DataSignals | Yes Energy, Energy Market Data Provider

Identify impactful insights and reduce operational risk with DataSignals, a purpose-built market data delivery platform designed for accuracy, scale, and confidence. This solution delivers analytics-ready historical, real-time, and continuously updated power market data across prices, transmission, generation, outages, constraints, weather, and fuels.

With unmatched historical coverage, robust data vintaging, and thousands of users relying on a shared, trusted foundation, DataSignals ensures consistency across markets and time, helping teams move faster and make decisions confidently.

“We have DataSignals Cloud with Snowflake, and that provides quick and custom-tailored access to the data that we're looking for over the course of 15 minutes as opposed to a whole afternoon or day's worth of effort collecting data.”

Sam Saunders,Data Analyst, Rayburn Electric Cooperative

“We're using the DataSignals API to feed data into our forecasting models, as well as DS Cloud to just get a complete picture and have that full database available for our machine learning algorithms and our optimizations that we've performed. I love DataSignals Cloud on Snowflake. It's great having unfettered access to all the underlying data, all the tables.”

Stephen Bliley, Product Manager, Habitat Energy

“Using the DataSignals Cloud product has allowed us to focus more on strategic-nature projects rather than trying to continue to develop and support many of the data collections that they do better at scale than we would otherwise. What I enjoy using DataSignals Cloud built on Snowflake [for] is it allows us to manage and scale based upon our needs, our projects, and the way we work as a company while leveraging the tool sets and the data that they combine into one source.”

Justin Simpson,CIO, Solea Energy

The Data Foundation Power Markets Demand

Trust Every Decision.
Rely on a dedicated data operations team that continuously monitors ISO changes and ensures consistency across markets, providing an accurate, reliable foundation for all your analysis.

Accelerate Time to Insight.
Eliminate the time and effort of manual collection and preparation by working with deeply normalized datasets that integrate seamlessly into your existing tools and workflows.

Scale Analytics and AI/ML.
Support the full spectrum of analytic capabilities—from diagnostic analytics (e.g., scenario comparisons and backtesting) to advanced modeling, forecasting, and prescriptive analytics (e.g., automation and AI/ML) on the same unified data foundation, utilizing unmatched historical vintaging and depth.

Minimize Operational Risk.
Avoid the hidden costs and complexity of homegrown data collections and fragmented data sources with a platform trusted by thousands of active market participants.

Access a Trusted Source of Market Data

Eliminate Manual Data Collection and Reduce Operational Risk with a Single, Normalized Data Foundation.

DataSignals delivers rigorously validated power market data across all critical categories including prices, transmission, generation, outages, weather, and fuel markets. With consistent structures across markets and historical vintaging of time-series data, forecasts, and revisions, teams can rely on a single source of truth without managing complex data pipelines.

Analyze Market Dynamics with Confidence

Understand Market Behavior Using Analytics-ready Data Built for Nodal Power Markets.

Use real-time, forecasted, and historical datasets to analyze congestion, price formation, system conditions, and trends across regions. DataSignals supports time series analysis, scenario comparisons, and advanced modeling using the tools and platforms your team already relies on.

Monitor Outages and System Conditions

Stay Ahead of Market-moving Events with Continuously Updated Outage and System Data.

Maintain visibility into current, planned, and historical transmission and generation outages across ISOs. Integrate outage data directly into workflows, models, and alerts to assess impacts faster and respond confidently as conditions change.

Plan for Constraints and Congestion Risk

Anticipate Market Impacts with Deeper Insight into Constraints and Grid Behavior.

Evaluate binding constraints in real time, day ahead, and historically, paired with pricing and system fundamentals. Analyze shift factors, congestion drivers, and historical outcomes to support planning, forecasting, and risk management decisions.

Evaluate Pricing, Performance, and Risk over Time

Leverage Deep Historical Pricing to Support Long-term Analysis and Strategy.

Access nodal price history with consistent vintaging of time-series data, forecasts, and revisions to backtest strategies, compare performance across locations, and assess congestion exposure. DataSignals enables portfolio analysis and risk evaluation using high-quality data built to scale as analytical needs grow.

