McCortex OI

About McCortex OI

  • Who We Are McCortex OI is a browser-based workspace that applies machine-learning models to crypto market data, executing strategies on our own servers rather than the trader's device.
  • Our Mission and Purpose We built McCortex OI to give traders a clean, capable interface for deploying tested strategies without writing code, while keeping risk limits enforced before every order.
  • The Team Behind Us Our team combines experience in trading infrastructure and machine learning to maintain a workspace that keeps running whether or not the trader's device is online.
  • Track Record and Reporting Every position and performance detail is gathered in one place, so traders can review outcomes directly rather than relying on claims made elsewhere.
  • Our Approach to Transparency We disclose our onboarding steps, pricing model and risk controls openly, and we never present illustrative figures as guaranteed or achieved results.

About us

McCortex OI is a browser-based workspace built for traders who want machine-learning models doing the repetitive work of watching markets, while final judgment about risk and capital stays with the person who owns the account. This page explains what the platform is for, how it came about, how the work is divided between automation and the trader, and what standards we hold ourselves to when we write about it.

Who we are and what the workspace is for

McCortex OI exists to give traders access to machine-learning driven strategies without requiring them to write code, manage servers, or watch charts around the clock. The workspace applies models to spot and futures crypto markets, on both long and short positions, and executes the resulting strategies on its own infrastructure rather than on the trader’s device. That distinction matters: a laptop or phone becomes a control panel used to configure, monitor, and adjust, rather than a machine that has to stay switched on for a strategy to keep running.

We built this for a specific kind of user: someone who already understands that trading carries real risk, who wants a structured way to deploy tested strategies, and who values having risk limits enforced automatically rather than relying on discipline alone in the middle of a volatile session. The workspace is not a signal service and not a black box that trades on your behalf without your input. Every strategy is something the trader selects, and every risk limit is something the trader sets before execution begins.

We are a technology company focused on one product area: applying data and models to crypto market execution in a way that is transparent about what is automated and what is not. We do not publicly disclose internal details such as team size or office location, and we would rather leave a fact unstated than present something invented as a company history.

How the product came about and what it optimises for

McCortex OI grew out of a straightforward observation: most retail traders lose time and edge simply because they cannot monitor markets continuously, and manual execution introduces delay and inconsistency exactly when a strategy needs speed and repeatability. The product was built to close that gap by moving execution off the trader’s device and onto dedicated servers, so a strategy runs on the same terms whether the trader is watching a screen or asleep.

The platform optimises for three things above everything else: consistency of execution, enforcement of risk limits before an order goes out rather than after, and a workspace that behaves the same way on a desktop browser as it does on a phone. We did not set out to promise a particular rate of return, and we do not optimise for headline figures. Illustrative numbers, where they appear anywhere on this site, describe how a feature works, not a result any trader should expect to reproduce.

What we optimise for instead is reliability of the plumbing: a strategy that keeps running through a dropped connection, a risk gate that actually sits before order placement, and reporting that shows a trader what happened without requiring them to reconstruct it from a dozen tabs. That is the design brief the product has followed since it started, and it remains the brief today.

How we work: what is automated and what stays with the trader

The division of labor on McCortex OI is deliberate. Machine-learning models process market data continuously and identify conditions that match the logic of a given strategy. Once a trader has selected a strategy from the library and set risk limits around it, execution itself is automated: orders are placed, positions are managed, and the strategy continues to operate even if the trader’s device loses power or connectivity. This server-side design is what allows the workspace to describe itself as a control panel rather than a workstation.

What does not get automated is the decision layer that matters most. Choosing which strategy to run, deciding how much capital to allocate to it, and setting the risk limits that the system will enforce before any order is placed are all actions the trader takes deliberately. The platform will not silently raise a risk limit or switch strategies on its own. Alerts on fills and on limit breaches exist precisely so that a trader stays informed of what the automation is doing, without needing to watch a screen to find out.

This split is intentional rather than a limitation. Automation handles what machines do better than people: continuous monitoring, disciplined execution, and consistent application of a risk rule. Judgment about capital allocation and strategy selection stays with the person whose capital is at risk, which is where we believe it belongs.

Editorial and data standards on this site

Everything published on this site is written from McCortex OI as the platform itself, not as an independent reviewer or third party. We describe what the product does and how it works, and we try to be equally clear about what it does not do. Where a figure would need to be invented to sound complete, we leave it out rather than fabricate a number, a founding date, a team size, or a claim about recognition the product has not received.

We do not publish win rates, accuracy percentages, or backtest returns, because a single figure taken out of context tends to imply more certainty than any trading system can honestly offer. Trading digital assets carries substantial risk, including the total loss of capital, and past performance or any illustrative figure on this site does not guarantee future results. Nothing on this website is investment advice, and using McCortex OI does not remove the responsibility a trader has to understand the risk of the positions they open.

We hold this page to the same standard as the rest of the site: state plainly what the workspace is, describe the mechanics of automation without overselling them, and avoid the kind of vague language that reads well but says nothing. If a claim cannot be supported by what the product actually does, it does not belong here.