Corvenhall Trust data analyst reviewing AI-generated investment insights on a screen

AI-Driven Analysis for Supplemental Income, Built Around Gig-Economy Schedules

Corvenhall Trust applies predictive modeling to market data so independent contractors can make informed investment decisions between shifts. Zero trading fees mean you retain 100% of every gain the platform helps you identify.

Get Started with Corvenhall See How It Works

Available to individual users across Canada. No commission, no spread markup, no subscription required to start.

The Margin Gap

Transaction fees and slow analysis quietly erode gig-based returns

Most contractors who invest supplemental earnings do so in fragments of free time, often relying on generalized market commentary rather than data specific to their position size and risk tolerance. Standard brokerage fee structures compound this problem: a 1–2% fee on each transaction may look minor in isolation, but across dozens of trades a year it removes a material share of the return an investor actually earns.

Corvenhall Trust was built to close that gap. The platform removes trading fees entirely and replaces manual research with continuously updated predictive models, so the time you have available to invest is spent on decisions rather than on data collection.

Typical brokerage fee per trade 1.0% – 2.0%

Corvenhall Trust trading fee 0%

Profit retained by the user 100%

Model refresh cycle Real time

Core Capabilities

A predictive engine and a fee structure designed for the same outcome

Each capability below addresses a specific constraint faced by part-time, non-institutional investors: limited research time, limited capital, and fee sensitivity.

Predictive Market Intelligence

Machine learning models continuously process pricing, volume, and volatility data to surface risk-adjusted opportunities relevant to smaller, flexible positions rather than institutional-scale trades.

The Corvenhall Commitment

Corvenhall Trust charges no per-trade commission and no spread markup for individual users. Platform costs are covered through separate enterprise licensing, so your gains are not reduced before they reach you.

Real-Time Strategic Recommendations

Recommendations update as market conditions shift, giving you a current view of position risk between shifts, deliveries, or client engagements rather than a static report from the previous day.

Corvenhall Trust analytics workspace showing data-driven investment review

About the Platform

Built for people whose income does not follow a fixed schedule

Corvenhall Trust was designed around a specific constraint: gig economy workers rarely have the uninterrupted hours that traditional investment research assumes. The platform condenses that research into a small number of clear, time-stamped recommendations, so a decision that once required an evening of reading can be evaluated in minutes.

The underlying models are recalibrated against live market data rather than static historical averages, which keeps recommendations aligned with current, not outdated, conditions.

Methodology

From raw market data to a recommendation you can act on

Strategic precision depends on a disciplined pipeline. Here is how information moves through the platform before it reaches your dashboard.

Data Ingestion

The platform ingests pricing, volume, and volatility data from multiple market feeds on a continuous basis, normalizing it for consistency before any modeling occurs.

AI Optimization

Predictive models weigh risk factors against your stated risk tolerance and position size, filtering out signals that fall outside your defined parameters.

Execution Recommendation

You receive a specific, time-stamped recommendation with the reasoning behind it, allowing you to execute the trade directly or decline it without penalty.

Applications

Three ways contractors put the platform to work

The right use case depends on your goal: building a buffer against irregular income, managing existing exposure, or deploying limited capital more efficiently.

Income Stability

Supplemental Portfolio Building

Contractors with variable weekly earnings use recommendations to build a secondary income stream, directing a fixed share of each payout toward positions flagged for favourable risk-adjusted returns.

Downside Protection

Risk Hedging

Users with exposure to a single sector, such as ride-share or delivery-linked equities, apply model output to identify offsetting positions that reduce concentration risk.

Capital Discipline

Capital Efficiency

With no trading fees eating into small transactions, users with modest available capital can rebalance more frequently without the cost overhead that typically discourages smaller trades.

Frequently Asked

Questions on fees, accuracy, and security

How can trading be fee-free for individual users?

Corvenhall Trust generates revenue through enterprise data-licensing agreements with institutional partners, not through commissions charged to individual investors. This separates our incentives from your trading volume, so there is no structural benefit to encouraging unnecessary transactions.

How is the accuracy of the predictive models validated?

Models are back-tested against historical market data and continuously benchmarked against live outcomes. Performance metrics are reviewed on a rolling basis and models are recalibrated when accuracy drifts outside defined thresholds. No model eliminates market risk, and recommendations should be evaluated alongside your own judgment.

How is my data and account activity secured?

Account data and transaction records are encrypted in transit and at rest. Access to underlying model infrastructure is restricted and logged. As with any investment platform, users are encouraged to enable available account-level safeguards and review activity regularly.