Soléfivok IA continuously analyzes digital asset markets and allows you to follow, through copy-trading, strategies optimized by artificial intelligence models. You don't need years of experience to understand what you're tracking, or why you're tracking it.
Documented methodology and backtesting results available for consultation before any decision.
Problem and approach
Digital asset markets produce a volume of information that is difficult to process alone: contradictory news, sudden volatility, speeches sometimes far removed from the facts. For a student new to this field, this noise is often the biggest barrier to entry, more so than lack of capital.
Methodology
Three successive steps structure each recommendation distributed on the platform. None of them is based on a certain prediction; each aims to reduce the uncertainty of a decision, not eliminate it.
Historical prices, trading volumes, news feeds and on-chain indicators are continuously gathered from multiple sources to form a coherent basis for analysis.
Probabilistic models evaluate price dispersion and the general market climate, in order to distinguish a structural movement from a passing episode of volatility.
The strategies identified as relevant are transmitted with their associated risk parameters, for risk optimization adapted to your exposure.
Framed copy-trading
The copy trading offered by Soléfivok IA does not consist of blindly reproducing a position. Each strategy comes with an explanation of how it triggers, so you understand the reasoning, not just the outcome.
You can follow a strategy with limited capital, without needing prior technical expertise to interpret market signals.
Each recommendation is accompanied by exposure parameters defined in advance, designed to limit the impact of an unfavorable market movement on student capital.
The reasons behind a strategy — identified trend, level of volatility, sentiment context — are made available, so you grow in your understanding of the market over time.
Transparency
We do not publish staged testimonies. We make available how the strategies are evaluated, so that you can judge their relevance for yourself before following them.
Each strategy is tested on historical market data before its release, in order to assess its behavior under different volatility conditions.
Risk parameters and the execution status of active strategies can be viewed at any time, without unnecessary dashboards.
The reasoning of the analysis engine, its limits and its hypotheses are recorded in technical documentation accessible before any subscription.
Consult the technical documentationThe first step is to view the backtesting methodology and results, without capital commitment. You then decide, with the elements in hand.