The Easiest Way to Get US Midwest Steel CRU Nov 2025 (HVX25) - Per Short Ton (via REST API) Historical Rates

If you need the easiest way to get US Midwest Steel CRU Nov 2025 (HVX25) - Per Short Ton historical rates via REST API for backfilling charts, pricing contracts, testing hedges, or auditing physical deals, this guide shows exactly how to do it with Metals-API. We’ll pull HVX25 historical prices for November 2025, retrieve a daily time series, and fetch OHLC values for specific dates—then explain how to interpret fields, manage units (per short ton), handle UTC timestamps, and optimize for reliability and scale.

Why HVX25 (US Midwest Steel CRU Nov 2025) Historical Data Matters

Whether you’re running a quantitative backtest on steel hedges, calculating cost-plus quotes for OEMs, or aligning ERP accruals with monthly contract benchmarks, historical prices for the US Midwest Steel CRU Nov 2025 contract (symbol: HVX25) are essential. Clean, consistent, and programmatically accessible data allows you to:

• Backfill analytics dashboards and price charts with daily history for November 2025.
• Reconstruct delivered price waterfalls in USD per short ton (and convert to alternative currencies if needed).
• Validate contract settlements, audit accruals, and document controls for compliance.
• Calibrate forecast models, stress test exposures, and monitor variance vs. cost plans.

In this tutorial, we’ll focus on HVX25 specifically and show the 2–3 API endpoints you actually need: Historical (single date), Time-series (date range), and OHLC (open/high/low/close by date). For broader capabilities, see the Metals-API Documentation. For checking symbol availability and metadata, visit the Metals-API Supported Symbols page.

Quick Start: What You’ll Build

You will make authenticated REST calls to retrieve HVX25 historical rates “per short ton” with a base currency of USD. You’ll learn how to:

• Query a single historical date in November 2025 for HVX25.
• Request a daily time series for a range within November 2025.
• Get OHLC values for a particular historical date (open, high, low, close).
• Parse the JSON response to extract price fields you actually use.
• Invert the USD-base ratio when you need “USD per short ton.”
• Handle timestamps, weekends, caching, and error responses like a pro.

New to Metals-API? You can get started fast. Visit the Metals-API Website and click Get a free API key to begin integrating in minutes.

HVX25: Symbol, Contract, and Unit

We’ll focus on one symbol only—HVX25—to keep examples exact and relevant. Confirm the symbol on the Metals-API Supported Symbols page before coding. If your plan or region has symbol-level restrictions, you’ll see the details there.

Symbol	Description	Contract Month	Region	Unit	Base Currency
HVX25	US Midwest Steel CRU Nov 2025	November 2025	US Midwest	Per Short Ton	USD (responses default to USD base)

Metals-API responses are by default relative to USD, meaning you get the quantity of the instrument per 1 USD. For steel per short ton, that means the “rate” represents short tons per USD. To obtain USD per short ton (what most commercial users expect), simply invert the value: price_usd_per_short_ton = 1 / rate.

Visual Overview

Endpoints We’ll Use for HVX25

We’ll use only three endpoints relevant to historical work on HVX25. For the broader API surface, see the Metals-API Documentation. We will not list unrelated endpoints here.

• Historical Rates Endpoint: query a single historical date for HVX25.
• Time-series Endpoint: fetch day-by-day historical values over a date range.
• OHLC Endpoint: retrieve open, high, low, close for a specific date.

Authentication and Request Structure

Every request must include your API key via the access_key parameter. Keep your key secret, avoid embedding it in public code repositories, and rotate it periodically. Use HTTPS for all requests.

• Base: USD by default in responses. If you need another base, consult documentation for your plan’s options.
• Symbols: Always pass HVX25 when you only need this one contract.
• Date Format: YYYY-MM-DD.
• Time Zone: All timestamps are UNIX epoch seconds in UTC unless otherwise stated.

Get your access key at the Metals-API Website. It’s free to start and easy to upgrade as you scale.

Historical Rates for a Single Date (HVX25)

Use the Historical Rates endpoint to fetch HVX25 for a particular historical date in November 2025—for example, to validate a contract settlement or populate a point-in-time widget.

Purpose and Functionality

• Returns a snapshot of HVX25 for a specific date.
• Response is relative to the base currency (default: USD).
• Includes a UNIX timestamp, ISO date, and a unit string that indicates “per short ton.”

