Get Lebanese Pound (LBP) - N/A Historical Prices using this API for daily time series

If you price metal-backed products, rebalance a commodities portfolio, or reconcile ERP entries in the Lebanese market, you need reliable historical Lebanese Pound (LBP) time series. This guide shows how to get LBP historical prices using Metals-API’s daily time-series features so you can benchmark, chart, and analyze value movements over time. We’ll cover endpoint selection, parameters, realistic response parsing, pitfalls like weekends and market closures, units (troy ounces vs grams), base currency strategies, and performance tips like caching. You’ll leave with working requests and code you can adapt to your data pipelines. To get started quickly, visit the Metals-API Website and obtain a free API key.

What you’ll build: a daily LBP historical time series for pricing and analytics

Our core use case is to retrieve a daily historical price series that includes the Lebanese Pound (LBP) so you can:

• Backfill LBP-denominated charts of metals or currency conversions in trading dashboards.
• Run time-based analytics (moving averages, volatility, drawdowns) on LBP series for risk and P&L explain.
• Set pricing rules for e-commerce/ERP catalogs that convert to LBP daily at market open or end-of-day.
• Feed quant models that require consistent LBP time buckets for factor backtests.

We’ll focus on the daily Time-Series and Historical endpoints, plus Fluctuation for quick change stats—keeping the scope tight to what you need for LBP historicals. For a broader feature overview or other endpoints (OHLC, bid/ask, intraday), review the Metals-API Documentation.

Quick background: base currency, units, and how LBP fits

Metals-API returns exchange rates with a base currency and a set of rates. Rates are typically quoted “per troy ounce” for metals and relative values for currencies. By default, the base is USD; you can specify a different base where supported, such as LBP. When you select LBP as the base, the API returns how many units of each requested symbol are worth one LBP, or vice versa depending on the endpoint and parameters. Always confirm symbol coverage on the Metals-API Supported Symbols page before you code.

Units you’ll encounter

• Metals are commonly returned “per troy ounce.” If you need grams or kilograms, convert programmatically:
  • 1 troy ounce = 31.1034768 grams
  • 1 kilogram = 32.1507466 troy ounces
• Currency rates (e.g., LBP) are quoted as exchange rates versus the base. Confirm directionality in your transformations.

Endpoints we’ll use for LBP historicals

We’ll use three endpoints relevant to daily LBP time series workflows:

1. Historical Rates Endpoint — point-in-time snapshots (useful for daily rollups and backfills).
2. Time-Series Endpoint — multi-day ranges in one call (ideal for backtests and charts).
3. Fluctuation Endpoint — quick period-over-period changes for monitoring and alerts.

For other features and advanced options, consult the Metals-API Documentation.

Authentication and request structure

Every request requires your API key via the access_key query parameter. Manage and secure your key in server-side code or vaults; avoid embedding keys in client-side apps where possible. If you haven’t created a key yet, visit the Metals-API Website and sign up for a free API key.

Security best practices

• Store keys in environment variables or a secrets manager.
• Proxy client traffic through your backend to prevent key exposure.
• Implement request signing or IP allowlisting at your edge if available.
• Monitor logs for abnormal request volume or failed auth attempts.

Time-Series endpoint: daily LBP series between two dates

The Time-Series endpoint returns a contiguous set of daily observations for your chosen date range. This is the most efficient way to reconstruct multi-day, weekly, or monthly LBP series for charts and analytics.

Purpose and when to use

• Backfill a historical chart for LBP-denominated values.
• Compute statistical measures like volatility across a date range.
• Generate features for quant models (rolling windows, z-scores) in LBP terms.

Key parameters

• access_key — your API key.
• start_date — range start in YYYY-MM-DD.
• end_date — range end in YYYY-MM-DD.
• base — default is USD; you can set LBP where supported.
• symbols — include LBP when requesting currency series; confirm coverage on the Supported Symbols page.