What Clients Are Saying

Frequently Asked Questions about DataSignals

Is DataSignals right for my organization, or is it only for large teams with advanced data infrastructure?

DataSignals is ideal for organizations that rely on accurate, timely nodal power market data to make operational, commercial, or strategic decisions, regardless of whether you are just beginning to automate workflows or running advanced analytics at scale. It's commonly used by traders, analysts, data engineers, and technology teams who need reliable market data without taking on the cost and risk of building and maintaining their own data collection systems.

Teams that outgrow spreadsheets or manual ISO downloads often start with DataSignals to reduce errors, improve consistency, and create a single source of truth for market data. As needs evolve, the same data foundation supports more advanced use cases such as forecasting, backtesting, risk analysis, automation, and AI or machine learning, without requiring a change in vendor or data model.

How do I know I can rely on DataSignals?

We take data quality and observability seriously. Our expert teams proactively manage changes, data revisions, and infrastructure so you don’t have to.

What Snowflake features does DataSignals Cloud offer?

Snowflake is a cloud-native data platform that enables virtually unlimited scaling for analytics, data science, and AI workloads. It supports large-scale SQL analytics, Python and other language-based analysis, machine learning workflows, and integration with modern BI, AI, and data science tools. With elastic compute, separation of storage and compute, secure data sharing, and native support for advanced analytics and AI use cases, Snowflake allows teams to analyze massive datasets, run complex models, and collaborate across the organization without managing infrastructure. Learn more about our award-winning partnership with Snowflake.

Which DataSignals solution is right for me?

DataSignals API supports organizations building automated workflows, generating reports, or running smaller scale data pulls, including teams beginning with targeted use cases before expanding into larger analytics initiatives.

DataSignals Lake serves organizations with established data pipelines and engineering resources that want full control over ingesting, storing, and analyzing Yes Energy’s large historical dataset within their own environment.

DataSignals Cloud is designed for organizations with significant data demands and mature technology strategies, particularly teams focused on strategic analysis, quantitative modeling, trading, and advanced decision support.

What kind of customers get the most value from DataSignals?

DataSignals is designed for organizations that are serious about turning complex power market data into fast, actionable insights. Organizations that get the most value from DataSignals typically have demand for scalable, reliable data infrastructure; a focus on speed, accuracy, and competitive advantage; and high data literacy and technical maturity. Traders, data engineers, data scientists, analysts, IT leaders, and product and technology managers are all common DataSignals users.

What if I don't use Snowflake?

No problem—with flexible delivery options designed for different technology stacks and data strategies, DataSignals will meet you where you are. While DataSignals Cloud is delivered through Snowflake for instant, scalable access to query-ready data, Yes Energy offers flexible alternatives if you don’t currently use Snowflake. You can use DataSignals Lake to easily load data into your preferred database, warehouse, or lake—whether that's on-premise or in cloud platforms like Databricks or Redshift. DataSignals API offers automated, real-time, low-latency access to Yes Energy’s market data via REST API. Or if you’re interested in exploring Snowflake for scaling your analytics, forecasting, or AI/ML efforts, we can guide you through every step—from trial setup to onboarding and best practices—or help you stand up a lightweight environment so you can start working in Snowflake quickly.

How often do you update the data?

Real-time feeds update continuously. In most cases, updates are available within seconds to minutes of market release. DataSignals Lake receives data writes every 30 minutes because it's designed as a repository of Yes Energy historical data.

Can I build AI/ML models directly on DataSignals?

Yes, DataSignals makes it easy to build, train, and deploy AI/ML models directly on the data, whether you’re working with DataSignals Cloud in Snowflake or integrating DataSignals API or DataSignals Lake with your existing data science stack.

How do you handle security and compliance?

We leverage enterprise-grade data protection throughout our delivery platforms. In particular, DataSignals Cloud delivers secure, governed access to critical power market data through Snowflake’s zero-copy, always-encrypted architecture, with fine-grained controls and built-in auditability—so your teams can move fast without compromising compliance.

How can I download a sample data set to explore it for myself?

You can see a sample data set on Snowflake.

Analytics-ready Power Market Data