For over 35 years, Tick Data has removed the challenges of collecting, validating, cleaning, and formatting research-quality historical intraday financial market time series data. We provide in minutes or hours what would otherwise take weeks or months for our clients to develop. Spend your time analyzing data, not building it.
Tick Data’s historical intraday Cash Index data includes:
- Tick-by-tick data for 60+ global cash indices – See List of Available Cash Indices
- Fields include SYMBOL, DATE, TIME and PRICE
- Time stamped to the millisecond since July 2011
- Data delivered in ASCII text files for easy integration (e.g. OneTick®, R, MATLAB®, MongoDB®, Kdb+, etc.)
- Build custom time series via TickWrite® 7, TickWrite® Web, or TickAPI®
- Update subscription available to keep cash index data current
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Cash Index Data Pricing
Prices for over 50 cash indices as far back as Feb-1-1983. For API/leased data pricing, please click here. All prices in USD:
|PICK 15 (per year)||$75|
|PICK 30 (per year)||$60|
|Complete History for One Symbol||$1,000|
|1 Year Updates Per Symbol||$150|
|1 Year History All Symbols||$1,275|
|1 Year Updates All Symbols||$1,275|
Prices subject to Delivery Support Fee and sales tax. Discounts are available for custom and larger data requests, including Complete Dataset orders. Please click here to contact our Sales department.
Additional Pricing Information
Order data for a symbol subset and custom date range using the PER SYMBOL-YEAR pricing, or order data for all available symbols (both active and inactive) for a desired date range under the ALL SYMBOLS pricing.
Minimum Order Amounts
$1,000 for new clients and $500 for returning clients.
We offer volume discounts based on the total number of Symbol-Years per order. For example, our PICK 30 discount applies when you order any combination of 30 Symbol-Years of data (e.g. 10 underlying symbols x 3 years = 30 Symbol-Years).
Complete Futures & Index Dataset
A purchase of the Complete Futures Dataset License includes both the Complete Futures dataset and the Complete Cash Index dataset.