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Trading Journal Observations — Daily Sum Series + Two-Measure Correlation
x402
Trading Journal Observations — Daily Sum Series + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
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.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
Daily PnL aggregation by instrument
“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?”
Equity strategy performance review
“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.”
Multi-group trade data summarization
“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.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-09-141?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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