Reclaim Alliance Co. processes real-time market data and converts it into concrete recommendations. The goal is to reduce risk and make decision-making more transparent for Czech investors and companies that cannot afford to rely on estimates.
Algorithms are not closed in a black box. Every step of the decision-making process is recorded and available for verification, which meets the expectations of investors who want to understand the basis of recommendations.
The system continuously collects market, on-chain and macroeconomic data from verified sources and checks their consistency.
Transparent algorithms evaluate patterns and risk scenarios. The calculation procedure is logged, not hidden in an opaque model.
The output is a concrete recommendation with justification. The community and the internal team then verify whether the prediction came true.
The model evaluates data regardless of market sentiment or news that prompts impulsive decisions. This reduces the likelihood of decisions based on panic or excessive optimism.
New market signals are processed immediately, not with a daily delay. The investor thus receives the current context at the moment when it is relevant.
The same methodology works for individual portfolios as well as for corporate decision-making on a broader scale, without the need to change the procedure from the ground up.
Every decision of the algorithm is written in an immutable record, which is also accessible by the user community. It is not a summary after the fact, but an ongoing log that can be traced back and compared with real market developments.
This approach was created primarily for cautious investors who want to see what happened before making a decision, and not just the resulting number.
View public journal →Suitable for investors who track crypto or fintech assets and want to have analytical support instead of guesswork based on social media sentiment.
Designed for companies that need data for strategic decisions — from capital allocation to the evaluation of market risk in the longer term.
Data is kept separate from personally identifiable information, and only authenticated users have access to analytical records. The platform does not share data with third parties for marketing purposes.
Each algorithm decision is recorded in a public performance log. Users can back-check it with the real market development and point out the discrepancy if they find it.
The platform is designed to be accessible both to individual investors with a smaller portfolio and to companies with more extensive needs. The extent of involvement is determined by the user himself according to his risk profile.
No hidden fees — terms are up front and available for review.