Reustep combines real-time analysis with predictive models validated on historical data so you can make investment decisions from anywhere without having to watch the market around the clock.
Start analyzingThe platform processes market data continuously and evaluates it against models back-tested on several years of historical records.
Reustep was created in response to the need for verifiable investment and business decisions for people who don't have time to sit at charts all day. Instead of predictions without context, you get recommendations based on specific methodology and historical data.
The platform is designed for remotely working investors and B2B teams who need to make decisions quickly, but with a clear data base. All outputs can be back-checked and each recommendation is accompanied by a confidence level of the model.
The algorithm does not look for sensational signals, but for repeating patterns in the data that have been associated with a measurable result in the past. The output is a recommendation with a given degree of probability, not a guarantee.
Each strategic logic used by Reustep has been backtested on multi-year historical data sets before being deployed in real-world analysis. The result is predictive accuracy that can be backed up with numbers, not just a statement.
The models are tested on data from several market cycles, including periods of growth, decline and stagnation, not only on favorable sections.
Data sources are documented and regularly checked to avoid distortion of results by erroneous or incomplete records.
The same input data set must lead to the same model output in a repeated test, which we verify before each update of the algorithm.
The way Reustep is used varies depending on whether it is a corporate decision or an individual investment portfolio. The principle remains the same: the algorithm works continuously, even if you don't.
A firm with a multi-national team uses Reustep to evaluate investment opportunities without the need for a centralized analytical department. The model aggregates input from multiple markets and generates recommendations that management reviews in regular online meetings.
Thus, the decision-making process does not stop when the time shifts between locations, because the analysis runs continuously and the outputs are available when logging in.
An investor working from different time zones cannot follow the market in real time regardless of local time. Reustep takes over position monitoring and will only alert you to situations that meet pre-defined risk and reward thresholds.
The result is fewer decisions made under pressure and more decisions based on a time-tested model rather than the current mood of the market.
The following questions address the technical aspects that are most often of interest to clients before deploying the platform.
The platform combines market data, macroeconomic indicators and historical transaction records from verified data providers. Each resource undergoes a consistency check before being included in the model.
Processing occurs at near-real-time intervals, with the exact latency depending on market type and data source availability. For most liquid markets, this is on the order of seconds to low minutes.
Each recommendation contains a risk estimate derived from the volatility of the associated historical scenarios. Risk management is not a separate module, but an integral part of each model output.
This is the degree to which the model's predictions in the past matched the actual result on the tested data. This value is regularly recalculated with each algorithm update and is not static.
Yes, the backtesting methodology documentation is available upon request and includes a description of the tested periods, datasets, and model limitations.
Setting up the first analysis profile in Reustep takes about a few minutes and requires no technical integration on the client side.