How to Get Real-Time Aluminum China Spot (ALU-CH) - Per Ton Prices with Metals-API using Node.js and axios
If your trading dashboard, procurement app, or ERP needs real-time Aluminum China Spot (ALU-CH) per metric ton prices, you can wire it up in minutes with Metals-API using Node.js and axios. This guide shows exactly how to request the ALU-CH spot price, convert and normalize units, store time series for analytics, and integrate safely at scale. We’ll focus on practical implementation—how to fetch latest and historical ALU-CH values, interpret the JSON response, convert between units like tons and kilograms, and handle realities like timestamps, base currencies, market closures, and caching. You’ll leave with working curl and Node.js examples, a robust data handling checklist, and performance/security best practices.
What is ALU-CH and why developers prefer a clean JSON feed
ALU-CH is the Aluminum China Spot benchmark—commonly referenced by supply chain teams, quant researchers, and commodity traders who need transparent price discovery for aluminum ingot or billet flows tied to Chinese markets. With Metals-API, ALU-CH is available as a symbol via a simple REST interface, so you can programmatically pull:
- Real-time or near-real-time ALU-CH per metric ton pricing (depending on your plan’s refresh interval).
- Historical snapshots for backfilling charts and risk models.
- Time-series spans for trend analysis and model features.
- OHLC daily aggregates to simplify candlestick charting and volatility tracking.
Metals-API delivers these as JSON in a consistent schema with clear metadata—timestamp, base currency (default USD), unit, and a rates map keyed by symbol. That consistency is powerful when you’re building automated processing pipelines for procurement decisioning, dynamic e-commerce pricing, or programmatic hedging strategies.
Get your ALU-CH integration live in 10 minutes
You’ll need an API key and a quick read of the docs. Start here:
- Metals-API Website — create a free account to get your API key.
- Metals-API Documentation — endpoint details and query parameters.
- Metals-API Supported Symbols — confirm the ALU-CH symbol and unit conventions.
Core design decisions before you code
- Unit strategy: ALU-CH is quoted per metric ton (tonne) in most workflows. Decide your canonical unit internally (tons, kilograms, pounds) and normalize immediately after fetching.
- Currency: API responses default to base USD. If you price in CNY, EUR, or another currency, convert at ingestion time for deterministic reporting.
- Latency expectations: Depending on your plan, “latest” updates are available in intervals (for example, every 60 or 10 minutes). Align polling frequency and caching logic with business needs.
- Market closures: Commodities trade profiles include weekends/holidays. Historical and OHLC queries around closures should expect unchanged or missing values.
- Persistence: Store raw responses plus normalized values to preserve auditability and support reproducible analytics.
Endpoints we’ll use for ALU-CH
We’ll focus on three endpoints that cover most real-time and analytics integrations for Aluminum China Spot:
- Latest Rates: real-time ALU-CH per ton.
- Time-Series: a continuous daily series between two dates—ideal for line charts and regressors.
- OHLC: open/high/low/close for a selected day—ideal for candlesticks and volatility screens.
For a wider tour (Bid/Ask, Historical single-day snapshots, Fluctuation, Conversion, Intraday, LME-specific histories, etc.), refer to the Metals-API Documentation. Always verify symbol definitions and units on the Metals-API Supported Symbols page.
Authentication, base path, and security
All calls include your API key via the access_key query parameter. Treat it like a password:
- Never hardcode keys in client-side code or public repos.
- Store keys in server-side environment variables or secret managers.
- Rotate keys if you suspect exposure and use allowlists when available.
Example base pattern: https://metals-api.com/api/[endpoint]?access_key=YOUR_KEY&[parameters]
Always review API plan constraints for refresh intervals and quotas in your Metals-API account.
Requesting the latest ALU-CH per ton price
Use the Latest Rates endpoint to get the most recent ALU-CH value. You can request a subset of symbols to reduce payload size and improve throughput.
curl example: Latest ALU-CH
curl -s "https://metals-api.com/api/latest?access_key=YOUR_ACCESS_KEY&symbols=ALU-CH&base=USD"
Sample JSON response (Latest)
{
"success": true,
"timestamp": 1789863506,
"base": "USD",
"date": "2026-09-20",
"rates": {
"ALU-CH": 0.00045
},
"unit": "per metric ton"
}
How to read this
- success: Boolean indicating request success.
