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Browse all reviews, rankings, guides, strategies, and trust documents.
An honest breakdown of who operates this site and how content is produced.
Data ingestion (automated)
We scrape public metadata from the MQL5 marketplace daily — author, category, ratings, reviews, downloads, license, screenshots — and store it in our Postgres database with full provenance.
Draft generation (AI-assisted)
Each review or guide draft is generated by GPT-class language models grounded in the structured database — never on free-form web search — so the model only references facts we have collected and labelled. Every draft is tagged ai_generated_at and ai_model in the database.
Quality gates (automated)
Drafts pass through automated checks for hallucinated entities, forbidden financial advice phrasing ("guaranteed returns", etc.), broken internal links, and minimum word count before they can be published.
Human review (weekly sample)
William personally reviews a randomized sample of newly-published content each week and corrects errors. All edits are logged and surface as last_human_review timestamps on the page itself.
Continuous corrections
Every page has a feedback channel. Reader-reported corrections are triaged within 7 days and either resolved or publicly responded to with sources.
GPT-class language models scoped to our internal product DB. Generates first drafts only — never publishes without quality gates.
Automated checks + weekly human review by the founder. All criteria are public on /about/methodology.
Source attribution, conflict-of-interest disclosure, error correction policy — published at /about/editorial-standards.
Scrapers, sitemap generation, GSC pulls, IndexNow submission, indexing automation — all open-source on our GitHub org.
Google's YMYL guidance (December 2022 onward) explicitly rewards content that demonstrates real authorship and accountable expertise. Hidden AI content with fabricated authors is the failure mode they penalize hardest.
We chose to disclose because the alternative — inventing fictional analysts — is the same pattern that Google, journalists, and the FTC actively pursue. Every claim on this site is verifiable against MQL5 marketplace data, broker APIs, or our own live trading accounts.
If you spot an error or hallucinated claim, write to editor@fxroboteasy.com and we will correct it within 7 days.