Get Color Coated Sheet China Spot (CCS-CH) - Per Ton Historical Prices using this API - CSV export example

If you price, hedge, or analyze Color Coated Sheet China Spot (CCS-CH) on a per-ton basis, you need clean historical data you can pull on demand, transform to CSV, and feed into your pricing and analytics stack. This guide shows exactly how to retrieve CCS-CH historical prices with Metals-API, including request patterns for single-day and time-series queries, interpreting “base” and “unit” fields, converting to USD-per-ton, and exporting to CSV for bulk use in BI and ERP systems. We’ll also unpack caching, weekend and market-closure handling, and production deployment tips. Start by checking that CCS-CH is available on the symbols catalog and then query historical endpoints to backfill your analytics or power real-time dashboards.

Why CCS-CH historical prices matter for your workflow

Color Coated Sheet (CCS) is central to roofing, appliances, automotive panels, and construction supply chains. If you manage procurement or dynamic quoting in China or sell into that market, spot movements in CCS-CH can materially alter margin, lead-time commitments, and discount logic. Developers and product teams typically need to:

Backfill historical price curves for CCS-CH to inform quoting or dynamic markups.
Automate CSV exports for data lakes, spreadsheets, or ERP ingestion (e.g., SAP, Oracle, NetSuite, Odoo).
Calculate day-over-day fluctuations for alerting and reporting.
Normalize prices into USD per metric ton or CNY per metric ton depending on their base currency requirements.

Metals-API delivers a simple JSON REST interface to retrieve the CCS-CH spot and historical series, which you can transform into the format and units your systems expect. See the full documentation at the Metals-API Documentation, and verify symbol availability on the Metals-API Supported Symbols page.

What you’ll build

In this tutorial, you’ll:

Query CCS-CH on a historical date for validation and point-in-time reconciliation.
Pull a CCS-CH time series between two dates for charting and analytics.
Convert the JSON time series to a clean CSV with date and USD-per-ton columns.
Understand units, base currency, timestamp handling, and caching strategies.
Learn practical error handling, retries, and weekend/holiday logic for continuous pipelines.

If you don’t have an API key yet, get one in minutes from the Metals-API Website. Free keys are available to start prototyping.

Confirming the CCS-CH symbol and data unit

Before coding, confirm two things:

Symbol availability. Go to the Metals-API Supported Symbols catalog and look for “CCS-CH” (Color Coated Sheet China Spot). Symbols can evolve, so assert exact spelling and hyphenation.
Unit semantics. CCS-CH is priced per ton at the spot level. Metals-API responses include a “unit” field that declares the unit for the quoted rates. For CCS-CH, expect a per-ton context. Always read the unit field from responses rather than assuming. For analytics using mixed symbols, harmonize units explicitly.

Most developers also choose a base currency early. The API’s default base is USD, and the “rates” values are relative to that base. If you need CNY as the base (or another currency), set the base parameter accordingly and confirm the returned unit and base before production.

Endpoints you’ll use for CCS-CH

We’ll focus on two endpoints that are most relevant to historical CCS-CH workflows:

Historical Rates Endpoint: Fetch CCS-CH for a single historical date. Useful for reconciliation, point checks, and day-level spot reference.
Time-Series Endpoint: Fetch daily CCS-CH prices between a start_date and end_date. Best for charting, CSV exports, backfilling models, and batch analytics.

For other functions (e.g., converting between currencies or building alerts with fluctuations), refer to the Metals-API Documentation. This article stays laser-focused on historical CCS-CH acquisition and CSV export patterns.

Authentication, base URL, and environment setup

Authentication uses an API key passed as the access_key query parameter. For production:

Store the key in secrets management (e.g., AWS Secrets Manager, Google Secret Manager, HashiCorp Vault) or encrypted config, not in client-side code.
Proxy requests through your backend if you need to hide the key from browsers.
Log usage and error rates for observability and cost control.

Get your API key at the Metals-API Website if you haven’t already.

Single-date CCS-CH retrieval with the Historical endpoint

Use the Historical Rates endpoint when you need a single trading day, for example when reconciling a specific order date or backtesting a rule on a target day.

Historical request parameters

date: Historical date in YYYY-MM-DD.
access_key: Your API key.
base: Optional. Defaults to USD; set to your desired currency if needed.
symbols: Use CCS-CH only to limit payload and simplify parsing.

Historical example request (curl)

curl -s "https://metals-api.com/api/2025-06-03?access_key=YOUR_API_KEY&base=USD&symbols=CCS-CH"

Illustrative historical JSON response

The JSON structure is consistent: success flag, timestamp, base, date, a rates object keyed by symbol, and a unit string. The example below is for illustration only; do not treat these numbers as current or historical market values.

