Torrent Fondif aggregates your data across multiple marketplaces and applies predictive analysis to reduce risk before every decision. A single dashboard, immediately usable signals.
Consolidated view of flows, risk score by operation, continuously updated recommendations — without unnecessary jargon.
Between multiple platforms, price feeds, order books and macro indicators, the volume of information exceeds what manual analysis can process in time. The result is known: delayed decisions, missed opportunities, poorly assessed risks due to lack of overview.
Torrent Fondif does not replace your judgment: it reduces noise. Multi-source data is ingested, sorted and converted into prioritized recommendations, with a risk score attached to each option.
Each module responds to a stage of the decision cycle: see, anticipate, act.
Data from multiple exchanges is brought together in a single interface. No need to navigate between tabs or manually cross-reference exports to obtain a consistent view.
The models analyze historical series and correlations between markets to estimate likely trajectories. The results are presented with their confidence level, not as certainties.
Each recommendation is accompanied by a continuously recalculated risk indicator, based on volatility, liquidity and current exposure. The objective is to make the return/risk trade-off visible before acting.
Three steps, executed continuously, from raw flow to decision.
Feeds from different marketplaces are collected via API and normalized into a single format, ready for analysis.
Neural networks trained on time series identify recurring patterns and significant deviations from usual behavior.
The results are translated into concrete actions, classified by priority and accompanied by a risk score, ready to be validated by the user.
An investor simultaneously tracks price differences between platforms. The dashboard flags significant deviations and their estimated window of validity, reducing the time spent manually monitoring each market.
A finance team uses the projections to adjust cash allocation across multiple accounts and currencies, based on numerical scenarios rather than point estimates.
Torrent Fondif was designed for users who deal with financial decisions outside of a traditional institutional framework: independent investors, multiple activity workers, managers of small structures. The objective remains constant: transform a volume of data difficult to exploit manually into clear recommendations, with a measured risk.
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Data is encrypted in transit and at rest. API access is authenticated by individual key, revocable at any time from your account.
The flows are processed continuously. The display delay depends on the native latency of each data source, generally on the order of a few seconds.
Yes. The integration is done via read API connections, with no transfer of funds carried out by the platform. Each connection can be disabled independently.