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Market Data

Great trading strategies are only as good as the data behind them. A strategy that looks profitable on low-quality data can fall apart in real markets because of gaps, missing splits, or survivorship bias. That is why Stratifyre invests heavily in institutional-grade data – the same quality used by hedge funds and proprietary trading firms.

When you backtest a strategy, you are asking a fundamental question: “How would this have performed in the real world?” The answer is only meaningful if the historical data accurately reflects what actually happened. Here are some common data problems that Stratifyre eliminates:

  • Survivorship bias – Cheap data feeds often only include companies that are still trading today, which makes strategies look better than they actually were. Stratifyre tracks historical index composition so your backtests include companies that were delisted, merged, or went bankrupt.
  • Missing corporate actions – Stock splits, dividends, mergers, and spin-offs all affect prices. If your data does not account for these events, your backtests will be riddled with false signals. Stratifyre handles 70+ types of corporate actions automatically.
  • Gaps and errors – Free and low-cost data sources frequently have missing bars, incorrect prices, or timezone issues. Stratifyre’s data is sourced from institutional providers and undergoes rigorous quality checks.
  • Limited history – Some platforms only offer a few years of data, making it impossible to test how a strategy performs across different market regimes (bull markets, bear markets, high volatility, low volatility). Stratifyre provides 20+ years of history for US equities.

Stratifyre sources its market data from two institutional-grade providers:

Databento is one of the most respected market data providers in the institutional trading world. Through Databento, Stratifyre offers:

  • US equities – 10,000+ tickers with 20+ years of history
  • ETFs – 3,000+ exchange-traded funds
  • Futures – All major contracts from CME, CBOT, NYMEX, COMEX, and ICE, including continuous contract support
  • Options – Equity and index options
  • FX, commodities, and indices – Major pairs and benchmarks

Data is delivered at institutional quality with nanosecond-precision timestamps, accurate corporate action adjustments, and complete historical coverage.

For cryptocurrency data, Stratifyre connects directly to Binance, the world’s largest crypto exchange by volume:

  • 24/7/365 coverage – Crypto never sleeps, and neither does the data feed
  • All major pairs – BTC, ETH, and hundreds of altcoin pairs
  • Tick-level precision – Trade-by-trade data for the most accurate backtests

Stratifyre supports 10 asset classes across traditional and digital markets:

Asset Class Examples History
US Equities (EQ) AAPL, MSFT, TSLA 20+ years
ETFs SPY, QQQ, IWM Full listing history
Futures (FUT) ES, NQ, CL, GC Contract-level history
Crypto BTCUSDT, ETHUSDT Full Binance history
Options (OPT) Equity and index options Varies by underlying
Forex (FX) EUR/USD, GBP/JPY Multi-year history
Commodities (CMDTY) Gold, oil, natural gas Via futures contracts
Indices (INDEX) S&P 500, NASDAQ Long-term history
ETNs VXX, UVXY Full listing history
Mutual Funds (MF) Select coverage Varies

For full details on each asset class, see Supported Assets.

Market data is available at multiple time resolutions, from tick-by-tick to yearly bars:

  • Tick – Every quote and trade, with nanosecond timestamps
  • 1-second through 60-minute bars – Built from tick data for precision
  • Daily, weekly, monthly, yearly – Aggregated bars for longer-term analysis

Your choice of resolution affects both the granularity of your backtests and the precision of your scanners. See Timeframes for a complete guide.

Markets do not always follow a simple 9:30-to-4 schedule. Stratifyre provides data for extended trading sessions:

  • US equities – Pre-market (4:00 AM ET), regular hours, and after-hours (until 8:00 PM ET)
  • Futures – Nearly 24-hour sessions
  • Crypto – Around the clock, every day of the year

See Extended Hours for details on enabling and using extended-hours data in your strategies and scanners.

Page What you will learn
Supported Assets All 10 asset classes with exchanges, coverage depth, and history
Instruments The instrument naming format and how to search for symbols
Baskets and Universes How to use named collections of instruments like the S&P 500 without survivorship bias
Timeframes Every available data resolution from tick to yearly
Extended Hours Pre-market, after-hours, and overnight data for each asset class