Vega is a platform that lets you invest in algorithmic trading strategies built by verified developers. Think of it like buying a share in a trading algorithm: as the strategy performs, so does your investment.

No. Every strategy is described in plain English with no jargon. We show you what the algorithm trades, how it has performed historically, and what level of risk it carries. All explained clearly.

Every strategy goes through human review before it's listed on the platform. You'll also see full backtested performance data, a risk rating, and a profile of the developer who built it. We don't publish strategies without verification.

Backtesting means running the algorithm against historical market data to see how it would have performed. It's a standard method for evaluating trading strategies, though past performance doesn't guarantee future results, and we're transparent about that.

Vega is on the path to getting regulated by the FCA. We are working closely with the FCA and compliance experts to mitigate any risks before launching. All trades will also be handled by an already regulated third-party broker, ensuring even more protection to our users.

A trading algorithm is a set of rules that automatically buys and sells financial assets — like currencies, stocks, or commodities — based on data and pre-defined conditions. Unlike a human trader, it has no emotion, it doesn't panic when markets drop, or get greedy when they rise. It simply follows its rules, around the clock, without hesitation or error. For example, an algorithm might be programmed to buy gold when its price drops below a certain level relative to silver, then sell when the gap closes. It runs that logic continuously, far faster and more consistently than any human could.

Traditional investing gives you exposure to company performance. Vega gives you exposure to trading strategies. Algorithms can generate returns regardless of whether the market is going up or down, depending on how they're designed.

Robo-advisors manage a diversified portfolio on your behalf using a fixed approach. Vega lets you choose specific strategies, see exactly how they work, and decide how much to allocate to each. You stay in control.

There's no minimum and no requirement to be a sophisticated or high-net-worth investor.

Yes. There are no lock-in periods and no exit fees. You can sell your position at any time, just like selling a stock.

Yes, Vega will be available on iOS and Android, as well as via the web.

Any established or aspiring quantitative developer with Python knowledge can apply to become a Vega developer. We'll verify your background before you can publish.

Vega Developer is a web-hosted Python IDE with access to live market data, built-in backtesting, and one-click publishing to the platform. You don't need to set up your own infrastructure.

You earn a performance fee — a percentage of the returns generated for investors in your strategy. The more assets your strategy attracts and the better it performs, the more you earn.

It's what makes the platform trustworthy. Investors can see exactly what algorithm they're backing and know it won't be silently altered. It's the same principle behind transparency in fund management.

Yes. Developers can maintain a portfolio of published strategies across different markets and risk profiles.

Most quant developers can show code on GitHub or backtests in a notebook. Very few can point to a real algorithm that has managed real investor capital. A published Vega strategy gives you a live, verifiable track record, which is the hardest thing to come by early in a quant career, and the thing that hiring managers at hedge funds and prop trading firms actually want to see.