Decision support platform
Fleuvelise automates your dollar-cost averaging strategies by identifying, using a predictive model, statistically favorable entry points. The execution remains disciplined, the pace remains yours.
Methodology
The algorithm does not attempt to anticipate the direction of the market. It continuously evaluates the probability that a given moment constitutes a volatility trough favorable to the execution of a DCA tranche.
Order book, volume and implied volatility data are continuously ingested and normalized to enable seamless comparison between assets and maturities.
A set of predictive models evaluates the probability of a temporary decline, according to a stochastic optimization approach calibrated on the recent history of the asset tracked.
Each entry signal is corrected by an overall risk factor, incorporating the correlation with adjacent assets and the cumulative exposure already incurred.
When the entry score crosses the threshold defined by your allocation profile, the order is transmitted to your execution platform, with no manual intervention required.
Structural comparison
Both approaches invest the same total amount over the same period. Only the temporal distribution of the slices differs.
Equal allocation at a fixed interval, regardless of current market conditions.
The slices are redistributed to the windows where the entry score is most favorable, without exceeding the total planned exposure.
The difference does not lie in the amount invested, identical in both cases, but in its distribution. By concentrating a larger share of capital on low volatility windows, Fleuvelise aims to reduce the average cost per unit acquired, at constant total exposure. No additional tranche is committed to achieve this result.
Infrastructure
Each component of the decision engine is modular and can be audited, replaced or adjusted independently of the others.
Low-latency processing of market feeds, with continuous recalculation of entry scores for each tracked asset.
Correlation and cumulative exposure factors are reassessed each cycle to contain systemic risk.
Transmission of orders according to configurable thresholds, without intermediate manual validation or significant processing time.
Read and execute integration with existing platforms, without transfer of custody of assets.
Approach
Fleuvelise is aimed at users who already know the mechanics of DCA and seek to refine their execution, not to delegate it blindly. The decision engine exposes its weighting variables and keeps track of each signal from its trigger to its execution.
The goal is not to replace your judgment, but to reduce the reaction time needed to capture input windows that the human eye has difficulty processing over short cycles.
Transparency
The following subjects concentrate the majority of questions raised by analysts and managers who evaluate Fleuvelise.
Incoming and outgoing flows are encrypted in transit. The API keys provided by your execution platforms are stored encrypted and are never accessed outside of calls strictly necessary for order execution.
Each input score results from an explicit combination of factors — short-term volatility, book depth, inter-asset correlation — whose relative weights can be consulted for each signal generated. The model does not operate like an opaque black box: its decisions remain traceable.
No. The integration is non-custodial. Fleuvelise transmits execution instructions to your platform via API, but does not hold, move or store your funds or positions at any time.
The engine includes automatic deactivation thresholds in the event of conditions deemed outside the usual statistical scope, in order to avoid execution on degraded or inconsistent market data.
Restricted access
Fleuvelise is offered to a limited number of professional users in order to preserve the quality of technical support during integration.
Request accessRequests are studied individually. No self-service registration is offered at this time.