Disclaimer: Not financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss. See our Editorial Policy for details.
Testing Methodology

How we test AI trading bots and brokers.

Every platform on this site is reviewed using the same 6-month live-funded testing protocol. This page documents that protocol in full: the trading volume, the data we collect, the regulators we cross-check against, and the 8-criteria scoring rubric that decides whether a review gets a positive recommendation or a "skip it."

Last updated: May 12, 2026 · Author: Alex Rivera, CFA

The 6-month live testing protocol

Every bot or broker we recommend has gone through three sequential phases of live testing. We do not pass platforms through faster than this — if a partner asks us to publish a "Day 30 first impressions" review, we say no. Six months of live exposure is the minimum cycle that surfaces the things that matter: stop-loss execution under stress, withdrawal friction, and whether spreads widen during the U.S. open or only during the Asian session.

Phase 1 — Account setup (Week 1)

Phase 2 — Active trading (Months 1-5)

Phase 3 — Withdrawals and support (Month 6)

Scoring criteria

Each platform is rated on 8 standardized criteria. Weights add to 100% and have been chosen so that "safety + cost" together account for 40% of the score — the two areas where retail traders are most often misled.

CategoryWeightWhat we measure
Regulation & Safety20%Licensing tier, segregated client funds, compensation schemes (FSCS, ICF, SIPC), parent entity transparency.
Trading Costs20%Effective spreads, commissions, overnight financing, inactivity fees, currency conversion spreads, withdrawal fees.
Platform & Tools15%Charting capability, available order types, mobile app stability, API access, integrations.
Execution Quality15%Order fill speed, slippage distribution, requote frequency, behavior during high-volatility events.
Account Types10%Minimum deposits, leverage options, available account variations (Islamic, professional, joint).
Research & Education10%Quality of market analysis, depth of tutorials, webinar programming, tool quality.
Customer Support5%Response time per channel, resolution quality, language coverage, weekend availability.
Withdrawal Experience5%Processing time, available methods, hidden fees, friction on first withdrawal vs. subsequent ones.
Publication thresholds

Articles must score at least 75/100 to be auto-published. Scores between 55 and 74 are sent to a human review queue. Scores below 55 are rejected and never go live. Our target rejection rate is ~35% — this is intentional. A high rejection rate is a feature, not a bug: it means the bar to appear on this site is meaningfully higher than "we ran an AI rewrite of a press release."

Data sources

Our reviews draw from four data layers, weighted in this order:

  1. Primary (test data). Our own 6-month live-funded test logs. These are the numbers that appear in every comparison table on the site.
  2. Regulatory (primary registers). FCA (UK), ASIC (Australia), CySEC (Cyprus), SEC and FINRA (US), MAS (Singapore), BaFin (Germany) and other jurisdiction-specific registers. We verify the license number directly — not the broker's claim about it.
  3. Community sentiment. Trustpilot reviews (filtered for verified purchases), Reddit (r/Forex, r/Trading, r/algotrading) over a rolling 90-day window, and broker forum discussions. We use this to triangulate against our own test experience.
  4. Official documentation. The platform's own legal terms, fee schedules, and KYC documentation. Used only to cite obligations we then verify against live experience.

What we deliberately do not do

How we handle conflicts of interest

Broker Tested Reviews earns revenue from affiliate partnerships, including Zephyr AI. Where a review covers a platform that is also an affiliate partner, we disclose the relationship at the top of the review and reiterate it inline with every link. The scoring rubric is applied identically to affiliate and non-affiliate platforms — the critic pass that scores a draft does not know which platforms are partners.

We have published negative reviews of platforms whose affiliate programs we have access to. We will keep doing this. If you find a review that reads as suspiciously positive, email us directly at contact@brokertestedreviews.com and we will publish a re-test.

How often we re-test

Markets and platforms change. We re-test every covered platform at least once per year, and immediately on any of the following triggers:

The "Last tested" date at the top of every review reflects the most recent full re-test. The "Last updated" date reflects any factual correction or addition since.

Reporting an error or a missed test

We treat factual errors as a serious problem and publish a correction with a dated changelog at the bottom of the affected article. To report one, email contact@brokertestedreviews.com with the article URL, the specific claim, and your supporting evidence. We aim to publish the correction within 5 business days.

Disclaimer: Not financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss. See our Editorial Policy.