{
"success": true,
"timestamp": 1759550400,
"base": "USD",
"date": "2025-06-03",
"rates": {
"CCS-CH": 0.00052
},
"unit": "per ton"
}

Interpreting fields you will actually use

success: Boolean. Always validate before processing. If false, inspect the error object (see troubleshooting section).
timestamp: Unix epoch (seconds, UTC). Useful for precise sorting and caching keys.
base: Currency of the rates. Defaults to USD unless specified otherwise.
date: Effective market date associated with the rates.
rates.CCS-CH: The rate relative to the base currency. With base=USD and unit="per ton", interpret as “tons per 1 USD.” For consumer display, you usually want USD per ton, which is 1 / rate. Example: if rates.CCS-CH = 0.00052 tons per USD, then USD per ton = 1 / 0.00052 ≈ 1923.08 USD/ton.
unit: The unit context. For CCS-CH, expect "per ton." Always check this field to prevent silent unit mismatches across symbols.

Pro tip: For financial UI and report consistency, convert to a “price” expression (USD per ton), round toward your business rule (e.g., to the nearest 0.01 or 1 if quoting in whole dollars), and label clearly with base and unit.

CCS-CH time series with the Time-Series endpoint

Most workflows require a continuous history for modeling, alerts, and dashboards. Use the Time-Series endpoint to retrieve daily CCS-CH values across a date range.

Time-Series request parameters

start_date: Inclusive YYYY-MM-DD.
end_date: Inclusive YYYY-MM-DD.
access_key: Your API key.
base: Optional (default USD). Choose the base you need (e.g., USD).
symbols: CCS-CH.

Time-Series example request (curl)

curl -s "https://metals-api.com/api/timeseries?access_key=YOUR_API_KEY&base=USD&symbols=CCS-CH&start_date=2025-06-01&end_date=2025-06-07"

Illustrative time-series JSON response

Again, values shown are for demonstration and not market data. The structure shows a rates map keyed by date, each containing a symbol map with one entry for CCS-CH.

{
"success": true,
"timeseries": true,
"start_date": "2025-06-01",
"end_date": "2025-06-07",
"base": "USD",
"rates": {
"2025-06-01": { "CCS-CH": 0.000515 },
"2025-06-02": { "CCS-CH": 0.000518 },
"2025-06-03": { "CCS-CH": 0.00052 },
"2025-06-04": { "CCS-CH": 0.000521 },
"2025-06-05": { "CCS-CH": 0.000523 },
"2025-06-06": { "CCS-CH": 0.000522 },
"2025-06-07": { "CCS-CH": 0.00052 }
},
"unit": "per ton"
}

Fields and usage patterns

timeseries: Boolean flag indicating a range response.
start_date, end_date: Echoed parameters letting you verify range integrity and detect clipping due to plan limits.
rates[date]["CCS-CH"]: Rate per date, relative to base (e.g., tons per USD). Convert to your preferred “price” (USD per ton) with inversion.
unit: Confirms unit context. For CCS-CH, expect "per ton".

Important: Markets can close on weekends and holidays. Depending on data availability and the exchange calendar, some dates may be missing or carry the last available price. Always perform a post-processing step to fill forward (or not) according to your business logic, and mark synthetic carry-forward rows if you do imputation.

From JSON to CSV: a clean export for CCS-CH

Many analysts and ERP systems expect CSV. After requesting the time series, convert the JSON to a two-column CSV: date, usd_per_ton. If you choose a non-USD base, adjust the column name accordingly (e.g., cny_per_ton).

Basic CSV schema

date: YYYY-MM-DD (use the API’s date keys; they’re already normalized to the market day).
usd_per_ton: Numeric; compute as inverse of rates.CCS-CH if base=USD and unit is “per ton”.

Command-line quick export with curl + jq

If you prefer a quick shell export for prototyping, the following example uses curl and jq to produce CSV. Ensure jq is installed. The output header is included.

curl -s "https://metals-api.com/api/timeseries?access_key=YOUR_API_KEY&base=USD&symbols=CCS-CH&start_date=2025-06-01&end_date=2025-06-07" \
| jq -r '
["date","usd_per_ton"],
(.rates | to_entries[] | [ .key, (1 / .value["CCS-CH"]) ])
| @csv
' > ccs_ch_history.csv

Notes:

This assumes the unit is “per ton” and base=USD. Always validate with the response’s "unit" and "base" fields. If the unit differs, adjust accordingly.
If the symbol were absent for some dates, guard against nulls and skip or fill per your logic.

