Your strategy is an asset. Darwinex lists it, tracks it, and allocates real capital against it.

Every trading strategy you run on Darwinex is automatically packaged into a DARWIN, a risk-adjusted, regulated investable product with a quantitative score and a public track record. Instead of trying to explain your edge in screenshots, you publish a live, auditable asset that followers can invest in directly. With more than 3,000 DARWINs listed and over $100M in assets under management, this is not a demo experiment. For a serious trader it means a second income stream on top of P&L, because every investor who allocates to your DARWIN pays you a 15% share of the 20% total performance fee under a proper High-Water Mark with a quarterly cycle.

DARWINIA is the in-house allocation programme. When your D-Score and consistency clear the bar, Darwinex deploys firm capital directly into your DARWIN across SILVER and GOLD tiers, scaling to as much as €500K per month and up to €3M over a six-month horizon. To date more than $55M has been allocated through the programme and over €4M has already been paid out in performance fees to traders. For proven performers this replaces the prop challenge treadmill with a real, repeatable allocator relationship: you keep your account, keep your strategy, keep your IP, and the capital chases the track record rather than the other way round.

Pricing rewards quality, not volume. The D-Score is a talent-linked metric, so a score above 60 drops your commission by 40% and a score between 55 and 60 drops it by 20%, on top of $1.5 per lot Pro pricing with 10 to 40% rebates. Underneath that sits the infrastructure an algo desk actually needs: MT4, MT5, an IBKR bridge, TradingView, FIX 4.4 and native Python-ZeroMQ bridges, execution out of Equinix LD4 with BeeksFX VPS, and coverage across 800 US stocks, 100+ ETFs and futures on CME, CBOE, EUREX and ICE. For systematic traders this means you can deploy the same code stack you already run, route it through an FCA-regulated venue, and measure performance against investors who are actually watching.