisons in a single call rather than raw price data requiring your own analysis.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"spec": {
"entry": "rsi2_below",
"symbol": "SPY",
"hold_days": 5,
"threshold": 10
},
"verdict": {
"honest_read": "...",
"halves_agree_on_sign": true
},
"full_period": {
"n_trades": 118,
"win_rate": 0.66,
"strategy_multiple": 2.1,
"buy_hold_multiple_same_symbol": 2.9
}
}
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