JavaScript example: fetch and write a CSV file

The following Node.js sample requests a CCS-CH time series and writes a CSV. Store your key in an environment variable and do not hardcode it.

/**
* Node.js 18+ example: Export CCS-CH to CSV
* Requirements:
* - Node 18+ (fetch available globally) or node-fetch polyfill for older versions
* - Set METALS_API_KEY in your environment
* This script is illustrative; adapt error handling and retries for production use.
*/

import fs from "node:fs";

const API_KEY = process.env.METALS_API_KEY;
if (!API_KEY) {
console.error("Missing METALS_API_KEY environment variable.");
process.exit(1);
}

const params = new URLSearchParams({
access_key: API_KEY,
base: "USD",
symbols: "CCS-CH",
start_date: "2025-06-01",
end_date: "2025-06-07"
});

const url = `https://metals-api.com/api/timeseries?${params.toString()}`;

try {
const res = await fetch(url, { timeout: 30000 });
if (!res.ok) throw new Error(`HTTP ${res.status}`);

const json = await res.json();

if (!json.success) {
console.error("API error:", json.error || json);
process.exit(1);
}

if (json.base !== "USD") {
console.warn(`Base currency is ${json.base}; adjust columns accordingly.`);
}
if (json.unit !== "per ton") {
console.warn(`Unexpected unit: "${json.unit}". Verify conversion logic.`);
}

const rows = [];
rows.push(["date","usd_per_ton"]);

const entries = Object.entries(json.rates || {}).sort(([a],[b]) => a.localeCompare(b));

for (const [date, obj] of entries) {
const rate = obj?.["CCS-CH"];
if (typeof rate !== "number" || rate <= 0) {
// Skip or implement fill-forward depending on your business logic
continue;
}
const usdPerTon = 1 / rate; // invert since rate is tons per USD
rows.push([date, usdPerTon.toFixed(2)]);
}

const csv = rows.map(r => r.join(",")).join("\n");
fs.writeFileSync("ccs_ch_history.csv", csv);
console.log("Wrote ccs_ch_history.csv");
} catch (err) {
console.error("Request failed:", err);
process.exit(1);
}

Using fluctuation to summarize changes (optional)

While not necessary for basic CSV export, the Fluctuation endpoint can summarize period-over-period changes (start_rate, end_rate, change, change_pct). This is helpful for analytics and alerting without manually computing deltas. For details and additional endpoints, refer to the Metals-API Documentation.

Practical considerations: units, base currency, and inversion

Unit consistency: The response includes a “unit” string. For CCS-CH, you typically see “per ton.” Always read this field and store it alongside values in your data lake for lineage transparency.
Price inversion: With base=USD, the rates object represents “units of metal per 1 USD.” To obtain “USD per unit” (e.g., USD per ton), invert: price = 1 / rate. Keep a helper function that centralizes this logic.
Alternate base: If you set base=CNY (or another currency), the same inversion logic applies whenever you want a “price per ton” expression in that base.
Rounding and display: Choose consistent rounding (e.g., 2 decimals for USD/ton) and keep raw precision in storage for analytics.

Timestamps, weekends, holidays, and market closures

timestamp: Unix seconds UTC. Use it in caches and idempotency keys to avoid stale data issues.
Weekend/holiday logic: Industrial price series may have gaps or carry-forward behavior. Decide whether to:
- Forward-fill: For dashboards requiring continuity, mark imputed rows.
- No-fill: For trading analytics where gaps are meaningful.
Timezone: All dates are UTC-normalized in the API’s payload. Convert to local display time zones only in your frontend layer.

Caching, retries, and performance

HTTP caching: Cache time-series responses keyed by (symbol, base, start_date, end_date) for at least a day in historical ranges. Purge selectively on backfill changes only if necessary.
Conditional requests: If your stack supports ETags or last-modified semantics via a reverse proxy, leverage them to cut bandwidth.
Retries: Implement exponential backoff and jitter for transient errors (network timeouts, 5xx responses). Avoid tight loops that hammer the endpoint.
Batching: Request only needed symbols. For CCS-CH-only workflows, keep symbols=CCS-CH to reduce payload size and speed up processing.
Pagination: Historical/time-series responses are date-bounded; split long ranges into month- or quarter-sized windows if you routinely fetch multi-year spans.