Example: get a daily LBP series from a USD base

In this example, we request a USD-based time series that includes LBP, which is useful when you normalize a dashboard in USD but need the LBP leg for conversions and reporting. Replace YOUR_KEY with your key.

curl "https://metals-api.com/api/timeseries?access_key=YOUR_KEY&start_date=2026-09-10&end_date=2026-09-17&base=USD&symbols=LBP"

Sample successful JSON response (structure illustrative for LBP):

{
"success": true,
"timeseries": true,
"start_date": "2026-09-10",
"end_date": "2026-09-17",
"base": "USD",
"rates": {
"2026-09-10": { "LBP": 89500.0 },
"2026-09-11": { "LBP": 89650.0 },
"2026-09-12": { "LBP": 89650.0 },
"2026-09-13": { "LBP": 89650.0 },
"2026-09-16": { "LBP": 89800.5 },
"2026-09-17": { "LBP": 89920.3 }
}
}

How to read this response

• success — request was processed successfully.
• timeseries — confirms you requested a range, not a single date.
• base — USD in this example; rates express how many LBP one USD buys.
• rates — a mapping from date to daily snapshot; each has a nested object keyed by symbol codes (LBP here).
• Date keys — weekends or closures may repeat prior values or skip; handle gracefully in your ETL.

Real-world implementation notes

• Backfilling: iterate through dates to fill gaps. If a date is missing, forward-fill the prior close for chart continuity but tag it as non-trading-day in your metadata.
• Normalization: if you plan to price metals in LBP, you’ll typically use a metals series with a base of USD and multiply by the USD→LBP rate for the same date. Ensure timestamps align.
• Units: if you later combine this LBP series with metals per troy ounce, convert to grams or kilograms as needed after you establish the LBP scalar.

Common pitfalls and troubleshooting

• LBP symbol coverage: verify that LBP appears in the Supported Symbols list before coding.
• Date windows: ensure start_date ≤ end_date; reverse order yields errors.
• Weekend/holiday gaps: do not assume seven entries per ISO week; create business-day calendars or forward-fill as policy.
• Precision: when converting large LBP values, use decimal types to avoid floating-point drift.

Error scenario example

If you request an unsupported symbol or an out-of-range date, you’ll receive an error payload. Always check success before you parse.

{
"success": false,
"error": {
"code": 202,
"type": "invalid_currency_codes",
"info": "One or more specified symbols are not supported (LBP). Check /symbols."
}
}

Recovery strategy:

• Re-check the Supported Symbols list programmatically at deployment time.
• Log missing symbols and alert a maintainer; do not silently drop them in analytics pipelines.

Historical endpoint: single-day LBP snapshots for precise backfills

Use the Historical endpoint when your job needs an authoritative snapshot for a specific date—for example, EOD valuation or a daily NAV strike. You can loop this endpoint if you prefer single-date control or if your compliance processes cache each snapshot separately.

Purpose and when to use

• Backfill a single date after a failed batch.
• Reconcile a ledger entry for a specific business day.
• Load a canonical daily price for compliance or audit trails.

Key parameters

• access_key
• date — path parameter in YYYY-MM-DD format.
• base — USD by default; set to LBP where supported if your downstream expects LBP as base.
• symbols — include LBP if you’re collecting fiat series; validate availability.

Example: fetch LBP on a given historical date

curl "https://metals-api.com/api/2026-09-16?access_key=YOUR_KEY&base=USD&symbols=LBP"

Sample response:

{
"success": true,
"timestamp": 1789571713,
"base": "USD",
"date": "2026-09-16",
"rates": { "LBP": 89800.5 }
}

What to store

• date — the business date stamped by the API; align with your valuation policy (EOD vs intraday).
• timestamp — UNIX epoch; useful for ordering snapshots and tie-outs.
• base — critical for interpreting rates; document any base changes in your data catalog.
• rates.LBP — numeric value; validate non-null and within plausible bounds before persisting.

Best practices

• Idempotent writes: key on (date, base, symbol) to prevent duplicates on retries.
• Audit trail: store request URL and response checksum alongside the value for tiebreak debugging.
• Timezone: document that dates are in UTC context unless your policy annotates local time; never mix timezones without explicit conversion.

Fluctuation endpoint: quantify LBP change over a period

Fluctuation returns period-over-period deltas and percentages, ideal for dashboards, alerts, and summary tiles. While Time-Series is best for full backfills, Fluctuation helps you quickly answer “How much did LBP move this week?”

Key parameters

• access_key
• start_date and end_date
• base (optional; defaults to USD)
• symbols — set to LBP

Example request

curl "https://metals-api.com/api/fluctuation?access_key=YOUR_KEY&start_date=2026-09-10&end_date=2026-09-17&base=USD&symbols=LBP"

Sample response:

{
"success": true,
"fluctuation": true,
"start_date": "2026-09-10",
"end_date": "2026-09-17",
"base": "USD",
"rates": {
"LBP": {
"start_rate": 89500.0,
"end_rate": 89920.3,
"change": 420.3,
"change_pct": 0.4696
}
}
}

Using these fields

• start_rate, end_rate — anchor points for your chart annotations.
• change — absolute delta; use to compute P&L for LBP-denominated exposures.
• change_pct — percent change for UI badges, alerts, and risk thresholds.

