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Choice Fundex dashboard environment showing data analysis used for gig economy income optimisation
Zero-Fee Execution Model

Probabilistic yield optimisation for supplemental income, without execution fees

Choice Fundex processes market data through predictive models and surfaces statistically weighted recommendations. Trades execute at zero fee, so compounding is calculated on gross returns rather than returns net of deductions.

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0.00% Fee per execution
~40ms Model-to-signal latency
14 Active data feeds
Fee Structure

A zero-fee model is a compounding advantage, not a marketing claim

Transaction fees compound against a position in the same way returns compound in favour of it. Removing the fee variable from every trade means the full value of a gain is retained and carried into the next cycle. Choice Fundex does not charge commission, spread mark-up, or withdrawal fees on standard transactions.

MetricTypical fee modelChoice Fundex
Fee per trade0.5%–2.0%0.0%
Withdrawal charge£1–£5£0
Settlement window1–3 daysSame day
Minimum depositVariesNo minimum

Illustrative retention over 20 executions

Based on a simplified model with identical gross returns per trade, isolating the effect of fee deduction. Figures are for illustration of the mathematical principle, not a forecast.

Platform charging 1.5% per trade71% retained
Choice Fundex zero-fee execution100% retained

Calculation assumes 20 sequential trades of equal size with fees deducted per execution. Market outcomes remain probabilistic regardless of fee structure.

Methodology

How the model converts data into a recommendation

Every signal produced by Choice Fundex passes through five discrete stages. Each stage is logged, so the reasoning behind a recommendation can be reviewed rather than treated as a black box.

  1. Ingestion

    Raw price, volume and order-book data are pulled from licensed market feeds at sub-second intervals.

  2. Normalisation

    Inputs are cleaned and scaled so comparisons across instruments remain statistically valid.

  3. Feature scoring

    Historical pattern weightings are applied to generate a probability distribution of likely outcomes.

  4. Risk filtering

    Positions exceeding defined volatility or exposure thresholds are down-weighted or excluded.

  5. Signal output

    A recommendation is surfaced with a confidence interval, never a guaranteed outcome.

Risk mitigation logic

Recommendations are capped by position-sizing rules that limit exposure per trade and per session. The model does not pursue a single large position as a substitute for a higher-confidence signal. Where confidence intervals fall below a defined threshold, no recommendation is issued, and the system reports this as an abstention rather than a forced output.

All outputs are expressed as probabilistic outcomes. Choice Fundex does not represent any recommendation as certain, and historical model performance is not a guarantee of future results.

Real-time processing stats

  • Average signal latency38–45ms
  • Data refresh interval500ms
  • Concurrent data feeds14
  • Model re-training cycleDaily
  • Confidence threshold for output≥60%
Application

Fitting model-driven sessions around irregular working hours

Gig economy schedules rarely follow fixed blocks of time. The scenarios below describe how the platform is typically used within short, defined windows rather than continuous monitoring.

Evening review

After a delivery or driving shift

A short session reviewing the day's signals and adjusting open positions based on updated confidence intervals.

Time commitment
10–15 min
Session type
Review & adjust
Outcome basis
Probabilistic
Weekend batch

Scheduled weekly allocation

A longer session, typically on a day off, used to set allocations for the week based on aggregated weekly model output.

Time commitment
20–30 min
Session type
Planning
Outcome basis
Probabilistic
Low commitment

Passive monitoring between jobs

Notifications surface only when a signal crosses the defined confidence threshold, reducing the need for constant checking.

Time commitment
<5 min/day
Session type
Monitoring
Outcome basis
Probabilistic
Transparency

Data sourcing, security and compliance framework

Analytical credibility requires visibility into where data originates and how account information is protected. The summary below outlines the categories involved.

Data sources

  • Licensed market price and volume feeds
  • Exchange-level order book data
  • Published macroeconomic indicators
  • Aggregated public sentiment indices

Security protocols

  • Encryption of data in transit and at rest
  • Two-factor authentication on account access
  • Segregated client fund handling
  • Periodic internal access review

Compliance summary

  • Account data processed under UK GDPR
  • Risk disclosures provided prior to activation
  • Identity verification required before trading
  • Operations aligned with applicable UK financial conduct standards
About the Platform

Built for data-literate users who want evidence, not promises

Choice Fundex was designed around a simple constraint: every recommendation must be traceable to its underlying data and confidence interval. The interface is intentionally dense rather than decorative, reflecting the audience it serves — gig economy participants who want a structured, repeatable process for supplemental income rather than speculative positioning.

Account setup includes a brief verification step and an introductory walkthrough of how confidence intervals are calculated, before any trading activity begins.

Choice Fundex analytical workspace used to review model output and confidence intervals
Frequently Asked

Technical and structural questions

How does the zero-fee structure remain viable?

Choice Fundex does not charge commission or spread mark-up on standard executions. Revenue is generated through optional account tiers and ancillary services rather than per-trade deductions, which keeps the fee variable out of the core trading calculation.

Are the AI recommendations guaranteed to be profitable?

No recommendation is guaranteed. Every signal is expressed as a probabilistic outcome with an associated confidence interval. Market conditions can move outside the range the model has weighted, and past model performance does not predict future results.

How much time does the platform require each day?

This depends on the usage pattern selected. A review-based session typically takes 10–15 minutes, while passive monitoring with threshold-based notifications can require under five minutes per day.

What verification is required to open an account?

Standard identity verification is required before trading activity begins, in line with UK financial conduct requirements. This typically involves confirming identity and payment source details.

Can withdrawals be made at any time?

Withdrawals are processed without a platform fee. Settlement timing can vary depending on the receiving bank, though same-day processing is standard on our side.

Further technical detail, including model documentation, is available on request. View full FAQ documentation.

Account Activation

Retain 100% of trade profit from the first executed signal

Enter a contact email to begin account verification. No card details are required at this stage.

Identity verification is required before trading is enabled. This is a standard UK compliance step and typically takes a few minutes.