Data intelligence for investment
More than 500 trading pairs analyzed in real time with predictive models
Crónica Ibérica simultaneously processes cryptoassets, currencies and commodities using deep learning algorithms, with the aim of identifying correlations and opportunities that manual analysis hardly detects.
No need for a credit card. Access to the analysis panel in a few minutes.
The analytical engine
Predictive models applied to risk reduction
Each component of the system was designed to replace intuition with verifiable evidence, without giving up the speed required by a continuously moving market.
Models trained with historical and real-time data
The algorithms analyze time series of price, volume and volatility of each of the more than 500 monitored pairs. The system identifies patterns with statistical relevance and contrasts them with previous market episodes before issuing any recommendation.
Asset correlation visible before trading
When two or more pairs show a high correlation, the panel flags this explicitly to prevent a portfolio from being inadvertently exposed to the same risk factor. The metric is recalculated in each analysis cycle.
Each recommendation includes its own margin of error
The panel shows the confidence interval of the model and the time horizon considered for each signal, so that the final decision is based on a verifiable figure and not on a market sensation.
Scope of analysis
More than 500 peers monitored simultaneously
The Crónica Ibérica engine is not limited to one market segment. It continuously monitors three asset categories to detect opportunities that are only visible when cross-referencing data between different markets.
Cryptoassets
Bitcoin, Ethereum and a selection of mid-cap assets, with order book data updated in real time.
Currencies
Major forex market crosses, including less liquid pairs that nevertheless meet the minimum criteria for the suggested strategies.
Raw materials
Energy, precious and industrial metals and agricultural products, with particular attention to their relationship with associated currencies.
How to build a recommendation
From raw data to a justified signal
Each recommendation goes through three different phases before reaching the user's panel. The goal is for the end result to be explained, not just shown.
Data ingestion
Market feeds are received in real time from multiple sources. Before any analysis, the system applies noise filtering that discards insignificant price variations and duplicate or incomplete records.
Processing and modeling
The cleaned data feeds deep learning models, which calculate movement probabilities, correlation levels and expected volatility. Each model undergoes continuous historical validation against known market periods.
Actionable recommendation
The result is translated into a signal with a confidence level, time horizon and justification based on the indicators that originated it. The final decision on the wallet remains with the user.
Who we are
An analytical approach, designed for professional decisions
Crónica Ibérica was created to serve professionals who seek to diversify their income based on data and not market impressions. The team combines financial data analytics with machine learning models, continually reviewed against historical results.
The dashboard was designed to show the reasoning behind each signal: what data was considered, what level of confidence supports the recommendation, and what time horizon is relevant to interpreting it.
Practical application
Three common ways to use analysis
The following scenarios reflect common usage patterns among professionals seeking to optimize their portfolio without spending several hours a day manually monitoring the market.
The investor who diversifies income
A professional with a fixed income allocates part of his monthly savings to different assets. Instead of manually reviewing dozens of charts, consult the dashboard to identify the pairs with the best ratio of expected return to historical risk, and adjust the portfolio on a weekly basis.
The strategic planner
Those who manage multiple sources of income use the portfolio optimization feature to compare scenarios before moving capital between asset categories. The system shows how each change would affect the overall risk exposure before executing it.
The personal risk manager
Before opening or closing a position, the correlation between the chosen asset and the rest of the portfolio is reviewed. This check reduces the probability that the same market event affects several positions at the same time.
Technical transparency
Safety and Operation FAQs
Direct answers to the most common questions about how the platform operates and what controls the user has over their own data.
How does Crónica Ibérica protect account data?
Credentials are stored encrypted and access to wallet data is managed using read-only API keys when connecting to an external exchange. Crónica Ibérica does not execute automatic operations without explicit user authorization.
How often is the analysis updated?
Price feeds are received in real time and the engine recalculates correlation and volatility metrics in cycles of a few seconds. The exact time varies depending on the liquidity and data availability of each pair.
Does it integrate with the exchanges or brokers I already use?
The platform supports connection via API with the main cryptoasset exchanges and currency and commodity data providers. If a particular source is not available, the dashboard continues to display analysis based on aggregated market data.
Data intelligence, at your service
Turn tracking of over 500 trading pairs into informed decisions, supported by predictive models and continuous historical validation.