JavaScript example: fetch and normalize an LBP time series

This example fetches a USD-based daily LBP series, fills missing business days, and returns an array ready for charts. Replace YOUR_KEY with your API key.

async function fetchLBPSeries(start, end) {
const url = new URL("https://metals-api.com/api/timeseries");
url.searchParams.set("access_key", "YOUR_KEY");
url.searchParams.set("start_date", start); // YYYY-MM-DD
url.searchParams.set("end_date", end); // YYYY-MM-DD
url.searchParams.set("base", "USD");
url.searchParams.set("symbols", "LBP");

const res = await fetch(url.toString(), { timeout: 15000 });
if (!res.ok) throw new Error("HTTP " + res.status);
const data = await res.json();

if (!data.success) {
const info = (data.error && data.error.info) || "Unknown API error";
throw new Error(info);
}

// Normalize to sorted array of { date, rate }
const dates = Object.keys(data.rates).sort();
const out = [];
let last = null;
for (const d of dates) {
const day = data.rates[d] || {};
const rate = day.LBP != null ? day.LBP : last; // forward-fill
if (rate == null) continue; // skip until first real value arrives
out.push({ date: d, rate });
last = rate;
}
return out;
}

// Example usage:
fetchLBPSeries("2026-09-10", "2026-09-17")
.then(series => {
console.log(series.slice(0, 3));
})
.catch(err => console.error("LBP timeseries error:", err.message));

Illustrative console output:

[
{ "date": "2026-09-10", "rate": 89500.0 },
{ "date": "2026-09-11", "rate": 89650.0 },
{ "date": "2026-09-12", "rate": 89650.0 }
]

What beginners often miss

• Forward-filling ensures your chart line doesn’t “break” on weekends or closures, but always tag these points as non-trading days to avoid bias in volatility metrics.
• Document your base. If your stored series is USD→LBP, it cannot be safely combined with an LBP→USD series without inversion.
• Use integer-safe math for large LBP values; prefer decimals/BigInt or a decimal library to avoid float rounding issues.

Combining LBP with metals data

If you aim to price metals in LBP (e.g., XAU per troy ounce converted to LBP), the common workflow is:

1. Fetch metals price series in USD base (e.g., gold per troy ounce in USD).
2. Fetch the USD→LBP time series for the same period.
3. Multiply day by day to produce metal-in-LBP series and convert units to grams or kilograms as needed.

Ensure same-day matching and timezone consistency. If the metals snapshot and LBP snapshot differ by timestamp, adopt a policy (e.g., use the latest value before 17:00 UTC) and apply consistently across your analytics.

Data governance: timestamps, timezones, and calendars

• Timestamps: Parse timestamp as UNIX epoch (seconds). Store original plus your normalized UTC datetime.
• Timezone: Treat API dates as UTC-based business days. If you display in Beirut time, convert at render-time.
• Calendars: Maintain a calendar of non-trading days to avoid accidental gap-fills during analytics like ATR or EWMA that assume trading days.

Caching and performance

• ETag/If-Modified-Since: Respect response headers if present to avoid re-downloading unchanged data.
• Server-side cache: Cache per (endpoint, base, symbols, start_date, end_date) tuple. Daily series rarely change retroactively after a cutoff.
• Batching: Prefer Time-Series over day-by-day Historical calls for long ranges to reduce request count and cost.
• Backoff/retries: Implement exponential backoff on 429/5xx; persist progress checkpoints to resume partial backfills.

Validation and sanitization

• Check success flag before reading rates.
• Validate symbols and base against your internal whitelist from the Supported Symbols endpoint documentation.
• Enforce numeric bounds and non-null checks on rates.LBP.

Error handling and recovery

• Auth errors: rotate or re-issue API keys; ensure keys aren’t expired or over quota.
• Invalid params: log the request URL and response; unit test your URL builder with known-good examples.
• Empty/partial data: flag the affected date range and re-run the job with a safe delay; do not silently drop days.

Security considerations

• Keep API keys off client apps; use a secure backend proxy.
• Apply the principle of least privilege in your infrastructure (e.g., separate runtime roles for fetchers vs. analyzers).
• Audit logs: keep structured logs with request IDs, timestamps, and hash of response payload for compliance and diagnostics.

