How We Evaluate Platforms
Every review on AiTrading.cash is built on a rigorous, repeatable evaluation process. We invest over 30 hours of hands-on testing per platform, score against six weighted criteria, and refuse paid placements. Here is exactly how it works.
30+ hours per platform
Six weighted criteria. Hands-on testing. Zero paid placements.
Six Evaluation Criteria
Each platform is assessed across six core areas. The percentage weight reflects how much each criterion contributes to the final composite score.
Trading Fees & Costs
We examine spreads, commissions, withdrawal fees, inactivity charges, and hidden costs. Platforms are scored on how clearly fee structures are presented before sign-up and how they compare to industry benchmarks.
Platform Usability
We assess interface design, navigation clarity, mobile responsiveness, order execution speed, and the overall experience for both first-time and experienced traders.
Risk Management Tools
We evaluate stop-loss features, negative balance protection, leverage controls, risk disclosure prominence, and whether the platform actively helps users manage their exposure.
Customer Support
We test response times across live chat, email, and phone. Support agents are evaluated on accuracy, helpfulness, and their ability to resolve realistic user issues.
Regulatory Compliance
We verify licences with recognised authorities (FCA, CySEC, ASIC, SEC), check enforcement history, confirm client fund segregation, and review compensation scheme membership.
AI Technology Integration
We distinguish genuine AI capabilities — machine learning models, adaptive algorithms — from basic automation rebranded as "AI". Transparency of decision-making and user control are key factors.
How We Calculate the Final Score
Each criterion is scored independently on a 1–10 scale. The final composite score is a weighted average of all six criteria, producing a single 1–10 rating.
Weighted Score Formula
Score Interpretation
Fully regulated, transparent, well-designed, and consistently reliable across all evaluation criteria.
Strong in most areas with minor shortcomings. Generally a solid choice for the appropriate user segment.
Adequate for certain use cases but with notable gaps in regulation, fees, or user experience.
Significant concerns in one or more critical areas. Users should exercise additional caution.
Our Three-Step Process
Every platform review follows the same disciplined workflow to ensure consistency and depth.
Initial Research
We register a real account, complete KYC, review public documentation, regulatory filings, and fee schedules.
Hands-On Testing
30+ hours per platform
Our analysts spend a minimum of 30 hours per platform — executing trades, testing support channels, stress-testing features under volatile and normal conditions.
Ongoing Monitoring
Reviews are revisited every 6–12 months or sooner when significant changes occur in pricing, regulation, or platform features.
What We Test — In Detail
Below is a detailed breakdown of what our analysts check within each evaluation area. This is the actual testing framework we follow — not a simplified summary.
Trading Fees & Costs
Fee transparency is one of the most important factors when choosing a trading platform. Hidden or excessive fees can significantly erode returns over time, particularly for frequent traders.
What we check
- Spread analysis across major trading pairs and asset classes during peak and off-peak hours.
- Commission structure review — fixed vs. variable, per-trade vs. per-lot.
- Withdrawal and deposit fee verification, including any minimum amounts or processing delays.
- Inactivity fee policies and dormant account charges.
- Currency conversion fees for international accounts.
- Comparison of advertised fees vs. actual fees experienced during live testing.
Our stance: We penalise platforms that bury fee information in fine print or use misleading "zero commission" claims that are offset by wider spreads.
Platform Usability
A platform can have excellent features on paper, but if the interface is confusing or slow, it fails the people who need it most — particularly those new to trading or over 40 who value clear, readable layouts.
What we check
- Account registration process — time from sign-up to first trade capability.
- Interface clarity and navigation for users with no prior trading experience.
- Mobile app quality, responsiveness, and feature parity with the desktop version.
- Order execution speed and reliability under normal and volatile conditions.
- Charting tools, technical indicators, and customisation options.
- Accessibility features including font sizing, contrast, and screen reader support.
- Search functionality and help documentation within the platform.
Our stance: We test each platform as a first-time user would. If we struggle to find basic features or complete core actions, the usability score reflects that.
Risk Management Tools
Responsible platforms provide clear, accessible tools that help users manage exposure. The absence of these tools — or poor implementation — is a serious concern we weigh heavily.
What we check
- Stop-loss and take-profit order availability, including guaranteed stop-loss options.
- Negative balance protection policies and implementation.
- Risk disclosure prominence — how clearly and early the platform warns about potential losses.
- Leverage controls and whether the platform encourages conservative or aggressive settings by default.
- Position sizing tools and portfolio risk analytics.
- Margin call procedures and communication clarity.
- Demo account availability for risk-free practice.
Our stance: Platforms that default to high leverage or minimise risk warnings receive lower scores, regardless of other strengths.
Customer Support Quality
When something goes wrong — a failed withdrawal, a technical glitch, or a billing question — users need responsive, knowledgeable support that resolves issues quickly.
What we check
- Live chat response time testing across different hours and days of the week.
- Email support quality — accuracy, helpfulness, and resolution time.
- Phone support availability and wait times (where offered).
- Support agent knowledge of platform features, fees, and regulatory matters.
- Availability of multilingual support.
- Quality and depth of self-service resources: FAQ, knowledge base, video tutorials.
- Escalation procedures for unresolved complaints.
Our stance: We contact support with realistic user questions — not softballs. Platforms are scored on how quickly and accurately they resolve genuine concerns.
Regulatory Compliance
Regulation is the foundation of platform trust. An unregulated platform operating in a regulated market is a red flag that cannot be offset by other features, no matter how polished.
What we check
- Primary regulatory body verification (FCA, CySEC, ASIC, SEC, BaFin, etc.).
- Cross-referencing licence numbers with official regulatory registers.
- History of enforcement actions, fines, or licence suspensions.
- Segregation of client funds — whether user deposits are held in separate accounts.
- Investor compensation scheme membership (e.g., FSCS up to £85,000).
- Anti-money laundering (AML) and Know Your Customer (KYC) compliance standards.
- Transparency of corporate structure and ownership.
Our stance: No amount of good design or low fees compensates for weak or absent regulation. This criterion carries significant weight in our overall score.
AI Technology Integration
AI-powered features are a key differentiator in modern trading platforms — but the quality varies enormously. We distinguish between genuine AI capability and marketing buzzwords.
What we check
- Type of AI integration — machine learning models, rule-based automation, or simple alerts rebranded as "AI".
- Transparency of AI decision-making: can users understand why a recommendation was made?
- Copy-trading and social trading AI: how are "top traders" selected and verified?
- Automated bot reliability, backtesting capabilities, and historical performance data.
- AI-powered risk assessment tools and their accuracy.
- User control over AI features — can strategies be paused, adjusted, or fully overridden?
- Data privacy: how is user trading data used to train or improve AI models?
Our stance: We are sceptical of platforms that over-promise AI capabilities. If "AI" is just a label on basic automation, we say so clearly in our review.
"Our evaluations are based on independent research and testing. We do not accept payment for favourable reviews."
— The AiTrading.cash Editorial Team
Important Notice
AiTrading.cash is an independent educational resource. We are not a broker, trading platform, or financial adviser. Our reviews and scores represent editorial opinion based on structured analysis. Trading involves significant risk, and you may lose some or all of your invested capital.