VeloTrade analyzes data feeds in real time to automate your investments with an intelligent Dollar-Cost Averaging strategy, designed for income that varies from month to month.
For those who generate income through the on-demand economy — couriers, ride-hailing drivers, freelance consultants — time is the most precious resource. Monitoring the markets on a daily basis, interpreting signals and deciding the right time to invest requires attention that few can afford between two races or two missions.
Manually analyzing the markets remains time-consuming and exposes you to decisions made under the influence of emotion, often at the wrong time. VeloTrade was designed to remove this mental load, without removing control.
Three pillars allow VeloTrade to transform raw market data into progressive and controlled investment decisions.
Identifying optimal entry points via our machine learning models, trained on large volumes of historical and real-time data.
Execution of Dollar-Cost Averaging strategies without constant manual intervention, to invest regularly without having to monitor the markets every day.
Algorithms designed to reduce the impact of volatility on your capital, by smoothing buy points rather than betting on a single market moment.
No black box: this is how your data is processed, from raw signal to final recommendation.
Collection of continuously updated financial data and global macroeconomic indicators.
AI processing to filter out market noise and isolate signals relevant to your investment horizon.
Personalized recommendations according to your risk profile and your additional income objectives.
Each independent profile has a different relationship to savings. Here's how the platform adapts.
Long-term strategy with risk smoothing, designed to build capital gradually over several years.
Optimization of surplus variable monthly income, to transform good months into structured savings.
Intelligent allocation outside traditional banking channels, in addition to your traditional savings.
Our model analyzes moving averages and transaction volumes to avoid market tops and spread purchases over time.
Yes, the strength of automated Dollar-Cost Averaging is its accessibility: it allows you to build a position gradually, without requiring significant initial capital.