Glassnode Alpha Lab Beta
Find Your Edge.
Turn metrics into actionable signals. Alpha Lab searches Glassnode's data for simple, readable trading rules, then shows you the evidence behind each one.
- 1,000+ metrics
- Walk-forward validation
- Human-readable rules
What It Is
Turn Glassnode Metrics Into Testable Trading Signals in Minutes.
The Problem
On-chain, spot, futures, options, order books. No one else measures the market from this many angles.
But breadth creates its own challenge. Among thousands of metrics, only a handful may matter for a specific investment decision. Finding, testing, and turning them into repeatable rules takes time, code, and quantitative expertise.
The advantage is already in the data. The hard part is finding it and turning it into something actionable.
The Answer
Alpha Lab starts with your question, not the data. Say what you want to identify, pick the metrics to explore, and it searches for the combinations that have historically been most useful.
You get heuristics, not black-box predictions. Rules of one or two conditions, in plain language.
How To Use It
Three Modes, One Engine.
Three ways into the same research engine. Different levels of control, one evaluation framework.
Go from question to answer
Easy mode
From a question to ranked heuristics. Easy Mode abstracts away the optimization and machine-learning workflow.
- Choose an asset, a direction and the metrics to scan
- Results arrive as ranked, readable signal cards
- Refine the metric set and re-run to compare
Inspect every step
Advanced mode
Every decision behind the optimization and machine-learning workflow. More flexibility.
- Pick the transformations: z-score, RSI, moving average, volatility, percentile
- Paint your own target zones directly onto price history
- Compare models, inspect feature influence, test threshold sensitivity
Put autoresearch to work
Agents mode
An MCP server that lets compatible AI agents drive the research loop.
- Same catalogue and optimization engine as the visual interface
- Give an agent an objective and let it run, evaluate and refine
- Hand the strongest findings back to the UI for inspection
How It Holds Up
A Rule You Can Read, and Check.
Historical performance is easy to overstate, so skepticism is built into the workflow. Every rule arrives with the evidence needed to judge it.
An Example Result
Percent Entities in Profit RSI(30) > 51.8andNUPL Volatility(30) ≤ 1.71
Two conditions, in the metrics you already know. Nothing to decode, and nothing hidden behind a model score.
Out of sample · 1,090 days the search never trained on
| The rule | Buy & hold | |
|---|---|---|
| Sharpe ratio | 1.36 | 0.89 |
| Return, annualized | +44% | +36% |
| Max drawdown | −20% | −53% |
| Time in market | 42% | Always |
A Research Process Built on Sound Methodology
Time-aware validation
Validation runs in stages. Walk-forward cross-validation trains models on earlier data and evaluates them on later periods, preserving the chronological structure of the market and testing whether a rule holds across different regimes.
Sensitivity, made visible
If a result only works at one exact threshold or lookback, that is a warning sign. Alpha Lab shows you the neighbourhood, not just the peak, so you can distinguish robust relationships from fragile optimizations.
Independent out-of-sample testing
The most recent 20% of history is held back entirely from the search and used only for independent evaluation. Once a rule is catalogued, live tracking continues on newly arriving data that could not have influenced its selection.
Figures captured from a single live run on 18 August 2026 and shown as an illustration of the evidence Alpha Lab provides. Alpha Lab is a research tool: its outputs are based on historical data and are not investment advice or a guarantee of future performance.
Beyond Discovery
From Discovery to a Living Catalogue.
Not every session needs to start from zero, and a rule that worked is not the same as a rule that still works.
Curated
Catalogue
Strategies already identified and saved by the Glassnode team. Browse by asset, direction and risk profile.
Yours
My Catalogue
Save what matters to your team and build a research universe of your own.
Live
Market Pulse
Which catalogued long and short rules are firing right now, in one compact read.
Over time a saved set becomes more than a list of backtests. Alpha Lab surfaces rules whose recent behaviour has weakened, flags overlapping strategies and shows where your coverage has gaps. The question moves from did this work? to is it still behaving as expected?
Private Beta
Find Your Edge.
Alpha Lab is open to a limited group of clients while we shape what comes next. We are looking for research teams and investors who want to test it against real workflows.
- Access
- Private beta
- Metrics
- 1,000+
- Modes
- Easy · Advanced · Agents
- Built for
- Research teams