{"uid":"cap_kxeex5Ev4Z61Ysfsh9Cm5","slug":"moving-average-crossover-calculator-8f417c5e","name":"Moving Average Crossover Calculator","description":"Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.","url":"https://kihustle.tech/bot-bazaar/api/v1/moving-average-crossover","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"prices":{"type":"array","items":{"type":"number"}},"long_window":{"type":"integer"},"short_window":{"type":"integer"}}},"responseSchema":{"type":"json","example":{"result":"processed","status":"success"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_TaYICt5fhtmLMG7WOHhg3","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes short and long moving average crossover signals from a price series to identify potential buy/sell signals","exampleAgentPrompt":"Run a moving average crossover on these closing prices [120.5, 121.0, 119.8, 122.3, 123.1, 124.0, 122.5] using a short window of 3 and a long window of 5 to see if there's a buy or sell signal.","exampleUseCases":[{"title":"Crypto trading signal detection","prompt":"I have this list of Bitcoin daily closing prices for the last 30 days — can you run a moving average crossover with a short window of 7 and a long window of 21 to see if there's a golden cross or death cross forming?"},{"title":"Stock momentum analysis","prompt":"Take these Apple stock prices and calculate a moving average crossover using a 10-day short window and a 50-day long window — I want to know if the trend is bullish or bearish right now."},{"title":"Automated strategy backtesting signal","prompt":"For my trading bot, compute the MA crossover on this price array with short window 5 and long window 20 so I can log whether a crossover event occurred today."}],"resultDescription":"Returns a JSON object with a 'result' field indicating the crossover computation outcome and a 'status' field confirming success. The response indicates whether the computation was processed successfully, though detailed crossover signal direction (bullish/bearish) may be embedded in the result value.","failureModes":["Empty or too-short price array causing insufficient data for the specified window sizes","short_window value greater than or equal to long_window causing invalid configuration","Non-numeric values in the prices array causing parsing errors","Window sizes larger than the price array length returning an error or empty result","Malformed JSON body returning a 400 error"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-call moving average crossover computation without standing up your own quant infrastructure. It is ideal for agents that periodically check price series for trend signals, especially in crypto or stock monitoring workflows where cost per call ($0.002 USDC) is acceptable and low latency matters more than bulk batch processing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:58:16.830Z","isFirstParty":false}