Arc-Fi analyses market data in real time and turns it into clear, ranked recommendations, so you can make informed decisions from wherever you happen to be working.
No minimum deposit required — begin at whatever level suits your circumstances.
Each function feeds the next. Predictive modelling identifies patterns, risk management filters what is acted upon, and real-time execution keeps recommendations current as conditions change.
Arc-Fi's models are trained on historical and live market data to identify recurring patterns and likely near-term movements. Rather than a single forecast, the engine produces a ranked set of scenarios, weighted by how strongly current data supports each one.
Models are retrained on a rolling basis as new data arrives, so recommendations reflect current conditions rather than a static snapshot taken when you first signed up.
Every recommendation is passed through a risk layer before it reaches your dashboard. This layer checks position sizing, exposure concentration, and historical volatility for the asset in question, and will flag or withhold a recommendation if those checks are not satisfied.
You set your own risk tolerance when you set up your account, and the engine respects that setting rather than applying a single default across all users.
Market conditions do not wait for a convenient time zone. The platform monitors relevant feeds continuously and updates its recommendations as new information arrives, so a signal generated overnight is still current when you check it in the morning.
Where you choose to act on a recommendation, execution routing is designed to minimise delay between decision and order placement.
The workflow is designed to take minutes, not hours, so it sits comfortably alongside client work, travel, or a variable schedule.
You connect the market data feeds relevant to your interests, whether that is equities, currencies, or another asset class. The platform pulls updates continuously in the background.
The engine processes incoming data against its models, applies your risk settings, and discards anything that does not meet the threshold you have set.
A short list of ranked recommendations appears in your dashboard, with the reasoning behind each one, so you can review and act in a few minutes wherever you are.
We would rather explain how the system works than ask you to trust it on reputation alone. The three areas below describe the standards the platform is held to.
Models combine statistical pattern recognition with rule-based risk filters. Outputs are backtested against historical data before release and monitored against live outcomes afterwards, with underperforming components retired or retrained.
Market data is sourced from licensed providers and checked for gaps or anomalies before it reaches the model. Where a feed is delayed or incomplete, affected recommendations are marked accordingly rather than silently included.
Every recommendation includes a short explanation of the factors that produced it. There is no unexplained "black box" score; you can see the inputs that led to a given output before deciding whether to act on it.
Set up an account, connect a data feed, and see how the recommendations are structured before deciding how much to commit.
No minimum deposit required.