OpenCandle

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Investigation Recipes

OpenCandle works best when prompts name the evidence you want, not only the conclusion you hope to reach. These recipes are starting points for repeatable investigations.

You can run these recipes as natural-language chat prompts, slash commands where available, or GUI catalog workflows. The GUI catalog pre-fills structured prompts, but the investigation still appears in the normal chat timeline.

Stock Snapshot

Use this when you want a quick but inspectable view of one public company. In the GUI, start from Comprehensive Analysis.

/analyze NVDA

Expected evidence:

  • current quote and recent price context
  • company overview or fundamentals when a keyed provider is available
  • relevant news or web context when search is configured
  • clear warnings for unavailable providers

Sample shape:

Evidence gathered
- Quote: provider timestamp and recent move shown before synthesis
- Fundamentals: company profile or provider warning
- Filings/news: source links or explicit "not configured" note

Answer
- What the evidence says
- What still depends on judgment
- Main downside risks and data gaps

Good follow-up:

What parts of that answer are based on stale or missing data?

Compare Assets

Use this when choosing between two or more tickers. In the GUI, start from Compare Assets.

Compare MSFT, GOOGL, and AMZN using price trend, fundamentals, and sentiment.

Expected evidence:

  • normalized quote/history context for each symbol
  • comparable-company or financial-statement data when available
  • sentiment or web search context if configured
  • a synthesis that separates data-backed observations from judgment calls

Sample shape:

Side-by-side comparison
| Asset | Price context | Fundamental context | Sentiment/source notes |
| --- | --- | --- | --- |
| MSFT | provider quote + trend | available or unavailable | source count or gap |
| GOOGL | provider quote + trend | available or unavailable | source count or gap |
| AMZN | provider quote + trend | available or unavailable | source count or gap |

Verdict
- Best fit for the stated goal
- Concentration, valuation, and data-quality risks

Options Screen

Use this when exploring contracts and Greeks. In the GUI, start from Options Screener.

Show me TSLA puts expiring next month with Greeks and open interest.

Expected evidence:

  • available expirations and matching option-chain rows
  • implied volatility, open interest, and volume when provider data includes them
  • locally computed Greeks
  • missing-expiration or missing-symbol clarification when needed

SEC Filing Trail

Use this when you need primary-source company disclosure context.

Find recent SEC filings for AAPL and summarize what each filing type is for.

Expected evidence:

  • SEC EDGAR filing records
  • filing dates, accession links, or available identifiers
  • cautious synthesis that does not overstate what was inspected

Sample shape:

SEC filing trail
- 10-K/10-Q/8-K record: filing date, form type, accession or document link
- What that form is normally used for
- What OpenCandle inspected versus what would require reading the full filing

Macro Check

Use this when a market question depends on rates, inflation, labor data, or growth.

Get the latest fed funds rate and compare it with CPI and unemployment.

Expected evidence:

  • FRED series values when FRED_API_KEY is configured
  • dates for the reported observations
  • warning if a requested series is missing or unavailable

Sentiment Triangulation

Use this when market narrative matters and you want cross-source evidence.

Give me a sentiment read on AMD across Reddit, Twitter/X, and web results.

Expected evidence:

  • source-specific sentiment records where available
  • web search results through Exa, Brave, or DuckDuckGo fallback
  • divergence notes when retail chatter and news context disagree
  • explicit provider/setup warnings

Portfolio Risk

Use this when checking local holdings or a hypothetical allocation. In the GUI, use chat for existing holdings or Portfolio Builder when you want OpenCandle to build a proposed allocation from goals and constraints.

Add 100 shares of NVDA at 120 and 50 shares of MSFT at 430, then run risk analysis.

Expected evidence:

  • locally stored portfolio entries
  • current market data used for valuation
  • concentration and correlation output where available
  • risk language that calls out downside scenarios

Prompting Pattern

For stronger answers, ask for the evidence path:

Analyze NVDA. Use quote, fundamentals, recent filings, sentiment, and macro context if available. Tell me which sources were unavailable before giving the synthesis.

That phrasing gives the agent permission to gather broadly while keeping provider gaps visible.