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Commodity Risk & Compliance

Price Feeds for
Hedge Accounting

Automated mark-to-market data for ASC 815 and IFRS 9 compliance. Reliable commodity price feeds for hedge effectiveness testing and fair value reporting.

5+ Years

Historical Data

Daily

Settlement Prices

Auditable

Data Trail

$129/mo

vs $50K+ Alternatives

Hedge Accounting Challenges

Expensive Data Feeds

Bloomberg/Refinitiv cost $50K+/year for treasury teams

Manual Data Entry

Copying prices from websites into spreadsheets is error-prone

Audit Trail Gaps

Auditors need verifiable price sources with timestamps

Our Solution

Affordable API Access

$129/month for full historical data - 99% less than Bloomberg

Automated Data Feeds

Pull prices directly into Excel, SAP, or custom systems

Complete Audit Trail

Every price includes timestamp and source documentation

Hedge Accounting Use Cases

Mark-to-Market Valuation

  • • Daily settlement prices
  • • Futures curve data
  • • Fair value calculations
  • • P&L attribution

Effectiveness Testing

  • • Historical price series
  • • Dollar offset method
  • • Regression analysis data
  • • Critical terms comparison

Compliance Reporting

  • • ASC 815 documentation
  • • IFRS 9 requirements
  • • Audit-ready exports
  • • Quarterly valuations

Standards We Help You Meet

ASC 815 (US GAAP)

  • • Cash flow hedge documentation
  • • Fair value hedge accounting
  • • Effectiveness testing (prospective & retrospective)
  • • Discontinuation and dedesignation data

IFRS 9

  • • Hedge ratio calculations
  • • Hypothetical derivative method
  • • Time value of options separation
  • • Cost of hedging reserves

Integration Example

Get Historical Prices for Testing

GET /v1/prices/past_year?
  code=BRENT_CRUDE_USD
  &interval=daily

{
  "code": "BRENT_CRUDE_USD",
  "prices": [
    {
      "date": "2024-01-15",
      "open": 78.45,
      "high": 79.20,
      "low": 77.80,
      "close": 78.92,
      "settlement": 78.85
    },
    {
      "date": "2024-01-14",
      "open": 77.90,
      "high": 78.65,
      "low": 77.50,
      "close": 78.45,
      "settlement": 78.40
    }
    // ... 365 days of data
  ],
  "source": "aggregated",
  "currency": "USD"
}

Excel Power Query Integration

// Power Query M Code
let
    ApiKey = "your-api-key",
    Source = Json.Document(
        Web.Contents(
            "https://api.oilpriceapi.com/v1/prices/past_month",
            [
                Headers=[Authorization="Bearer " & ApiKey],
                Query=[code="BRENT_CRUDE_USD", interval="daily"]
            ]
        )
    ),
    Prices = Source[prices],
    ToTable = Table.FromList(Prices,
        Splitter.SplitByNothing(),
        null, null, ExtraValues.Error),
    Expanded = Table.ExpandRecordColumn(ToTable,
        "Column1",
        {"date", "settlement"})
in
    Expanded

Who Uses This

Treasury Teams

Corporate hedging programs

Controllers

Financial reporting

Risk Managers

Hedge portfolio oversight

External Auditors

Verification & testing

Simplify Hedge Accounting Compliance

Get reliable price data for your hedge accounting program. Automate data collection and satisfy auditors.

Reservoir Mastery

$129/month

  • 250,000 API requests/month
  • 5+ years historical data
  • Daily settlement prices
  • Futures curve data

No credit card required for free tier

Hedge Accounting FAQ

Are prices auditable?

Yes. Every price includes timestamp, source information, and consistent data formatting. We provide documentation suitable for external auditor review and can supply historical data for any date range.

What commodities are covered?

Crude oil (WTI, Brent), natural gas (Henry Hub, TTF), refined products (diesel, gasoline, jet fuel), and metals. 50+ instruments commonly used in corporate hedging programs.

Can I integrate with SAP/Oracle?

Yes, our REST API can be called from any system. Many customers build automated jobs that pull prices into their ERP or treasury management systems daily or on-demand.

How far back does historical data go?

We have 5+ years of daily price history for major commodities. This is sufficient for most effectiveness testing methodologies that require 2-3 years of comparison data.