Key Parameters

• access_key: Your API key (string).
• date: The historical date as part of the path, format YYYY-MM-DD.
• symbols: Must be HVX25 for this guide’s examples.
• base: Optional, defaults to USD (use only if your plan supports altering base).

Example cURL: HVX25 on 2025-11-14

curl -s "https://metals-api.com/api/2025-11-14?access_key=YOUR_ACCESS_KEY&symbols=HVX25&base=USD"

Example Success Response

{
"success": true,
"timestamp": 1763088000,
"base": "USD",
"date": "2025-11-14",
"rates": {
"HVX25": 0.00045
},
"unit": "per short ton"
}

Response Field Breakdown

• success: Boolean; always check this first.
• timestamp: UNIX epoch (UTC) indicating when the rate was recorded/resolved.
• base: Base currency for the rate, typically USD.
• date: ISO date you requested.
• rates: Object keyed by symbol; for HVX25, the value is short tons per 1 USD.
• unit: For HVX25, expect “per short ton.”

Convert to USD per Short Ton (Most Users Will Do This)

Given the rate is short tons per USD, compute USD/short ton as:

• price_usd_per_short_ton = 1 / rates.HVX25

In the example above, 1 / 0.00045 ≈ 2,222.22 USD per short ton.

Alternative Scenarios

If a date is a weekend or a market holiday and no fix is available, you may receive the last available rate prior to that date, or an empty result depending on data availability and your plan. Always check success and inspect the rates object length.

Error Example (Invalid or Missing Key)

{
"success": false,
"error": {
"code": 101,
"type": "invalid_access_key",
"info": "You have not supplied a valid API Access Key."
}
}

Error Example (Unsupported Symbol)

{
"success": false,
"error": {
"code": 202,
"type": "invalid_symbol",
"info": "One or more specified symbols are not supported. Verify: HVX25."
}
}

Best Practices for Historical (Single Date)

• Validate symbol availability in advance using the symbol directory.
• Cache daily results; historical data doesn’t change after publication.
• Always invert to USD per short ton before displaying the price to business users.
• Guard against empty rates or null fields by implementing schema validation.

Time-series: Daily HVX25 Rates for November 2025

When you need to backfill a dashboard or run a daily PnL model for a period (for example, 2025-11-01 through 2025-11-30), the Time-series endpoint returns one object per date. You can then compute daily percentage changes, rolling averages, and VaR based on HVX25.

Purpose and Functionality

• Retrieves HVX25 values for each day between start_date and end_date.
• Ideal for historical backfill and automated batch loads to a warehouse.
• Guaranteed consistent field names for easy parsing.

Key Parameters

• access_key: Your API key.
• start_date: YYYY-MM-DD.
• end_date: YYYY-MM-DD.
• symbols: HVX25.
• base: Optional, default USD.

Time-series Request Example (Date Range Within Nov 2025)

curl -s "https://metals-api.com/api/timeseries?access_key=YOUR_ACCESS_KEY&start_date=2025-11-01&end_date=2025-11-30&symbols=HVX25&base=USD"

Example Success Response (Truncated)

{
"success": true,
"timeseries": true,
"start_date": "2025-11-01",
"end_date": "2025-11-30",
"base": "USD",
"rates": {
"2025-11-01": { "HVX25": 0.00046 },
"2025-11-03": { "HVX25": 0.000455 },
"2025-11-04": { "HVX25": 0.000452 },
"2025-11-05": { "HVX25": 0.000455 },
"2025-11-06": { "HVX25": 0.000453 },
"2025-11-07": { "HVX25": 0.000451 },
"2025-11-10": { "HVX25": 0.00045 },
"2025-11-11": { "HVX25": 0.000449 },
"2025-11-12": { "HVX25": 0.000451 },
"2025-11-13": { "HVX25": 0.000452 },
"2025-11-14": { "HVX25": 0.00045 },
"2025-11-17": { "HVX25": 0.000448 },
"2025-11-18": { "HVX25": 0.000447 },
"2025-11-19": { "HVX25": 0.000448 },
"2025-11-20": { "HVX25": 0.000449 },
"2025-11-21": { "HVX25": 0.000451 },
"2025-11-24": { "HVX25": 0.000452 },
"2025-11-25": { "HVX25": 0.000454 },
"2025-11-26": { "HVX25": 0.000455 },
"2025-11-27": { "HVX25": 0.000455 },
"2025-11-28": { "HVX25": 0.000456 }
},
"unit": "per short ton"
}

Using the Time-series Data

• For each date, compute USD per short ton via inversion: 1 / HVX25.
• Fill weekends/holidays by forward-filling prior business day if your analytics require continuous series (note: document this rule for auditability).
• Calculate day-over-day change_pct = (price_t / price_t-1 - 1) * 100 once inverted.

