{"uid":"cap_-LN12wu55v3jnUFM4VvXF","slug":"trading-journal-observations-daily-sum-series-two-measure-correlation-54ffb5a5","name":"Trading Journal Observations — Daily Sum Series + Two-Measure Correlation","description":"Trading journal observations — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation for supplied trading journal observations records (entry_price, exit_price). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-finance-09-141?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","entry_price","exit_price"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"exit_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"entry_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","exit_price":1,"entry_price":10,"instrument_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","exit_price":2,"entry_price":20,"instrument_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","exit_price":3,"entry_price":15,"instrument_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","exit_price":4,"entry_price":30,"instrument_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["entry_price","exit_price"],"type":"string","default":"entry_price"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Ctp2cyW3j4ZTV89HxCrsK","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes a daily sum time series and a two-measure correlation report for trading journal entry_price and exit_price data, using local analytical engines with no external calls.","exampleAgentPrompt":"Can you run a daily sum series and a two-measure correlation on my trading journal records? I have up to 50 trades with dates, instrument groups, entry prices, and exit prices — use entry_price as the primary field.","exampleUseCases":[{"title":"Daily PnL aggregation by instrument","prompt":"I have 80 rows from my trading journal with dates, entry prices, exit prices, and instrument groups — can you compute the daily sum series for entry_price and also tell me how correlated entry_price and exit_price are across all those trades?"},{"title":"Equity strategy performance review","prompt":"Take these 120 trade records from my equity trading log and give me both the daily sum aggregation and the correlation between entry price and exit price so I can see how consistent my fills are."},{"title":"Multi-group trade data summarization","prompt":"I've got trading journal data for three instrument groups spanning 30 trading days — please run the daily sum series on exit_price and compute the two-measure correlation between entry_price and exit_price for me."}],"resultDescription":"Returns two analytical reports: (1) a daily sum series showing the summed value of the selected field (entry_price or exit_price) aggregated by date, and (2) a two-measure correlation report quantifying the statistical relationship between entry_price and exit_price across the supplied rows. Both reports are computed locally with no external data lookups.","failureModes":["Fewer than 1 row submitted — minimum 1 row required","More than 200 rows submitted — batch limit exceeded","Missing required fields (row_id, date, entry_price, exit_price, instrument_group) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern) results in rejection","entry_price or exit_price values outside ±1,000,000,000,000 cause schema validation failure","Insufficient variance in both price columns may yield undefined or degenerate correlation"],"whenToPreferThis":"Choose this endpoint when you need both a daily time-series sum and a pairwise correlation for trading journal data in a single call at minimal cost ($0.01 USDC for both reports). Ideal for offline or privacy-sensitive analysis since no external lookups or predictions are made. Best for datasets up to 200 rows with entry_price and exit_price fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:29.371Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-daily-sum-series-two-measure-correlation-54ffb5a5"}