- timestamp: Unix epoch (seconds). Treat as UTC.
- base: The base currency for rates. Default is USD. A rate of 0.00045 means 0.00045 metric tons per 1 USD.
- date: ISO date associated with the quote snapshot.
- rates: Map of symbol to numeric rate. For ALU-CH, this is typically metric tons per base currency unit when the unit is “per metric ton”.
- unit: Confirms the quotation unit. For ALU-CH, expect “per metric ton” (check the Symbols page for confirmation).
Converting the rate to USD per ton
Rates are expressed as quantity of the commodity per 1 base currency unit. If rates[“ALU-CH”] = 0.00045 tons per USD, then USD per ton = 1 / 0.00045 ≈ 2222.22 USD/ton. If you store prices as USD/ton, invert once and cache the result for downstream services.
Node.js with axios: Fetch and normalize to USD/ton
const axios = require('axios');
async function fetchAluChUsdPerTon() {
const url = 'https://metals-api.com/api/latest';
const params = {
access_key: process.env.METALS_API_KEY,
symbols: 'ALU-CH',
base: 'USD'
};
const res = await axios.get(url, { params, timeout: 10000 });
if (!res.data || !res.data.success) {
throw new Error(`Metals-API error: ${JSON.stringify(res.data)}`);
}
const rateTonsPerUsd = res.data.rates['ALU-CH'];
if (typeof rateTonsPerUsd !== 'number' || rateTonsPerUsd <= 0) {
throw new Error('Invalid ALU-CH rate in response');
}
const usdPerTon = 1 / rateTonsPerUsd;
return {
timestamp: res.data.timestamp,
date: res.data.date,
base: res.data.base,
unit: res.data.unit,
rate_tons_per_usd: rateTonsPerUsd,
usd_per_ton: usdPerTon
};
}
fetchAluChUsdPerTon()
.then(data => {
console.log(JSON.stringify(data, null, 2));
})
.catch(err => {
console.error('Failed to fetch ALU-CH:', err.message);
process.exit(1);
});
What to persist
- Raw payload (for audit/debug).
- Normalized price (USD/ton), timestamp, symbol, unit, and base currency.
- Derivatives if needed: USD/kg, USD/lb, percent change from previous close, etc.
Time-series ALU-CH: backfilling and analytics
To train models, backfill charts, or compute rolling metrics (SMA, EMA, volatility), request a daily time series for ALU-CH between two dates. Time-series queries reduce the complexity of stitching individual historical calls.
curl example: Time-series for ALU-CH
curl -s "https://metals-api.com/api/timeseries?access_key=YOUR_ACCESS_KEY&start_date=2026-09-13&end_date=2026-09-20&symbols=ALU-CH&base=USD"
Sample JSON response (Time-series)
{
"success": true,
"timeseries": true,
"start_date": "2026-09-13",
"end_date": "2026-09-20",
"base": "USD",
"rates": {
"2026-09-13": { "ALU-CH": 0.00046 },
"2026-09-15": { "ALU-CH": 0.000455 },
"2026-09-20": { "ALU-CH": 0.00045 }
},
"unit": "per metric ton"
}
How to use the series
- Each date key yields ALU-CH tons per USD. Invert to get USD/ton if that is your canonical price.
- Missing dates can reflect weekends/holidays—don’t assume continuity. Forward-fill with caution and always annotate.
- For analytics, compute derived fields upon ingestion (e.g., change, change_pct, SMA(5), SMA(20)).
OHLC for ALU-CH: candlesticks and risk signals
To visualize market structure or compute intraday-driven risk signals, use the OHLC endpoint to get daily open, high, low, and close aggregates for ALU-CH.
curl example: OHLC for a specific date
curl -s "https://metals-api.com/api/open-high-low-close/2026-09-20?access_key=YOUR_ACCESS_KEY&symbols=ALU-CH&base=USD"
Sample JSON response (OHLC)
{
"success": true,
"timestamp": 1789863506,
"base": "USD",
"date": "2026-09-20",
"rates": {
"ALU-CH": {
"open": 0.000456,
"high": 0.000462,
"low": 0.000449,
"close": 0.00045
}
},
"unit": "per metric ton"
}
Applying OHLC data
- Compute candlesticks: transform to USD/ton by inversion for charting.