Potential Edge Cases

• Empty days: If a date has no fix, rates[date] may be missing. Don’t assume continuity.
• Time bounds: Ensure your start_date and end_date align with data availability.
• Plan limits: Very large ranges may require batching or pagination by month.

Error Example (Invalid Dates)

{
"success": false,
"error": {
"code": 301,
"type": "invalid_date_range",
"info": "The specified date range is invalid or exceeds your plan limit."
}
}

OHLC: Open/High/Low/Close for HVX25

For deeper analytics, especially if you’re building candlestick charts, the OHLC endpoint returns the open, high, low, and close for a specific date. Use this when analyzing intraday dispersion aggregated at a daily resolution, or to sanity-check your daily volatility estimates.

Purpose and Functionality

• Provides daily open/high/low/close for HVX25 on a given date.
• Facilitates risk metrics and candlestick visualizations.
• Retains the base currency and units conventions (short tons per USD).

Key Parameters

• access_key: Your API key.
• date: YYYY-MM-DD (historical date).
• symbols: HVX25.
• base: Optional, defaults to USD.

OHLC Request Example

curl -s "https://metals-api.com/api/open-high-low-close/2025-11-14?access_key=YOUR_ACCESS_KEY&symbols=HVX25&base=USD"

OHLC Success Response Example

{
"success": true,
"timestamp": 1763088000,
"base": "USD",
"date": "2025-11-14",
"rates": {
"HVX25": {
"open": 0.000451,
"high": 0.000456,
"low": 0.000449,
"close": 0.00045
}
},
"unit": "per short ton"
}

Interpreting OHLC for Pricing

• Each OHLC value is short tons per USD.
• Invert each to get USD per short ton:
  • open_usd = 1 / open
  • high_usd = 1 / low (note inversion flips min/max)
  • low_usd = 1 / high
  • close_usd = 1 / close
• Be explicit about which field (open or close) you use for financial reporting; document the rule.

Complete JavaScript Example: Fetch and Invert HVX25 Time-series

This example fetches the November 2025 HVX25 time series, converts to USD per short ton, and handles missing days conservatively.

async function fetchHVX25Timeseries() {
const url = "https://metals-api.com/api/timeseries"
+ "?access_key=YOUR_ACCESS_KEY"
+ "&start_date=2025-11-01"
+ "&end_date=2025-11-30"
+ "&symbols=HVX25"
+ "&base=USD";

const res = await fetch(url, { method: "GET" });
if (!res.ok) throw new Error("Network error: " + res.status);
const data = await res.json();

if (!data.success || !data.rates) {
const msg = data.error?.info || "Unknown API error";
throw new Error("Metals-API response error: " + msg);
}

// Build a map of date => USD per short ton
const usdPerShortTon = {};
for (const [date, obj] of Object.entries(data.rates)) {
const rate = obj.HVX25;
if (typeof rate === "number" && rate > 0) {
usdPerShortTon[date] = 1 / rate;
}
}

return usdPerShortTon;
}

// Example usage
fetchHVX25Timeseries()
.then(series => {
console.log("USD per short ton (HVX25) for Nov 2025:", series);
})
.catch(err => {
console.error(err);
});

Explaining the Fields You’ll Actually Use

• data.timeseries: Confirms you requested a range.
• data.start_date, data.end_date: Useful for asserting completeness.
• data.rates[date].HVX25: Primary numeric for each day (short tons per USD).
• Inversion: Always invert before consuming in business UX (USD/short ton).

Units, Base, and Currency Conversion Tips

• Unit: For HVX25, you should see “per short ton.” Always confirm the unit field.
• Base Currency: Defaults to USD. If your plan supports changing base, re-check your math if you switch to another base.
• Converting to Other Currencies: If you need EUR/short ton or JPY/short ton, you can pair Metals-API metal rates with currency rates (see docs) and apply FX conversion post-inversion.
• Precision: For dollar quotes shown to end-users, standard practice is to round to 2 decimals; for analytics, keep full precision.

Timestamps and Time Zones

• timestamp is UNIX epoch seconds in UTC. Convert to your local time zone for user-facing displays.
• Historical dates are based on UTC day boundaries. If you compare to local benchmarks, reconcile any date-shift or cutover time differences.

