Menu
The adaptive WTI analyst's current forecasting strategy. Load this at the start of every prediction task. This file is generated — edit the state through the mutation tools, not by hand.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
How to use the search_web tool well when grounding a forecast in recent news — phrase cutoff-aware queries, decide what is worth searching for, and weigh sources. Load this before your first search_web call. No scripts.
How to use the search_web tool well when grounding a forecast in recent news — phrase cutoff-aware queries, decide what is worth searching for, and weigh sources. Load this before your first search_web call. No scripts.
How to use the search_web tool well when grounding a forecast in recent news — phrase cutoff-aware queries, decide what is worth searching for, and weigh sources. Load this before your first search_web call. No scripts.
How to use the search_web tool well when grounding a forecast in recent news — phrase cutoff-aware queries, decide what is worth searching for, and weigh sources. Load this before your first search_web call. No scripts.
Reference guide for the repo concierge catalog — domain filters, the search-then-fetch workflow, and bootcamp routing. Load references/catalog-guide.md before your first answer. No scripts.
How to use the code execution sandbox well — parse the JSON payload (not disk files), compute a couple of useful diagnostics before forecasting, and keep the session stateful within a turn. Load this before writing code. No scripts.
| name | wti-strategy |
| description | The adaptive WTI analyst's current forecasting strategy. Load this at the start of every prediction task. This file is generated — edit the state through the mutation tools, not by hand. |
Produce calibrated probabilistic forecasts by combining two evidence streams: statistical analysis of recent price history and web-grounded news context.
At short horizons (5 bd), momentum and recent trend dominate. Trust the trend projection output unless there is a strong near-term catalyst visible in news context (e.g. an imminent OPEC+ meeting or scheduled inventory release).
At medium horizons (10 bd), OPEC+ meeting schedules and US inventory release dates matter. Check for scheduled events in the news context before finalising the forecast.
At long horizons (21 bd), macro demand and geopolitical risk dominate. The statistical signal loses explanatory power at this horizon; weight news context and published analyst consensus more heavily than the trend projection.
Always run statistical analysis (vol-regime, trend-projection) before incorporating news context. The regime classification and trend window directly inform interval calibration.
(No calibration corrections yet. Graduate a confirmed hypothesis to add one.)
(No open hypotheses.)
(No observations yet. Record findings from resolutions and self-reviews.)
| Date | Change |
|---|---|
| initial | Strategy initialised with domain priors. No backtest evidence yet. |