- Risk screening: use intraday ranges (high-low) as a proxy for volatility.
- Signal engineering: compare close to moving averages or previous close for momentum flags.
Interpreting units and converting correctly
The Metals-API response includes the unit field. For ALU-CH, expect “per metric ton.” The numeric rate expresses how many metric tons you get per 1 unit of the base currency (e.g., per USD). To convert:
- USD per ton = 1 / (tons per USD)
- USD per kilogram = (USD per ton) / 1000
- USD per pound ≈ (USD per kilogram) × 2.2046226218
Always store the final unit alongside the value. If your UI mixes units (e.g., kg for manufacturing and lb for logistics), centralize your conversions in a utility module and add unit tests to avoid drifting formulas.
Time and timezone handling
- timestamp is Unix epoch seconds in UTC. Convert once at ingestion using standardized libraries and store both epoch and ISO8601.
- date is the business date of the snapshot. Use this to bucket daily analytics regardless of local timezone.
- For daily aggregates, align your “as-of” cutover to UTC unless your business mandates a local market close convention.
Caching and polling strategy
- Honor your plan’s refresh interval. Polling faster than the update cadence wastes quota.
- Implement a response cache keyed by endpoint+parameters. Invalidate based on timestamp or max-age heuristics aligned with your plan interval.
- For dashboards, a 5–15 second UI refresh reading a server-side cached value is usually sufficient.
Error handling and retries
- Check success before reading rates. Log non-success payloads for diagnosis.
- Use exponential backoff with jitter for transient network errors.
- Differentiate client (4xx) vs server (5xx) cases. Avoid retrying hard 4xx failures (e.g., invalid key).
- Protect downstream math: validate that rate > 0 before inversion, and guard against NaN/Infinity propagation.
Data validation and sanitization
- Assert symbol presence: rates should contain “ALU-CH”. If not, fall back to the last good value or flag the data gap.
- Type-check numerics. Reject or quarantine payloads with unexpected data types.
- Schema-stable parsing: extract only fields you need (success, timestamp, base, unit, rates[“ALU-CH”]) to minimize coupling.
Security best practices
- Store access keys in environment variables or a secret manager (e.g., AWS Secrets Manager, GCP Secret Manager, HashiCorp Vault).
- Send requests from a server you control; do not expose keys in client-side web or mobile code.
- Implement outbound allowlisting and TLS certificate verification in your infrastructure.
- Log minimally: scrub keys from logs and error messages.
Performance and cost optimization
- Request only the symbols you need (symbols=ALU-CH) instead of full metal sets.
- Consolidate time-series pulls into batch windows (e.g., daily backfills) to reduce chatter.
- Cache normalized prices server-side for downstream consumers (microservices, BI, and UIs).
- Use efficient data formats internally (e.g., Parquet for analytics) after ingesting JSON.
Production data pipeline blueprint for ALU-CH
- Ingest: Server-side worker hits Latest at configured intervals; Time-Series/OHLC for scheduled analytics.
- Validate: Check success, symbol presence, and unit match (“per metric ton”).
- Normalize: Invert to USD/ton; calculate derived metrics (USD/kg, USD/lb, day-over-day pct change).
- Persist: Store raw JSON, normalized facts, and metadata (timestamp, date, base, unit, version).
- Distribute: Expose a read-optimized cache (Redis) or service endpoint to apps and BI tools.
- Monitor: Track ingestion latency, last successful timestamp, and variance checks for anomaly detection.
Practical tips developers usually wish they knew earlier
- Weekend/holiday handling: Expect unchanged values or missing business dates. Don’t fabricate prices. If your UI needs a continuous axis, visually distinguish non-trading days.
- On-the-fly currency conversion: If pricing in non-USD, convert ALU-CH USD/ton to your currency close to the point of use to avoid drift. Persist the FX rate used.