Handling Weekends, Holidays, and Market Closures

• Gaps happen. Not every calendar day has a fresh fix. Decide on a method:
  • Forward-fill previous business day for dashboards that require continuity.
  • Skip days with no new fix for strict historical analysis.
  • Mark missing as null and alert for manual review in critical workflows.
• Document your fill logic for auditors and controllers, especially for financial statements.

Caching and Request Optimization

• Cache historical responses aggressively—they don’t change.
• Batch date ranges with Time-series instead of calling day-by-day.
• Use ETag or last-modified semantics if you implement a proxy cache.
• Backoff and retry on transient network errors; avoid hot loops.

Error Handling and Recovery Strategies

• Always inspect success; on false, read error.code and error.info.
• On invalid_access_key: verify credentials, rotate key, and redeploy.
• On invalid_symbol: confirm HVX25 on Metals-API Supported Symbols.
• On invalid_date_range: shrink the window or segment requests by week/month.
• Implement circuit breakers (e.g., open on repeated 5xx) and exponential backoff.

Data Validation and Sanitization

• Validate that rates.HVX25 is a positive number before inversion.
• Reject NaN/Infinity after inversion; log anomalies with date and raw payload.
• Enforce schema checks: fields like success, base, date, rates, unit.
• Normalize all numeric fields to a consistent decimal precision internally.

Security Considerations

• Never embed the access_key in client-side code for public applications; use a server proxy.
• Restrict egress from your network to Metals-API domains only, if possible.
• Rotate keys periodically and immediately on suspected compromise.
• Log requests and responses (redacting keys) for traceability.

Performance and Scaling

• Schedule off-peak batch backfills to minimize contention with real-time workloads.
• Precompute analytics (e.g., USD per short ton, pct change) in your data pipeline.
• Store daily aggregates in a columnar warehouse for fast BI queries.
• Deploy regional caches/CDN for distributed applications.

Integration Patterns and Architecture

• Server-Side Proxy: Centralize Metals-API access in a microservice that handles auth, caching, and normalization to USD/short ton.
• Data Lake Ingest: Land raw JSON, then ETL to analytics models; retain raw for audit.
• ERP/CPQ Integration: Expose an internal API that returns official prices for approval workflows and RFQs.
• Alerting: Combine time-series with thresholds to alert procurement on moves in HVX25.

Real-World Scenarios

• Backtesting Hedges: Pull daily HVX25 for Nov 2025 and simulate outcomes vs. physical volumes.
• Accrual True-Up: Match the HVX25 close for each business day to your accrual model; use OHLC if you require a conservative high/low bound.
• Supplier Benchmarking: Compare USD per short ton across periods to quantify savings or slippage.

Troubleshooting Common Pitfalls

• Unit Confusion: Always confirm unit is “per short ton” for HVX25. Invert for USD/short ton display.
• Weekend Gaps: Use forward-fill only in UI, not in raw storage; keep raw truth intact.
• Date Drift: Ensure your date strings are UTC-normalized to avoid off-by-one errors near midnight UTC.
• Parsing Errors: Treat numbers as floats; avoid integer truncation; preserve precision during storage.

Governance, Audit, and Compliance

• Immutable History: Store original payloads to reproduce past approvals and invoices.
• Data Lineage: Track transformations (inversion, rounding) and the code versions that applied them.
• Access Controls: Limit who can see keys and production pricing endpoints.

Advanced Analytics on HVX25

• Volatility: From inverted USD/short ton daily series, compute realized vol for stress tests.
• Regime Detection: Segment November 2025 into volatility regimes for procurement strategy.
• Scenario Planning: Simulate cost variance given expected HVX25 shifts vs. long-term averages.

Innovating with Metals-API: Digital Transformation in Metals

Digital transformation in metal markets hinges on reliable data flows, flexible APIs, and analytics-ready payloads. Metals-API enables developers to embed HVX25 historicals into smart procurement tools, risk dashboards, and manufacturing cost models. Pairing standardized endpoints with internal ML pipelines leads to faster iterations, stronger governance, and reduced manual effort. As data analytics and smart technology integrate deeper with procurement and supply chain, the next wave of innovation will be driven by accurate, programmatic access to commodity benchmarks—exactly what Metals-API was built to deliver.