Error handling and recovery strategies

Validate success: If success=false, inspect error.code and error.info fields (if present). Log them with correlation IDs.
Input validation: Check that start_date ≤ end_date and dates are within plan limits.
Null/missing data: Gracefully handle missing dates or null symbol entries. Decide between skip, forward-fill, or flagged imputation.
Time drift: Confirm timestamp alignment to date fields. If you persist both, assert consistency in periodic QA checks.
Alerting: Set alerts on consecutive fetch failures and unexpected empty datasets.

Security best practices

API key hygiene: Store keys in server-side vaults, not in client-side web apps. If you must run from a browser, route through your backend.
Access scoping: If you run multiple environments (dev/stage/prod), use distinct keys per environment for auditability.
Secrets rotation: Rotate keys periodically and on suspected leakage. Centralize rotation in CI/CD.
Least privilege infrastructure: Limit which services can reach outbound API hosts. Apply egress rules and proxy allow-lists.

Data validation and sanitization

Type checks: Assert rate values are numbers and greater than zero before inversion.
Unit checks: Fail fast if unit !== "per ton" (or expected), and route to a unit-conversion workflow where needed.
Currency checks: Ensure base in response matches your request. If not, log and correct.
Schema guards: Maintain JSON schema validation for production pipelines (e.g., using AJV in Node).

Deployment architecture patterns

Scheduled backfills: A nightly job hits the Time-Series endpoint for yesterday’s CCS-CH, writes to object storage (S3/Blob/GCS), and appends to a warehouse (Snowflake/BigQuery/Redshift).
CSV staging: Generate CSV in a temp bucket, validate row counts and date range, then atomically move to a “ready” location for ERP ingestion.
Microservice boundary: A “pricing-data” service abstracts Metals-API calls and normalizes all outputs (currency, unit, precision) so downstream apps consume a stable schema.
Observability: Emit metrics on success rates, latency, data freshness, and average USD-per-ton changes for anomaly detection.

Handling rate limits and quotas

Metals-API provides different data update frequencies and plan tiers. Implement:

Request coalescing: Deduplicate simultaneous identical requests via a memoization cache (e.g., in Redis) for your backend processes.
Backoff on 429: If you encounter rate limiting, honor Retry-After when present, or use exponential backoff.
Pre-aggregation: For dashboards that repeatedly query the same ranges, precompute aggregates (weekly averages, month-over-month changes) to reduce hits.

Data analytics and insights on CCS-CH

With CCS-CH historical series in hand, consider:

Volatility bands: Compute rolling standard deviations over 30-/90-day windows for risk monitoring and safety stock calibration.
Seasonality: Compare year-over-year seasonal effects for construction cycles in China and align procurement schedules.
Lead-lag with input costs: If you track substrate steel or coatings components, correlate CCS-CH with those inputs to forecast short-term moves.
Supplier SLAs: Benchmark delivered prices against CCS-CH spot with agreed premiums/discounts to monitor contract adherence.

For a deeper view of endpoints beyond those covered here, consult the Metals-API Documentation.

Digital transformation and CCS-CH: a brief perspective

Industrial metals pricing is moving from manual spreadsheets and broker calls to API-first architectures. For CCS-CH, this shift enables:

Smart quoting systems that adjust instantly to spot changes with guardrails and minimum margins.
Automated compliance and audit trails, where every price used in an order is traceable to a specific timestamp and API payload.
Predictive analytics that learn from historical CCS-CH movements and suggest hedging or reorder points.

In adjacent specialty markets such as Tellurium (TE), these same patterns—APIs, time series modeling, and smart telemetry—are redefining how niche metals are priced, procured, and integrated into technology-driven manufacturing. The broader trajectory is clear: integrate live market data, apply analytics, and embed results into frontline systems.

Quality assurance checklist for CCS-CH pipelines

Schema tests: Validate fields (success, timestamp, base, date, rates, unit) on every run.
Unit tests for inversion: Test 1 / rate conversion with edge cases (very small or large values).
Date integrity: Assert that output CSV includes the intended date span with expected number of business days.
Drift detection: Alert on sudden rate discontinuities outside historical volatility bands.
SLA monitoring: Track request latency and success rates against your internal SLOs.

Troubleshooting common pitfalls

“Numbers look inverted”: Remember, with base=USD, the rate is tons per USD. Invert for USD per ton.
“Missing dates in my CSV”: Confirm whether those dates were non-trading days, or your plan’s date limits clipped results. Consider forward-filling if appropriate.
“Wrong symbol or no data”: Double-check the symbol on the Metals-API Supported Symbols page. Symbols are case-sensitive and hyphen-sensitive.
“Authentication errors”: Ensure access_key is present and valid, and not URL-encoded incorrectly. Rotate keys if compromised.
“Unexpected base or unit”: Always read “base” and “unit” from the response. If mismatched, adjust logic or update your request parameters.

