Dauphin Valorange — predictive analytics dashboard for capital optimization
Predictive analysis & capital

Automate your investment entries on calculated, not guessed, points

Dauphin Valorange ingests streaming market data, calculates an entry score for each tracked asset, and executes a programmed cost averaging (DCA) at the statistically favorable moment. Designed for mobile professionals who manage their capital without spending their days on it.

Dashboard overview: real-time market feeds, entry score per asset, DCA execution history and risk indicators viewable from any time zone.

The observation

The volume of data exceeds human analysis capacity

Markets continuously generate flows of prices, volumes and macroeconomic signals across dozens of markets and assets. An investor who works full time can neither monitor these flows constantly nor reevaluate their entry points several times a day. Result: purchases are often made at fixed intervals, without taking into account the current market context.

This manual approach, called classic "purchase averaging", smoothes risk over time but ignores the short-term opportunities revealed by the data.

Dauphin Valorange's response

A model that triggers the purchase at the right time, not on the right day of the calendar

Dauphin Valorange replaces the fixed schedule with a predictive model. Each potential entry is evaluated based on several market variables and then compared to an execution threshold. The order is placed automatically when the conditions are met, without manual intervention and without human reaction time.

Ingested flow
Entrance score
Risk monitored
The three pillars

What the analysis engine actually does

Three distinct functions, executed continuously, that make up the capital optimization logic of Dauphin Valorange.

01 — Automated DCA

Scheduled, data-triggered dollar-cost averaging

Rather than buying on a fixed date, the system allocates capital to inflows calculated based on observed volatility and short-term trend. The frequency and amount of each execution adjusts to your risk settings, defined once during account setup.

Smart DCA
  • Setting the amount and maximum frequency
  • Trigger conditioned on input score
  • Complete execution history viewable at any time
02 — Predictive analysis

An entry score calculated on several market variables

The model cross-references price, volume and trend indicator data to produce a continuously updated input score. This score serves as an execution condition for the DCA module: no operation is launched until the defined conditions are met.

Smart Entry
  • Recalculation of the score at regular intervals
  • Adjustable weighting according to risk profile
  • Viewable decision log for each execution
03 — Risk management

Continuous monitoring of exposure and volatility thresholds

A separate module monitors portfolio volatility and concentration in parallel with the input module. When a defined risk threshold is reached, automatic executions are suspended until returning within the set parameters.

Risk Mitigation
  • Customizable volatility thresholds per asset
  • Automatic suspension of over-threshold executions
  • Alerts viewable from the dashboard
Methodology

Three steps, from raw data to decision

Each execution follows the same logical sequence, which can be viewed in full from the account decision log.

1

Data ingestion

Market feeds (prices, volumes, trend indicators) are collected continuously from multiple sources and normalized before processing.

2

Pattern recognition

The model compares current setups to already identified market structures to produce an entry score and confidence level.

3

Execution strategy

If the score exceeds the defined threshold and the risk constraints are respected, the DCA order is transmitted automatically and logged.

Use cases

For whom this type of automation makes sense

Dauphin Valorange is aimed at professionals who manage capital alongside a full-time activity, often in geographic mobility.

Portfolio management

Centralize the tracking of multiple assets and let the DCA module distribute entries according to defined rules, without daily manual arbitration.

Protection against volatility

Risk thresholds automatically suspend executions when market conditions move out of the tolerated range, without constant monitoring on your part.

Building long-term assets

Regular and conditioned executions are part of a logic of position building over several months, adapted to recurring income from teleworking.

Frequently asked questions

Security, automation and operation

Answers to the most asked questions before creating an account.

How are my data and assets secured?

Login credentials are encrypted and no direct access to funds is required for the analysis module to operate. Execution parameters and risk thresholds remain under your control and can be modified at any time from the account.

What logic is purchasing automation based on?

Each run depends on a continuously recalculated input score and a user-defined risk threshold. No order is transmitted until these two conditions are simultaneously met. The complete history of decisions can be viewed in the account journal.

How is pricing structured?

Subscription plans are presented in detail when creating an account, depending on the volume of capital monitored and the number of assets monitored. No minimum time commitment is required to get started.

Account access

Configure your thresholds and let the model run the inputs

Creating an account provides access to the dashboard, configuration of risk thresholds and decision history. No credit card is required to start the configuration phase.

Start optimization

No credit card required to create an account and configure your first thresholds.