Market regime
A classification of observed market conditions, with documented labels and data-quality status.
Market context.
Ready for your next build.
Regimes, volatility, mean reversion and forecast trends. A planned analytics API that brings specialised research and familiar indicators into one consistent response.
In development · seeking pilot partnersInitial focus: SUI, BTC and ETH
See the shape of the dataUseful outputs.
Useful outputs.
Explicit limitations.
Each observation is designed to identify its asset, timestamp, measurement window and version. An unsuitable OU fit returns a validity flag and unavailable estimates.
Synthetic examples only. Values are invented to explain the proposed schema; this is not a live endpoint or a performance demonstration.
Target cadence: five-minute observations. Coverage, historical depth and final field definitions will be confirmed during pilot validation.
Planned coverageFrom familiar indicators
From familiar indicators
to a fuller market view.
Nine indicator families. Consistent timing, documented definitions and a clear distinction between observations and predictions.
9 indicator families shown
Realised volatility
Recent price variability with explicit units, candle frequency and measurement window.
OU mean reversion
Estimated equilibrium, deviation and half-life, accompanied by a heuristic fit-validity flag.
Forecast trend
Expected direction and percentage movement for a stated horizon, with issuance time and model version.
RSI
A familiar momentum measure, calculated over a specified candle timeframe and lookback.
MACD
MACD line, signal line and histogram, with the calculation parameters made explicit.
Moving averages
Selected exponential moving averages for studying short- and longer-term price behaviour.
Bollinger Bands
Upper and lower bands, bandwidth and price position within a defined calculation window.
Average true range
Absolute and percentage range estimates derived from the selected OHLC candle series.
A focused start
Expand with evidence.
Additional markets need reliable inputs and validation. Coverage will grow as those checks are completed.
Initial pilot focus
SUI · BTC · ETH
Validate inputs, indicator behaviour and delivery for the first crypto markets.
Planned expansion
More crypto markets
Assess our wider Bitstamp history for XRP, DOGE, HBAR, LTC, UNI and XLM.
Research direction
Traditional markets
Explore equities, gold and FX with suitable data licensing and market-specific calibration.
A few useful distinctions.
Can I subscribe today?
The expanded API is in development. Contact us to discuss a pilot, your required assets and historical-data needs. Subscription plans and access dates have not been finalised.
Are these buy or sell instructions?
No. The API is designed to provide market observations and model estimates for research and application development. Customers determine how to use them; no outcome is guaranteed.
Does an OU fit predict a rebound with certainty?
No. The fit-validity flag is a heuristic statistical screen, not a calibrated rebound probability. Estimated equilibrium and half-life can change as new observations arrive.
Do I need to use RangeKeeper?
No. The API is a separate product intended for your own tools. It does not expose RangeKeeper’s portfolio decisions, hedge rules, customer positions or learner weights.
Will you support business and embedded use?
We intend to offer internal-use subscriptions and separately agreed commercial licences for customer-facing applications. Tell us how you plan to use the outputs so we can discuss suitable access.
Help shape the pilot
What does your application need?
Share your assets, timeframes and use case. We’ll discuss whether the planned feed is a fit.