Data governance and lineage

Attach metadata: Store base, unit, retrieval timestamp, and the original JSON snippet alongside your CSV or warehouse tables for auditability.
Versioning: When your transformation logic changes (e.g., rounding rules), increment a data version and document the change.
Reproducibility: Keep a reproducible job configuration with pinned date ranges and request parameters for regulatory or customer audits.

End-to-end example: building a reliable CCS-CH CSV feed

Symbol verification: Confirm CCS-CH on the symbols catalog.
Credentials: Obtain and securely store your key from the Metals-API Website.
Job config: Decide base=USD and the date window (e.g., rolling 365 days).
Request: Use Time-Series endpoint with symbols=CCS-CH.
Validation: Assert success, unit="per ton", and non-null rates.
Transform: Compute usd_per_ton = 1 / rate.
Write CSV: Columns date, usd_per_ton; include headers.
Store: Save to object storage and your warehouse; tag with metadata (timestamp, base, unit).
Monitor: Track latency and alert on data anomalies; add retry logic with exponential backoff.

Security-conscious deployment tips

Use a private networking path for your servers; block outbound by default, allowlist metals-api.com.
Rotate API keys quarterly; treat leaks as incidents and cycle keys immediately.
Keep logs redacted: Do not print access_key in logs or console output; mask secrets in CI/CD pipelines.
Review third-party dependencies in your CSV export scripts; pin versions and use SCA tools.

Scaling considerations for large historical backfills

Chunk queries: Split large ranges by month to parallelize. Respect plan limits and avoid saturating connections.
Idempotency: Use deterministic file names (e.g., ccs_ch_YYYY_MM.csv) and write to temp paths before atomic rename to prevent partial files.
Incremental loads: Store last successful end_date and resume from the next calendar day.
Compression: Gzip CSVs at rest for cheaper storage; most ERPs and warehouses support compressed ingestion.

Where to go next

Read the Metals-API Documentation for full parameter options, error formats, and additional endpoints.
Verify CCS-CH and any related symbols on the Metals-API Supported Symbols page.
Get your free API key at the Metals-API Website and start pulling CCS-CH data into your pricing pipeline today.
For supplementary industry context, browse market overviews from organizations like worldsteel to align macro trends with your CCS-CH analysis.

Conclusion

With Metals-API, developers can reliably retrieve Color Coated Sheet China Spot (CCS-CH) historical data, convert it to standard “USD per ton” pricing, and export to CSV for immediate use across analytics, ERP, and quoting systems. The key is understanding the base and unit semantics, applying the correct inversion for a consumer-friendly price, and building a production-grade pipeline with validation, retries, and caching. As the metals market digitizes, these workflows unlock faster, smarter decision-making—from procurement to risk management. Start by confirming the CCS-CH symbol and pulling a focused time series, and then harden your pipeline following the best practices above. Get your API key at the Metals-API Website and begin your integration.

FAQ

Does Metals-API support CCS-CH?

Check the live catalog on the Metals-API Supported Symbols page. Symbols can be added or renamed over time.

What unit should I expect for CCS-CH?

CCS-CH is quoted per ton. Always read the “unit” field from the response to confirm. If you need a different unit, convert after retrieval.

Why do I see a small decimal for rates instead of a large USD number per ton?

With base=USD, the rates are expressed as “tons per USD.” Invert the value to get “USD per ton” for user-facing displays and CSV outputs.

How do I get a CSV directly from the API?

The API returns JSON. Convert to CSV client-side (e.g., using Node, Python, or jq). This article includes a curl + jq example and a Node.js script to produce a CSV.

How far back can I get CCS-CH history?

Historical availability can vary by symbol and plan. Attempt your desired date range with the Time-Series endpoint and confirm the returned window. If the response clips your range, adjust to the maximum available under your plan.

What about weekends and holidays?

Some dates will be non-trading days. Decide whether to forward-fill for charts or keep gaps for trading analytics. Document your choice to maintain data lineage clarity.

Can I use a non-USD base?

Yes. Set base to the currency you need (for example, CNY). Interpret the rates relative to that base, and invert to get “price per ton” in the chosen currency.

How should I secure my API key?

Store secrets server-side, never in browser code. Use environment variables or a secrets manager, rotate keys regularly, and mask keys in logs.

Ready to use Metals-API?

Try it now!