This data set is available for as a monthly subscription for $800.
For production access to data, we can customize the product to each client’s requirements and make it available for delivery through ADX. Other package options including custom subsets or retail or enterprise use-cases are also available.
This product will require a subscription request which will need to be verified and approved. In your subscription request, please provide the general use case for this data product, the number of users who will be accessing this data product, Sector/Industry of users, and regions in which this data product will be used.
Explore and Test Data Now
BattleFin Ensemble enables ready access to historical data in BattleFin’s SandBox Environment that comes with multiple testing tools including Python, R and analytics platforms. For users testing it for investment use cases, you will have access to equities/ETF market data, company fundamentals, analyst estimates, and other supplemental products. You will also have access to value added information on all data products that make it easy to understand the nuances of each product and compare them. Most products also have a pre-built Jupyter Notebook that you can use as a starting point to explore data.
If you already have Ensemble credentials, please login at: https://www.battlefinensemble.com/index.html to start exploring and testing this product.
If you would like to get more information on Ensemble or talk to an alternative data expert about your requirements or request a trial subscription, please share your information at: https://web.battlefin.com/data-buyer-interest-form-dc
BattleFin is a technology and events company focused on bringing alternative data to the world. Our Ensemble(c) platform allows corporations, hedge funds and investment firms to Source, Evaluate, Test and Purchase alternative data. BattleFin Alternative Data Discovery Days are One-on-One meeting events held in London, Hong Kong, Miami and New York.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single contract-based pricing dimension. You buy access to the Tenviz US Stocks S&P500 dataset through one purchasing option billed under a contract. There are no tiers, instance sizes, or usage add-ons to choose between. You commit to the contract terms shown in the pricing table, and pricing does not scale across multiple options. For details on the contract length or quantity rules, review the terms presented at checkout or contact the vendor.
Top-of-mind questions for buyers
What does the contract give you access to?
You get access to the Tenviz US Stocks S&P500 dataset, delivered through the vendor's alternative data marketplace. This dataset covers alternative data insights for S&P500 US equities. The single contract dimension bundles this data access without separate usage add-ons or tiers to select.
Is this billed as usage-based or a fixed commitment?
This uses a contract model, not usage-based metering. You commit to the terms shown in the pricing table rather than paying per query or per data pull. Costs do not fluctuate with how often you access the dataset. Review the checkout terms for the specific commitment length and quantity.
Does the price change based on how much data I pull or how many users access it?
No. This listing has one contract dimension with no per-user, per-query, or volume-based charges. Your cost stays fixed under the contract terms regardless of access frequency or team size. There are no overage thresholds or usage tiers that would trigger additional charges.
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Performance metrics of trades formed according to TenViz signals. For every instrument in the universe, we list all the trades on that instrument with their characteristics like enter and exit dates, gain, drawdown, win rate, compound gain, etc.
Performance metrics of trades formed according to TenViz signals. For every instrument in the universe, we list all the trades on that instrument with their characteristics like enter and exit dates, gain, drawdown, win rate, compound gain, etc.
Performance metrics of trades formed according to TenViz signals. For every instrument in the universe, we list all the trades on that instrument with their characteristics like enter and exit dates, gain, drawdown, win rate, compound gain, etc.