Crude Oil Trend API
Crude oil price trends with macro regime classification — signals inflation momentum and global demand conditions.
https://api.hunchmachine.com/webhook/indicators?indicator=crude_oil_trend&api_key=YOUR_API_KEYDescription
Tracks the trend and macro implications of crude oil prices — a core driver of global inflation, production costs, and energy-related sentiment. Because oil influences both growth expectations and inflation pressure, its trend helps automations and agents infer whether the macro environment is inflationary, disinflationary, or stagflationary.
What this endpoint provides
A multi-timeframe view of oil price performance with built-in interpretation of trend direction, momentum, and macro regime classification. This lets AI systems understand not only how oil prices are moving but also what that movement implies for the broader economy.
Response fields
latest_dateDate of the latest price observation.
valueCurrent crude oil price (USD per barrel).
change_7d_pct, change_30d_pct, change_60d_pct, change_90d_pctPercentage changes across several timeframes.
trendDirectional trend label (up, down, flat).
momentumQualitative descriptor of recent trend speed (accelerating, decelerating).
regimeInterpreted macro state based on price dynamics (inflationary, disinflationary, etc.).
timestampUTC time when the data was last updated.
Output example
[
{
"indicator": "crude_oil_trend",
"timestamp": "2025-11-01T01:51:08.269Z",
"latest_date": "2025-10-27",
"value": 62.13,
"change_7d_pct": 6.5,
"change_30d_pct": -6.57,
"change_60d_pct": -4.36,
"change_90d_pct": -7.72,
"trend": "down",
"momentum": "decelerating",
"regime": "disinflationary"
}
]Interpretation & Use
Oil trends are a powerful proxy for global demand and inflation momentum. A rising trend (especially with accelerating momentum) tends to signal inflationary or growth-driven conditions. A falling trend indicates easing price pressures and may correspond to a disinflationary macro regime. Automations can use the trend and regime fields to infer whether the energy component of inflation is building or cooling — useful for adjusting risk models, macro reasoning, or AI decision-making on cycle positioning.