Eli Lilly & Co Historical Data Downloader
A desktop app that downloads Eli Lilly & Co (LLYUSUSD) price history on your own machine, written straight to your disk as CSV or JSON. History runs from 2017-05-11 — around 9 years — at every timeframe from raw ticks to monthly candles. A complete Eli Lilly & Co 1-minute series is roughly 907K rows, about 45 MB as CSV.
Preview a Eli Lilly & Co download →Windows, macOS, Linux · €5.60 one-time for the entry licence · get the app
What the app fetches for Eli Lilly & Co
| Symbol | LLYUSUSD |
|---|---|
| Instrument | Eli Lilly & Co |
| Asset class | US Stocks |
| History available from | 2017-05-11 |
| Timeframes | Tick → 1s → 1m → 5m → 15m → 30m → 1h → 4h → Daily → Monthly |
| Price types | Bid & Ask |
| File formats | CSV, JSON (MetaTrader, NinjaTrader, Parquet & SQLite/DuckDB from the Pro licence) |
| Coverage | 2017-05-11 → 2026-08-01 (last completed trading day) |
| Retrieval | Local — your machine connects directly to Dukascopy Bank SA |
| Runs on | Windows, macOS, Linux |
Eli Lilly & Co timeframes the app supports
- Tick (every quote)
- 1 second
- 1 minute
- 5 minutes
- 15 minutes
- 30 minutes
- 1 hour
- 4 hours
- Daily
- Monthly
Eli Lilly & Co coverage & file size, timeframe by timeframe
Every Eli Lilly & Co timeframe shares the same 2017-05-11 start date, but not the same scale — coarser candles stay small while tick and intraday files grow fast. Current through 2026-08-01:
| Timeframe | History from | Approx. rows | Approx. CSV |
|---|---|---|---|
| Tick (every quote) | 2017-05-11 | very large | — |
| 1 second | 2017-05-11 | very large | — |
| 1 minute | 2017-05-11 | ~907K | ~45 MB |
| 5 minutes | 2017-05-11 | ~181K | ~9 MB |
| 15 minutes | 2017-05-11 | ~60,400 | ~3 MB |
| 30 minutes | 2017-05-11 | ~30,200 | ~2 MB |
| 1 hour | 2017-05-11 | ~15,100 | ~756 KB |
| 4 hours | 2017-05-11 | ~3,800 | ~189 KB |
| Daily | 2017-05-11 | ~2,300 | ~116 KB |
| Monthly | 2017-05-11 | ~110 | ~6 KB |
Counts are approximate, derived from stock session hours across the available history. Tick and 1-second runs are queued and resumable rather than fetched in one pass. See the data methodology for how candles are built.
What's inside the Eli Lilly & Co file
timestamp,open,high,low,close
One row per candle; tick files instead carry timestamp,bid,ask on every quote. All timestamps are UTC. Worked examples and import steps are in the CSV & JSON format guide.
About Eli Lilly & Co
Eli Lilly & Co (LLYUSUSD) is a single-stock CFD with 9 years of retrievable history. It is commonly used for equity backtesting, factor and event studies, charting intraday and end-of-day price action, and training trading models on real OHLC history. Pick any date range from 2017-05-11 onward, choose a timeframe and the bid or ask side, and the app fetches and writes the files locally — no scripting.
Frequently asked questions
- How far back does Eli Lilly & Co data go?
- Eli Lilly & Co history runs from 2017-05-11 — roughly 9 years — up to the last completed trading day, at every timeframe from raw ticks to monthly candles. Every licence tier reaches all of it.
- How large is a full Eli Lilly & Co download?
- The complete Eli Lilly & Co 1-minute history is roughly 907K rows, about 45 MB as CSV. Daily candles over the same instrument are far smaller — around 2,300 rows, 116 KB. Tick and 1-second runs are larger again and are queued and resumable rather than fetched in one pass. Sizes are approximate; nothing is priced by volume.
- What columns are in the Eli Lilly & Co CSV file?
- OHLC files contain a timestamp plus open, high, low and close columns; tick files contain a timestamp with bid and ask prices. All timestamps are UTC. The files import directly into Excel, Google Sheets, Python (pandas read_csv), R, MetaTrader, NinjaTrader and TradingView.
- Do you sell Eli Lilly & Co data?
- No — we sell software. The MarketData Hub client retrieves Eli Lilly & Co (LLYUSUSD) on your own machine, under your instruction, directly from the source; we never host, cache or relay it. Your use of the retrieved data is subject to the source's terms.
Guides
- Get the app — Windows, macOS, Linux
- How to download historical stock data
- CSV & JSON format — columns explained
- Tick data vs OHLC candles
- Backtesting with historical data