Forintia's artificial intelligence continuously analyzes market data and reduces the risk of bad timing with automatic, scheduled purchases. Decisions are guided by fixed rules, not momentary mood.
In the figure: analysis of real-time exchange rate and volume data, on which the entry point signals are based.
The amount and speed of data in the crypto market exceeds what an analyst could continuously track without error.
Forintia takes over this burden: it constantly monitors market data and only recommends or initiates an operation when preset conditions are met. All proposed steps are traceable — we record what data and what threshold value they were based on.
This does not mean that the system predicts the market. The goal is to make decision-making structured and consistent, regardless of how volatile the market is at the moment.
The system combines two main mechanisms: continuous assessment of market conditions and a scheduled but dynamically fine-tuned buying method.
The model combines technical indicators — moving averages, volatility bands, momentum — and only indicates a buying opportunity when several independent signals point in the same direction.
The system adjusts the amount and timing of the fixed periodical purchase to market volatility, so not all purchases have equal weight in the long-term average.
For each asset class, we set a maximum position size and a loss threshold, which the system cannot exceed with automatic actions.
The status of the portfolio is regularly re-evaluated by the system, and it is indicated if the market conditions change significantly compared to the set parameters.
DCA logic is not static: the system fine-tunes the timing of each purchase based on variance and trading volume, so the long-term average price reflects market cycles better than a fixed calendar schedule.
For transparency, there is a fixed, traceable logic behind each proposed action.
The system collects exchange rate, volume and on-chain data from several trading platforms simultaneously.
The collected data is processed by technical and statistical models, looking for patterns and deviations.
When the conditions are met, the system creates an entry or buy signal with a fixed rationale.
The system executes the approved operation and then continuously monitors the further status of the position.
The methodology remains the same, the parameters are adapted to the user's risk profile.
A company allocates a small part of its liquidity fund to crypto assets. Forintia builds the position with scheduled, limited-sized purchases and reports the rationale for each move to financial management.
A private investor invests his monthly savings according to predetermined rules, without having to monitor exchange rates daily or intervene manually.
In both cases, the decision-maker spends less time manually monitoring the market, and buying times consistently follow a fixed set of rules — not the current market sentiment.
Answers to the most common questions about technical operation and security.
Not. The system sends trading instructions to the user's proprietary trading account; the devices remain under the control of the user at all times.
From APIs of trading platforms, on-chain data providers, macroeconomic indicators and historical exchange rate data. We log all sources.
The system automatically stops further purchases above a predetermined volatility threshold until market conditions stabilize in the usual range.
Yes, the schedule and parameters can be changed or paused at any time in the account settings.
Data connections are encrypted and account access is protected with two-factor authentication. We do not share user data with third parties for marketing purposes.
Register for an account or request a demo and see how the system identifies entry points tailored to your risk profile.
Get started now