- Reconciliation: Keep a daily “close snapshot” to reconcile with downstream invoices, quotes, and analytics.
- Feature engineering: Store both raw (tons per USD) and canonical (USD/ton). Many models benefit from the original representation as well.
Advanced analytics scenarios for ALU-CH
- Rolling signals: SMA/EMA of USD/ton, Bollinger bands, realized volatility, drawdowns.
- Cross-market context: While your code should focus on ALU-CH, your analytics layer can correlate ALU-CH with freight indices, USD/CNY FX, and energy costs (managed in your own data warehouse).
- Alerting: Threshold alerts on daily change_pct or intraday high-low range; send to Slack/Teams or trigger order workflows.
Robustness checklist
- Unit tests for conversions and response parsing.
- Schema sentinel: verify presence and type for expected fields.
- Retry and backoff with circuit breaker for transient issues.
- Backfill job to repair gaps after outages.
- Observability: metrics for request latency, success ratio, cache hit rate, last-timestamp age.
Endpoint details for ALU-CH workflows
Latest Rates (ALU-CH)
Purpose: Fetch the most recent Aluminum China Spot price for trading, pricing, or dashboard display.
- Endpoint: /api/latest
- Required parameters: access_key
- Recommended parameters: symbols=ALU-CH, base=USD
Example request:
https://metals-api.com/api/latest?access_key=YOUR_ACCESS_KEY&symbols=ALU-CH&base=USD
Success response fields you’ll use:
- success: bool
- timestamp: epoch seconds (UTC)
- date: ISO date
- base: currency code (e.g., USD)
- rates.ALU-CH: number (tons per base unit)
- unit: string (e.g., “per metric ton”)
Typical failure scenarios:
- Invalid API key: ensure access_key is correct and active.
- Symbol not permitted on plan: check plan entitlements or limit to allowed symbols.
- Network timeouts: raise timeout to 10–15s and retry with backoff.
Performance tips:
- Request only ALU-CH to minimize payload.
- Server-side cache with TTL aligned to your plan’s refresh interval.
Security:
- Never expose the access_key in client code; proxy via your server.
- Rate-limit your own downstream endpoints to prevent burst fan-out to Metals-API.
Time-Series (ALU-CH)
Purpose: Retrieve daily ALU-CH values for backfills, charting, and model features.
- Endpoint: /api/timeseries
- Required: access_key, start_date, end_date
- Recommended: symbols=ALU-CH, base=USD
Example request:
https://metals-api.com/api/timeseries?access_key=YOUR_ACCESS_KEY&start_date=2026-09-13&end_date=2026-09-20&symbols=ALU-CH&base=USD
Key fields:
- timeseries: bool
- start_date / end_date: ISO dates bounding the series
- rates[YYYY-MM-DD].ALU-CH: number (tons per base unit)
- unit: expected “per metric ton”
Common pitfalls:
- Missing dates on weekends—handle gaps gracefully.
- Very long ranges may be limited by plan constraints—batch by month/quarter if needed.
Optimization:
- Schedule a daily job after market close to append the latest bar and avoid redundant pulls.
OHLC (ALU-CH)
Purpose: Get open/high/low/close aggregates for a business day to drive candlestick charts and volatility metrics.
- Endpoint: /api/open-high-low-close/YYYY-MM-DD
- Required: access_key, date path param
- Recommended: symbols=ALU-CH, base=USD
Example request:
https://metals-api.com/api/open-high-low-close/2026-09-20?access_key=YOUR_ACCESS_KEY&symbols=ALU-CH&base=USD
Key fields:
- rates.ALU-CH.open/high/low/close: numbers (tons per base unit)
- unit: expected “per metric ton”
- timestamp/date/base: same semantics as Latest
Usage tips:
- Invert to USD/ton for charts if that’s your standard.
- Compute intraday range = high - low (in tons per USD) or its USD/ton analog post-inversion.
Unit testing your ALU-CH adapter
- Mock success payloads with fixed timestamp/date and deterministic ALU-CH rate; verify inversion math.
- Mock failures (success=false) and network timeouts; assert retry/backoff.
- Mock unit mismatches and symbol absence; assert quarantining and alerts.