Scaling your LBP historicals pipeline

• Batch windows: Schedule daily backfills at a fixed UTC time after close to minimize mid-update inconsistencies.
• Idempotent ETL: Design upserts keyed on date/base/symbol; make ingestion re-runnable without duplicates.
• Columnar storage: Store time series in Parquet/Delta for analytics at scale.
• Versioning: If your governance requires, snapshot daily input files and maintain a “gold” table for reconciled values.

Aside: Neodymium, smart data, and LBP-denominated analytics

In rare earth markets such as Neodymium (ND), firms increasingly integrate smart technology and analytics to translate complex supply-demand signals into localized pricing decisions. While your focus might be LBP cash flows and balance sheets, pairing precise LBP currency series with robust metals feeds enables:

• Digital transformation: automated repricing of Neodymium-containing components in LBP across ERP and e-commerce.
• Technological innovation: IoT telemetry from manufacturing combined with LBP-denominated material inputs for real-time margin tracking.
• Data insights: forecasting models that tie global ND trends to LBP-based procurement decisions.
• Future trends: scenario analysis in LBP for energy-transition metals portfolios, stress-tested against currency volatility.

This is the power of composable APIs: unify currency and metals data into a consistent, LBP-ready analytics fabric. Explore capabilities in the Metals-API Documentation.

Comparing base and symbol configurations for LBP workflows

Use case	Base	Symbols	Notes
Track LBP vs USD for dashboards	USD	LBP	Easy to integrate into USD-centric systems.
LBP-first ERP reporting	LBP	USD (and others)	Use when downstream accounts expect LBP normalization.
Price metals in LBP	USD	LBP + desired metals	Multiply USD metals prices by USD→LBP rate per day.

Observability: dashboards and alerts for LBP

• Use Fluctuation to power “LBP 7D change” tiles and alert when change_pct exceeds a threshold.
• Graph Time-Series for LBP in your BI tool; annotate weekends using your business calendar.
• Track API latency and success rate; alert on consecutive failures to protect your pipelines.

Additional resources

• Explore complete parameter options: Detailed Metals-API Documentation
• Verify LBP coverage and symbol codes: Official Supported Symbols Index
• Main site and pricing tiers: Metals-API Website — get your API key and start testing
• Background on market calendars: BIS financial activity statistics
• Macro context for FX analytics: IMF Data Portal

Implementation checklist

• Obtain an API key from the Metals-API Website.
• Confirm LBP availability on Supported Symbols.
• Start with Time-Series for a recent two-week window; validate values and gaps.
• Add Fluctuation to power change tiles and alerts.
• Codify your timezone, forward-fill policy, and base currency standards.
• Set up caching, retries, and monitoring.

Conclusion

With Metals-API, building a reliable Lebanese Pound (LBP) historical time series is straightforward: use the Time-Series endpoint for multi-day windows, Historical for point-in-time snapshots, and Fluctuation for quick deltas. Pay attention to base currency, units, timestamps, and market calendars to ensure analytical correctness. Once your LBP series is in place, you can confidently price metals in LBP, power dashboards, and feed risk and forecasting models. Ready to integrate? Visit the Metals-API Website to get your free API key and review the Metals-API Documentation for advanced options.

FAQ

Does Metals-API support LBP directly?

Check the latest coverage on the Supported Symbols page. If supported, you can request LBP in symbols or set base=LBP depending on your workflow.

How should I handle weekends and holidays?

Expect missing dates or unchanged values on non-trading days. Forward-fill for visualization if needed, but annotate these days and exclude them from volatility stats unless your methodology specifies otherwise.

Are values returned in troy ounces or grams?

Metals are “per troy ounce” by default. For currency series like LBP, values are exchange rates versus the chosen base. Convert units programmatically if your KPIs require grams or kilograms.

What timezone are dates in?

Treat response dates as UTC-aligned business days. Convert to local time (e.g., Beirut) for UI display, but store canonical UTC in your data warehouse.

How do I avoid exceeding request quotas?

Use the Time-Series endpoint to fetch ranges instead of looping day-by-day. Cache stable historical slices and revalidate periodically rather than refetching on every page load.

Can I alert on sharp LBP moves?

Yes—use the Fluctuation endpoint to compute period changes and fire alerts when absolute or percentage changes pass thresholds.

Where do I get an API key?

Sign up at the Metals-API Website to obtain a free API key and start testing immediately.