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Moving Average Crossover Calculator
x402
Moving Average Crossover Calculator is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Computes short and long moving average crossover signals from a price series to identify potential buy/sell signals
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a 'result' field indicating the computed outcome and a 'status' field confirming successful processing. The response likely contains crossover signal information derived from the provided price array and window parameters.
Example use cases
Crypto trading signal detection
“Here are 30 daily closing prices for Bitcoin: [42000, 42500, 41800, 43000, 44500, 45200, 44800, 46000, 47500, 47000, 48200, 49000, 48500, 50000, 51000, 50500, 52000, 53500, 53000, 54000, 55000, 54500, 56000, 57500, 57000, 58000, 59500, 59000, 60000, 61000]. Use a short window of 5 and a long window of 20 to tell me if there's a buy or sell crossover signal.”
Stock momentum backtesting
“I have a series of daily closing prices for a stock over the past 2 weeks: [150, 152, 149, 153, 156, 155, 158, 160, 159, 162, 165, 163, 167, 170]. Run a moving average crossover with short window 3 and long window 10 so I can see where momentum shifted.”
Automated trading strategy trigger
“Given these hourly price readings [200, 198, 202, 205, 203, 207, 210, 208, 212, 215, 213, 217, 220, 218, 222], compute a crossover signal with a 4-period short window and a 12-period long window — I need to know if my automated strategy should trigger a trade.”
Technical details
Endpoint
POSThttps://kihustle.tech/nexus/api/v1/moving-average-crossoverWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call moving average crossover computation without spinning up your own quant infrastructure. It is well-suited for agents performing technical analysis on price series, triggering automated trading signals, or backtesting crossover strategies programmatically at low cost.
Side effects
- Empty or insufficient price array for the specified window sizes
- short_window larger than or equal to long_window causing invalid configuration
- Non-numeric values in prices array causing type errors
- prices array shorter than long_window making computation impossible
- Missing required fields returns error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prices | array | |
| long_window | integer | |
| short_window | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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