Observability and SRE considerations
- Metrics: request latency, failure rate, last success age, normalized price drift vs prior day.
- Alerts: staleness beyond SLA (e.g., no fresh ALU-CH in N minutes), parsing failures, downstream cache misses.
- Dashboards: overlay Metals-API timestamp and your processing time to spot bottlenecks.
Integrating ALU-CH into pricing and procurement
- Dynamic quotes: factor USD/ton into BOM-based calculators; lock quotes to the snapshot timestamp.
- Budgeting: produce weekly/monthly averages from the time-series endpoint.
- Risk: add alerting on threshold moves; integrate with approval workflows.
Data governance and auditability
- Store immutable raw JSON and computed facts with versioned schemas.
- Record the API key identifier (not the secret) and endpoint used for each record.
- Maintain a reconciliation log to trace any price displayed to its source payload and timestamp.
Scaling patterns
- Fan-in aggregator: one ingestion service populates Redis/Postgres; multiple services read from there.
- Backpressure: if downstream slows, decouple via queues and drop non-critical events while preserving core snapshots.
- Sharding: if you later add more symbols, shard by symbol to parallelize ingestion without exceeding quotas.
Digital transformation with Aluminum data
ALU-CH feeds power smarter procurement and manufacturing: automated re-pricing of aluminum-heavy SKUs, just-in-time contract checks, and supply chain playbooks that respond to price shocks in real time. Paired with internal telemetry (inventory, lead times) and predictive analytics, Metals-API enables a feedback loop: sense the market, simulate impact, and act—continuously. This is how smart factories, fintechs, and trading tools modernize metal exposure management without bespoke data plumbing.
Where to learn more and get started
- Sign up and get your free API key on the Metals-API Website.
- Confirm ALU-CH availability and units on the Metals-API Supported Symbols page.
- Dive deep into parameters and additional endpoints in the Metals-API Documentation.
For broader market context and macro analysis, consider complementing ALU-CH with independent research sources such as exchange bulletins and reputable financial news services. Combine these with your Metals-API pipeline for a complete picture.
Conclusion
Integrating real-time Aluminum China Spot (ALU-CH) per ton pricing with Metals-API is straightforward and production-ready. Use the Latest endpoint for live dashboards and quotes, Time-Series for backfills and analytics, and OHLC for candlesticks and volatility screens. Normalize units and currencies consistently, cache aggressively to respect plan intervals, handle weekends/holidays properly, and harden your pipeline with validation, retries, and observability. With these practices—and a few lines of Node.js using axios—you can power next-generation procurement, trading, and fintech experiences on top of reliable metals data. Get your API key today on the Metals-API Website and start building.
FAQ
What symbol should I use for Aluminum China Spot?
Use ALU-CH. Verify symbol availability and unit conventions on the Supported Symbols directory.
What unit does ALU-CH use?
ALU-CH is generally quoted per metric ton. Confirm the unit field in the API response and on the Symbols page before applying conversions.
Are the rates quoted as USD per ton or tons per USD?
By default, Metals-API returns metal quantity per base currency unit (e.g., tons per USD) and includes a unit field in the response. Invert to derive USD per ton if that’s your canonical price.
How frequently can I get updates?
The Latest endpoint updates based on your plan’s interval (e.g., every 60 minutes, every 10 minutes, etc.). Align your polling and caching to that cadence. Check your account for exact limits.
How do I handle weekends and holidays?
Expect missing dates or unchanged values in time series. Avoid forward-filling for trading signals; if you must, annotate the data for transparency.
Can I get OHLC for ALU-CH?
Yes. Use the OHLC endpoint for the date of interest and include symbols=ALU-CH. It returns open, high, low, and close for your chosen base currency.
How do I convert ALU-CH to EUR or CNY?
Request base=EUR or base=CNY, or convert USD/ton to your target currency using your internal FX rates workflow. Store the FX rate used to ensure auditability.
Is there a sandbox?
Create an account and use your key with non-production services first. Gate production cutover with feature flags and staged rollouts.
Where can I find complete parameter options?
See the official Metals-API Documentation for all endpoints and parameters.