Mora Haledor processes market data in real time, tests strategies against historical scenarios and delivers concrete recommendations that you can assess anywhere, without a fixed office or local infrastructure.
The dashboard shows the historical backtest for each strategy, current risk indicators and the underlying data sources, so that each recommendation remains traceable.
Those who manage a portfolio from different time zones often miss the moment when market conditions change. Manual screening takes time that is not always available along the way, and signals from social media or news feeds are difficult to verify.
Price data, macroeconomic figures and news arrive through separate channels, without mutual coherence.
Without historical testing, it is difficult to determine whether a signal is due to chance or to a repeatable pattern.
Changing time zones and varying connectivity make continuous monitoring impractical.
Under time pressure and without structural testing, positions are more often adjusted based on gut feeling than on data.
Mora Haledor combines statistical models with historical and current market data. Each model goes through a fixed validation cycle before it can generate signals for a live dashboard.
Models are trained on multi-year data sets and revised as new market data becomes available, so that assumptions remain current.
Each strategy is backdated to a minimum of five years of price data, including periods of high volatility, before it is released.
Market data is continuously processed, so deviations from the expected pattern quickly become visible in the dashboard.
Each recommendation is given a risk indicator based on volatility, liquidity and correlation with the rest of the portfolio.
Signals and reports are compiled automatically, so that remote assessment remains possible without daily monitoring.
For each signal, the platform shows which data sources and parameters have been used, so that decisions remain traceable.
Models are assessed not only on historical returns, but also on their behavior in out-of-sample periods that were not included in the training data. Only strategies that perform consistently in both phases will be included in the active dashboard.
The path from market data to a concrete signal goes through a fixed series of steps, so that every recommendation can be checked in the same way.
Price, volume and macro data are continuously loaded from recognized market data suppliers.
Statistical models are trained on historical series and then tested on periods outside the training set.
Approved models convert current data into a concrete signal with a risk indicator and substantiation.
The user assesses the signal in the dashboard and decides whether and how the position is adjusted.
Mora Haledor was developed for investors who manage their portfolio remotely and need a fixed, verifiable method instead of separate signals. The platform emphasizes traceability: every recommendation can be traced back to a tested model and a concrete data source.
The development focuses on limiting manual work, without the user losing insight into the underlying logic of a recommendation.
Two situations in which the platform contributes specifically to decision-making, without the need for continuous presence.
When the risk score of a position increases due to increasing volatility or decreasing liquidity, the user receives a specified signal in the dashboard. The substantiation shows which factor has changed, so that a decision does not have to be based on gut feeling.
When current market data matches a pattern that showed a consistent result in previous backtests, the platform marks the anomaly as an opportunity. The user then assesses for himself, at a time that suits his own agenda, whether follow-up is appropriate.
A number of questions that are often asked before users switch to a data-driven working method.
Market data is processed continuously. The exact refresh rate varies per data source and is listed per signal in the dashboard.
The dashboard is web-based and works anytime there is a connection. Signals remain available as soon as the user logs in again, even after a period without access.
A strategy is applied to historical market data from multiple periods, including periods of increased volatility. Results are then compared to an out-of-sample period not used for training.
The platform focuses on liquid, regulated markets for which sufficient historical data is available to perform a reliable backtest.
Access to the dashboard is via a secure connection and personal login details. Portfolio data is only used to calculate your own user's risk scores.
If your question is not listed, please consult the detailed explanation de FAQ-pagina or contact us via the support information de pagina over ons.
During a demo you will see how Mora Haledor would have assessed an existing portfolio based on the back-test results of recent years, and what signals would currently follow from this.