Full Request/Response Walkthroughs

Historical: Another Date Example (Success)

curl -s "https://metals-api.com/api/2025-11-20?access_key=YOUR_ACCESS_KEY&symbols=HVX25&base=USD"

{
"success": true,
"timestamp": 1763596800,
"base": "USD",
"date": "2025-11-20",
"rates": {
"HVX25": 0.000449
},
"unit": "per short ton"
}

Time-series: Partial Window (Success)

curl -s "https://metals-api.com/api/timeseries?access_key=YOUR_ACCESS_KEY&start_date=2025-11-10&end_date=2025-11-14&symbols=HVX25&base=USD"

{
"success": true,
"timeseries": true,
"start_date": "2025-11-10",
"end_date": "2025-11-14",
"base": "USD",
"rates": {
"2025-11-10": { "HVX25": 0.00045 },
"2025-11-11": { "HVX25": 0.000449 },
"2025-11-12": { "HVX25": 0.000451 },
"2025-11-13": { "HVX25": 0.000452 },
"2025-11-14": { "HVX25": 0.00045 }
},
"unit": "per short ton"
}

OHLC: Another Day (Success)

curl -s "https://metals-api.com/api/open-high-low-close/2025-11-20?access_key=YOUR_ACCESS_KEY&symbols=HVX25&base=USD"

{
"success": true,
"timestamp": 1763596800,
"base": "USD",
"date": "2025-11-20",
"rates": {
"HVX25": {
"open": 0.00045,
"high": 0.000452,
"low": 0.000447,
"close": 0.000449
}
},
"unit": "per short ton"
}

Empty Result Scenario (Edge Case)

{
"success": true,
"timeseries": true,
"start_date": "2025-11-02",
"end_date": "2025-11-02",
"base": "USD",
"rates": {},
"unit": "per short ton"
}

Interpretation: No data for that date. Decide whether to forward-fill or skip the day in your model.

Testing and Validation Checklist

• Unit Tests: Verify inversion math and date-window slicing.
• Contract Tests: Validate response schema fields exist and are typed as expected.
• Golden Files: Store sample payloads to guard against accidental parsing regressions.
• Monitoring: Alert on response errors, unusually high nulls, or unexpected unit/base changes.

Deployment and Operations

• Environments: Separate keys for dev, staging, prod; never reuse production keys in lower tiers.
• Secrets Management: Use a vault or cloud secret manager; do not store keys in code.
• Observability: Log request latency, status codes, and payload sizes; monitor for spikes.
• SLOs: Define acceptable data freshness windows and error budgets for your service.

Data Ethics and Usage

• Terms: Ensure your use complies with your Metals-API plan terms and symbol permissions.
• Attribution: Follow any attribution requirements as outlined in the documentation.
• End-User Clarity: Display units and timestamp context to avoid misinterpretation.

Next Steps and Documentation

• Review endpoint details and optional parameters on the Metals-API Documentation.
• Confirm HVX25 availability on the Symbols Directory.
• Get started now with a free key at the Metals-API Website.

Conclusion

For US Midwest Steel CRU Nov 2025 (HVX25) historical pricing “per short ton,” Metals-API provides a clean, developer-friendly way to fetch single-date fixes, daily time series, and OHLC data. The JSON responses are consistent, the units explicit, and the integration straightforward. With proper handling of inversion (to USD/short ton), UTC timestamps, and caching, you can reliably backfill historical charts, validate contract settlements, and power risk dashboards. Start by verifying HVX25 on the Supported Symbols page, then implement the Historical, Time-series, and OHLC calls documented above. When you’re ready, grab your key from the Metals-API Website and ship your integration.

FAQ

What does the HVX25 rate represent in the response?

It’s short tons per USD (because USD is the base). Invert it to get USD per short ton, which is what most business users expect.

How do I handle missing days in November 2025?

Use forward-fill for visualization, but keep raw gaps intact for audit. Document your fill logic.

Can I change the base currency from USD?

Depending on your plan, yes. Check the documentation. If you change base, re-check your inversion math.

Which endpoints should I use for historical HVX25?

Historical (single date), Time-series (range), and OHLC (open/high/low/close for a date) are the essentials for this use case.

How should I store the data?

Store raw JSON plus normalized USD/short ton in your database. Keep a lineage record of transformations and code versions for audit.

Where do I find the official symbol name and unit?

Use the Metals-API Supported Symbols page to confirm symbol availability, description, and unit details.

How do I get started?

Visit the Metals-API Website, create a free account, obtain your API key, and try the cURL examples above with HVX25.