finmath DCA Backtest is a paid API for AI agents from finmath.qzqh5rrbkz.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Backtests a dollar-cost averaging (DCA) strategy against a historical price series, computing exact portfolio metrics using deterministic arithmetic
Deterministic finance and crypto math for AI agents: TradFi (NPV, IRR, XIRR, Black-Scholes + Greeks, bonds, VaR, Sharpe) and DeFi (impermanent loss, perp liquidation, funding, Uniswap v3, health factor, cost basis). Exact, model-free arithmetic that LLMs get wrong — priced per call in USDC.
Returns a result object with DCA portfolio metrics computed from the price series and fixed contribution, including total invested, total portfolio value, number of units accumulated, average cost basis, total return, and possibly period-by-period breakdown; plus a meta object with request metadata.
POSThttps://finmath.qzqh5rrbkz.workers.dev/v1/dca_backtestUse this endpoint when you need exact, deterministic DCA backtest calculations rather than relying on LLM arithmetic, which is error-prone for iterative financial computations. Prefer this over manual calculation when you have a historical price series and want precise average cost basis, total return, and unit accumulation figures for a fixed periodic contribution strategy.
{
"prices": [
100,
102,
98,
105,
103,
107,
104,
106
],
"contribution": 500
}| Field | Type | Description |
|---|---|---|
| pricesrequired | array | prices |
| contributionrequired | number | contribution |
{
"meta": {
"tool": "dca_backtest",
"disclaimer": "Deterministic calculation utility. Not financial, investment, or trading advice.",
"deterministic": true
},
"result": {
"roi": 0.028672917161252826,
"avg_cost": 103.045388122514,
"final_value": 4114.691668645011,
"total_units": 38.817845930613316,
"total_invested": 4000
}
}| Field | Type | Description |
|---|---|---|
| metarequired | object | |
| resultrequired | — |
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