Netflix Inc Historical Data Downloader
A desktop app that downloads Netflix Inc (NFLXUSUSD) price history on your own machine, written straight to your disk as CSV or JSON. History runs from 2017-01-26 — around 9 years — at every timeframe from raw ticks to monthly candles. A complete Netflix Inc 1-minute series is roughly 935K rows, about 47 MB as CSV.
Preview a Netflix Inc download →Windows, macOS, Linux · €5.60 one-time for the entry licence · get the app
What the app fetches for Netflix Inc
| Symbol | NFLXUSUSD |
|---|---|
| Instrument | Netflix Inc |
| Asset class | US Stocks |
| History available from | 2017-01-26 |
| 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 | 2017-01-26 → 2026-08-01 (last completed trading day) |
| Retrieval | Local — your machine connects directly to Dukascopy Bank SA |
| Runs on | Windows, macOS, Linux |
Netflix Inc timeframes the app supports
- Tick (every quote)
- 1 second
- 1 minute
- 5 minutes
- 15 minutes
- 30 minutes
- 1 hour
- 4 hours
- Daily
- Monthly
Netflix Inc coverage & file size, timeframe by timeframe
Every Netflix Inc timeframe shares the same 2017-01-26 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) | 2017-01-26 | very large | — |
| 1 second | 2017-01-26 | very large | — |
| 1 minute | 2017-01-26 | ~935K | ~47 MB |
| 5 minutes | 2017-01-26 | ~187K | ~9 MB |
| 15 minutes | 2017-01-26 | ~62,300 | ~3 MB |
| 30 minutes | 2017-01-26 | ~31,200 | ~2 MB |
| 1 hour | 2017-01-26 | ~15,600 | ~779 KB |
| 4 hours | 2017-01-26 | ~3,900 | ~195 KB |
| Daily | 2017-01-26 | ~2,400 | ~120 KB |
| Monthly | 2017-01-26 | ~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 Netflix Inc 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 Netflix Inc
Netflix Inc (NFLXUSUSD) 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 2017-01-26 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 Netflix Inc data go?
- Netflix Inc history runs from 2017-01-26 — 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 Netflix Inc download?
- The complete Netflix Inc 1-minute history is roughly 935K rows, about 47 MB as CSV. Daily candles over the same instrument are far smaller — around 2,400 rows, 120 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 Netflix Inc 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 Netflix Inc data?
- No — we sell software. The MarketData Hub client retrieves Netflix Inc (NFLXUSUSD) 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