Lune Rendo continuously processes market data to produce quantified, up-to-date recommendations adapted to the size of your portfolio.
No brokerage fees are applied to transactions made via the platform. Access to predictive models and the risk management table is included upon account opening.
Building a clear view of your financial exposure usually requires cross-referencing several sources: brokerage statements, market indices, volatility histories. This work is time-consuming and rarely updated in real time, delaying the detection of imbalances in a portfolio.
On modest-sized portfolios, transaction and management fees weigh proportionally more heavily. A withdrawal of a few tenths of a percent per transaction, repeated over several years, significantly reduces the capital available for diversification.
Lune Rendo was designed to address these two problems separately: automate data analysis to shorten the decision time, and remove transaction fees so that the performance generated remains entirely with the investor.
Lune Rendo relies on statistical models trained on historical and daily updated market data series. Each recommendation displayed is accompanied by the reasoning behind it: indicators taken into account, level of confidence, horizon considered.
This approach is aimed at professionals who want to understand the logic behind a suggestion before implementing it, rather than following an opaque signal. The goal is to make the data usable, not to replace it with an automated shortcut.
Predictive models, risk management engine and real-time data ingestion work together to transform a stream of raw information into informed decisions.
The algorithms analyze price trends, traded volumes and correlations between asset classes to estimate likely trajectories over different horizons. Projections are presented with their margin of uncertainty, rather than as certainties.
The model recalculates each scenario as new data arrives, without manual intervention.
Each position is evaluated according to its own volatility and its contribution to the overall risk of the portfolio. The engine flags excessive concentrations in a sector or currency, and suggests numerical adjustments to correct them.
The risk score is recalculated with each significant market movement.
Market feeds are continuously ingested and compared to existing positions. Any notable variation triggers an update of the displayed indicators, without latency linked to batch processing.
The indicators displayed reflect the state of the market at the time of the consultation.
No transaction fees are charged on orders placed via Lune Rendo, regardless of frequency or amount invested. This structural choice aims to ensure that the performance generated remains entirely available for reinvestment.
any gains made remain with the investor: the platform does not retain any commission on the operations executed.
Understanding our modelThe processing takes place in three distinct steps, each verifiable and documented in the interface.
Prices, volumes and macroeconomic indicators are retrieved from recognized market sources, then normalized to allow consistent comparisons between assets of different types.
A network trained on long series identifies relevant correlations between collected variables and observed price movements, weighting the signals according to their historical reliability.
The results are translated into concrete actions: suggested rebalancing, alert threshold on a position, or diversification proposal, each accompanied by its quantified justification.
The following profiles illustrate how Lune Rendo indicators guide different decisions depending on the investor's situation.
The initial portfolio is mainly exposed to technology stocks. The risk management engine signals this concentration and proposes a gradual allocation towards less correlated assets, over several months.
The final decision remains manual: the platform provides the reasoning, the investor adjusts the pace of execution according to his risk tolerance.
The portfolio covers several asset classes but has not been revised for several quarters. Real-time analysis highlights a gap between the target allocation and the actual allocation, caused by price variations.
Targeted rebalancing is offered, limited to positions whose deviation exceeds the threshold defined by the user.
The following answers cover the points most often raised by new users.
The models are based on historical data and systematically display an uncertainty range. They constitute a decision-making aid and not a guarantee of future performance: financial markets remain by nature unpredictable in the short term.
Account data is encrypted at rest and in transit. Access to the interface requires two-factor authentication, and no personal data is shared with third parties for commercial purposes.
The platform operates on a subscription model separate from order execution. Transaction fees usually charged by intermediaries are therefore not passed on to the investor, which preserves all of the gains made.
Account creation takes just a few minutes and provides access to predictive models, the risk management engine and real-time analysis, with no long-term commitment.
Create a free accountLune Rendo offers a decision support tool. Past performance is no guarantee of future results and any investment carries a risk of capital loss.