Predictive models
The models recognize recurring patterns in millions of historical and current data points, from price movement to order book depth, and translate this into actionable signals.
Set up an optimized portfolio in 60 seconds with Felivo Nolur. Let algorithms do the complex data analysis, while you remain in control of every decision.
Connect your exchange via API and immediately view a proposal for your portfolio, without manual analysis.
The problem
Crypto markets move 24 hours a day, 7 days a week. Manually filtering price data, news and order books takes time that the market does not give you. By the time a pattern is visible to the naked eye, part of the market has already reacted to it.
This difference in speed leads to two recurring problems: missed entry points and positions that remain open longer than is responsible. Neither is a lack of skill. It is a consequence of the amount of data that a human simply cannot process continuously.
How it works
Felivo Nolur does not replace your own insight, but accelerates the analysis underneath. Three components form the core of the system.
The models recognize recurring patterns in millions of historical and current data points, from price movement to order book depth, and translate this into actionable signals.
Positions are continuously tested against preset risk limits. In case of deviating market conditions, the system immediately adjusts protective parameters.
Each recommendation is immediately applicable and scales with the size of your portfolio, from a single position to a diversified allocation.
One click setup
Securely connect your existing exchange account via an API key with read-only or trading permissions, depending on your preference.
The system assesses your current position, open orders and current market conditions, and creates a customized portfolio scenario.
You review the proposal, adjust parameters if necessary and confirm the optimization. Implementation follows immediately.
Methodology
Felivo Nolur makes no promises about guaranteed returns. The system is built on measurable data integrity and auditable logic, so that every recommendation can be traced back to an underlying reason.
Market data, order book information and sentiment analysis from publicly available news and social media channels are combined into one coherent image per asset.
Each model is tested on historical market data from multiple market cycles before being used for current recommendations. Past results are no guarantee, but they do provide a frame of reference for consistency.
No credit card required for the initial analysis.