Dorlévane aggregates order books from Binance, Coinbase and Kraken in real time into a single feed, processed by predictive models designed to identify patterns invisible to the human eye. Every recommendation is based on verifiable data, not hunches.
Access the TerminalMonitoring several platforms in parallel requires switching from one tab to another, at the cost of a reaction time which is measured in seconds. Dorlévane normalizes these heterogeneous flows in a low-latency interface, so that price gaps, liquidity anomalies and correlated movements between exchanges appear in a single coherent view. The algorithm continuously compares order books between exchanges to flag divergences that a manual, sequential reading cannot detect in time.
No suggestion is produced without traceability. The process is broken down into three steps, each auditable, so you can assess the reliability of a signal before taking action.
Raw market feeds — transactions, order books, volumes — are collected simultaneously from Binance, Coinbase and Kraken, then time-stamped and synchronized to correct for latency differences between platforms.
The models identify recurring patterns in market structure — accumulation, absorption, inter-exchange divergence — by comparing each situation to an extensive history of similar cases.
Each signal is accompanied by a Risk Score and a Confidence Index, calculated from recent volatility, order book depth and consistency of the pattern detected between the platforms tracked.
Dorlévane is about more than just price. The platform returns microstructure and sentiment metrics usually reserved for institutional terminals.
Monitoring the buyer/seller imbalance in real time, with identification of absorption zones likely to precede a directional movement.
Continuous measurement of correlation coefficients between pairs, to detect temporary decorrelations usable in statistical arbitrage.
Short-term projection of implied volatility, calculated from historical price amplitudes and volume traded on each exchange monitored.
Two frequent situations illustrate the concrete contribution of a consolidated view, beyond the simple centralization of data.
When abnormal volume appears simultaneously on two platforms before a price movement, Dorlévane reports it immediately. The point is not to predict the unpredictable, but to reduce the time between the appearance of a pattern and its detection, by eliminating the noise of isolated variations specific to a single order book.
An order book can appear deep on the surface but quickly empty out during an execution. By cross-referencing the actual liquidity available across the three platforms, the tool indicates where a significant order size is likely to produce significant price slippage, allowing the size or split of the execution to be adjusted in advance.
Access to the Dorlévane terminal is organized according to the volume of data processed and the number of exchanges monitored simultaneously. Each level provides access to all of the metrics presented above, with query limits adapted to your frequency of use.
Exchange monitoring, basic indicators and divergence alerts.
The three exchanges monitored in parallel, complete Risk Score and detailed order flow.
Priority access to the flow, data export and dedicated support for configuration.